{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "L4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lPyZo-rMcUZ5",
        "outputId": "46a63def-1e83-41e2-80cf-2909c1ddf994"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -qq install ultralytics"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YC0R60jBePnc",
        "outputId": "10d5a8ee-9574-487d-c526-2300f3b97609"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m25.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m1.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.3/56.3 MB\u001b[0m \u001b[31m39.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m127.9/127.9 MB\u001b[0m \u001b[31m17.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m101.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# STEP 1: Training YOLOv8 using 14 Classes Dataset\n",
        "\n",
        "[Hyper-parameters tuning ranges](https://docs.ultralytics.com/modes/train/#train-settings)"
      ],
      "metadata": {
        "id": "H6tIs4ezcjHS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Tuning YOLO over 14 classes dataset\n",
        "\n",
        "from ultralytics import YOLO\n",
        "\n",
        "model = YOLO(\"yolov8l-seg.pt\")\n",
        "data_path = \"/content/drive/MyDrive/Repair Project/report/data/14c\"\n",
        "result_path = \"/content/drive/MyDrive/Repair Project/report/results/tuning/14c\"\n",
        "\n",
        "\n",
        "search_space = {\n",
        "    \"lr0\": (1e-5, 1e-1),\n",
        "    \"momentum\":(0.6, 0.98),\n",
        "    \"weight_decay\":(0.0, 0.001),\n",
        "    \"hsv_h\": (0.0, 0.1),\n",
        "    \"hsv_s\": (0.0, 0.9),\n",
        "    \"hsv_v\": (0.0, 0.9),\n",
        "    \"scale\": (0.0, 0.9),\n",
        "    \"box\": (0.02, 0.2)\n",
        "\n",
        "  }\n",
        "\n",
        "model.tune(\n",
        "    data= data_path + \"/data.yaml\",\n",
        "    epochs=20,\n",
        "    iterations=50,\n",
        "    optimizer=\"AdamW\",\n",
        "    project=result_path,\n",
        "    space=search_space,\n",
        "    plots=True,\n",
        "    save=True,\n",
        "    val=False,\n",
        "    device=\"cuda\"\n",
        ")"
      ],
      "metadata": {
        "id": "T474WqE8cX_G"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Training over Best Found Hyper-parameters\n",
        "from ultralytics import YOLO\n",
        "import torch\n",
        "torch.cuda.empty_cache()\n",
        "\n",
        "model = YOLO(\"yolov8l-seg.pt\")\n",
        "data_path = \"/content/drive/MyDrive/Repair Project/report/data/14c\"\n",
        "result_path = \"/content/drive/MyDrive/Repair Project/report/results/training/14c\"\n",
        "\n",
        "model.train(\n",
        "    data= data_path + \"/data.yaml\",\n",
        "    project=result_path,\n",
        "    imgsz=800,\n",
        "    epochs=250,\n",
        "    batch=16,\n",
        "    name=\"train_250_800_16\",\n",
        "    device=\"cuda\",\n",
        "    augment=True,\n",
        "    cache=False,\n",
        "    save=True,\n",
        "    save_period=100,\n",
        "    lr0 = 0.01,\n",
        "    momentum= 0.937,\n",
        "    weight_decay= 0.0005,\n",
        "    hsv_h= 0.015,\n",
        "    hsv_s= 0.7,\n",
        "    hsv_v= 0.4,\n",
        "    scale= 0.5,\n",
        "    box= 7.5,\n",
        "    verbose=True,\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "skhX5jncdL62",
        "outputId": "dc2bc732-4bbe-4fab-fbbb-f7ff54bf3a2d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=True, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/content/drive/MyDrive/Repair Project/report/data/14c/data.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=250, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=800, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8l-seg.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=train_250_800_16, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=/content/drive/MyDrive/Repair Project/report/results/training/14c, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16, save_frames=False, save_json=False, save_period=100, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=segment, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n",
            "Overriding model.yaml nc=80 with nc=14\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1      1856  ultralytics.nn.modules.conv.Conv             [3, 64, 3, 2]                 \n",
            "  1                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
            "  2                  -1  3    279808  ultralytics.nn.modules.block.C2f             [128, 128, 3, True]           \n",
            "  3                  -1  1    295424  ultralytics.nn.modules.conv.Conv             [128, 256, 3, 2]              \n",
            "  4                  -1  6   2101248  ultralytics.nn.modules.block.C2f             [256, 256, 6, True]           \n",
            "  5                  -1  1   1180672  ultralytics.nn.modules.conv.Conv             [256, 512, 3, 2]              \n",
            "  6                  -1  6   8396800  ultralytics.nn.modules.block.C2f             [512, 512, 6, True]           \n",
            "  7                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
            "  8                  -1  3   4461568  ultralytics.nn.modules.block.C2f             [512, 512, 3, True]           \n",
            "  9                  -1  1    656896  ultralytics.nn.modules.block.SPPF            [512, 512, 5]                 \n",
            " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 12                  -1  3   4723712  ultralytics.nn.modules.block.C2f             [1024, 512, 3]                \n",
            " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 15                  -1  3   1247744  ultralytics.nn.modules.block.C2f             [768, 256, 3]                 \n",
            " 16                  -1  1    590336  ultralytics.nn.modules.conv.Conv             [256, 256, 3, 2]              \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 18                  -1  3   4592640  ultralytics.nn.modules.block.C2f             [768, 512, 3]                 \n",
            " 19                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 21                  -1  3   4723712  ultralytics.nn.modules.block.C2f             [1024, 512, 3]                \n",
            " 22        [15, 18, 21]  1   7899802  ultralytics.nn.modules.head.Segment          [14, 32, 256, [256, 512, 512]]\n",
            "YOLOv8l-seg summary: 231 layers, 45,946,842 parameters, 45,946,826 gradients, 220.9 GFLOPs\n",
            "\n",
            "Transferred 651/657 items from pretrained weights\n",
            "Freezing layer 'model.22.dfl.conv.weight'\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.3±0.1 ms, read: 170.3±190.3 MB/s, size: 319.8 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/14c/train/labels.cache... 324 images, 3 backgrounds, 0 corrupt: 100%|██████████| 324/324 [00:00<?, ?it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n",
            "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.7±0.3 ms, read: 48.2±50.2 MB/s, size: 109.8 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/14c/val/labels.cache... 40 images, 0 backgrounds, 0 corrupt: 100%|██████████| 40/40 [00:00<?, ?it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Plotting labels to /content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16/labels.jpg... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.000556, momentum=0.9) with parameter groups 106 weight(decay=0.0), 117 weight(decay=0.0005), 116 bias(decay=0.0)\n",
            "Image sizes 800 train, 800 val\n",
            "Using 8 dataloader workers\n",
            "Logging results to \u001b[1m/content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16\u001b[0m\n",
            "Starting training for 250 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      1/250      16.2G      1.128      2.156      3.576      1.412         15        800: 100%|██████████| 21/21 [00:20<00:00,  1.03it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.71it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.689      0.276      0.328       0.26       0.67      0.255      0.295      0.213\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      2/250      16.1G     0.8225      1.226      1.962      1.145         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.06it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.78it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.546      0.521      0.434       0.31      0.534      0.484      0.475      0.323\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      3/250      16.2G     0.9291      1.273      1.785      1.214         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.07it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.85it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.516      0.417      0.376      0.241      0.501      0.353      0.322      0.223\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      4/250      16.1G     0.9267      1.271      1.668      1.215         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.88it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.658      0.245      0.226      0.137      0.209      0.367      0.192     0.0804\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      5/250      16.1G      0.993       1.32      1.589      1.255         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.91it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.68      0.253      0.207      0.125      0.646      0.213       0.18     0.0989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      6/250      16.1G     0.9488      1.321      1.514      1.221         38        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.446      0.557      0.418      0.294      0.436      0.523      0.407      0.256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      7/250      16.3G     0.9468      1.316      1.465       1.24         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.92it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.451      0.484      0.421      0.314      0.469      0.375      0.413      0.282\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      8/250      16.2G     0.9071      1.251      1.349      1.195         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.91it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.275      0.557      0.404      0.282      0.248      0.468      0.346      0.212\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      9/250      16.5G     0.8913      1.176      1.232      1.186         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.384      0.397      0.337      0.236       0.42      0.427      0.361      0.222\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     10/250      16.2G     0.9065      1.211      1.244      1.213         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.453      0.576      0.515      0.376      0.449      0.561      0.494      0.296\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     11/250      16.2G     0.8715      1.144      1.197      1.181         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.481      0.414      0.377      0.292      0.447      0.385      0.349      0.221\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     12/250      16.2G     0.8576      1.146      1.132      1.146         39        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.307      0.389      0.274      0.203      0.295      0.356      0.232      0.149\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     13/250        16G      0.905      1.277      1.285      1.204         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.95it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.435      0.486      0.471      0.336      0.423      0.434      0.436       0.27\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     14/250      16.2G     0.8342      1.131      1.106      1.166         35        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.742      0.544      0.645      0.452      0.722      0.518      0.622      0.431\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     15/250      16.2G     0.8222      1.101      1.087      1.135         48        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.522      0.596      0.604      0.457      0.511      0.568      0.566      0.379\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     16/250      16.1G     0.7997        1.1      1.029      1.134         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.589      0.553      0.564      0.406      0.583      0.547      0.563      0.395\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     17/250      16.1G     0.7961      1.048      1.037      1.122         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.672      0.583      0.634      0.465       0.65      0.573      0.601      0.423\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     18/250      16.2G      0.801      1.078      1.046      1.135         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.476      0.627      0.605       0.41      0.464      0.618       0.59      0.396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     19/250      16.3G     0.7641     0.9907     0.9431      1.085         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.95it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.63      0.443      0.478      0.325      0.668      0.434      0.485      0.291\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     20/250      16.1G     0.7778      1.019     0.9546        1.1         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.558      0.519      0.578       0.43      0.554      0.514      0.573      0.392\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     21/250        16G     0.8052      1.054     0.9886      1.138         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.97it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.484      0.391      0.404      0.284      0.465      0.363       0.37      0.195\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     22/250      16.1G     0.7865      1.037      1.006      1.131         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.497      0.521      0.519      0.389       0.52       0.53      0.517      0.355\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     23/250      16.1G      0.752     0.9852     0.9408      1.109         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.651      0.496      0.567      0.424      0.598      0.466      0.519      0.349\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     24/250      16.2G     0.8041      1.072     0.9838      1.146         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.734      0.581      0.629      0.484      0.737      0.589      0.633      0.431\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     25/250      16.1G      0.737       1.03     0.9089      1.091         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.623      0.414      0.418      0.269      0.539      0.406      0.408      0.246\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     26/250      16.2G     0.7256     0.9642      0.837      1.094         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.577      0.286       0.31      0.213      0.519      0.247      0.277      0.165\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     27/250      16.2G     0.7349     0.9675     0.8617      1.107         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.707      0.701      0.733      0.553      0.692      0.688      0.718      0.522\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     28/250      16.2G     0.7369      1.033     0.8946      1.095         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.572      0.741      0.697      0.534      0.559      0.732      0.669      0.469\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     29/250      16.1G     0.7316     0.9698     0.8644      1.088         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.88it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.745      0.674      0.717      0.556      0.753      0.681      0.729      0.529\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     30/250      16.3G     0.7247     0.9606     0.8663      1.101         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.527      0.513      0.577      0.425      0.516      0.508      0.572      0.384\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     31/250      16.2G     0.6947     0.9432     0.8585      1.058         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.67       0.48      0.507      0.379      0.741        0.4      0.483      0.339\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     32/250      16.2G     0.7114     0.9695     0.8651      1.069         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.682      0.487      0.548       0.41      0.546      0.535      0.574      0.394\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     33/250        16G     0.6574     0.8843     0.7541      1.053         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.702      0.592      0.667      0.543      0.699      0.591      0.671      0.493\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     34/250      16.2G     0.7029      0.955     0.8014      1.082         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.765      0.587      0.636      0.492      0.768      0.597      0.635      0.443\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     35/250      16.2G     0.6837     0.9049      0.801      1.067         33        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.773      0.518      0.623      0.491      0.789      0.492      0.622      0.429\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     36/250      16.2G     0.6797     0.9252      0.781      1.061         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.69      0.666      0.704      0.554      0.702      0.674      0.714      0.535\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     37/250        16G      0.686     0.9351     0.7813      1.072         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.99it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.685      0.695      0.728      0.578      0.682      0.684      0.716      0.529\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     38/250      16.1G     0.6927     0.9419     0.7288       1.07         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.509      0.691      0.658      0.527      0.522      0.705      0.677      0.483\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     39/250      16.3G     0.6606     0.9406     0.7478      1.066         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.653      0.743      0.731      0.556      0.655      0.746      0.736      0.537\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     40/250      16.1G     0.6661     0.9019     0.7534       1.03         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.751      0.585      0.648       0.48      0.752      0.586       0.65      0.456\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     41/250      16.1G     0.6492     0.8733     0.7296      1.031         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.816      0.707      0.768      0.562      0.809      0.706      0.767      0.533\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     42/250      16.2G       0.67     0.8933     0.7359      1.043         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.783       0.59      0.754      0.574       0.81      0.601      0.763      0.573\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     43/250      16.1G      0.645     0.8995     0.6832       1.05         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.686       0.72      0.747      0.571      0.688      0.739      0.758      0.543\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     44/250      16.1G     0.6489     0.8888     0.7128      1.056         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.665      0.553       0.62      0.461       0.66      0.547      0.592      0.407\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     45/250        16G     0.6597     0.8613     0.7138      1.054         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.699      0.576       0.63      0.482      0.705      0.581       0.64      0.442\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     46/250      16.2G     0.6465     0.8974     0.6615      1.036         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.631      0.625      0.627       0.49      0.626      0.624      0.613      0.422\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     47/250      16.1G     0.6359     0.9052      0.678       1.04         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.765      0.567      0.712      0.546      0.737      0.539      0.671      0.484\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     48/250      16.2G     0.6296     0.8325     0.6267       1.03         36        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.673      0.654      0.729      0.569      0.605      0.711      0.719       0.51\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     49/250      16.1G      0.652     0.9092     0.7259      1.043         36        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.762      0.598      0.678      0.514      0.769      0.607      0.685      0.483\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     50/250      16.2G     0.6008     0.8162     0.6183      1.006         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.853      0.588      0.711      0.534       0.88      0.592      0.727      0.517\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     51/250      16.2G      0.611     0.8225     0.6227      1.018         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.649      0.646      0.641      0.491      0.659      0.655      0.639      0.487\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     52/250      16.2G     0.6419     0.8988     0.6648      1.033         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.95it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.658      0.621      0.704      0.517      0.647       0.61      0.689      0.472\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     53/250      16.1G     0.6333     0.8601     0.6432      1.017         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.694      0.561      0.613      0.455        0.7      0.551      0.611      0.427\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     54/250      16.2G     0.6329     0.8747     0.6524      1.042         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.643       0.72      0.719      0.528      0.632      0.719      0.703      0.481\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     55/250      16.2G     0.5903     0.8168     0.6013      1.011         36        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.763      0.739      0.768      0.595      0.752      0.739      0.763      0.582\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     56/250      16.3G     0.5929     0.8364     0.6153      1.026         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.692       0.73      0.782      0.628      0.706      0.744      0.795        0.6\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     57/250        16G     0.5791     0.7908     0.5896     0.9922         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.851      0.649      0.681      0.506      0.846      0.643      0.689      0.504\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     58/250      16.2G      0.607     0.8531     0.6438     0.9962         46        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.737      0.668      0.708      0.545      0.733      0.661        0.7      0.451\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     59/250      16.1G     0.5859     0.8083     0.6313      1.004         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.845      0.686      0.765      0.605       0.84      0.682      0.766      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     60/250      16.2G     0.5737     0.7879     0.5912     0.9947         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.781      0.633      0.744      0.609      0.769      0.648      0.754      0.579\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     61/250        16G     0.5886     0.8109     0.5896      1.005         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.771      0.689      0.745      0.609      0.767      0.685      0.745      0.581\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     62/250      16.2G     0.5499     0.7121     0.5531     0.9921         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.733      0.679      0.695      0.556      0.737      0.671      0.691      0.528\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     63/250      16.1G     0.5858      0.854     0.6276      1.026         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.818       0.64      0.726      0.593      0.815      0.636      0.721      0.554\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     64/250      16.3G     0.5858     0.8188     0.6328      1.006         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.747      0.482       0.57      0.443       0.73      0.469      0.566      0.356\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     65/250        16G     0.5816     0.8102     0.6098      1.003         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.649        0.7      0.695      0.565      0.657      0.708      0.707      0.529\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     66/250      16.2G     0.5683     0.8011     0.5593     0.9938         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.833       0.64      0.733      0.589      0.834      0.641      0.738      0.575\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     67/250      16.1G     0.5781     0.7707     0.5847      1.008         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.836      0.616       0.69      0.525      0.828      0.617      0.678      0.505\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     68/250      16.2G     0.5639      0.823      0.527     0.9942         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.714      0.718      0.766      0.632      0.723      0.727      0.773      0.601\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     69/250        16G     0.5729      0.783     0.5367     0.9883         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.809      0.752      0.729      0.595      0.824      0.772      0.739       0.57\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     70/250      16.3G     0.5568     0.7845     0.5459     0.9931         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.784      0.594       0.67      0.525      0.786      0.595      0.669      0.495\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     71/250      16.2G     0.5371     0.6973     0.4974     0.9842         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.717      0.724      0.746      0.606      0.709      0.716      0.734      0.576\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     72/250      16.2G     0.5476     0.7663     0.5164     0.9685         37        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.731      0.759      0.757      0.627      0.724      0.748      0.753      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     73/250        16G      0.551     0.7708     0.5355     0.9867         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.824      0.673      0.768      0.639      0.821      0.671      0.766      0.601\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     74/250      16.2G     0.5316     0.7109     0.4894     0.9734         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.801      0.637      0.741      0.609      0.838        0.6      0.724       0.55\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     75/250      16.1G      0.553     0.7699     0.5247     0.9812         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.838      0.677      0.784      0.645      0.811      0.701      0.784      0.594\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     76/250      16.2G     0.5345     0.7552      0.512      0.972         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.699      0.704      0.758      0.609      0.715       0.72      0.761      0.581\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     77/250        16G     0.5296     0.7429     0.4978     0.9625         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.753      0.687      0.761      0.603      0.741      0.675      0.748      0.575\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     78/250      16.2G     0.5632     0.7569     0.5409     0.9916         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.697      0.611      0.679      0.518      0.703      0.611       0.67      0.477\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     79/250      16.1G     0.5297     0.7488     0.5399     0.9589         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130        0.7      0.552      0.584      0.444      0.702      0.554      0.587      0.417\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     80/250      16.1G     0.5149     0.7154     0.4814     0.9538         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.753      0.669      0.703      0.575       0.75      0.668      0.708      0.536\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     81/250        16G     0.5185     0.6923     0.5049     0.9675         37        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.74      0.698      0.719      0.574      0.762      0.717      0.734      0.551\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     82/250      16.2G     0.5259     0.7313      0.513     0.9692         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.789      0.652      0.698      0.553      0.783      0.651      0.704      0.484\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     83/250      16.3G      0.518     0.7143      0.472     0.9424         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.82      0.637      0.734      0.598      0.811      0.637      0.736      0.565\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     84/250      16.1G     0.5194     0.7494     0.5031     0.9694         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.755      0.709      0.764      0.624      0.804      0.695      0.777      0.598\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     85/250        16G     0.5048     0.7133     0.4622     0.9407         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.776        0.7      0.761      0.614      0.794      0.713      0.775      0.592\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     86/250      16.3G     0.5218     0.7634     0.5345     0.9726         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.823      0.701      0.742      0.613      0.851      0.698      0.745      0.574\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     87/250      16.2G     0.4898     0.6973     0.4673     0.9549         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.82      0.602      0.716      0.584      0.797      0.609      0.716      0.538\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     88/250      16.1G      0.523     0.6969     0.5101     0.9883         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.779      0.732      0.788      0.607      0.781      0.738      0.799      0.612\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     89/250        16G     0.5592     0.7433     0.5208     0.9864         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.824       0.67       0.74      0.578      0.819      0.669      0.747      0.568\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     90/250      16.1G     0.4989     0.6837     0.4558     0.9586         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.787      0.639      0.726      0.598      0.875      0.689      0.768      0.574\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     91/250      16.2G      0.486     0.6831     0.4353     0.9582         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.86      0.653      0.745      0.608      0.875      0.664      0.763      0.582\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     92/250      16.2G     0.4855     0.6778     0.4378      0.956         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.835      0.666      0.776      0.641      0.842      0.672      0.785      0.608\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     93/250      16.1G     0.5006     0.6985     0.4745      0.965         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.752      0.737       0.74      0.586      0.758      0.743      0.752      0.567\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     94/250      16.2G      0.521     0.7122     0.4954     0.9841         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.703        0.8      0.729      0.601      0.709      0.806       0.74      0.564\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     95/250      16.3G     0.5176     0.7093     0.4829     0.9712         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.714      0.692      0.737      0.594      0.707      0.685      0.739      0.557\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     96/250      16.2G     0.4846     0.6855     0.4539     0.9452         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.663      0.704      0.717       0.57      0.673      0.712      0.731      0.528\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     97/250        16G     0.4925     0.7001     0.4656     0.9441         44        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.702      0.698      0.727      0.581      0.714      0.709      0.739      0.564\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     98/250      16.1G     0.4915     0.7155     0.4663      0.949         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.823      0.633      0.759      0.598      0.845      0.649       0.79      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     99/250      16.1G     0.4771      0.701     0.4524     0.9539         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.822      0.649      0.741      0.589      0.828      0.658      0.753      0.572\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    100/250      16.2G     0.4948     0.7247     0.4611     0.9622         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.836      0.765      0.801      0.659      0.832      0.767      0.799      0.623\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    101/250      16.1G     0.4804     0.6759     0.4575     0.9514         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.839      0.714      0.799      0.657      0.835      0.712      0.798      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    102/250      16.2G     0.4765     0.6681     0.4357     0.9484         39        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.723      0.791        0.8      0.678      0.721       0.79      0.796      0.617\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    103/250      16.2G     0.4778     0.6935     0.4277     0.9374         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.668       0.79      0.748      0.605      0.671      0.795      0.753      0.568\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    104/250        16G     0.4888     0.7035     0.4423     0.9602         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.86      0.602      0.739      0.575      0.856      0.599       0.74      0.578\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    105/250        16G     0.4619     0.6719      0.436     0.9499         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.843       0.59      0.736      0.588      0.811      0.625      0.751      0.568\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    106/250      16.1G     0.4468     0.6684     0.4175     0.9358         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.747        0.7      0.753      0.594      0.751      0.704      0.754      0.566\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    107/250      16.2G     0.4906     0.6731     0.4469     0.9715         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.698      0.732      0.752      0.589      0.703      0.736      0.753      0.563\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    108/250      16.3G     0.4695     0.6617     0.4493     0.9518         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.752       0.76      0.763      0.609      0.756      0.764      0.773      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    109/250        16G     0.4679     0.6523     0.4123     0.9429         47        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.859      0.692      0.793      0.649      0.849      0.682      0.793      0.605\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    110/250      16.2G     0.4444     0.6393     0.3989     0.9193         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.823      0.681      0.786      0.624      0.832      0.684      0.793      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    111/250      16.2G     0.4498     0.6606     0.4104     0.9296         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.832      0.794      0.836      0.696      0.848      0.808      0.859      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    112/250      16.2G     0.4563     0.6426     0.4366      0.937         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.84      0.694      0.808      0.675      0.847      0.698      0.812      0.624\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    113/250        16G      0.468     0.6669      0.456     0.9408         35        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.664      0.837      0.818      0.665      0.666      0.838      0.819      0.632\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    114/250      16.2G     0.4671     0.6624     0.4405     0.9345         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.835      0.647      0.737      0.596      0.629       0.76      0.726      0.568\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    115/250      16.2G       0.46     0.6504     0.4127     0.9324         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.795      0.753      0.778      0.633      0.789      0.754      0.769        0.6\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    116/250      16.2G     0.4753     0.6814     0.4205     0.9468         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.797      0.769      0.823      0.673       0.81      0.786      0.825      0.639\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    117/250      15.9G     0.4364     0.6495     0.4073     0.9279         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.786      0.707       0.77       0.63      0.795      0.715      0.765      0.606\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    118/250      16.2G     0.4661     0.6813     0.4459     0.9382         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.75      0.667      0.731      0.586      0.762       0.68       0.74      0.581\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    119/250        16G     0.4521     0.6538     0.4868     0.9437         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.73      0.679      0.749      0.612      0.766      0.711       0.77      0.588\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    120/250      16.2G     0.4545     0.6273     0.4099     0.9379         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.83      0.681      0.783      0.644      0.817      0.669      0.784      0.609\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    121/250        16G     0.4285     0.6161     0.4119     0.9126         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.805      0.771      0.812      0.672      0.792       0.79      0.816      0.613\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    122/250      16.3G     0.4353     0.6427     0.4237     0.9348         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.887      0.614      0.719      0.547      0.887      0.614      0.722      0.515\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    123/250      16.3G     0.4094     0.5922     0.3542     0.9166         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.851      0.765      0.828      0.675      0.847      0.773      0.833      0.613\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    124/250      16.1G     0.4157     0.6018     0.3696     0.9064         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.732      0.709      0.764      0.621      0.749      0.722      0.781       0.59\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    125/250      16.1G     0.4374     0.6234     0.3785     0.9136         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.838      0.753      0.781      0.668      0.839      0.756      0.795      0.607\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    126/250        16G     0.4414     0.6769     0.4332     0.9273         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130        0.8      0.632      0.678      0.562      0.792      0.633      0.675      0.508\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    127/250      16.2G     0.4457     0.6478     0.3984     0.9209         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.808      0.717      0.756      0.644      0.817      0.725       0.76      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    128/250      16.3G     0.4309     0.6397      0.387     0.9235         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.793      0.735      0.793      0.661      0.795      0.738      0.803      0.628\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    129/250        16G     0.4442     0.6529     0.4252     0.9205         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.82      0.726      0.807      0.654      0.831        0.7      0.802      0.618\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    130/250      16.2G     0.4646     0.6354     0.4223     0.9474         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.774      0.717      0.798      0.646      0.778      0.727      0.807      0.621\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    131/250      16.1G     0.4424     0.6546     0.3944     0.9363         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.79      0.772      0.825      0.671      0.807      0.788      0.845      0.645\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    132/250      16.2G      0.414      0.615     0.3751     0.9002         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.704      0.763      0.811      0.679      0.721      0.781      0.823      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    133/250        16G     0.4063     0.5798     0.3445     0.9147         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.764      0.796      0.833      0.687      0.772      0.804      0.839      0.654\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    134/250      16.2G     0.4187     0.6035     0.3789     0.9222         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.826      0.697      0.815      0.667      0.834      0.703      0.825      0.638\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    135/250      16.1G     0.4263     0.5875     0.3681     0.9242         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.853      0.637      0.774      0.632      0.671       0.77      0.785      0.602\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    136/250      16.1G     0.4134     0.6048     0.3776     0.9114         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.772      0.672       0.73      0.591       0.77      0.683      0.756      0.578\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    137/250        16G     0.4029     0.6012     0.3541     0.9133         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.65      0.699      0.718      0.583      0.656      0.705      0.733      0.562\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    138/250      16.2G     0.4019      0.572     0.3522     0.9034         39        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.696      0.782      0.804      0.654      0.702      0.802      0.825      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    139/250      16.3G     0.4054     0.5752     0.3491     0.8963         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.834      0.749      0.803      0.667      0.848      0.769      0.831      0.627\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    140/250      16.1G      0.404     0.6116     0.3694     0.9115         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.816      0.673      0.809      0.646      0.823      0.679      0.818      0.616\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    141/250        16G     0.4012     0.6017      0.362     0.9027         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.678      0.757      0.773      0.627      0.699      0.784      0.797      0.598\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    142/250      16.1G     0.4241     0.6127     0.4072     0.9165         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.731      0.679      0.687      0.539      0.708      0.651      0.672       0.51\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    143/250      16.2G     0.4151     0.6177     0.4243       0.92         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.757      0.773      0.777      0.624       0.77      0.795      0.809      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    144/250      16.2G     0.4133     0.6045     0.3948     0.9164         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.813      0.736      0.804      0.667      0.827      0.756      0.835      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    145/250        16G     0.3859     0.5739     0.3555     0.8974         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.755      0.712      0.785      0.609      0.733      0.808      0.819      0.606\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    146/250      16.3G     0.4247     0.6116     0.3784     0.9112         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.859       0.71      0.795      0.647      0.867      0.716      0.821      0.614\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    147/250      16.1G     0.4111     0.6136      0.376     0.9177         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.807      0.548      0.641      0.508        0.8      0.542      0.641      0.476\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    148/250      16.1G     0.3904     0.5812     0.3533     0.9032         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.766      0.722      0.772      0.631      0.785      0.745      0.786      0.601\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    149/250        16G      0.393     0.5802     0.3518     0.9071         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.878      0.699      0.777      0.651       0.88      0.701      0.784      0.618\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    150/250      16.2G     0.3751     0.5658     0.3373     0.8927         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.874       0.72      0.799      0.661      0.881      0.731      0.803      0.638\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    151/250      16.1G     0.4029     0.5906     0.3671     0.9098         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.848      0.698      0.768      0.641      0.851        0.7      0.782      0.617\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    152/250      16.2G     0.3803     0.6008     0.3743     0.9077         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.829      0.702       0.74      0.604      0.822      0.699      0.746      0.569\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    153/250      16.2G      0.379     0.5733     0.3499     0.9148          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.849      0.665      0.784      0.646      0.854      0.669      0.797      0.627\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    154/250      16.2G     0.3684     0.5874     0.3378     0.9046         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.828      0.704      0.747      0.613       0.83       0.71      0.751      0.588\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    155/250      16.2G     0.3828     0.5656     0.3501     0.9011         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.753      0.704      0.758      0.606       0.76       0.71       0.77      0.607\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    156/250      16.2G     0.3931     0.5659     0.3494      0.921         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.697      0.731      0.756      0.615      0.688      0.723      0.749      0.575\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    157/250      15.9G     0.4006     0.5803     0.3637     0.9076         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.79      0.644      0.723      0.599      0.772      0.631      0.708      0.544\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    158/250      16.2G     0.3781     0.5699     0.3626     0.9029         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.90it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.727      0.706      0.753      0.605      0.726      0.708       0.75      0.585\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    159/250      16.2G      0.362     0.5588     0.3343     0.8949         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.772      0.788      0.795       0.68      0.781      0.801       0.81       0.63\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    160/250      16.3G     0.3688     0.5534     0.3367     0.9013         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.742       0.77      0.798      0.657      0.755      0.783      0.819      0.637\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    161/250      15.9G     0.3765     0.5899     0.3423      0.907         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.77      0.751        0.8      0.665       0.78       0.76      0.817      0.653\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    162/250      16.3G     0.3722     0.5287     0.3225     0.9011         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.844      0.718       0.78       0.65      0.853       0.73      0.794      0.645\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    163/250      16.2G     0.3599     0.5261     0.3325     0.8991         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.861      0.717      0.791      0.652      0.862      0.727      0.799      0.639\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    164/250      16.2G     0.3573      0.535     0.3074     0.8968         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.677      0.785       0.78      0.645      0.684      0.793      0.787      0.629\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    165/250      16.2G     0.3769     0.5425     0.3324     0.9009         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.818      0.729      0.789      0.651      0.822      0.733      0.803      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    166/250      16.2G     0.3803     0.5741     0.3488     0.9099         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.82      0.773      0.816      0.668      0.811      0.763      0.817      0.619\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    167/250      16.2G     0.3723     0.5567     0.3421     0.8921         33        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.77      0.816      0.808      0.658      0.762      0.805      0.803      0.612\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    168/250      16.2G     0.3717     0.5696     0.3206     0.8963         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.795      0.694      0.758      0.625       0.81      0.672      0.761      0.587\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    169/250      15.9G     0.3591     0.5512     0.3116     0.9004         43        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.807      0.733       0.79      0.664      0.807      0.718       0.79      0.623\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    170/250      16.2G     0.3573     0.5335     0.3238     0.8967         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.853      0.729      0.804      0.675       0.85      0.729      0.805      0.645\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    171/250      16.1G      0.354     0.5328     0.3209     0.8898         42        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.716      0.672      0.748      0.575      0.709      0.667      0.738      0.541\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    172/250      16.2G     0.3642     0.5469     0.3333     0.8999         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.819        0.7      0.789      0.646      0.828      0.711      0.799      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    173/250      16.1G     0.3535     0.5314     0.3037     0.8993         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.859       0.76      0.816      0.663      0.872       0.77      0.829      0.635\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    174/250      16.1G     0.3583     0.5523     0.3386     0.8943         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.871      0.607      0.736      0.583      0.832      0.603      0.723      0.561\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    175/250      16.2G     0.3651     0.5635     0.3167     0.9089         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.83      0.698      0.785      0.638      0.843      0.693      0.786      0.617\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    176/250      16.2G     0.3455     0.5406     0.3136     0.8915         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.796      0.799      0.819      0.684      0.791      0.796      0.814      0.643\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    177/250      16.1G     0.3498     0.5234     0.3018     0.8858         41        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.85      0.774      0.837      0.689      0.852      0.776      0.845      0.663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    178/250      16.3G     0.3612     0.5586     0.3161     0.8979         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.818      0.747      0.801      0.679      0.825      0.753      0.817      0.648\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    179/250      16.1G      0.352     0.5433     0.3046     0.9004         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.85      0.785      0.836      0.693      0.863      0.796      0.851      0.675\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    180/250      16.2G      0.345     0.5116      0.299     0.8961         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.79      0.814      0.834       0.69      0.798      0.823      0.853      0.667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    181/250      16.1G     0.3464      0.531     0.2958     0.8958         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.809      0.739      0.762      0.624      0.823      0.751      0.778      0.603\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    182/250      16.2G     0.3467     0.5205     0.2877     0.8924         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.848      0.744      0.785      0.647      0.864      0.759      0.807      0.609\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    183/250      16.2G      0.341     0.5105     0.2908     0.8859         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.811      0.745      0.783      0.644      0.822      0.755      0.799      0.617\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    184/250      16.1G      0.335     0.5186     0.2852     0.8743         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.854      0.748      0.807      0.671      0.866      0.758      0.824      0.629\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    185/250        16G     0.3384     0.4999     0.2774      0.883         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.834      0.751      0.816      0.678      0.841      0.757      0.825      0.636\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    186/250      16.1G     0.3318     0.5164     0.2976     0.8917         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.829       0.74      0.817      0.665      0.837      0.746      0.824      0.636\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    187/250      16.2G     0.3295     0.4806     0.2748     0.8788         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.847      0.753      0.816      0.668      0.858       0.76      0.829      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    188/250      16.2G      0.337     0.4883     0.2968     0.8918         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.893      0.666      0.764      0.599      0.903      0.674      0.771       0.56\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    189/250        16G     0.3394     0.5288     0.2941     0.8916         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.746      0.767      0.802      0.651      0.752      0.773       0.81      0.608\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    190/250      16.2G     0.3213     0.4955     0.2871     0.8729         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.801      0.744      0.802      0.648       0.81      0.751       0.81       0.62\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    191/250      16.2G     0.3515     0.5412     0.2964     0.8888         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.81       0.78       0.83      0.677      0.819      0.787      0.833      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    192/250      16.1G     0.3325      0.514     0.2789      0.878         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.786      0.801      0.825      0.684      0.871       0.75      0.828      0.654\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    193/250      16.1G     0.3248     0.5014     0.2816     0.8911         35        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.818      0.802      0.812      0.671      0.832      0.814      0.817      0.637\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    194/250      16.3G     0.3218     0.4969     0.2792     0.8811         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.794      0.819      0.803      0.667      0.797      0.824      0.805      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    195/250      16.1G     0.3354     0.5254     0.2915     0.8905         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.737      0.774      0.817      0.673      0.739      0.779      0.814       0.63\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    196/250      16.1G       0.33     0.5134     0.2959     0.8745         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.779      0.754      0.808      0.662      0.784      0.761       0.81      0.629\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    197/250        16G     0.3305     0.5372      0.307     0.8892         36        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.99it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.837      0.757      0.811      0.664      0.836       0.77      0.819      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    198/250      16.2G     0.3189     0.5045     0.2881     0.8838         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.802      0.767      0.799       0.66      0.821      0.784      0.819      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    199/250      16.1G     0.3303     0.5222     0.2869     0.8848         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.822      0.787      0.818      0.665      0.841      0.802      0.833      0.637\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    200/250      16.3G     0.3225     0.5114     0.2859     0.8782         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.86      0.748      0.828      0.676      0.878      0.777      0.843      0.648\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    201/250      16.1G     0.3153      0.498     0.2997     0.8742         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.796      0.782      0.831      0.687      0.813      0.804      0.845      0.649\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    202/250      16.2G     0.3134     0.4823      0.265     0.8776         38        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.844      0.705      0.807      0.679      0.848      0.702      0.813      0.635\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    203/250        16G     0.3097     0.4847      0.263     0.8736         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.812      0.757      0.821      0.692      0.813      0.755      0.828       0.64\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    204/250      16.1G     0.3157     0.4815     0.2692     0.8762         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.876      0.716      0.811      0.678      0.884      0.722      0.823      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    205/250        16G     0.3092     0.4715     0.2827     0.8763         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.858      0.734       0.79      0.647      0.863      0.738      0.799      0.621\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    206/250      16.2G     0.3022     0.5156     0.2624     0.8693         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.856      0.725        0.8      0.662       0.86      0.729      0.813      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    207/250      16.2G     0.3061     0.4813       0.25     0.8748         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130        0.8      0.775      0.813      0.665       0.82      0.781      0.822      0.655\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    208/250      16.3G     0.3025     0.4774     0.2517     0.8669         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.854      0.731      0.799      0.665      0.854       0.74      0.811      0.635\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    209/250        16G     0.2949     0.4785     0.2564      0.869         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.814      0.756      0.814      0.677      0.827      0.767      0.824      0.654\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    210/250      16.2G     0.3144     0.4795     0.2607     0.8765         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.814      0.794      0.833      0.691      0.827      0.808      0.847      0.657\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    211/250      16.2G     0.3064     0.4899     0.2602     0.8783         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.86      0.778      0.836      0.696      0.859      0.786      0.847      0.669\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    212/250      16.1G     0.2924     0.4766     0.2615      0.862         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.804      0.761      0.827      0.688      0.812      0.769      0.838      0.649\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    213/250        16G     0.2985     0.4749     0.2484     0.8706         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.898      0.701      0.813      0.679      0.907       0.71      0.825      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    214/250      16.1G     0.2986     0.4835     0.2484     0.8746         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.833      0.744      0.827      0.691      0.843      0.752      0.839      0.662\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    215/250      16.3G     0.2817     0.4703     0.2434     0.8549         38        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.882      0.728      0.814      0.681      0.892      0.736      0.825      0.648\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    216/250      16.1G     0.2964     0.4723     0.2551     0.8802         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.838      0.746      0.813      0.677      0.854      0.762       0.83      0.638\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    217/250      15.9G     0.3004     0.4774     0.2678     0.8791         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.882       0.75      0.826      0.696        0.9      0.763      0.844      0.646\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    218/250      16.1G      0.288     0.4655     0.2467     0.8772         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.839      0.781      0.812      0.679      0.861      0.799      0.836      0.637\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    219/250      16.1G     0.2625     0.4327     0.2335     0.8458         35        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.859       0.77      0.817      0.681      0.859       0.77       0.83       0.66\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    220/250      16.1G     0.2945     0.4722      0.258     0.8587         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.839      0.769      0.829      0.693      0.841      0.769      0.826      0.659\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    221/250      16.1G     0.2832     0.4553      0.234     0.8678         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.793      0.788      0.826      0.697      0.796      0.788      0.832      0.664\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    222/250      16.2G     0.2834     0.4585     0.2399     0.8698         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.804      0.795      0.824      0.702      0.827      0.792      0.839      0.669\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    223/250      16.3G     0.2937      0.477      0.243     0.8694         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.848      0.785      0.828      0.706      0.862      0.797      0.846      0.671\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    224/250      16.1G     0.2905     0.4688     0.2516     0.8747         39        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.858      0.787      0.824      0.702      0.874      0.802      0.842      0.675\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    225/250      15.9G     0.2889      0.464     0.2495     0.8701         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.848      0.788      0.826        0.7      0.862        0.8      0.846      0.663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    226/250      16.1G      0.293     0.4637     0.2507     0.8779         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130        0.8      0.751      0.807       0.69      0.767      0.817      0.827      0.658\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    227/250      16.2G     0.2831     0.4438     0.2362     0.8756         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.831      0.798      0.817      0.698      0.851      0.814      0.838      0.656\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    228/250      16.3G      0.283     0.4594     0.2257     0.8715         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.825      0.795      0.825      0.701      0.834      0.805      0.836      0.648\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    229/250        16G     0.2733     0.4391     0.2259     0.8554         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.823      0.719      0.811      0.683      0.839      0.729      0.825      0.645\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    230/250      16.2G     0.2819     0.4696     0.2543      0.872         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.824      0.726      0.809      0.694      0.815      0.755      0.825      0.648\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    231/250      16.2G     0.2702     0.4459     0.2334     0.8604         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.804      0.743      0.818      0.696        0.8      0.762      0.829      0.653\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    232/250      16.2G     0.2672     0.4378     0.2408     0.8664         33        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.769      0.749      0.816      0.695      0.781       0.76      0.826       0.65\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    233/250        16G     0.2872     0.4772     0.2554     0.8653         35        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.814      0.756      0.821      0.694      0.823      0.768      0.828      0.647\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    234/250      16.3G     0.2758     0.4989     0.2408     0.8668         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.787      0.814      0.824      0.699      0.792      0.822      0.832      0.658\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    235/250      16.2G     0.2843     0.4689     0.2368     0.8582         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.837      0.792      0.833      0.706      0.843        0.8      0.843      0.661\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    236/250      16.1G     0.2865     0.4695     0.2382     0.8727         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.845      0.792      0.826       0.69      0.852      0.798      0.836      0.658\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    237/250      16.1G     0.2628     0.4373     0.2203     0.8548         33        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.84      0.791      0.825      0.697      0.847      0.797      0.839      0.659\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    238/250      16.2G     0.2649     0.4491     0.2282     0.8565         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.852      0.785      0.826      0.703      0.859      0.792      0.841      0.662\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    239/250      16.2G     0.2716     0.4597     0.2172     0.8645         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.863      0.785      0.838      0.711      0.863      0.799      0.852      0.668\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    240/250      16.2G     0.2615     0.4512     0.2172     0.8617         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.886      0.788      0.837      0.715      0.879      0.808      0.851      0.663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Closing dataloader mosaic\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    241/250      15.9G     0.2144     0.3982     0.1918      0.838         11        800: 100%|██████████| 21/21 [00:20<00:00,  1.04it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.894      0.796      0.836      0.716       0.91      0.807      0.852      0.663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    242/250      16.1G     0.2163     0.3944     0.1804     0.8453          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.895      0.784      0.835      0.713      0.911      0.795      0.851      0.662\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    243/250        16G     0.1973     0.3578     0.1721     0.8303          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.891      0.772      0.833      0.713      0.907      0.783       0.85      0.664\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    244/250      15.9G     0.2155     0.3773     0.1714      0.841          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.888      0.769      0.836      0.715      0.904       0.78      0.852      0.665\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    245/250      15.9G     0.2052     0.3807      0.174     0.8176         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130       0.88      0.771      0.837      0.714      0.896      0.782      0.853      0.662\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    246/250        16G     0.2154     0.4024     0.1823     0.8515          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.861      0.792      0.837      0.719      0.876      0.803      0.854      0.663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    247/250      15.9G     0.1982     0.3644     0.1778     0.8178         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.856      0.791      0.837      0.719      0.871      0.802      0.854      0.664\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    248/250        16G     0.1986     0.3522     0.1662     0.8228         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.862      0.794      0.836       0.72      0.877      0.805      0.853      0.667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    249/250      15.8G      0.196     0.3555     0.1599     0.8268          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.861      0.791      0.836      0.716      0.875      0.803      0.852      0.668\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    250/250        16G     0.2024     0.3897     0.1763     0.8347         35        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.865      0.799      0.842      0.719      0.872      0.805      0.853      0.662\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "250 epochs completed in 1.534 hours.\n",
            "Optimizer stripped from /content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16/weights/last.pt, 92.4MB\n",
            "Optimizer stripped from /content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16/weights/best.pt, 92.4MB\n",
            "\n",
            "Validating /content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16/weights/best.pt...\n",
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "YOLOv8l-seg summary (fused): 125 layers, 45,922,682 parameters, 0 gradients, 220.2 GFLOPs\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95):   0%|          | 0/2 [00:00<?, ?it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING ⚠️ Model does not support 'augment=True', reverting to single-scale prediction.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95):  50%|█████     | 1/2 [00:00<00:00,  1.35it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING ⚠️ Model does not support 'augment=True', reverting to single-scale prediction.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40        130      0.868      0.799      0.842       0.72      0.876      0.805      0.853      0.667\n",
            "             blue_bird          2          2          1      0.951      0.995      0.995          1       0.95      0.995      0.895\n",
            "           red_griffon          1          2          1      0.984      0.995      0.899          1      0.983      0.995      0.754\n",
            "            red_flower          1          2      0.773        0.5      0.531      0.319      0.773        0.5      0.531      0.531\n",
            "           blue_flower          6          9      0.837      0.778      0.845      0.639      0.838      0.778      0.845      0.542\n",
            "            red_circle          3          5      0.835        0.6      0.672       0.59      0.835        0.6      0.672      0.455\n",
            "            red_spiral          8         45      0.824      0.834       0.86       0.63      0.846      0.854      0.904      0.623\n",
            "   curved_green_stripe         14         14      0.875      0.857      0.942      0.771      0.875      0.857      0.942      0.759\n",
            "       thin_red_stripe         17         22      0.792      0.636      0.776      0.682       0.85      0.682      0.854      0.691\n",
            "      thick_red_stripe          4          4      0.909          1      0.995      0.961      0.909          1      0.995      0.834\n",
            "    thin_floral_stripe          4          7      0.783          1      0.889      0.847      0.783          1      0.889      0.769\n",
            "   thick_floral_stripe          5         18      0.921      0.649      0.758      0.589      0.921      0.648      0.758      0.481\n",
            "Speed: 0.3ms preprocess, 17.7ms inference, 0.0ms loss, 1.5ms postprocess per image\n",
            "Results saved to \u001b[1m/content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ultralytics.utils.metrics.SegmentMetrics object with attributes:\n",
              "\n",
              "ap_class_index: array([ 2,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13])\n",
              "box: ultralytics.utils.metrics.Metric object\n",
              "confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x7f1078720d10>\n",
              "curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)', 'Precision-Recall(M)', 'F1-Confidence(M)', 'Precision-Confidence(M)', 'Recall-Confidence(M)']\n",
              "curves_results: [[array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,    0.000572,    0.000286,           0],\n",
              "       ...,\n",
              "       [          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,       0.875,       0.875,           0],\n",
              "       [          1,           1,           1, ...,    0.002677,   0.0013385,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.33333,     0.33333,     0.41674, ...,           0,           0,           0],\n",
              "       [       0.25,        0.25,     0.34107, ...,           0,           0,           0],\n",
              "       [    0.22222,     0.22222,     0.23025, ...,           0,           0,           0],\n",
              "       ...,\n",
              "       [    0.53333,     0.53333,     0.62341, ...,           0,           0,           0],\n",
              "       [    0.63636,     0.63636,     0.76114, ...,           0,           0,           0],\n",
              "       [    0.49057,     0.49057,     0.58979, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[        0.2,         0.2,     0.26322, ...,           1,           1,           1],\n",
              "       [    0.14286,     0.14286,     0.20559, ...,           1,           1,           1],\n",
              "       [    0.14286,     0.14286,     0.14956, ...,           1,           1,           1],\n",
              "       ...,\n",
              "       [    0.36364,     0.36364,     0.45287, ...,           1,           1,           1],\n",
              "       [    0.46667,     0.46667,     0.61439, ...,           1,           1,           1],\n",
              "       [    0.37143,     0.37143,      0.4984, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [        0.5,         0.5,         0.5, ...,           0,           0,           0],\n",
              "       ...,\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.72222,     0.72222,     0.72222, ...,           0,           0,           0]]), 'Confidence', 'Recall'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,    0.000572,    0.000286,           0],\n",
              "       ...,\n",
              "       [          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,       0.875,       0.875,           0],\n",
              "       [          1,           1,           1, ...,    0.002677,   0.0013385,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.33333,     0.33333,     0.41674, ...,           0,           0,           0],\n",
              "       [       0.25,        0.25,     0.34107, ...,           0,           0,           0],\n",
              "       [    0.22222,     0.22222,     0.23025, ...,           0,           0,           0],\n",
              "       ...,\n",
              "       [    0.53333,     0.53333,     0.62341, ...,           0,           0,           0],\n",
              "       [    0.63636,     0.63636,     0.76114, ...,           0,           0,           0],\n",
              "       [    0.49057,     0.49057,     0.58979, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[        0.2,         0.2,     0.26322, ...,           1,           1,           1],\n",
              "       [    0.14286,     0.14286,     0.20559, ...,           1,           1,           1],\n",
              "       [    0.14286,     0.14286,     0.14956, ...,           1,           1,           1],\n",
              "       ...,\n",
              "       [    0.36364,     0.36364,     0.45287, ...,           1,           1,           1],\n",
              "       [    0.46667,     0.46667,     0.61439, ...,           1,           1,           1],\n",
              "       [    0.37143,     0.37143,      0.4984, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [        0.5,         0.5,         0.5, ...,           0,           0,           0],\n",
              "       ...,\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.72222,     0.72222,     0.72222, ...,           0,           0,           0]]), 'Confidence', 'Recall']]\n",
              "fitness: np.float64(1.4177096550340642)\n",
              "keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)', 'metrics/precision(M)', 'metrics/recall(M)', 'metrics/mAP50(M)', 'metrics/mAP50-95(M)']\n",
              "maps: array([      1.387,       1.387,      1.8905,       1.387,      1.6527,     0.85029,      1.1817,      1.0447,      1.2523,      1.5299,       1.373,       1.795,      1.6164,      1.0704])\n",
              "names: {0: 'background', 1: 'fragment_surface', 2: 'blue_bird', 3: 'yellow_bird', 4: 'red_griffon', 5: 'red_flower', 6: 'blue_flower', 7: 'red_circle', 8: 'red_spiral', 9: 'curved_green_stripe', 10: 'thin_red_stripe', 11: 'thick_red_stripe', 12: 'thin_floral_stripe', 13: 'thick_floral_stripe'}\n",
              "nt_per_class: array([ 0,  0,  2,  0,  2,  2,  9,  5, 45, 14, 22,  4,  7, 18])\n",
              "nt_per_image: array([ 0,  0,  2,  0,  1,  1,  6,  3,  8, 14, 17,  4,  4,  5])\n",
              "results_dict: {'metrics/precision(B)': np.float64(0.8681240793422045), 'metrics/recall(B)': np.float64(0.7989992946832962), 'metrics/mAP50(B)': np.float64(0.8415805630276157), 'metrics/mAP50-95(B)': np.float64(0.7201500531686704), 'metrics/precision(M)': np.float64(0.8755151396128515), 'metrics/recall(M)': np.float64(0.8046980249208364), 'metrics/mAP50(M)': np.float64(0.8527533296773526), 'metrics/mAP50-95(M)': np.float64(0.6668235754575155), 'fitness': np.float64(1.4177096550340642)}\n",
              "save_dir: PosixPath('/content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16')\n",
              "seg: ultralytics.utils.metrics.Metric object\n",
              "speed: {'preprocess': 0.25680455000838265, 'inference': 17.657204575016294, 'loss': 0.0004052499889439787, 'postprocess': 1.5282967000075587}\n",
              "stats: {'tp': [], 'conf': [], 'pred_cls': [], 'target_cls': [], 'target_img': [], 'tp_m': []}\n",
              "task: 'segment'"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qJ2QEpNAJXgD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def evaluate_yolo_box_seg(model_path, data_yaml):\n",
        "\n",
        "    model = YOLO(model_path)\n",
        "    results = model.val(data=data_yaml, split='test', verbose=False)\n",
        "\n",
        "    metrics = {}\n",
        "\n",
        "    # Bounding box metrics\n",
        "    if results.box is not None:\n",
        "        metrics[\"box_precision\"] = results.box.p.mean().item()\n",
        "        metrics[\"box_recall\"] = results.box.r.mean().item()\n",
        "        metrics[\"box_map50\"] = results.box.map50.item()\n",
        "\n",
        "    # Segmentation metrics\n",
        "    if results.seg is not None:\n",
        "        metrics[\"seg_precision\"] = results.seg.p.mean().item()\n",
        "        metrics[\"seg_recall\"] = results.seg.r.mean().item()\n",
        "        metrics[\"seg_map50\"] = results.seg.map50.item()\n",
        "\n",
        "    return metrics"
      ],
      "metadata": {
        "id": "1M_xzeBqdxj1"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "evaluate_yolo_box_seg(\n",
        "\"/content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16/weights/best.pt\",\n",
        "data_path+\"/data.yaml\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UmEXegghccsi",
        "outputId": "743e7bfc-2b78-4f64-f444-9d32f569f9f3"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "YOLOv8l-seg summary (fused): 125 layers, 45,922,682 parameters, 0 gradients, 220.2 GFLOPs\n",
            "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.4±0.1 ms, read: 0.2±0.1 MB/s, size: 227.1 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/14c/test/labels... 39 images, 1 backgrounds, 0 corrupt: 100%|██████████| 39/39 [00:11<00:00,  3.48it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/14c/test/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:02<00:00,  1.11it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         39         84      0.787      0.866      0.844      0.699      0.896      0.811      0.903      0.711\n",
            "Speed: 6.4ms preprocess, 30.8ms inference, 0.0ms loss, 2.4ms postprocess per image\n",
            "Results saved to \u001b[1mruns/segment/val2\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'box_precision': 0.7865616846032591,\n",
              " 'box_recall': 0.8658896650404496,\n",
              " 'box_map50': 0.8438613385936378,\n",
              " 'seg_precision': 0.8961427609220894,\n",
              " 'seg_recall': 0.811297847642913,\n",
              " 'seg_map50': 0.9025302776148787}"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import cv2\n",
        "\n",
        "def get_yolo_masks(weights_path, image_path, conf_threshold=0.5):\n",
        "    model = YOLO(weights_path)\n",
        "    results = model(image_path, conf=conf_threshold, verbose=False)\n",
        "    masks = []\n",
        "    for result in results:\n",
        "        if result.masks is None:\n",
        "            continue\n",
        "        for m in result.masks.data.cpu().numpy():\n",
        "            binary_mask = (m > 0.5).astype(np.uint8) * 255\n",
        "            masks.append(binary_mask)\n",
        "    return masks\n",
        "\n",
        "def plot_masks(masks):\n",
        "\n",
        "    if not masks:\n",
        "        print(\"No masks found.\")\n",
        "        return\n",
        "\n",
        "    height, width = masks[0].shape\n",
        "    combined_mask = np.zeros((height, width), dtype=np.uint8)\n",
        "\n",
        "    for mask in masks:\n",
        "        combined_mask = np.logical_or(combined_mask, mask > 0).astype(np.uint8)\n",
        "\n",
        "    mask_rgb = np.zeros((height, width, 3), dtype=np.uint8)\n",
        "\n",
        "    purple = [100, 0, 100]\n",
        "    yellow = [200, 200, 0]\n",
        "\n",
        "    mask_rgb[:, :] = purple\n",
        "    mask_rgb[combined_mask == 1] = yellow\n",
        "\n",
        "    plt.figure(figsize=(10, 10))\n",
        "    plt.imshow(mask_rgb)\n",
        "    plt.axis('off')\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "lTk_D00UJZNT"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "masks = get_yolo_masks(\n",
        "    weights_path=\"/content/drive/MyDrive/Repair Project/report/results/training/14c/train_250_800_16/weights/best.pt\",\n",
        "    image_path=\"/content/drive/MyDrive/Repair Project/report/data/14c/test/images/RPf_00481.png\"\n",
        "    )\n",
        "\n",
        "plot_masks(masks)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807
        },
        "id": "NV6M8tO7JldU",
        "outputId": "7f1eb355-8be8-467e-b15b-811a1986c998"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Training over Best Found Hyper-parameters\n",
        "from ultralytics import YOLO\n",
        "import torch\n",
        "torch.cuda.empty_cache()\n",
        "\n",
        "model = YOLO(\"yolov8l-seg.pt\")\n",
        "data_path = \"/content/drive/MyDrive/Repair Project/report/data/7c\"\n",
        "result_path = \"/content/drive/MyDrive/Repair Project/report/results/training/7c\"\n",
        "\n",
        "model.train(\n",
        "    data= data_path + \"/data.yaml\",\n",
        "    project=result_path,\n",
        "    imgsz=800,\n",
        "    epochs=250,\n",
        "    batch=16,\n",
        "    name=\"train_250_800_16\",\n",
        "    device=\"cuda\",\n",
        "    augment=True,\n",
        "    cache=False,\n",
        "    save=True,\n",
        "    save_period=100,\n",
        "    lr0 = 0.01,\n",
        "    momentum= 0.937,\n",
        "    weight_decay= 0.0005,\n",
        "    hsv_h= 0.015,\n",
        "    hsv_s= 0.7,\n",
        "    hsv_v= 0.4,\n",
        "    scale= 0.5,\n",
        "    box= 7.5,\n",
        "    verbose=True,\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iTDovu8Fc_Hw",
        "outputId": "f98ce4d1-e850-408c-a15a-36ab3c89fe56"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=True, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/content/drive/MyDrive/Repair Project/report/data/7c/data.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=250, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=800, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8l-seg.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=train_250_800_162, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=/content/drive/MyDrive/Repair Project/report/results/training/7c, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162, save_frames=False, save_json=False, save_period=100, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=segment, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n",
            "Overriding model.yaml nc=80 with nc=7\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1      1856  ultralytics.nn.modules.conv.Conv             [3, 64, 3, 2]                 \n",
            "  1                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
            "  2                  -1  3    279808  ultralytics.nn.modules.block.C2f             [128, 128, 3, True]           \n",
            "  3                  -1  1    295424  ultralytics.nn.modules.conv.Conv             [128, 256, 3, 2]              \n",
            "  4                  -1  6   2101248  ultralytics.nn.modules.block.C2f             [256, 256, 6, True]           \n",
            "  5                  -1  1   1180672  ultralytics.nn.modules.conv.Conv             [256, 512, 3, 2]              \n",
            "  6                  -1  6   8396800  ultralytics.nn.modules.block.C2f             [512, 512, 6, True]           \n",
            "  7                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
            "  8                  -1  3   4461568  ultralytics.nn.modules.block.C2f             [512, 512, 3, True]           \n",
            "  9                  -1  1    656896  ultralytics.nn.modules.block.SPPF            [512, 512, 5]                 \n",
            " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 12                  -1  3   4723712  ultralytics.nn.modules.block.C2f             [1024, 512, 3]                \n",
            " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 15                  -1  3   1247744  ultralytics.nn.modules.block.C2f             [768, 256, 3]                 \n",
            " 16                  -1  1    590336  ultralytics.nn.modules.conv.Conv             [256, 256, 3, 2]              \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 18                  -1  3   4592640  ultralytics.nn.modules.block.C2f             [768, 512, 3]                 \n",
            " 19                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 21                  -1  3   4723712  ultralytics.nn.modules.block.C2f             [1024, 512, 3]                \n",
            " 22        [15, 18, 21]  1   7894405  ultralytics.nn.modules.head.Segment          [7, 32, 256, [256, 512, 512]] \n",
            "YOLOv8l-seg summary: 231 layers, 45,941,445 parameters, 45,941,429 gradients, 220.8 GFLOPs\n",
            "\n",
            "Transferred 651/657 items from pretrained weights\n",
            "Freezing layer 'model.22.dfl.conv.weight'\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.8±0.8 ms, read: 0.3±0.2 MB/s, size: 319.8 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/7c/train/labels... 324 images, 65 backgrounds, 0 corrupt: 100%|██████████| 324/324 [00:48<00:00,  6.62it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/7c/train/labels.cache\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n",
            "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.8±0.3 ms, read: 0.1±0.1 MB/s, size: 109.8 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/7c/val/labels... 40 images, 7 backgrounds, 0 corrupt: 100%|██████████| 40/40 [00:08<00:00,  4.60it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/7c/val/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Plotting labels to /content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162/labels.jpg... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.000909, momentum=0.9) with parameter groups 106 weight(decay=0.0), 117 weight(decay=0.0005), 116 bias(decay=0.0)\n",
            "Image sizes 800 train, 800 val\n",
            "Using 8 dataloader workers\n",
            "Logging results to \u001b[1m/content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162\u001b[0m\n",
            "Starting training for 250 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      1/250      15.6G      1.113      2.045      3.547      1.371         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.06it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.89it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.659      0.339      0.368      0.254      0.735      0.381      0.372      0.232\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      2/250        16G     0.9499      1.242      2.051      1.212         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.07it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.92it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.648      0.322      0.233      0.149      0.632      0.294       0.21      0.129\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      3/250      16.2G      1.129       1.44      1.968      1.317         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.205      0.157     0.0319     0.0175      0.193     0.0943     0.0177    0.00765\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      4/250      16.1G      1.127      1.403       1.83      1.322         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.91it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96     0.0257      0.456     0.0403     0.0162     0.0638      0.205      0.042     0.0211\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      5/250        16G      1.175      1.444      1.696       1.32         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.95it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.085      0.571     0.0752     0.0619     0.0849      0.575     0.0725     0.0507\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      6/250      16.1G      1.094      1.364      1.627      1.283         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.93it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.224      0.221      0.101     0.0593      0.207      0.233     0.0761     0.0429\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      7/250      16.2G      1.129      1.455      1.595      1.337          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.97it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.198      0.535      0.285      0.135      0.206      0.559      0.304      0.137\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      8/250      16.1G      1.114      1.368      1.507      1.279         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.279      0.606      0.407      0.261      0.278      0.614      0.414      0.235\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      9/250      15.9G      1.028      1.299      1.374      1.245          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.768      0.459      0.535      0.339      0.745       0.44      0.516      0.323\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     10/250      16.2G      1.053      1.277      1.377      1.264         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.637      0.383      0.396      0.219      0.327      0.545      0.435      0.217\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     11/250      16.1G     0.9857      1.176      1.322      1.234         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.682      0.428      0.468      0.302      0.702      0.436      0.472      0.316\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     12/250      16.2G      1.015      1.243       1.33      1.228         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.422      0.731      0.543      0.341      0.417      0.713      0.524       0.33\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     13/250        16G      1.025      1.246      1.317      1.265         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.449      0.677      0.537       0.35      0.761      0.416      0.495      0.323\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     14/250      16.2G      0.985      1.264      1.226      1.237         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.769      0.334      0.357      0.231      0.612      0.344      0.363      0.224\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     15/250      16.1G     0.9833      1.208      1.202      1.209         39        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.559      0.471      0.468       0.33      0.579      0.463      0.462      0.302\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     16/250      16.1G     0.9527      1.166      1.198       1.21         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.72      0.354      0.454      0.306      0.747      0.364      0.499      0.322\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     17/250        16G     0.9874      1.128      1.192      1.211         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.674      0.462      0.544      0.378      0.391      0.698      0.606      0.398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     18/250      16.1G     0.9343      1.116      1.145        1.2         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.696      0.449      0.505      0.353      0.699      0.453      0.501      0.337\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     19/250      16.2G     0.8994      1.085      1.086      1.157         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.647      0.362      0.405      0.252      0.703      0.314      0.381      0.226\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     20/250      16.2G     0.9055      1.141      1.091      1.143         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.59      0.593      0.451      0.312      0.589      0.593      0.473      0.281\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     21/250      16.5G      0.954      1.161      1.138      1.223         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96        0.7      0.665      0.648      0.411      0.687      0.624      0.624      0.412\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     22/250      16.1G     0.9131      1.131      1.054      1.191         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.97it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.468      0.659      0.645      0.466      0.495      0.694      0.685       0.46\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     23/250      16.1G     0.8946      1.102      1.044      1.184         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.756      0.556      0.624      0.407      0.767      0.551      0.609      0.349\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     24/250        16G     0.9257      1.133       1.05      1.194         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.78      0.757      0.805      0.604       0.76      0.751      0.789      0.563\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     25/250        16G     0.8547      1.099       1.08      1.139         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.76      0.548      0.609      0.424      0.759      0.566      0.614      0.431\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     26/250      16.1G     0.8537      1.046     0.9871      1.158         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.817       0.48      0.573      0.385      0.805      0.473      0.585      0.389\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     27/250      16.2G     0.8954      1.067      1.038      1.168         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.667      0.579       0.56      0.352      0.679        0.6      0.589      0.365\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     28/250      16.1G     0.9265      1.136      1.246      1.193          2        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.708      0.631      0.651       0.45      0.708      0.631      0.659      0.443\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     29/250        16G     0.8501      1.049      0.972      1.154         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96        0.8      0.568      0.667      0.484      0.817       0.59      0.702      0.501\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     30/250      16.2G     0.8873      1.066      1.058      1.186         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.641      0.383      0.402      0.279      0.343      0.456      0.337       0.19\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     31/250      16.2G     0.8206       1.03     0.9664      1.114         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.722      0.368      0.396      0.283      0.648      0.369      0.373      0.219\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     32/250      16.1G      0.798       1.09     0.9798      1.103         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.704      0.561      0.614      0.433      0.737      0.514       0.63      0.419\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     33/250        16G     0.7838      1.022     0.9351      1.113         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.794       0.57      0.638      0.449      0.785      0.556      0.652      0.442\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     34/250      16.1G      0.821      1.088     0.9938      1.136         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.809      0.464      0.577      0.412      0.809      0.476      0.582      0.398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     35/250      16.1G     0.8015      1.029     0.9246      1.119         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.701      0.502      0.498      0.339      0.717      0.513      0.537      0.343\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     36/250      16.2G     0.8052      1.017     0.9389      1.125         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.701       0.47      0.443      0.297      0.674      0.448      0.406      0.237\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     37/250      15.9G     0.8054      1.037     0.9113      1.123         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.742      0.764      0.736      0.563       0.73      0.761      0.728      0.522\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     38/250        16G     0.7868      1.005     0.8362      1.098         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.608      0.711       0.75       0.54      0.611      0.707      0.754      0.512\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     39/250      16.2G     0.7525     0.9912     0.8356      1.102         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.67      0.607      0.606      0.438      0.702      0.631      0.632      0.416\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     40/250      16.1G     0.7626     0.9889     0.8485      1.074         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.545       0.57      0.527      0.343      0.541      0.558      0.504      0.251\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     41/250        16G     0.7438     0.9855     0.7873      1.084         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.82      0.626      0.656      0.477      0.807      0.619      0.654      0.452\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     42/250      16.1G     0.7498     0.9277     0.8194      1.075         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.713      0.499      0.561      0.382       0.66      0.468      0.525      0.354\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     43/250        16G     0.7446      1.021     0.7878      1.093         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.589      0.461      0.485      0.334      0.572      0.458      0.477      0.316\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     44/250        16G     0.7275     0.9575     0.7624       1.08         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.377      0.549      0.435      0.303      0.354      0.506      0.399       0.26\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     45/250      15.9G     0.7029      0.872     0.7432      1.064         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.619      0.727      0.702      0.537      0.628      0.739      0.716      0.506\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     46/250      16.2G     0.7524     0.9758     0.7825      1.085         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.59      0.684      0.658      0.486      0.606      0.703      0.687      0.469\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     47/250      16.1G     0.7071      0.943     0.7856       1.06         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.678      0.599      0.661      0.477      0.687      0.606      0.679       0.46\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     48/250      16.1G     0.7631     0.9501     0.7834      1.087         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.81      0.662      0.708      0.519      0.818      0.675      0.733       0.51\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     49/250        16G     0.7299     0.9447     0.7614      1.074         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.848      0.587      0.671      0.466       0.86      0.598      0.678      0.475\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     50/250      16.1G     0.7288     0.9034     0.7028      1.056         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.567      0.406      0.385      0.255      0.397      0.416      0.327      0.231\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     51/250      16.1G     0.6765     0.8978     0.6763      1.047         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.85      0.592      0.672      0.468      0.855      0.602      0.668      0.502\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     52/250      16.1G     0.6968     0.9454     0.6992      1.071         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.648      0.593      0.711       0.52      0.664        0.6      0.723      0.507\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     53/250      16.1G     0.6875     0.9077     0.7044       1.04         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.573      0.746      0.665      0.482      0.592      0.759      0.675        0.5\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     54/250      16.2G     0.7025     0.9272     0.7256      1.054          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.846      0.449      0.548      0.416       0.83      0.468      0.564      0.394\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     55/250      16.1G      0.677      0.908     0.7179      1.039         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.823      0.698      0.758      0.592      0.841      0.717      0.775      0.577\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     56/250      16.2G      0.723     0.9694     0.7593      1.088         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.827        0.6      0.685      0.519      0.833      0.609      0.698      0.497\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     57/250        16G     0.6804     0.9293     0.7096      1.034         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.585       0.76      0.692      0.529      0.595      0.767      0.706      0.494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     58/250      16.1G     0.6883     0.9232     0.7256       1.03         41        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.59       0.65      0.692      0.529      0.605      0.669       0.72      0.513\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     59/250        16G     0.6683     0.9191      0.735      1.044         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.662       0.72      0.707      0.532      0.675      0.739      0.728      0.515\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     60/250      16.1G     0.6692     0.8808     0.6905       1.03         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.665        0.8      0.799      0.565      0.906      0.667      0.721       0.53\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     61/250      15.9G     0.6812     0.9071     0.6667      1.039         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.754      0.758      0.766      0.599      0.767      0.774      0.787      0.587\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     62/250      16.1G     0.6425     0.8399     0.6465       1.03         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.513      0.614      0.622      0.419      0.513       0.61      0.626      0.384\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     63/250        16G     0.6777     0.8978     0.7004      1.061         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.678      0.757       0.76      0.595       0.68      0.757      0.746      0.556\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     64/250      16.2G     0.6545     0.8659     0.6797      1.033         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.716      0.697      0.756      0.563      0.641      0.859      0.782      0.572\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     65/250      16.1G     0.6613     0.8858     0.7416      1.041         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.529      0.714      0.724      0.565      0.516      0.699       0.74      0.539\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     66/250      16.1G     0.6606     0.9182     0.6331      1.036         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.706      0.592      0.631      0.493       0.77      0.631      0.674       0.42\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     67/250        16G     0.6686     0.8534     0.6912      1.038         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.59      0.715      0.689       0.53       0.59      0.715      0.697      0.499\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     68/250      16.1G     0.6549     0.9243     0.6602       1.04         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.879      0.652      0.742      0.574      0.867      0.648       0.73      0.536\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     69/250      15.9G     0.6605      0.898     0.6529      1.028          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.774      0.684      0.791      0.608      0.784      0.692      0.817       0.61\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     70/250      16.2G     0.6292     0.8606     0.6235      1.013         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.703      0.713       0.71      0.548      0.689      0.706      0.696      0.522\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     71/250      16.1G     0.6345     0.8278     0.6185      1.028         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.616        0.8      0.722      0.547      0.626       0.81      0.734      0.532\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     72/250      16.1G     0.6304     0.8374     0.5974     0.9937         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.725      0.754       0.82      0.649      0.728      0.758      0.829      0.616\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     73/250      15.9G     0.6308     0.8577     0.5862       1.01         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.819      0.793      0.857      0.677      0.826        0.8      0.865      0.656\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     74/250      16.1G     0.6069     0.8122     0.5838          1         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.594      0.879      0.806      0.542      0.625      0.763      0.749      0.531\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     75/250      16.1G     0.6327      0.844     0.6092      1.006         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.736      0.781      0.832      0.617      0.718      0.763      0.813      0.619\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     76/250      16.1G     0.6287     0.8764     0.5999      1.007         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.693      0.582      0.653      0.521      0.697      0.595      0.669      0.488\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     77/250      15.9G     0.5906     0.8059     0.5751      1.002         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.869      0.671      0.697      0.537      0.851      0.653      0.693      0.519\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     78/250      16.1G     0.5984     0.7986     0.5827      1.003         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.87      0.673      0.741      0.562      0.869       0.69      0.756      0.561\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     79/250        16G     0.6152     0.8538     0.6086     0.9992          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.84       0.64      0.783      0.603      0.623      0.789      0.775      0.587\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     80/250      16.1G     0.5961     0.8386     0.5562      0.979         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.67      0.631      0.704      0.534      0.678      0.641      0.719      0.488\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     81/250      15.9G     0.5939     0.7867     0.5332     0.9909         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.732       0.73       0.76      0.597      0.665      0.825      0.756       0.55\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     82/250      16.1G     0.6173     0.8136     0.5677      1.007         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.643      0.818       0.82      0.641      0.664      0.845      0.841      0.635\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     83/250      16.2G     0.6066     0.8022     0.5237     0.9778         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.83      0.722      0.845      0.643      0.841      0.738      0.864      0.627\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     84/250      16.1G     0.5784     0.8117     0.5459     0.9871         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.836      0.683      0.713      0.531       0.86      0.714      0.743      0.516\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     85/250      16.1G      0.575     0.7939     0.5298     0.9709         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.792      0.634      0.674      0.518      0.815      0.657      0.708      0.504\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     86/250      16.2G     0.6222     0.8597     0.6249      1.011         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.809      0.539      0.639      0.507      0.772       0.59      0.652      0.481\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     87/250      16.2G     0.5898      0.801     0.5621      0.996         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.543      0.713      0.633      0.461      0.894      0.483      0.632      0.404\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     88/250        16G     0.6008     0.7899     0.5812      1.022          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.89      0.694      0.743      0.593        0.9      0.701      0.759      0.585\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     89/250      16.5G     0.5941     0.7887      0.572     0.9959         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.685      0.846      0.824      0.607      0.702      0.864      0.845      0.574\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     90/250      16.1G     0.5742     0.7912     0.5497     0.9752         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.845      0.703      0.781      0.596      0.853       0.71      0.792      0.563\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     91/250      16.1G     0.5489     0.7491     0.5122     0.9727         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.698      0.776      0.758       0.55      0.678      0.762      0.747      0.536\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     92/250      16.1G     0.5669     0.7731     0.4993     0.9858         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.795      0.743      0.781      0.587      0.775      0.813      0.818      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     93/250      16.1G     0.5744      0.764     0.5182     0.9875         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.848      0.835      0.878      0.606      0.864      0.847      0.901      0.653\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     94/250      16.1G      0.605     0.7787     0.5266      1.009         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.739      0.819      0.861      0.678       0.76      0.842      0.887      0.678\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     95/250      16.1G     0.5876     0.7809     0.5273      1.005         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.699      0.809      0.755      0.578      0.695      0.804      0.744      0.575\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     96/250      16.1G     0.5528     0.7684     0.5143     0.9698         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.664      0.794      0.775      0.604      0.691      0.823      0.809      0.562\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     97/250        16G     0.5728     0.7868     0.5479     0.9701         40        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.811      0.835      0.882      0.705      0.818      0.841      0.901       0.69\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     98/250      16.1G     0.5827     0.7899     0.5448     0.9824         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.872        0.7      0.874        0.7      0.877      0.704      0.891      0.674\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     99/250      16.1G     0.5688     0.7685     0.5392     0.9921         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.864      0.692      0.809      0.641      0.864      0.692      0.809      0.629\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    100/250      16.1G     0.5925     0.8259     0.5495      0.996          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.703      0.662      0.693      0.469      0.671      0.633      0.661      0.465\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    101/250        16G     0.5739     0.7648     0.5212     0.9905         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.738      0.762      0.737      0.553      0.742      0.766      0.739      0.548\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    102/250      16.1G     0.5422     0.7747     0.5202     0.9696         38        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.845      0.673      0.777      0.585      0.828      0.658      0.763      0.568\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    103/250      16.1G     0.5434     0.7595     0.4854     0.9532         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.738      0.746      0.815      0.634      0.722      0.732      0.813      0.622\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    104/250      15.9G     0.5396     0.8094     0.4932     0.9769         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.856      0.651      0.797      0.627      0.864      0.662      0.813       0.63\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    105/250      15.9G     0.5374     0.7286     0.4727     0.9617         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.765      0.727      0.764      0.595       0.78      0.742      0.782      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    106/250      16.1G     0.5476     0.7656     0.5034     0.9767          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.661      0.752      0.773      0.594      0.671      0.763      0.798      0.593\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    107/250      16.1G     0.5687     0.7634     0.5149      1.008         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.612       0.74      0.685      0.484      0.597      0.718      0.656      0.433\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    108/250      16.2G     0.5515     0.7692     0.5232     0.9794         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.784      0.729      0.803      0.623      0.809      0.751      0.828      0.622\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    109/250      15.9G     0.5592      0.752     0.5037     0.9848         43        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.677        0.7       0.68      0.507      0.664      0.689       0.68      0.489\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    110/250      16.1G     0.5298     0.7474     0.4874     0.9669         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.69      0.843      0.823      0.566      0.688      0.843      0.811      0.569\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    111/250      16.1G     0.5254     0.7649     0.4904     0.9603         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.679      0.852      0.847      0.637      0.671      0.829      0.841      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    112/250      16.1G     0.5162     0.7092     0.5047     0.9625         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.792      0.652      0.761      0.584      0.806      0.672      0.781      0.572\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    113/250        16G     0.5319     0.7537      0.496     0.9762         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.767      0.718      0.772      0.624      0.774      0.725      0.778      0.587\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    114/250      16.1G     0.5159     0.7429     0.4726     0.9505          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.786      0.763      0.825      0.651      0.775      0.749      0.813      0.611\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    115/250      16.1G     0.5094     0.7007     0.4844     0.9517         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.75      0.893      0.897      0.722      0.752      0.906      0.917      0.705\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    116/250      16.1G     0.5167      0.744     0.4689     0.9493         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.616      0.674      0.689      0.523      0.742      0.542      0.692      0.476\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    117/250      15.9G     0.5061     0.7435     0.4955     0.9579         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.819      0.844      0.885       0.72      0.831      0.855      0.904      0.684\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    118/250      16.1G     0.5234     0.7646     0.5188     0.9694          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.694      0.729      0.719      0.548      0.698      0.733      0.732      0.527\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    119/250        16G     0.5064     0.7152     0.5389     0.9559         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.849      0.526      0.643      0.465      0.872      0.543      0.656      0.413\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    120/250      16.2G     0.5201     0.7191     0.4743     0.9654         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.848       0.68      0.811      0.666      0.856      0.687      0.836      0.614\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    121/250      15.9G     0.4958     0.7007     0.4837     0.9271         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.829       0.73      0.779      0.637      0.848      0.755      0.815      0.614\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    122/250      16.2G       0.51     0.7144      0.488     0.9582         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.821      0.629      0.679      0.509      0.849      0.576      0.662      0.487\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    123/250      16.2G     0.4742     0.6884     0.4238     0.9376         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.677      0.743      0.752      0.616      0.684      0.751      0.771      0.593\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    124/250      16.1G      0.488     0.6795     0.4422     0.9308         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.868      0.728      0.797      0.647      0.878      0.735      0.817      0.637\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    125/250        16G     0.5113     0.7179     0.4428     0.9443         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.71      0.782      0.827      0.652      0.721      0.793      0.846      0.655\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    126/250      16.1G     0.5016     0.7454     0.4582     0.9553         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.88      0.709      0.838      0.669      0.889      0.716      0.855      0.659\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    127/250      16.1G     0.5072     0.7243     0.4487     0.9405         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.87      0.708      0.829      0.644      0.882      0.723      0.855       0.62\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    128/250      16.3G     0.5014     0.7399     0.4679     0.9454         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.711      0.891      0.836      0.633      0.734      0.922      0.861      0.603\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    129/250      15.9G     0.5101     0.7182      0.492     0.9387         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.764      0.737      0.785      0.557      0.777      0.748      0.804      0.574\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    130/250      16.1G     0.5208     0.6814     0.4742      0.968         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.72      0.851      0.839      0.645      0.712      0.871      0.848      0.633\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    131/250        16G     0.4973     0.7391     0.4671     0.9583          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.852      0.455      0.543      0.372      0.844      0.444      0.537      0.328\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    132/250      16.1G     0.4741        0.7     0.4403     0.9239          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.87      0.731      0.848      0.682      0.873      0.734      0.856      0.657\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    133/250        16G     0.4628     0.6367     0.4194       0.94          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.781      0.757      0.792      0.646      0.788      0.764      0.802      0.617\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    134/250      16.2G     0.4806     0.7105     0.4357      0.952         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.667      0.732      0.752      0.578      0.665       0.73      0.722       0.56\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    135/250      16.1G     0.4883     0.6894     0.4664     0.9548         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.748      0.808      0.815      0.625      0.747       0.83      0.817      0.615\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    136/250      16.1G     0.4765     0.6901     0.4586     0.9403         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.818      0.853      0.867      0.705       0.81      0.845      0.856      0.678\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    137/250        16G     0.4654     0.6829     0.4325     0.9269         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.863      0.661      0.785      0.637      0.882      0.676      0.806      0.624\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
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          "text": [
            "    138/250      16.1G     0.4628     0.6573     0.4389     0.9261         37        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.682      0.736      0.785      0.646      0.696      0.749      0.808       0.62\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    139/250      16.2G     0.4598     0.6562     0.4037     0.9187         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.858      0.649      0.869      0.713      0.876      0.664      0.888      0.691\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    140/250      16.1G     0.4765      0.698     0.4457     0.9372         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.66      0.817      0.764      0.618      0.674      0.832       0.78      0.595\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    141/250      15.9G     0.4648     0.7061     0.4318     0.9316         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.697      0.868      0.842      0.697      0.709      0.879      0.858      0.671\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    142/250      16.1G     0.4743      0.697      0.457     0.9328         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.836      0.806      0.872      0.716      0.845      0.813       0.88       0.69\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    143/250      16.1G     0.4726     0.6822     0.4676     0.9395         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.814      0.835      0.858      0.704      0.831       0.85      0.876       0.68\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    144/250      16.1G     0.4741     0.6557     0.4371     0.9358         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.819      0.806      0.861      0.681      0.826      0.813      0.864      0.655\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    145/250        16G     0.4426     0.6651     0.3997     0.9092          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.791      0.835      0.873       0.69      0.798      0.841      0.884      0.669\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    146/250      16.1G     0.4866     0.6996     0.4523     0.9374          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.862      0.762      0.877      0.667      0.871      0.769      0.888      0.643\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    147/250      16.1G     0.4777      0.694     0.4375     0.9393         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.823      0.763      0.823       0.64       0.83      0.771      0.838      0.632\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    148/250      16.1G     0.4433     0.6429     0.4007     0.9197         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.663      0.758      0.747      0.551      0.669      0.765      0.779      0.541\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    149/250        16G     0.4498     0.6504     0.4149     0.9305         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.863      0.802      0.852      0.653      0.904      0.784      0.871      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    150/250      16.1G     0.4446     0.6396     0.3765     0.9222         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.826      0.768       0.87      0.707      0.838      0.779      0.891      0.685\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    151/250        16G     0.4433     0.6633     0.4141     0.9194         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.766      0.867      0.875      0.685      0.777      0.878       0.89      0.661\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    152/250      16.1G     0.4363     0.6784     0.3947      0.921         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.867      0.819      0.888      0.714      0.875      0.827      0.908      0.691\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    153/250      16.1G     0.4336     0.6561     0.3965     0.9258          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.755      0.828       0.82      0.643        0.8      0.875      0.876      0.639\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    154/250      16.1G     0.4313     0.6773     0.3926     0.9192         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.727      0.762      0.791      0.623      0.735      0.769      0.788      0.616\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    155/250      16.1G     0.4564     0.6439     0.4027     0.9269         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.663        0.8       0.82      0.563      0.654      0.785      0.803      0.567\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    156/250      16.1G     0.4515     0.6694      0.411     0.9362         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96        0.7      0.827       0.77      0.588      0.703      0.831      0.776      0.573\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    157/250      16.5G     0.4682     0.6591     0.4447     0.9331         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.793      0.848      0.859      0.673      0.808      0.862      0.884      0.651\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    158/250      16.1G     0.4368     0.6326     0.4138     0.9164         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.81      0.807       0.85       0.69      0.853      0.802      0.866      0.678\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    159/250      16.1G     0.4107     0.6288     0.3777     0.9094         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.818      0.773      0.863      0.693      0.829      0.793      0.874      0.667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    160/250      16.3G     0.4148     0.6042     0.3911     0.9087         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.733      0.803      0.838      0.671      0.787      0.787      0.854       0.66\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    161/250      15.9G     0.4215     0.6501     0.3848     0.9214         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.726      0.871      0.862      0.695      0.731      0.869      0.846       0.68\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    162/250      16.1G     0.4424     0.6153     0.3871     0.9183          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.784      0.875      0.888       0.71      0.779      0.869      0.878      0.694\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    163/250      16.2G      0.419     0.5789      0.394     0.9075         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.79      0.796      0.845       0.67      0.801      0.807      0.856      0.647\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    164/250      16.2G     0.4048     0.5984      0.349     0.9092         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.747      0.862      0.842      0.661      0.771      0.884      0.869       0.65\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    165/250      16.1G     0.4294     0.6107     0.3763     0.9128         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.704      0.782      0.795      0.614      0.704      0.778      0.792      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    166/250      16.1G     0.4309     0.6467     0.4098     0.9306         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.756      0.871      0.833      0.681      0.776      0.892      0.865      0.655\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    167/250      16.1G     0.4108      0.637     0.3924      0.905         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.747       0.68      0.726      0.588      0.735      0.722      0.756       0.56\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    168/250      16.1G     0.4081     0.6416     0.3709     0.9037         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.846      0.714      0.779      0.617       0.87      0.733      0.816      0.613\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    169/250      16.4G     0.3999     0.6297     0.3634     0.9066         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.722      0.761      0.762      0.573      0.683      0.743      0.701      0.519\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    170/250      16.2G      0.403     0.6052     0.3786     0.9079         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.798      0.577        0.6      0.433      0.714      0.515      0.511      0.347\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    171/250      16.1G     0.4097     0.6114     0.3848     0.9065         36        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.856      0.718      0.797      0.635      0.865      0.725       0.82      0.598\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    172/250      16.1G     0.4127     0.6106     0.3704     0.9149         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.802       0.81      0.845      0.685      0.832      0.811      0.876      0.673\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    173/250        16G     0.3989     0.5909     0.3627     0.9084         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.818      0.825      0.857        0.7      0.844      0.844      0.885      0.695\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    174/250      16.1G     0.4072      0.604     0.4015     0.9161          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.807      0.714      0.803      0.631       0.83      0.736      0.846      0.637\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    175/250      16.1G     0.4084     0.6259     0.3558     0.9168         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.824      0.755      0.823      0.666      0.844      0.774      0.861       0.67\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    176/250      16.2G     0.3897     0.5869     0.3713     0.9038          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.856       0.84      0.882      0.703      0.869      0.851      0.907      0.693\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    177/250      16.1G     0.3981     0.5933     0.3557     0.8997         37        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.866      0.837      0.893      0.719      0.864      0.834      0.895      0.728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    178/250      16.2G     0.4045     0.6376     0.3752     0.9141         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.863      0.832      0.898      0.717      0.887      0.839      0.919      0.728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    179/250      16.1G     0.3923     0.5898     0.3627     0.9073         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.825      0.823      0.886      0.735      0.889      0.807      0.901      0.711\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    180/250      16.1G     0.3996     0.5714     0.3561     0.9154         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.791      0.851      0.875      0.717      0.809       0.87      0.904      0.702\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    181/250        16G     0.3973     0.5899     0.3368     0.9063         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.825      0.787      0.875      0.712      0.841      0.802       0.89      0.702\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    182/250      16.1G     0.3957     0.5891      0.335     0.9068         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.844      0.833      0.888      0.716      0.837      0.825      0.861      0.707\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    183/250      16.2G     0.3786     0.5647     0.3357      0.896         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.881      0.824      0.896      0.726      0.899      0.839      0.915      0.705\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    184/250        16G     0.3844     0.5845      0.351     0.8939         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.97it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.846      0.736      0.863      0.697      0.859      0.748      0.867      0.671\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    185/250      15.9G     0.3838      0.563     0.3419     0.9016         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.822      0.839      0.879      0.684      0.834      0.849      0.883      0.689\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    186/250      16.1G     0.3763     0.5715     0.3521     0.8998         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.831      0.825      0.865      0.698      0.848       0.84      0.884      0.696\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    187/250      16.1G     0.3631     0.5284     0.3121      0.893         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.871      0.842      0.885      0.713      0.883      0.853      0.903      0.696\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    188/250      16.1G     0.3667     0.5246     0.3212     0.8958         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.874      0.857      0.895      0.723      0.886      0.868      0.914      0.707\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    189/250      15.9G     0.3652     0.5666     0.3331      0.898         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.861      0.847      0.882      0.713      0.878      0.861      0.899      0.693\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    190/250      16.1G     0.3617     0.5618     0.3289     0.8832         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.803      0.852      0.868      0.706       0.82      0.866      0.892      0.682\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    191/250      16.1G     0.3799     0.5906     0.3352     0.8948         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.776      0.713      0.782       0.64      0.792      0.728       0.81      0.621\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    192/250      16.1G     0.3717     0.5486     0.3207     0.8884         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.77      0.721      0.757      0.603       0.79      0.739      0.786      0.587\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    193/250        16G     0.3659     0.5623     0.3262     0.8973         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.707      0.746      0.769      0.633      0.721      0.761      0.787      0.596\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    194/250      16.2G     0.3576     0.5352     0.3166     0.8899          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96        0.8      0.831      0.852      0.706      0.811      0.842      0.866      0.655\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    195/250      16.1G     0.3817     0.5862     0.3426     0.9054         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.834      0.754       0.82      0.654       0.85      0.769      0.845      0.636\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    196/250      16.1G     0.3737     0.5768     0.3514     0.8957         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.745      0.842      0.832      0.685      0.752      0.849      0.838      0.659\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    197/250      15.9G     0.3704     0.5886     0.3606     0.9038         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.88      0.859      0.887      0.722      0.892       0.87      0.902      0.703\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    198/250      16.1G     0.3644     0.5432     0.3418     0.9049         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.838      0.863      0.884      0.717       0.85      0.874      0.897      0.693\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    199/250      16.1G     0.3623     0.5644     0.3161     0.8934         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.786      0.826      0.863       0.71      0.791      0.794       0.84      0.688\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    200/250      16.1G     0.3623     0.5785     0.3215     0.8937         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.83       0.82       0.83      0.678      0.844      0.832      0.849       0.66\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
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          "text": [
            "    201/250        16G     0.3527     0.5453     0.3653     0.8819         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.79      0.826      0.847      0.696      0.802      0.837      0.865      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    202/250      16.1G     0.3508     0.5426     0.3023     0.8921         36        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.858      0.785      0.864      0.691      0.892       0.79      0.882       0.66\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    203/250      16.1G     0.3383     0.5246     0.3054     0.8831         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.843      0.843      0.885      0.688      0.852      0.851      0.897       0.68\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    204/250      16.1G     0.3454     0.5433     0.3097     0.8828         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.856      0.844        0.9      0.718      0.834      0.825      0.871      0.699\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    205/250      15.9G     0.3403     0.5253     0.3201      0.881         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.813      0.868      0.876      0.709      0.813      0.868      0.883      0.691\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    206/250      16.1G     0.3387     0.5551     0.3153     0.8917         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.86      0.759      0.864      0.689       0.86      0.759      0.874      0.667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    207/250        16G     0.3421     0.5398     0.2952     0.8911         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.836      0.774      0.884      0.692      0.841      0.777       0.89      0.684\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    208/250      16.2G       0.34     0.5394     0.2992     0.8812         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.849      0.775      0.877      0.711      0.867      0.789      0.901      0.717\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    209/250      15.9G     0.3237     0.5329     0.2925     0.8865         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.791      0.833      0.859      0.697      0.795      0.836       0.86      0.684\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    210/250      16.1G     0.3478     0.5508     0.3142     0.8846         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.76       0.87      0.852      0.707      0.767      0.877      0.864       0.68\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    211/250      16.2G     0.3344     0.5321        0.3     0.8877         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.903      0.786      0.882      0.731      0.909      0.792      0.884      0.692\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    212/250        16G     0.3262     0.5275     0.2947     0.8671         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.923      0.789      0.894      0.743      0.933      0.795      0.901      0.712\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    213/250      15.9G     0.3299     0.5315      0.289     0.8767         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.903      0.825      0.905       0.75      0.912      0.833      0.912      0.715\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    214/250      16.1G     0.3322     0.5353     0.2881     0.8876         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.903      0.839      0.915      0.744      0.911      0.846      0.921      0.715\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    215/250      16.2G      0.319     0.5136     0.2731     0.8621         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.877      0.792      0.873      0.715      0.895      0.806      0.896      0.701\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    216/250        16G     0.3231     0.5094     0.2846     0.8832         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.829       0.77      0.838       0.69      0.824      0.766      0.836      0.677\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    217/250      15.9G      0.314        0.5     0.2983     0.8794         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.84       0.78      0.847      0.707      0.838       0.78      0.861       0.69\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    218/250        16G     0.3135     0.5123     0.2916     0.8784          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.794      0.783      0.828      0.694      0.812      0.798      0.861      0.677\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    219/250      16.1G     0.2964     0.4801     0.2576     0.8587         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.876      0.736      0.862      0.729      0.895      0.751      0.897      0.713\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    220/250      16.1G     0.3237     0.5285      0.297      0.864         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.872      0.781      0.866      0.731       0.89      0.795      0.899       0.71\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    221/250      16.1G     0.3182     0.5087     0.2776     0.8816         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.855      0.774      0.866      0.725      0.873      0.789      0.904      0.713\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    222/250      16.1G     0.3112     0.5061     0.2817     0.8713         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.828      0.787      0.869      0.727      0.845      0.802      0.908      0.703\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    223/250      16.1G     0.3314      0.527      0.283     0.8767         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.884      0.817      0.882      0.729      0.901      0.832      0.917      0.727\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    224/250      16.1G     0.3102     0.5204       0.27     0.8763         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.867       0.82      0.873      0.728      0.885      0.835      0.909      0.716\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    225/250      16.5G     0.3072     0.5117     0.2739     0.8723         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.83      0.729      0.822      0.687      0.848      0.744      0.857      0.672\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    226/250      16.1G     0.3218     0.5103     0.2895     0.8871         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.834      0.787      0.835      0.682      0.847      0.798      0.864      0.668\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    227/250      16.1G     0.3106      0.492     0.2706     0.8773         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.806      0.854      0.868       0.72      0.809      0.859      0.882      0.691\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    228/250      16.1G     0.3029     0.4957     0.2654     0.8737         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.823      0.799      0.877      0.728      0.827      0.802      0.887      0.707\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    229/250      15.9G     0.3064     0.5052     0.2644      0.863         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.853      0.794      0.859      0.724      0.865      0.803      0.885      0.702\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    230/250      16.1G     0.3081     0.5152     0.2837     0.8772         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.884      0.791      0.861      0.722      0.905       0.81      0.892      0.712\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    231/250      16.1G     0.2975      0.496     0.2601      0.866         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.886      0.803      0.876      0.724      0.898      0.814      0.896      0.716\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    232/250      16.2G     0.2899     0.4905     0.2691     0.8666         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.883      0.799      0.878      0.725      0.896      0.809      0.902      0.712\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    233/250        16G     0.3143     0.5214     0.3003     0.8762         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.868      0.787      0.869       0.73       0.89      0.806        0.9      0.711\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    234/250      16.2G      0.294     0.5047     0.2731     0.8664         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.876      0.786      0.869      0.728      0.898      0.804      0.894      0.704\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    235/250      16.1G     0.3041     0.5223     0.2771     0.8612         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.842      0.784       0.88      0.732      0.859      0.799      0.906      0.715\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    236/250        16G     0.3023     0.4945     0.2678     0.8776          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.751      0.865      0.853      0.702      0.763      0.876      0.874      0.681\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    237/250      15.9G     0.2934     0.4828     0.2581     0.8662         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.865      0.792      0.875      0.716      0.878      0.803      0.896      0.697\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    238/250      16.2G     0.2942     0.4933      0.259     0.8746         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.872      0.793      0.858      0.702      0.885      0.804       0.88      0.687\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    239/250      16.1G     0.2947     0.4973     0.2474     0.8751         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.884      0.786      0.859      0.714      0.898      0.797      0.883      0.702\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    240/250      16.2G     0.2957     0.4968     0.2576     0.8693         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.876      0.788      0.874       0.73       0.89      0.799      0.894      0.712\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Closing dataloader mosaic\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    241/250      15.9G     0.2336     0.4209     0.2264     0.8462          6        800: 100%|██████████| 21/21 [00:20<00:00,  1.01it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.864      0.791      0.883       0.73      0.877      0.803      0.905      0.713\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    242/250      16.1G      0.239     0.4154     0.2187     0.8535          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.873      0.793      0.881      0.736      0.886      0.804      0.902      0.706\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    243/250        16G     0.2136     0.4101     0.1845     0.8279          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.877      0.789      0.879      0.728       0.89      0.801      0.902      0.703\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    244/250        16G     0.2357     0.4114     0.1979     0.8481          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96       0.87      0.789      0.877      0.732      0.883        0.8      0.899      0.716\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    245/250      15.9G     0.2198     0.4089     0.2008     0.8202          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.868      0.791      0.878      0.731      0.881      0.802      0.899      0.719\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    246/250        16G      0.236     0.4087     0.2079     0.8478          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.863      0.789      0.879      0.732      0.876        0.8      0.899      0.719\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    247/250        16G     0.2252     0.4125     0.2106     0.8319         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.868      0.794      0.881      0.735      0.881      0.805      0.902      0.722\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    248/250      16.1G     0.2161      0.408     0.1997     0.8314          2        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.874      0.796      0.873      0.731      0.887      0.807      0.892      0.708\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    249/250      16.4G      0.214     0.3984     0.1867      0.833          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.876      0.793      0.869      0.731      0.889      0.805      0.888      0.703\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    250/250      16.1G     0.2171     0.4049     0.2006     0.8297         31        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.875      0.793      0.869      0.727      0.888      0.805      0.888      0.703\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "250 epochs completed in 1.535 hours.\n",
            "Optimizer stripped from /content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162/weights/last.pt, 92.4MB\n",
            "Optimizer stripped from /content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162/weights/best.pt, 92.4MB\n",
            "\n",
            "Validating /content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162/weights/best.pt...\n",
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "YOLOv8l-seg summary (fused): 125 layers, 45,917,285 parameters, 0 gradients, 220.2 GFLOPs\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95):   0%|          | 0/2 [00:00<?, ?it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING ⚠️ Model does not support 'augment=True', reverting to single-scale prediction.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95):  50%|█████     | 1/2 [00:00<00:00,  1.38it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING ⚠️ Model does not support 'augment=True', reverting to single-scale prediction.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.19it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         96      0.903      0.826      0.905      0.751      0.911      0.833      0.913      0.716\n",
            "             blue_bird          2          2      0.987          1      0.995      0.947      0.988          1      0.995      0.895\n",
            "           blue_flower          6          9      0.783      0.667      0.809      0.593      0.784      0.667      0.823      0.504\n",
            "            red_spiral          8         45      0.829      0.753      0.813      0.614      0.878      0.797      0.842      0.578\n",
            "   curved_green_stripe         14         14      0.982      0.857      0.969      0.768      0.982      0.857      0.969      0.836\n",
            "       thin_red_stripe         17         22      0.881      0.677      0.851      0.715      0.881      0.676      0.851      0.695\n",
            "      thick_red_stripe          4          4      0.953          1      0.995      0.868      0.953          1      0.995      0.786\n",
            "Speed: 0.3ms preprocess, 17.6ms inference, 0.0ms loss, 1.5ms postprocess per image\n",
            "Results saved to \u001b[1m/content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ultralytics.utils.metrics.SegmentMetrics object with attributes:\n",
              "\n",
              "ap_class_index: array([0, 2, 3, 4, 5, 6])\n",
              "box: ultralytics.utils.metrics.Metric object\n",
              "confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x7f109a361dd0>\n",
              "curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)', 'Precision-Recall(M)', 'F1-Confidence(M)', 'Precision-Confidence(M)', 'Recall-Confidence(M)']\n",
              "curves_results: [[array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
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              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,    0.006864,    0.003432,           0],\n",
              "       [          1,           1,           1, ...,    0.008098,    0.004049,           0],\n",
              "       [          1,           1,           1, ...,         0.7,         0.7,           0],\n",
              "       [          1,           1,           1, ...,    0.019679,   0.0098396,           0],\n",
              "       [          1,           1,           1, ...,           1,           1,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.22222,     0.22222,     0.28608, ...,           0,           0,           0],\n",
              "       [    0.53333,     0.53333,     0.59886, ...,           0,           0,           0],\n",
              "       [    0.59701,     0.59701,     0.64474, ...,           0,           0,           0],\n",
              "       [       0.56,        0.56,     0.70102, ...,           0,           0,           0],\n",
              "       [     0.6087,      0.6087,     0.69162, ...,           0,           0,           0],\n",
              "       [        0.4,         0.4,     0.47163, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[      0.125,       0.125,     0.16691, ...,           1,           1,           1],\n",
              "       [    0.38095,     0.38095,     0.48687, ...,           1,           1,           1],\n",
              "       [    0.44944,     0.44944,     0.50581, ...,           1,           1,           1],\n",
              "       [    0.38889,     0.38889,     0.53967, ...,           1,           1,           1],\n",
              "       [    0.44681,     0.44681,     0.54226, ...,           1,           1,           1],\n",
              "       [       0.25,        0.25,     0.30859, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.88889,     0.88889,     0.77778, ...,           0,           0,           0],\n",
              "       [    0.88889,     0.88889,     0.88889, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.95455,     0.95455,     0.95455, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0]]), 'Confidence', 'Recall'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           1,           1,           0],\n",
              "       [          1,           1,           1, ...,    0.006864,    0.003432,           0],\n",
              "       [          1,           1,           1, ...,    0.008098,    0.004049,           0],\n",
              "       [          1,           1,           1, ...,         0.7,         0.7,           0],\n",
              "       [          1,           1,           1, ...,    0.019679,   0.0098396,           0],\n",
              "       [          1,           1,           1, ...,           1,           1,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.22222,     0.22222,     0.28608, ...,           0,           0,           0],\n",
              "       [    0.53333,     0.53333,      0.6317, ...,           0,           0,           0],\n",
              "       [    0.59701,     0.59701,     0.64474, ...,           0,           0,           0],\n",
              "       [       0.56,        0.56,     0.70102, ...,           0,           0,           0],\n",
              "       [     0.6087,      0.6087,     0.69162, ...,           0,           0,           0],\n",
              "       [        0.4,         0.4,     0.47163, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[      0.125,       0.125,     0.16691, ...,           1,           1,           1],\n",
              "       [    0.38095,     0.38095,     0.51313, ...,           1,           1,           1],\n",
              "       [    0.44944,     0.44944,     0.50581, ...,           1,           1,           1],\n",
              "       [    0.38889,     0.38889,     0.53967, ...,           1,           1,           1],\n",
              "       [    0.44681,     0.44681,     0.54226, ...,           1,           1,           1],\n",
              "       [       0.25,        0.25,     0.30859, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.88889,     0.88889,     0.82155, ...,           0,           0,           0],\n",
              "       [    0.88889,     0.88889,     0.88889, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.95455,     0.95455,     0.95455, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0]]), 'Confidence', 'Recall']]\n",
              "fitness: np.float64(1.5019670143351331)\n",
              "keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)', 'metrics/precision(M)', 'metrics/recall(M)', 'metrics/mAP50(M)', 'metrics/mAP50-95(M)']\n",
              "maps: array([     1.8421,      1.4669,      1.0974,      1.1926,      1.6045,      1.4103,      1.6544])\n",
              "names: {0: 'blue_bird', 1: 'yellow_bird', 2: 'blue_flower', 3: 'red_spiral', 4: 'curved_green_stripe', 5: 'thin_red_stripe', 6: 'thick_red_stripe'}\n",
              "nt_per_class: array([ 2,  0,  9, 45, 14, 22,  4])\n",
              "nt_per_image: array([ 2,  0,  6,  8, 14, 17,  4])\n",
              "results_dict: {'metrics/precision(B)': np.float64(0.9026551037449391), 'metrics/recall(B)': np.float64(0.8255537573125343), 'metrics/mAP50(B)': np.float64(0.9052384575341944), 'metrics/mAP50-95(B)': np.float64(0.7509562105939432), 'metrics/precision(M)': np.float64(0.9111520300493701), 'metrics/recall(M)': np.float64(0.8328031546853883), 'metrics/mAP50(M)': np.float64(0.912544969638021), 'metrics/mAP50-95(M)': np.float64(0.715920091203736), 'fitness': np.float64(1.5019670143351331)}\n",
              "save_dir: PosixPath('/content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_162')\n",
              "seg: ultralytics.utils.metrics.Metric object\n",
              "speed: {'preprocess': 0.2639171999817336, 'inference': 17.619013800003813, 'loss': 0.0004487249952944694, 'postprocess': 1.4502619500035507}\n",
              "stats: {'tp': [], 'conf': [], 'pred_cls': [], 'target_cls': [], 'target_img': [], 'tp_m': []}\n",
              "task: 'segment'"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "evaluate_yolo_box_seg(\n",
        "\"/content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_16/weights/best.pt\",\n",
        "data_path+\"/data.yaml\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iir9eVWsdyX_",
        "outputId": "41ae1ac9-a01f-4846-c9f9-74cb842eb620"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "YOLOv8l-seg summary (fused): 125 layers, 45,917,285 parameters, 0 gradients, 220.2 GFLOPs\n",
            "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.4±0.1 ms, read: 0.3±0.3 MB/s, size: 351.0 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/7c/test/labels... 39 images, 10 backgrounds, 0 corrupt: 100%|██████████| 39/39 [00:09<00:00,  4.26it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/7c/test/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:02<00:00,  1.30it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         39         62      0.824      0.858       0.92      0.795      0.824      0.858       0.92      0.792\n",
            "Speed: 5.3ms preprocess, 27.2ms inference, 0.0ms loss, 2.2ms postprocess per image\n",
            "Results saved to \u001b[1mruns/segment/val3\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'box_precision': 0.8241512399625393,\n",
              " 'box_recall': 0.857753181853182,\n",
              " 'box_map50': 0.9203596167916207,\n",
              " 'seg_precision': 0.8241512399625393,\n",
              " 'seg_recall': 0.857753181853182,\n",
              " 'seg_map50': 0.9203596167916207}"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from ultralytics import YOLO\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "masks = get_yolo_masks(\n",
        "    weights_path=\"/content/drive/MyDrive/Repair Project/report/results/training/7c/train_250_800_16/weights/best.pt\",\n",
        "    image_path=\"/content/drive/MyDrive/Repair Project/report/data/7c/test/images/RPf_00481.png\"\n",
        "    )\n",
        "\n",
        "plot_masks(masks)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807
        },
        "id": "72NIq34lgOJb",
        "outputId": "c0daa091-6e40-4b90-e0c8-c7ac65047f9f"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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/Y5co0Ejle/L03u8mmI7RJF0n7pbl8ZWxud8/R9vn9kzKEQ7b3uylN/5rmsp2N27WMBC01e3M3ep13jZN+cm8hOcB4G/MdAGNFK0Ja9Mr/SRJE7+9yFiODx8fqp3vdD/t8y7/90xZAduBRMnz5vfO1a53uyXthPhPjtyY8+3zddGfZyunQ5Ve+fLFqq/86NZKVzw0U4Hgid/DYFpcPaduV36PUhVvLtQ7P2fJEcDpUbqAJojWhFW+p3GzIslSdShbdeUZDT7niodeVJsBRZ6e5Xrz/yW3cB2rbGe+XvnyJQqE4yrfnXd0GfP5m6/RtU8/d9LvYzAtrjb9jyhWx+n1ABqH5UWgifav6KiF9000MvbqJ4do06x+DT7nqkdnqE1/bxeuud8/R7sWOFO4PlGxL09lO/OP2zdWtjP/tK9rM6BIU37MUiOA06N0AU0Uqw9p48v9tegP4x0dd+2zg/T+P0cpUp3W4POy21XJ8vDf7Hk/nKKd73T3zE2ng2lxZRTUmo4BwAM8/KMZMCceCWr9jIFa+rcxjo0ZrQ0pWhtu8DnXPv2s0lvVOZQo8d75+WRtm9vLM4XrE51G79Ptcx/RxO8sNB0FgItRuoBmikeDWv3EUD101p1a3czT0Rtrw8z+Wv5/o0/7vHBWxLPLigvvm6jNr/Z11Y2m75j3cKOeFwjaSsuOaMCVGzTu6/64tyWAxHPPTzfAg+x4QLH6kJb8ZZwemHi3tr7RK0njWKctI9c89Zyy2lYnZXwnxKMBV93r8I55DyuUEW1SiQ0EbQVC8eSFAuBp7vkJB3iZbcmOBzTvf6Zq17tdnR5cVz7ygvJ7lHpylsu2pSV/GauNL/U3HeU4zT1uY9B16zTq3uUJTgPADyhdQEI533ou/ccstel/xJuFKy6t+PdIrX7yDLnt/oYPn32n4pGA7CZ2L8v6uLBZ3j4jDUDiUboADwuEYrI8+uYej1n68Ikz9MEDI01HOQVLD511t2L1Td/UP/yOVRp2+ypZAZYaAXyKw1GBBIvWhlRf1fCnDJvqVAdwnv+7OWp/xqGEjuWUza/01bK/jTUd47QePvtO3bPogSbPJI750nLVV6Rp/YxByQkGwHMoXUCCvfXf5zoyTjir3rObtmP1AUWqE1tMk6m2NEOZTTiLK1obVKQmrGgdP2IBfIqfCIAHpefV6uwfva1Oo/ebjtJk0bqgNs3qp8V/8srNwy09ecnNuuGF6cppX9XgMyM1IdWVpWvts4O1+okzHMoHwCsoXYDHZBTU6Mz/WqhuZ+42HaXJorVBbZ7dV+/99kzTUZrEjgf0zDXX6+rHZ8gK2GrVrVzSRzN2Fftyjz5vx9s9tPzvzh2YC8BbKF2Axwy/c6V6Tt1hOkaTRWuD2vJ6Hy38zSTTUZolHg3quRuvU1pOnS7+31clSWW7W2ne/5xjOBkAr6B0AR6S07FC2W0bXuJyq9Kd+Xr3V5NNx2ix+sp0vXjnVaZjAPAgjowAPKTfpZvU85wdpmM0WaQ6pIOr2puOAQBGMdMFeER+jxIV9CoxHaPJIjUhbXhxgJb8ZbzpKABgFKUL8ID8HiUade/7ntvLFa0Lau0zg9lcDgBieRHwhA7DD3iucElSpDpM4QKAj1G6AJcr6F2sbpN3mY7RZLH6gFY9Osx0DABwDZYXARcr6FWssV9dqq4T9piO0iTxqKXFfxrPLXAA4BiULsDFcjtVeK5w2XHpnV+cpS2z+5qOAgCuQukCXKqgV7GG3b7KdIwmsW3pzf93nna+3cN0FABwHUoX4EKtupXqrP9+R20HFZmO0jS2KFwAcApspAdcKJwd8Vzhsm3p5XsvMx0DAFyL0gW4TG7nck396TzTMZrl0Op2piMAgGuxvAi4SFbbKl3yt1eU08F791d89vrrTEcAAFdjpgtwkUAo7snCJUnle/IkWaZjAIBrUboAl8goqNFVj75gOgYAIElYXgRcIC2nTjfMmK5wZtR0FABAklC6AMOC6VHdMvsJBcNx01EAAEnE8iLgAn4oXPcsfECSbToGALgWpQswyArGdef8h03HSAgrIN3z3gOSRfECgJOhdAHG2AqE4rJ89IE/KyDd/e6DpmMAgCtRugAjbIUyo7rr7YdNB0mKYDofCACAz6J0AQak5dbrjrceMR0jKQJBW7fNecx0DABwHUoXYMBtrz/mq2VFAMDpUboAh+V2KjcdAQBgAKULcNh1zzwri795AJBy+NEPOKjNgMOmIwAADKF0AQ7pMGK/LvvnywqE/H+OlRWw1WHEftMxAMBVKF2AQ6bd94aCad4/eb4xguG4zv/dHNMxAMBVKF2AA3pM3a5gOGY6BgDAIG54DSRZn4s2a+K331Mog9IFAKmMmS4gyUZ94X2lZUdMxwAAGEbpApJoyI2rlZ5bZzoGAMAFKF1AEvW/YqPScpjlAgBQuoCkGfm595Xdtsp0DACAS1C6gCQY/cVlGnzD2pSe5QqlR3X2D+ebjgEArkHpApKg/RkHlZ5bbzqGUYGQrS4T9piOAQCuQekCEmzc1xerdf8jpmMAAFyG0gUkWKtuZRwR8bH0vDpd9JdXTccAAFegdAEJNP4bi9Rp9D7TMVwjELTVqluZ6RgA4AqULiCBMgtqOHn+M7LaVuvSf7xsOgYAGEfpAhJk/H8uUo+pO0zHcJ1A0FZGfq3pGABgHKULSJBQRlTBcNx0DACAS1G6gAQY8+Wl6n/5RtMxAAAuRukCWsyWFbBl8bfplFp1K9OVD79gOgYAGMXbBNBCI+7+QENvWW06RqPZtmQ7vApqWZIsZ8cEALehdAEtYAXiH81yeahQ1JWl66nLbzIdAwBSDqULaIFB163TyM99YDpG01gfbfoHADiL0gU0UyAc82R5yWhVp+ufe9Z0DABIOZQuoJn6XLBFY7603HQMAIBHULqAZghlRpRZWGM6RqPYtlS2O890DABIeZQuoBm6TtitMV/2zizXczdcazoCAKQ8ShfQRGm5dWrVnZs4N1U4M6KC3sWmYwCAMZQuoInaDT6k0fe+bzrGae1Z0lm7F3XRnsVdTEeRJLXqVq6J337PdAwAMCZkOgDgJemtatV+2EHTMRplzrfPVzwSlPTReWIAALMoXUAT5Pco1Yi7VpqO0ST9Lt0oK2CbjgEAKY/SBfjY4OvXaPw3FrvixPyakgxtf6un6RgAYAx7uoBGyiysVr9LNpmO0SirHj1DdszSuP9Y4orCJUlVh7K17tnBpmMAgDGULqCRMlvXqP/l3ihdKx8ertFfWi7LYlkRANyC0gX4zOI/jVOsPqghN6yRxd9wAHANfiQDjZDZulpjv7LUdIxG2Ty7r+LRoOkYAIDPoHQBjRDOiqjL+L2mY5zW2z89S5GqsOkYAICToHQBPrJ3WWdmuQDApTgyAjiNzMJqTbvvDdMxGuXCP72mePSj/5cKhDgQFQDchNIFnEYgFFdBz1LTMRqlsHeJ6QgAgFNgeRFoQFpunS5/4CXTMTyvfE+uXv/GBaZjAIBRlC6gAVbAVnbbatMxPC8eC6imOMt0DAAwitIFAADgAEoXcArhrHrd/PKTpmMAAHyC0gU0IJjGJwABAIlB6QJOIpgW1e1zHzUdwxcqD2TruRuuNR0DAIyjdAGnYFmmE/gJ30wAoHQBJ7AVTIuZDgEA8BlKF/AZVsDW7W8+ZjqGL9i2FKnmXpAAIFG6ACRRbWmGnr+Z/VwAIFG6gM+wld2+ynQIAIAPUbqAz7jxhemmIwAAfIjSBSAp4jFLxVsKTccAANegdAHH6DDigOkIvhGtDWn21y42HQMAXIPSBRxl65L7XzEdAgDgU5QuAAAAB1C6gI/1v2Kj6Qi+EY9Z2vRyP9MxAMBVKF3Ax878r4Xc+idB4tGAFv9pgukYAOAqlC5A0oh7VsiybNMxAAA+RukCJA2/c6Us/jYAAJKItxkAAAAHULqQ8qb8ZJ4CwbjpGL4Rj1ma9z9TTccAANehdCHldT9rJ0uLCbbznR6mIwCA6/BWg5R2wR9fUzAtZjoGACAFULqQ0toOOqxAkE8tJoptSy/cfpXpGADgSpQuAIljSyVbuck1AJwMpQsp68pHXlB6bp3pGACAFEHpQsrKLKxhA30C2bb0+IW3mo4BAK7FWw6AhKkrTzcdAQBci9IFAADgAEoXUtJ1zzyjrDbVpmP4yoOT7pbEHcMB4FQoXUhJVsCWRT9IKDvONxQAGkLpAgAAcAClCwAAwAGULqSccFa9rACn0CdSXUWa6QgA4HqULqScS/8xS7mdKk3H8JUnLrpFstnTBQANoXQBAAA4gNIFoEVKtuebjgAAnkDpAtAiM++6QvFo0HQMAHA9ShdSSpsBhxXOipiO4Rv7P+jA+VwA0EiULqSUCd9apLzOFaZj+MYb/zVNsfqQ6RgA4AmULgAAAAdQugAAABxA6QLQLGufHaRYPRvoAaCxKF1IGf0u26icDhyKmigrHx6uWB37uQCgsShdSBm9p21Vdttq0zEAACmK0gWgyRb/eZzqK7nfIgA0BaULQJPtfLs7S4sA0ESULgBNsuCXk1RdlGU6BgB4DqULQJMcWtuOA1EBoBkoXQAabd4Pp6hsVyvTMQDAkyhdABqtfG+e4hHO5gKA5qB0IWXM/cG5Ory+jekYAIAURelCyqivSFc8yh/55prznWkqorQCQLPxDgSgUaI1IdlxfmQAQHPxExQAAMABlC6klJc/f5mKtxSYjuE5tm06AQB4H6ULKcaSbVumQ3jOm989T/uWdzIdAwA8jdKFlBOPBpi5aYJ41JIdtyRRVgGgJShdSDkz77pSFXtzTcfwjHd+cZZ2vdvddAwA8DxKF4BTitSEFKvnMFQASARKF4BTWvq/Y7V9bi/TMQDAFyhdAAAADqB0ATip6qJM1ZZmmI4BAL5B6ULKKex7RMG0mOkYrrdm+hCWFgEggShdSCltBx/StN+8oex21aajuFr53lxV7OMTngCQSJQupJTx/7lYuZ0qTcdwvW1v9mKWCwASjNIF4Dgl2/NVtL6N6RgA4DuULqSM7mfvUFZrlhVPZ9/yTtoxv6fpGADgO5QupIxB16xjafE0jmwu1J5FXUzHAABfonQBOOrIptba/V430zEAwJcoXUgJA69ep/wepaZjAABSGKULKaHz2L0cE3Eah9a21frnB5qOAQC+RekCIEmqOpStw+vamY4BAL5F6QKgw+va6P1/jDIdAwB8jdIFQHUV6SrdUWA6BgD4GqULAADAAZQuIMUVbWit+T+eYjoGAPgepQsp4e2fna39KzqYjuFKsUhQtSWZpmMAgO9RupASIlVpikf54/5ZxVsLNPtrF5mOAQApgXchIIXZcUvR2rDpGACQEihdQIoq35OrF++40nQMAEgZlC4gBdm2ZNuW7Dg/AgDAKfzEBVKMbUtVB7P17HXXmY4CACklZDoAAGfVlaXr6StvMh0DAFIOM11ACrFtKVLNxnkAMIHSBaSQaE1I06++0XQMAEhJlC4gRdi2VHUo23QMAEhZlC4gRcSjAT13I5vnAcAUSheQAmxbOrKxtekYAJDSKF2Az9m2tP/9jnrpc1eYjgIAKY3SBaSAV796sekIAJDyKF2Az217o5fpCAAAUboA35v3w6mSLNMxACDlUboAH1v95BDTEQAAH+M2QIBPrfj3CK14YKSY5QIAd2CmC/CplY8Ml2wKFwC4BaULKePDJ85Q+Z5c0zEcsfC+ibJjFC4AcBNKF1LG3iVdVFOSaTpG0r39s7O0YeYA2XH+egOAm7CnC/CReT+aou1ze8qOUbgAwG34yYyU8u6vJ/l6iXH/io6KR4OmYwAAToLShZRSsrVQkZqw6RhJMefb01RT7P/lUwDwKkoX4BOlO/NZVgQAF+MnNOADs79+oSr2+XfZFAD8gI30gMe99o0LtG95Jz6tCAAux09pwOMiVWEKFwB4AD+pkVIu+fssFfYpNh0jYV7/5vk6uLq96RgAgEZgeREpxFYgFJflk4Pa5/7gHO1+r6u4tyIAeAMzXUgZF/1lttoNOWQ6RkLYtmTHLVG4AMA7mOlCSrACccmSL2a54jFLC34xWTvm9TQdBQDQBJQupIRzfzlXncfsMx2jxWKRgBb/abw2v9rPdBQAQBOxvAjfC2VEFAjHTcdIiJUPDdf65weZjgEAaAZmuuBr4ex6Tf7+AnU7c7fpKC0WqQkpUu3PWxgBQCpgpgu+NvqLy9Xr3O2mYyTEuucGac3TQ03HAAA0E6ULvpVRUKOMVrWmYyREXXkaN7MGAI9jeRG+lNWmSqO/tFy9z99mOkqL1Zal68PHz9Cap5jlAgAvY6YLvtT34s3qd8lm0zESYu+SzvrwsWGmYwAAWojSBd/J7VSu/J6lpmMkRPWRTBVtaGM6BgAgAVhehK/kdirXyM+tUN+LtpiO0mLVRzL14WNnsHkeAHyCmS74xtHCdbH3C5ckle7Ip3ABgI8w0wVfyOlYoZGf98cMlyRVF2Vq65zepmMAABKI0gXPy25fqTFfWuaLTypKUk1xhpbdP4Zb/QCAz1C64DmhjIjGfnXp0ceZhTXqec4Oc4ESqLYsXYv+OEHb3mCWCwD8htIFzwmmxTTo2vWmYyRFpCpM4QIAn2IjPeASdRVpWvCryaZjAACShNIFuESsPqh9yzqbjgEASBJKF+ACkeqQXv/GBaZjAACSiD1dgGHRuqBevOtKle3MNx0FAJBElC54Tl1Fup6+6oajj1v3O6Jpv3nTYKIWskXhAoAUwPIivMe2VLk/9+g/u97tprnfP8d0qmaJRy09fdWNpmMAABzATBc8z44FVFeRbjpGk9lx6fELb1V9pfeyAwCajpku+MK+5Z301n9PNR2j0WxbenjqnRQuAEghzHTBH2xLsUjQdIomidUdnzezsFo3vfRUi6/7xCW3qK4so8XXAQAkFjNd8I2db3fX/J+cbTrGadm29OCZd0uyTvi1QMhu8T8AAHeidMFHLMn+aK+UW8Vjlh6cdLfsOH/1ACDV8JMfvrLltb5a9IcJpmOcVCwS0CPn3CE7lty/dsFwTBIzXgDgNpQu+E48GlAs4r4/2k9cdItidafaRmkrlBFNyDg3z3pKma1rFMqMiPIFAO7hvncmoIU2vDhQK/410nSM49SVp8m2T9zD9Ym0nHrdMOOZhI13yytP6s55jygjv1bpebUJuy4AoPn49CJ8KVIdVn1VWGnZEdNRVH0kUzNuuVqRqrRTPMNWVpvqpIx962tPyLalpy6/SbKl6qLspIwDADg9ZrrgS+ueG6x1zw0yHUMV+3P04h1XqrY08xTPsFXQu0TXPv180jJYlnTzy0/phhemK69LmXI7lSdtLADAqVG6gCQp25WnV79ycYOzS1bQ1jVPzHAkTzAc1/XPPasrH3lR+T1LHBkTAPApSheQBMVbCzTnO+erYl+e6SgnSM+t16V/n6X2ZxxQYd8jpuMAQMpgTxd8q2xXK1UeyFZOhypHxy3a0Fpv/+xsle3MP80zbXUZv8eJSCfIyK/TZf+cpYp9OVp435mqLctQ0fq2RrIAQKqgdMG3Nr/ST20GFGnwdescG/PQmrZ673cTVbK18KS/3v3sHQoEPz691ZLO/cVbjmU7mdxOlbrwT6/ryOZCLfzNmTq0pr3RPADgZ5QuIEEOrGqvJX8ep6INp54xmvqTeQplxBxM1Tit+xZr4rff0+I/jdeBlR1NxwEAX2JPF3xt/4qOKt3RKunjHFjZXkv/OlaH17VL+ljJ0mbAEY37+hJ1HLnPdBQA8CVKF3xtx7yeOrwuuXuV9n/QQcvuH+OLpbm2g4o05ivL1Gn0XtNRAMB3KF1AC+1f0VEHP+xgOkbCtBt8WKO/tFwdRzHjBQCJROmC722a1U9FG1sn5dp7l3XSrgXdknJtk9oNPqy2gw6bjgEAvkLpgu/tX9FJlftzEn7dfe931NK/jm1w4zwAAJ+gdAHNcGBVey3+43gd2dTGdJSk6XfJJnWduMt0DADwDUoXUsLyf4zW4fWJK0jVRVkq3pKcJUu3yO9RppyOlaZjAIBvULqQEkq3F6i+Ii0h1zr4YTst/d+xCbkWACB1ULqAJqqvSlPl/lzTMRwx4u4P1G3yTtMxAMAXKF1AExxe10Zv/+Rs0zEck9W6Rmk59aZjAIAvULqQMuZ+/9wW7esq3lqg2V+/SLWlmQlMBQBIFdx7ESmjvjJd8Wjz/j+jbHeeXrrnckVrwwlOBQBIFcx0AY1hi8IFAGgRShdSyqx7L1XxloImvabyYLaeu/HaJCUCAKQKShdSih0PyLYt2XYjn29Lsj96HQAALcE7CVLOC7ddpYq9pz/ywbalmuJMPX3ljQ6kAgD4HaULKchSLBJscLbLtqXa0gw9ecktkizHkgEA/IvShZT0/E3Xqroo65S/HqsP6omLbnUwEQDA7yhdAAAADqB0AQAAOIDSBQAA4ABOpEfKKt5SqJojJ7+lTywSdDgNAMDvKF1IWa9/40LTEQAAKYTlRQAAAAdQugAAABxA6QIAAHAApQtAg7pO2K28LmWmYwCA57GRHkCDep+/TVbAVtmuVke/tvqpoaqvSDeYCgC8h9IF4LR6nbf9uMebZvWjdAFAE7G8CAAA4ABKFwAAgAMoXQAAAA6gdAEAADiA0gUAAOAAShcAAIADKF0AAAAOoHQBAAA4gNIFAADgAEoXAACAA7gNEIDTsm3TCQDA+yhdABpk29Ib/zVNuxZ0Mx0FADyN0gXglOIxS2//9GztWtDddBQA8DxKF4CTikUCeu93E7X19T6mowCAL1C6AJwgWhfUsvvHaOPMAaajAIBvULoAB9UUZyqYFvv0C5aU1brGXKCTiNSEtPLh4Vo7fYjpKADgK5QuwEHTr77xuMdWMK7rnnlWVsBWbsdKQ6k+FakOafWTQ7XqkeGmowCA71C6AIPsWEDPXHODwln1uuxfLysYjqlVt3IjWeqrwlr37CCt+PcoI+MDgN9RugAXiFSnacYt1yizdbWm3feGJCktu175PcocGDukku0F2r+io5b/35ikjwcAqYrSBeV0rFBe55PPrhxa007R2rDDiVJXzZEsvXTPFZKkwr5HNO7rSyRJ2W2rklLAItUhbZrVT4v+MDHh1wYAHI/SBfW5cItG3/v+SX/tuZuuUen2AocTQZKKN7fW7K9dLEkacOV6TfrewoSPUb43j8IFAA7h3osAAAAOoHQBAAA4gOVFNKj/5Ru14t8jFalKMx0lpR3Z1ForHxmW8OvWHMlM+DUBACdH6Upx7YYeVOexe0/560NvWqO1zwymdBl2eF07HV7XznQMAEALsLyYwtoNOaixX1mqjiMONPi8UZ9/X+HseodSAQDgT5SuFNVm4GGN+48l6jD84Gmf2/fiLTrrB+8olBFxIBkAAP5E6UpROR0q1X7ooUY/v+c5O3TuL+cqEI6d/skAAOAElC40WteJe2QFbNMxAADwJEpXCmo7+JDGfHlZs1576f/NkhWMJzgRAAD+x6cXU0zrfkU65+dvKbdjZbNe33Zgka5+bIZs29KMW66WZCU2IAAAPkXpSiH5PUp0wR9eV1abmhZdp6BXqWxWGQEAaBKWF1NIIBRvceE61s2znkzYtQAA8DtKF5rFsqTM1jW6ZfbjpqMAAOAJLC+miLwuZbr8gZcSek3LkjLya3Xn/IdO+LWijW00697LEjoeAABeRulKFZYUSk/8GVuWJYUyTrxu+zMO6u53Hzj6eMPMAXrvt2cmfHwAALyC5UUkhWVJgZB99J+BV6/X2K8ukcQOfABAaqJ0pQTb+KGmliUNvWW1RtzzgdEcAACYQunyPVu5nSp03fTnTAeRZUlWwJYV4HBVAEDqoXT5mq3s9lW6YcYzpoMcNez2VRpw1QbTMQAAcByly8fCWRHdNPNp0zGOs/Lh4Vr//CDTMQAAcBylC46JVIcUqQqbjgEAgBGULiRcLBJQ2e48VR3KOu7r62cM1JqnhxpKBQCAWZQuJFz5njw9e931mvejqUe/VluWruqirAZeBQCAv3E4KpImUhXWgVXtJUm7FnRjlgsAkNIoXUiaI5uSfyugcFa92p9xsFHPPby+rerKMpKaBwCAU6F0IaEiNSHtXdLZsfFyO1Xowj+93qjnrnhghEq2FkiSdi/qqmgNm/oBAM6hdCGhaksztPhPExwZK5xVr+5n72z080cecxr+0r+NUW1phra81kfxSDAZ8QAAOA6ly48sW4OvX6tgWuJvcO0mGQW1GvX5Fc167divLJMkZRbWKFob0rpnB8mO87kSAEDyULp8ZsTdK2QFbI38nPP3OIzUhLR2+mDHx22JMV9aLklKz6uTHbP0wYMjJFlmQwEAfInS5TMjP79ClqHOEK0JOfYJxXBWvYbfsTJh1/tk6TEtp15L/jI+YdcFAOATlC54Uigzqv6Xb0r4dYfctEbhrMjRx5GasJb8mRIGAGg5SpePTP3pW6YjeJ5lSQOu3Hj0cW1pOqULAJAQ7Bz2kZ7nbje2tAgAABpG6YLnhLPqNe03b5iOAQBAk1C6fOLyB2bKCtjGxo9Uh/Tq1y52ZKxAKK52Qw47MhYAAIlC6fKJ1n2PGF1ajMcCKtlaaC4AAAAux0Z6j7vqsRlKz61TIBw3HQUAADSA0uVx2W2rlJFfZzRDtC6oZ6693pGxQhkRXffMs46MBQBAIrG86GHXTn9W6a3MFi5Jki3VlWU4NpzpkgkAQHNQujwsnBUxfkREPGrp0Wm3mw0BAIAHULrQYvFI0HQEAABcj9KFFrFt56baAqGY7pj3iGPjAQCQSJQuj7IC5j+taMelhybf5eiYppdTAQBoLkqXR107/Tllt602HUMSLQgAgMbgyAjgGLYtRarDRx8f++8AALQEpcuD0nLrFAiaXV60bam21LljIiRbGfm1joz06Ll3ODIOACC1sLzoQZfc/4pyO1WajqEnLr7FsbGsgK2bZz2V9HEqD+QkfQwAQGqidHlMTocKBdNipmP4km1L06+6wXQMAIBPUbo8ZurP5im/e5npGAAAoIkoXR5S0LtYadn1pmMYYKvD8ANJH+XAyg5JHwMAkLooXR4y7utLVNCr1HQMSdLu97o6Ot7Ff3s16WO8+pWLxREYAIBkoXShWeZ8+3xRUAAAaDxKF5psw8z+ku3ceAOu3ODcYAAAJAnndHlEt8k7lduxwnQMrXl6sJb8ZZycnOU687sLuf0PAMDzmOnyiL4Xb1arbuWmY2jZ38fIjvvvj82Kf49w9ObdAIDU4793T6AZVj48XKJ0AQCSiNIFV5v8/XdMRwAAICEoXR4w6Nq1ajfkkOkYmv+TsxWPOPtHpu8lm9nPBQDwBUqXB7QZWKTsttWmY2jXgm6+3M8FAIATeAdFynv1qxcpHuOvAgAguXingWtd8dCLsgLJPxDs0Jp2bKIHACQdpcvlRtyzQj2m7DAdQy997jLVV6U5OmZBr5Kk7+d68c4rFK3juDoAQPLxbuNyGfm1SsuOGM0w8+7LdXh9W0dng66d/qyCabGkj1OxL5dZLgCAI5jpwmnVlGQ6Xkyy2lTzqUUAgK9QutCgF++8QpUHchwd84YXnlY4K/mze89ce53qytOTPg4AABKlC6cRrQs5PssVyog6MssVrQ3JyXtIAgBSG6XLxUbdu1yDrl1nOobDkv9pRUmynRkGAICjKF0uZlm20X1Ndtz5MW+c+bQy8muTPs4z116v6qKspI8DAMAnKF04pZc+d7lKtxc4Np4V/KjlOVc0WVoEADiHIyNcygrGZQVTZw0smBbV1U/MUE77KtNRAABICma6XGrozas17LYPjY0fqQ45emucy/71slp1LXdkrPqqsOw4s1wAAGdRunBSc759vo5sbOPIWOl5tQoEndtANuveS1W5P9ex8QAAkChdOInqI5mO3hpn2n1vqLBPiWPjAQBgAqULJ3j3V5N0eG07R8bK6VChUEbUkbEkqXxvLvdaBAAYQelyoYyCGuW0rzQdwxFnfneh2gw44th48380ReW7Wzk2HgAAn6B0uVDPc7Zr0LXrTcdIuoJexcpolfwzuT5RtLG16ivTHBsPAIBjsc6C4xRtaK2a4sykj9O6X5EmfGuR2g4qSvpYn1j6v2NVusO5c8cAADgWM104zuonh+rwuuTv5xp03Tp1GHYw6eMAAOAWlC44rv2wA8rvUeromLvf66KqQ9mOjgkAwLEoXThq96IuKnHgtj89p25X+6GHkj7OsTbMHKCynfmOjgkAwLEoXS7Tul+Ruk/eaWTsnW93V/Hm1kkdo9OYvWp/BsuKAIDUQ+lymfyepeoyfq/j4+54u7sOrOqQ9HE6DDvg6OZ5Sdr8ah8Vby50dEwAAD6L0gVJ0qHV7VSa5KXFrhN3qfvZzs/i7V3WWRX78hwfFwCAY1G64Jj8nqVq3bfYdAwAAIygdEFbXuutbW/2SuoYXSfu0oArNyR1jJNZ+8wg7V3a2fFxAQD4LA5HhSr25aryQG7Srt957B5N/PZ7yu3k/K2Nyna1Us2RLMfHBQDgs5jpQtKl59UZKVxrnh6srXN6Oz4uAAAnQ+lKcZtm9dXqp4Ym7fqdRu/VhG8tStr1G1JTnKm68gwjYwMA8FmUrhRXX5Wm+or0pF0/mB5TZoFzN7X+xJrpg7X2mcGOjwsAwKlQuuBL0dqQorVh0zEAADiK0oWkaT/sgM771ZumYwAA4AqUrhS26ZW+WvLncUm7vhWwFUyLJ+36p7Lu+YF6/x+jHB8XAICGULpcpNvknZry4/mOjGXbkh23ZMeT80egzYDDuuT+V5Jy7YYk+/cFAEBz8c7kIpZly7KcGWvHvB5a8IvJSbq6LSvg3O/lWFte66NFv5/g/MAAAJwGpSulJacV5fco1RUPvpSUazfEjkvxaEDJ+n0BANASlC4klmUrlBE1MvTOd7prwS/OMjI2AACnQ+lKQbFIQJHqJBynYNkq7F2sKx+emfhrAwDgcZSuFLT//Y565+dnJ/y6Gfm1uvrxFxJ+3caI1QdUV568Q14BAGgpShcSw7KV17nc2PAHVnbQgl+ytAgAcC9KF1rOstV+6EFd/u+XjQwfqQmpfG+ekbEBAGgsSleKqa8Kq2RbQUKvGUyL6bJ/zkroNRsrUhPS1td7a+FvJhkZHwCAxqJ0pZjiLYVa8pfxibugZavz2L2Ju14Tle/J07u/TtZ5YwAAJE7IdAB4ma1e527TOT+fZ2T0SHVIe5d2NjI2AABNxUxXCqktS9fuhV0Td0FLxgqXJNUUZ2rpX5N370gAABKJ0pVCqg5la9WjwxN0NVuDr1+boGs1XaQmpE2v9DM2PgAATcXyIpplxN0faOTnVxgbP1IV1sqHRhgbHwCApqJ0pYiakgytfnJoQq419qtLNPSW1UZuaC1J0dqgVvx7pJnBAQBoJkqXS7TqXqqB16xP2vXrK9K0ZXbfFl9n4rcXauDV640VLkmK1oW04cWB5gIAANAMlC6XyG5bpS7jzB29cDpnfvddpeXUq+c522UZ3AkYqw9owS85IgIA4D2ULpzW5B+8oz4XbFEwLW46iuKxgHa+3cN0DAAAmozShQad/cP56nnudncUrqil1/7jQtMxAABoFkoXTmrS9xaozcAi5fcoVSg9ZjqOJMm2LR38sIPpGAAANAulCyeY+J2F6nPhFoUy3FG2JMmOSzNuudp0DAAAmo3SheNM+OZ76nfJJncVLlt6+qobVXUwx3QUAACajRPpU0DV4Sy99LnLG/Xc9FZ1ripcn6g6mG06AgAALULpSgW2VFeecdqnjf/PRep17jYHAjXNo+fdLsngwWAAACQAy4uQJI3+4jINum6dAkHbdJTjPDz1DkVr+GMKAPA+3s2gYXes1LDbVxk99PRUYnVBMcsFAPADSleKG3z9Go3+4nKjt/U5lYfOulN23IXBAABoBhfObcAxli0rYLuycMVjn4RyYTgAAJqBmS6fs20pVh884etWIK7+l2/U+P9cYiBVw2L1AT1+4a2K1fPHEwDgHy5+V7MVzoo4P6ptKVoTdnzcZKkrS9cz195w9LEViCuUEVX3s3Zq0vcWGkx2ak9dfpMi1WmmYwAAkFCuLV2BcFx3vPWo4+NW7M/R9KtudHzcZLECttLzao8eGdFuyCFd9s9ZhlOdWm1ZumybJUUAgP+wp8vn0vPqdfXjMyRJgVBMmYU1hhOdWnVRpmbccrXqyk5/phgAAF7j2pkuJI4VtNWqe6nyu5fqvF/PNR3nlGZ96VJVF3HyPADAnyhdnxEMx9S6f9Fpn1d5IMczMzJZrWt03fTnTMdoUOmOVifd8A8AgF9Quj4jq02NrnrkxdM+b9VjZ2j3e11VsrWgUbfYwakd2VSouT84lxtaAwB8jT1dzTTstg916d9f0aDr1qnrxF0KZ9ebjuRZ7/1+osp3tzIdAwCApKJ0tdCoz6/QBX+Yo0HXrlM4q/nFq6Y4UwdWtk9gMm/Yv6KDakuZKQQA+B+lK0HGfGm5stpUN/v1JdsKtfrJoQlM5A2rHh2msp35pmMAAJB0lC4Ys3NBN1XsyzUdAwAAR1C6EmjwDWuVllNnOoYn7JjfXcv+NkZlu/JNRwEAwBGUrgQadM16hbObf+ui4q2F2jy7TwITudeud7updEeB6RgAADiG0uUiFXvztGdxF9Mxkm7rnF46sKqD6RgAADiK0uUyB1Z20IaZ/U3HSJptb/bU+/8cxRERAICUQ+lymaqDOTqyqbXpGElTsr1A5XsoXACA1EPpcqEd83po3fMDTcdIuC2v99aml/uZjgEAgBHcBsiFaoqzVHnAX7fE2f5WDy35yzjVHMkyHQUAACMoXUi6XQu7auF9Z6q2NNN0FAAAjGF5EUkXqQ5TuAAAKY/S5VJrpw/W6qeGmI7RYnsWd9aCX042HQMAAOMoXS4Vqw8pVhc0HaPF4tGAojVh0zEAADCO0oWk2f9BB73x3WmmYwAA4AqUrgR67sZrVHUwO2HXW/5/o7XuOW8eHWHbkmzJjvFHDAAAidKVUHbckmQl8IqWbDuR13OGbUtF69volS9fYjoKAACuwZERCRKPeq8cJUvpjnzNvPtK0zEAAHAVV5euaO0xG8ktKZQeMxfmNGbec4XKduWbjmGcbcsXHwAAACDRXFu64pGgHp5y19HHuZ3LddWjLygtO2IwlbOCaVEF09xbNE+m8kCOXrzzKtMxAABwHc/s6arYm6dZ915qOsZJ1ZalKx5N/LdyxN0faMAVGxN+3WSx41JtaYbpGAAAuJJnSpebvfnd81SytTCh10zLqVNaTn1Cr5lMdlwq2tBGM++60nQUAABcyVOlK1oXUvneXNMxjlOxP0fR2sSv0g64aoMGXbs+4ddNBjsuHVrbjs3zAAA0wFOlq3x3K83/8RTTMY6z8L4zVbShbUKvmVFQo5z2lQm9ZjLF6oN6+fOXm44BAICreap0pYqe52z3ziyXLe1f0dF0DAAAXM9zpauuPF0HV7czHUOSdHh9G9UUZyb0mtntKlXYpzih10wmO2bp9W9eaDoGAACu57nSVbYzXyv+NdJ0DEnS6ieG6sjGNgm7Xna7Sg2/c6UGXrUhYddMJtuWtrzex3QMAAA8wbXndLndvuUdVba7VcKul92uUsPv8lbhWvfcIC36/UTTUQAA8ATPzXRJUsW+XO2Y391ohi2v90noLFerbmWeKVyS9OFjZ2jR7yeYjgEAgGd4snSV72mlZfeP0fa3epiOkhDZ7SrV/3LvHIIqScv+PkaJvbk3AAD+5snSJUllu/K1a2E3I2Nvn9dDhxK0mT+rTZXG/ccS9T5/W0KuBwAA3MmzpUuSDqzsoM2znd/IfXBVe5XuKGjxdTLyazTpe++q17nbE5AKAAC4mac30lfszdOKf42UZdnqc+FW03GaLJwVUbdJu03HaJZpv3njhK/VV6bp7Z9OcT4MAAAe4OnSJUkV+/K0/B+jZQVt9Z6W/CW6za/20fZ5PVt8nfS8Wk358fyWBzKk+1m7TvhaLBJQVttqSVLZrlZ677dnOh0LAADX8nzpkqTK/bla+texWvPUEI38/Ap1nbAnKeNsea23lv19jKoPZ7f4WoFwXO3POJSAVO4RDMfVecw+SVK7IYdkWbYW3jfJcCoAANzBF6VLkqoO5ajqUI4W/HKy0nPrNPkHC9Ru8OGEjlF9JCshhSucXa9L7n8lAYncK5wZVZ+Ltqj9sIPas7iLlv51nOlIAAAY5emN9CdTfThbJdsK9cZ/TdORTYUJu+7WN3pp1SPDWnydYHpU1zzxvPK7lyUglbuFM6Mq7F2igVev1+gvLjMdBwAAo3xXuj5RcyRLr371Yj1x8c2qPNCy2akdb3fXu7+epLryjBZdJxCK6cYXnlZOh6oWXcdrwplRDblxjUbcvcJ0FAAAjPHN8uLJfFKSnr/lGlmWffTrt8x+QsFw/LSvP/hhO73+zQsUjwYUrQ0nJFNmYW1CruM1oYyYht+5UrFIUB8+1vIZQwAAvMbXpesTkaq04x4/et7txz0OpUd1w4zpeuKSW477uh23FI8EExPCsnX7m48m5loeFUyLa/S9yxWtCWndc4NNxwEAwFEpUbo+K1YX+szjoB674DbZseSutoYyYkm9vhcEQrbGf2OxItVhbX61n+k4AAA4xrd7uprGSnLhsnXPwgeSeH1vCQRtnfU/76jnudz6CACQOihdSWYF4rrnvQdk8Z0+jmXp43129mmfCwCAH1AFkigQiumudx6icJ3COT+fp26TdkkWxQsA4H/UgSS6fe6jCoQoFA05/3dvqPOYvRQvAIDvUbqSJC23znSERovWBlVblq5YvZk/Dhf95TV1HLFfVuD0x3gAAOBVlK4kyGxdrZtmPqVQuns/rRitC6rqUJaqDmVpxb9H6vELbtOap4coWpugIzKa6JL7X1W7oYcoXgAA30rJIyOS7erHZiicFTUd46Q+KlvZ2rO4ixb9fuJxv7bs/rHKbl+lPhdsNZLtsn/M0qwvXqKDH7aXHef/BwAA/sI7W4Ll9yhRIOTO2ZpoXVDb3uylZ6+7/oTCJUlZbauUbnhZ9NL/e0Xped5ZmgUAoLEoXQnUun+RLv7bq0rPqzcd5QSfFK53fnb2KZ8z4u4P1HXiHgdTnVzbQYdZZgQA+A6lK0HaDT2oafe9oazWNaajnCBaF9TW13s3WLjc5II/zFH3s3byiUYAgK9QuhKg48h9mvLj+cppX2U6yknVlaVrwS/PavA5Bb2LldupwqFEp3fer+cqGHbvBxEAAGgqNtK3QMeR+5TbuULDblulvM7uKSzHitUHtPWN3qd9Xp8Lt6jLuL0OJAIAIDVRupqp05i9GvvVpWrT/4jpKKcUiwS0+smhWv5/Y0xHAQAg5bG82Aydx+7R2K+4u3DFY5ZW/HukpwvXsDtWsa8LAOAblK4m6jx2j8Z8eZnaDHBv4bLj0pK/jNOqR4abjtIiI+/54OObYgMA4H2UribwQuGSJNu2tHb6ENMxAADAMdjT1UgdR+3T2K8uVet+xaajNMi2pXk/nGo6BgAA+AxKVyN0GL5fE76xSIV9SkxHOa053zpfu9/rZjoGAAD4DErXabQbclCTvveu8nuUmY5yWq98+WLtX9HRdAwAAHASlK4GtO5fpCk/nq+8Lu48g+tYM+++XIfXtZVkmY4CAABOgtJ1Cvk9SzTtN28op4M7T5n/rCObW4vCBQCAe/HpxVMIpsU8U7ieveFaxSP8pwQAwM14pz6JvC5luvivr5qO0WhVh7LFLBcAAO7G8uJnZLer1FWPvqBwVtR0lEZ5+qobFK3hPyMAAG7Hu/UxMvJrdP1zzyiYFjcdpVGmX329KvfniFkuAADcj9L1sXB2vW5+5UkFgt647cyz11+rin258nPhenjqHbLj/v39AQBSC6VLtoLpMd3+5qOyPPL+btv6uIx4JHAz2TH//x4BAKkjxTfS2wqmxXTn/Ic9U7jiMUszbr1a5XtamY4CAACaIKVnuoLpMd319sOmYzTJrHsvVcnWQtMxki5WH5Bte6QJAwDQCClbusJZ9bp97qOmYzRJtDaYMnucHr/wVsUjQdMxAABImJRcXkxvVeupPVySVF8Z1uvfvECH17UzHQUAADRDSs503TzrSVkeqpu1Zema/6Mp2r+ik+koAACgmTxUPRKjVbdSWZY3joX4xJI/j9OexV1NxwAAAC2QUqWrsM8RXfXYCwqEvFO6Kg9mq7Ysw3QMRx3ZXJgye9cAAKkjpZYXL7n/FYXSY6ZjNFrFvhwt/vN47V7YzXQUR83+2kWK1oZNxwAAIKFSZqar0+i9CoS8cXufT2yYOUA73+5hOgYAAEiAlCldU3483zM3sZakku35Kt2ebzoGAABIkJRYXux9/haFMjxUuLbla/k/RmvnOz1MRwEAAAmSEjNdo7+4XGk5EdMxGm3/io4sKwIA4DO+L12Drl2rtNx60zEa7cjmQu1KsY3zAACkAl8vLw65cbWG37VS6R4pXcVbC7T0f8dq75IupqMAAIAE83Xp6jVtmzJa1ZmO0Sgl2/O1+I/jtW95Z9NRAABAEvh2eXHk595Xq65lpmM0StnuPL3760lGC9eW2X20ZwmFDwCAZPFt6eow/IDS87yxrFhXnq6DqzoYzVCyrVAV+3KNZgAAwM98WbrGfHmp2gwoMh2jUcr35GrBLyebjiFJ+vCxM1wx23XBH15XKMM7nzYFAKAxfFm6WnUv88QREVWHsvTaNy5UydZC01EkSRX78rTgl5O17/2ORnO0HVQkK+Cd+2MCANAYvitd476+WJ3H7jUd47RqSjL08hcuU/nuVqajHKfqYI7m/XCqDq1payzDzLsvV6SGey8CAPzFd6Urs7BG4Ux3nz5fV5GmGbdcrcoD7txDVXMkS69/6wI9eelNKtuV5/j4FftyJdtyfFwAAJLJV6Vr7NeWqOc5203HaFC0NqjpV9+gmuIs01EaVFeWoeqibM28+wpVHsg2HQcAAM/zTeka9YXlGnLDGgXT4qajnFIsEtDjF96q+op001Earb4yXc/ecJ2qj2Q6Mt6z11+r2tIMR8YCAMBJvjkcNRCOKxBy7+ZrOy49MvUOxaNB01GaLFYX0tNX3Hj08R3zHlEwnPhy+9xN16hsVytJLC0CAPzHF6Vr2B0rdcatH5qO0SDbtjxZuD5xbPaHzrpLkmQFbN397oOyEtCRbFuKRwOicAEA/MoHy4u2LMtOyBt/sti29OCZd5uOkTi2JdmW7FhAD066W3ZcR/9p0mXsT1/34h1Xqny385v2AQBwiudnugZdt06jv/i+6RgN+mgGx5/sWEAPTPycJCmjoEY3v/xko18774dTtf2tXsmKBgCAq3i6dFmBuILhmOkYDYrWBvXw1DuVCstmtSWZenDSPaZjAADgSp4tXYFQTP2v2KhxX19qOsop1VWk6fELb+XMKQAA4N09Xd0m7dKZ33nPdIwGPXnJzbJjnv0WAwCABPJkIwimR5VZWGM6RoMq9uXIZoYLAAB8zJOlq8OwAzrzv9w9yzXj1qsVj3j3iAgAAJBYnitdocyIWnUvMx2jQUUbW8uOM8sFAAA+5bnSVdinWBO/tch0jFM6sKq9Xv3KxYrWhk1HAQAALuKp0hXOrleH4QdMxzilvcs66c3vnqf6Su/cWxEAADjDU6Urt2OFxn5lmekYp/TebyeqttSZG0MDAABv8UzpSsupU6/ztpmOcUrb3uypugpmuAAAwMl5pnRlFNRq+J2rTMc4pVWPDVNtCbNcAADg5DxRusLZ9Rp682rTMU5p/QsDVH04y3QMAADgYp64DVA4K6KBV20wHeOk1j0/UCsfGq6aYkoXAAA4NdfPdIUyI5rwTfceEbHr3W6qLso2HQMAALic60tXMC2mnlN3mI5xUh8+MVRFG9qYjgEAADzA9aXLzYrWt2HzPAAAaBRXl65gelQX/Xm26RgAAAAt5tqN9IFQTFc+/KIKepaajnJS7/9zpHYv6mo6BgAA8AjXli5Zcm3hkqSqw9mKVKWd9NeueOhFZbSqTcg47/9rlLbM7puQawEAAHNcWbqsQFw3zXzKdIxTev9fI7V1Tu9T/npO+0plFiamdKVl1yfkOgAAwCxXli5JCSstibbq0TO06tFhikeCpqMAAAAPcWHpsnXHW4+YDnFSa6YP1vJ/jJYdc/XnDwAAgAu5rnTdteAhBcNx0zFOsPGlflry53Gy4xQuAADQdC5rELYCIfcVLtuWbNsyUrgmfGuR+ly02fFxAQBAYrmmdFmBuO5e+KAsy3SS49m2tO2NXnr3V5Ma9wLLlhL4e7AsyQrYkuzEXRQAADjOFaUrEIrpzvkPKxB0V7Gw49LOd7pr3g/PUWOb1I0vPK3MgsR+CODs/3lHPabsSOg1AQCAs1xRum6b85iCae5bVjywqoPe/O60Jr0mWhuSnYTuGEyLyQq473sEAAAax3jpSsutMx3hpOIxS5GqcJNf99yN16lsV6uEF6+pP52vTqP3JfaiAADAMUZLV2ZhtW54frrCWVGTMU6qeHOh5nz7gma99rkbrlPZzsQXr/RWdQqEYom9KAAAcISjpSurTZXyupQd/eeqx15Qep77TlyPRQKqPJjToms8d+N1KtlWkNDidc7P5qnNgKLEXRAAADjG0XO6zvrvd9Rl/F4nh2yWir25Td7LdTIzbrlGd7/7gKxQ4ppXXtdyRWs//c9Wsq2As8MAAPAA1x2OalqsPqCijW1MxzilKT96+7jHj11wq+rKMgylAQAAjcUUyTFikYC2vdlL8380NWHX3LOkS1I+zQgAALyF0nWM+oo0vf3TKQm95pxvXcC5pgAAgNL1iVgkoK1zepuOAQAAfIrS9bFYXVCL/zTBdAwAAOBTlC5J8ailVY8NMx0DAAD4GKVLUjwa0KpHhift+kv+Oo7N9AAApLiUL112XHrvdxOTOsaap4Yk9foAAMD9KF1xS5tm9TcdAwAA+FxKly7bluZ853zTMQAAQApI6dIlW9qzqKvpFAAAIAWkbOmybenFO680HQMAAKSIlC1dknRkU2tHxrnmqedlWY4MBQAAXCqlS5dT8ruXmo4AAAAMS9nS9eQlN5uOAAAAUkjKlq6akkxJrPkBAABnpGTpeuSc2yWHToi/462H6XYAACA1S1esPiinmlAwLcYmegAAkHql6+Epdygedea3fef8h2QFuekiAABIsdIVj1mybUuOrfdZYpYLAABIkkKmAzjp8QtvVazO27/lWCQgO35Mk2MiDQAAT/B2A3GxcFZ9Uq77ypcu0aE17ZNybQAAkDwps7xYW5bu6KzQTS8/pVB6zLkBAQCAq6VM6Xr+5mtUX5luOgYAAEhRKVG6yvfkyo55f0d75cFsRT2+Jw0AgFTl+3fwku35mv21i1Rbmmk6Sost+MVkFW925ibdAAAgsXw/0/XWD85RdVG26RgAACDF+bp0HVjVXpHqsOPjdhqzV4Fg3PFxAQCAe/m6dC358zhVHsh1fNypP5mnUAafXAQAAJ/ydekCAABwC0oXAACAA3xbujbN6quqQ/7ZQL91Ti+V78kzHQMAADSTb0vX5tl9jXxqccQ9KxTOiiT8utvf6qmKfZQuAAC8ypela+0zg1S6I9/I2P0v28gmegAAcALfHY66ZvpgffjYGao5kmU6CgAAwFG+m+k6vK6tscNQJ3//HWUU1BoZGwAAuJuvSteHjw/V3iWdjY3ffthBhdJZWgQAACfyVemq2Jdr7B6LU3/2lnI7ViTl2sv/b5T2LjNXJgEAQMv5qnSZ1KprmYJpybn1T9WhbEWq0pJybQAA4AzflK4PHhquza/2NR0DAADgpHxTuiJVYUVrnb+5tSSd/7vXVdi32MjYAADAG3xTukw591dvqsuEPQoEbdNRAACAi/midK169AytfnKokbFD6dGkFq5FfxyvzbNZNgUAwOs8fzjq2mcHadn9YyRZjo899advqcuEPUkdw45Zku387w0AACSW92e6bMlE4dLHw1r0IQAA0AieLl12XLLjZlqPFYjLspK7jyses4z9/gAAQGJ5unRtfrWvFv9pgpGxJ33vXfU6b3tSx3j/n6O0fsagpI4BAACc4enSBQAA4BWUrmYIZ9UrmOR7LEZqQorWeP5zDgAA4GOeLV2RmpBqSzOMjD3y8yvU54KtSR1j3bODtPaZIUkdAwAAOMfRqZSK/bkq3lpw9HF+91IFQs3bjL5ncRct/d9xiYrWaBn5NcpoVev4uAAAwNscLV0LfzPpuMfn/+51dRm/p9nFy4SB16xX34u3mI4BAAA8xujy4pxvX6D6yrQmv662LF0lx8yYOSW7faVyO1U4Pi4AAPA+43u6di/qqni08WdR1Zala92zg7Ti36OSmOrkep27Tf0u2Zz0cSr25ahku/OlEgAAJI/x0vX2T6YoVh9s9PPLdrYyUrjyupSpzYAiR8ba/V5XbeF+iwAA+Irx0iVJG14coHjs9LNdtaXp2j6vpwOJTtRx5H71Pn+bkbEBAID3uaJ0LfnL+I9u7HwaVYezteapoQ4kOl5+j5Kk39gaAAD4mytKlyQt/8do2XHTKU6usE+xek7d4chYRRtba+eC7o6MBQAAnOOa0rX6iTP03u8myj7F6RE1JRla9cgwZ0NJKuhVrH6XbnJsvNLt+dq7pItj4wEAAGe4pnRJ0voZg/T2T84+afGqr0jTtjd7O54pp0Oluozf6/i4AADAX1xVuiRpy2t99Ob3zjMdQ5KU37NEI+7+wHQMAADgA64rXZKlXQu6mQ4hScpoVat2Qw47Nt7BD9tp5SPDHRsPAAA4x4Wlyx1adS/Vmd9d6OiYNSWZKuVQVAAAfInSdQqhjKgKepaajgEAAHzC0RteN5Ydt/T0VTcc97V41Ll+mNu5XOf/bo5j4wEAAP9zZemSLFXuzzU2eiAUV3bbakfHPLCyvd752VmOjgkAAJzD8uJnZLer1BUPznR83FgkqPrKdMfHBQAAzqB0fYYVsJWWHTEdAwAA+Ayl6xgZ+TW6/rlnHB/38Lo2eu0/LnR8XAAA4BxK11G2ZEmB0CnuQ5TMkW1Ldpz/FAAA+Bnv9JIkW2m59brl1SdMBwEAAD7l0k8vOiuYHtPtbzxmZGzbdvY4DAAAYAbv9rIVzjS3cb5ka4Fm3XuZsfEBAIAzUr50WUFbt77GsiIAAEiuFC9dtrLbVhkbPR6zVFOSaWx8AADgnBQuXbbyupbrxhenG0tQeSBHs792sbHxAQCAc1K4dEnXPfOs6QgAACBFpGzpajf0kNHxY5GAija0MZoBAAA4J2VL12X/eFmWZW78urJ0vfWDc80FAAAAjkrJ0tVjynbTEQAAQIpJydI19WfzZKXk7xwAAJiSctVj4DXrZAWcv7/isaJ1QW2YOcBoBgAA4KyUK13jvrZEgaDZ0hWrC2rFv0YZzQAAAJyVUqVr1L3LFQjFTccAAAApKKVK16Br1ikQMjzLVR/Qoj9OMJoBAAA4L6VKlxvEYwFtmd3XdAwAAOCwlCldZ/9ovsJZEdMxAABAigqZDuCEc34+V93P3ml8aTEetfTaf1xoNAMAADAjJWa62g46rGDY/AZ627Z08MMOpmMAAAADfF+6pv12jrLaVpuOITsuzbjlatMxAACAIb4uXdN+O0ddxu9xxSyXJJXtyjcdAQAAGOLr0pVZWOOKwmXb0hMX32I6BgAAMMi3pev8372uNgOKTMc4qrY0w3QEAABgkC8/vXjOL+aq68Td3NQaAAC4hu9K19k/nK+e52yXZZlO8qmHJt8lyUWBAACA43w1FzTxOwvV56Itripctv3RKfQAACC1+a4NuKlwSdKDk+6WbJeFAgAAjvNd6XKTWD3fXgAA8BFaQRI9et7tsllaBAAA8lHpCmVEFEqPmo5xVG1puukIAADARXxTukbc84H6XbrZdIyjpl99g2L1vvtwKAAAaCbPtoJwVv1x91TMaFVrMA0AAEDDPFu6Oo/dq/N+Pdd0jJM6srlQdpxPLAIAgE/5ZnnRLQ6taatXvnSJorVh01EAAICLULoSbO4PzlV9JZvoAQDA8ShdCbRrYVdFaz27YgsAAJKI0pVAS/48TnVlGaZjAAAAF6J0Jcjm2X1UV86yIgAAODlKV4KseXqIakszTccAAAAuRelKgLXPDFLVoWzTMQAAgItRuhJg+1s9VVvCLBcAADg1SlcLffDQcJVsLzAdAwAAuBylq4UOftieTywCAIDTonS1wPv/HKlDa9qZjgEAADyA0tUCZbtaqb6CYyIAAMDpUbqaadn9o7VrYTfTMQAAgEdQupqppiRT0Rpuag0AABqH0gUAAOAASlczLP3bGG1+ta/pGAAAwEMoXc0QjwRkx/jWAQCAxguZDuAlti198OAIrXl6iOkoAADAY5iuaYLVTw7Vin+NlGSZjgIAADyG0tVkFC4AANB0lK5GikctxaN8uwAAQPOwp6sRYpGA1s8YqOV/H2M6CgAA8ChK1ynEo5ZqSz+6kfXOd7pr8R8nGE4EAAC8jNJ1ErFIQHsWd9Eb3znfdBQAAOATbFI6iYq9uRQuAACQUJSuz4jVB1S8pdB0DAAA4DMsL34sHrW0/4OOqinO1PwfTTUdBwAA+Ayl62PR2pBmf+1i0zEAAIBPsbwIAADgAEoXAACAAyhdAAAADqB0AQAAOIDS9bFgekxjvrzUdAwAAOBTlK6PBcNx9bt0k+kYAADApyhdAAAADvDsOV0HVnbQq1+96ISvD7t9lTqP3WcgEQAAwKl5tnTVlmZq3/LOJ3y9Yn+uMlrVSpLO+u93VNCr1OFkAAAAJ/Js6TqVir15qtibJ0ma8+3zFcqISpIu/turyiyoNRkNAACkMF/v6arYl6eSbYUq2VaoF++8UvWV4Qafn96qTpf+42WH0gEAgFTi69J1rKqDObLjVoPPCQRtZbercigRAABIJSlTugAAAEyidAEAADjAdxvpG/L4RbeajgAAAFJUSpUuO8bEHgAAMMOybds2HQIAAMDvmPoBAABwAKULAADAAZQuAAAAB1C6AAAAHEDpAgAAcAClCwAAwAGULgAAAAdQugAAABxA6QIAAHDA/wfH3y0RxexyzQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Training over Best Found Hyper-parameters\n",
        "from ultralytics import YOLO\n",
        "import torch\n",
        "torch.cuda.empty_cache()\n",
        "\n",
        "model = YOLO(\"yolov8l-seg.pt\")\n",
        "data_path = \"/content/drive/MyDrive/Repair Project/report/data/3c\"\n",
        "result_path = \"/content/drive/MyDrive/Repair Project/report/results/training/3c\"\n",
        "\n",
        "model.train(\n",
        "    data= data_path + \"/data.yaml\",\n",
        "    project=result_path,\n",
        "    imgsz=800,\n",
        "    epochs=250,\n",
        "    batch=16,\n",
        "    name=\"train_250_800_16\",\n",
        "    device=\"cuda\",\n",
        "    augment=True,\n",
        "    cache=False,\n",
        "    save=True,\n",
        "    save_period=100,\n",
        "    lr0 = 0.01,\n",
        "    momentum= 0.937,\n",
        "    weight_decay= 0.0005,\n",
        "    hsv_h= 0.015,\n",
        "    hsv_s= 0.7,\n",
        "    hsv_v= 0.4,\n",
        "    scale= 0.5,\n",
        "    box= 7.5,\n",
        "    verbose=True,\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OtUF2Nze0A8v",
        "outputId": "53276004-3ed9-4f6d-f191-cb323286d58a"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=True, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/content/drive/MyDrive/Repair Project/report/data/3c/data.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=250, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=800, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8l-seg.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=train_250_800_16, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=/content/drive/MyDrive/Repair Project/report/results/training/3c, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16, save_frames=False, save_json=False, save_period=100, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=segment, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n",
            "Overriding model.yaml nc=80 with nc=3\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1      1856  ultralytics.nn.modules.conv.Conv             [3, 64, 3, 2]                 \n",
            "  1                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
            "  2                  -1  3    279808  ultralytics.nn.modules.block.C2f             [128, 128, 3, True]           \n",
            "  3                  -1  1    295424  ultralytics.nn.modules.conv.Conv             [128, 256, 3, 2]              \n",
            "  4                  -1  6   2101248  ultralytics.nn.modules.block.C2f             [256, 256, 6, True]           \n",
            "  5                  -1  1   1180672  ultralytics.nn.modules.conv.Conv             [256, 512, 3, 2]              \n",
            "  6                  -1  6   8396800  ultralytics.nn.modules.block.C2f             [512, 512, 6, True]           \n",
            "  7                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
            "  8                  -1  3   4461568  ultralytics.nn.modules.block.C2f             [512, 512, 3, True]           \n",
            "  9                  -1  1    656896  ultralytics.nn.modules.block.SPPF            [512, 512, 5]                 \n",
            " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 12                  -1  3   4723712  ultralytics.nn.modules.block.C2f             [1024, 512, 3]                \n",
            " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 15                  -1  3   1247744  ultralytics.nn.modules.block.C2f             [768, 256, 3]                 \n",
            " 16                  -1  1    590336  ultralytics.nn.modules.conv.Conv             [256, 256, 3, 2]              \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 18                  -1  3   4592640  ultralytics.nn.modules.block.C2f             [768, 512, 3]                 \n",
            " 19                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 21                  -1  3   4723712  ultralytics.nn.modules.block.C2f             [1024, 512, 3]                \n",
            " 22        [15, 18, 21]  1   7891321  ultralytics.nn.modules.head.Segment          [3, 32, 256, [256, 512, 512]] \n",
            "YOLOv8l-seg summary: 231 layers, 45,938,361 parameters, 45,938,345 gradients, 220.8 GFLOPs\n",
            "\n",
            "Transferred 651/657 items from pretrained weights\n",
            "Freezing layer 'model.22.dfl.conv.weight'\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.6±0.4 ms, read: 0.2±0.3 MB/s, size: 319.8 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/3c/train/labels... 324 images, 116 backgrounds, 0 corrupt: 100%|██████████| 324/324 [00:37<00:00,  8.59it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/3c/train/labels.cache\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.8±0.1 ms, read: 0.1±0.1 MB/s, size: 109.8 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/3c/val/labels... 40 images, 12 backgrounds, 0 corrupt: 100%|██████████| 40/40 [00:09<00:00,  4.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/3c/val/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Plotting labels to /content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16/labels.jpg... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001429, momentum=0.9) with parameter groups 106 weight(decay=0.0), 117 weight(decay=0.0005), 116 bias(decay=0.0)\n",
            "Image sizes 800 train, 800 val\n",
            "Using 8 dataloader workers\n",
            "Logging results to \u001b[1m/content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16\u001b[0m\n",
            "Starting training for 250 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      1/250      17.3G      1.174      1.982      3.774      1.355          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.06it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.81it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81     0.0922       0.35     0.0828     0.0453     0.0992       0.38     0.0868     0.0465\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      2/250      15.9G      1.122       1.39      2.427      1.281          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.07it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.96it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81     0.0203      0.453     0.0405     0.0176     0.0152      0.384     0.0166    0.00863\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      3/250      16.1G      1.363      1.504      2.358      1.404         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.08it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:03<00:00,  1.54s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81          0          0          0          0          0          0          0          0\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      4/250        16G      1.372      1.479       1.98      1.453         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81     0.0205      0.234     0.0172    0.00915     0.0169      0.112     0.0115    0.00677\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      5/250      15.9G      1.392      1.604      1.867      1.449         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  2.00it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.176      0.181      0.115     0.0602      0.158      0.177      0.099     0.0406\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      6/250      16.1G      1.364      1.527      1.866      1.413         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81    0.00729     0.0606    0.00315   0.000633   6.97e-05    0.00741   3.63e-05    1.8e-05\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      7/250      16.1G      1.334      1.483      1.817       1.39          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.95it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.21      0.706      0.324       0.18      0.218      0.745      0.356      0.205\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      8/250      16.1G      1.282      1.435      1.671      1.336         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.92it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.233       0.24       0.14      0.074      0.279      0.225      0.124     0.0618\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      9/250      15.9G      1.213      1.337      1.534      1.297          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.216      0.602      0.274      0.172      0.237      0.387      0.235      0.127\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     10/250      16.1G      1.214      1.347      1.509      1.296         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.308      0.378      0.303      0.193      0.315      0.368      0.317      0.189\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     11/250      16.1G      1.162      1.271      1.479      1.281         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.377      0.614       0.44      0.265      0.525      0.558      0.498      0.293\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     12/250      16.2G      1.202      1.332      1.459      1.286         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.04it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.446      0.492      0.487      0.232      0.453      0.499      0.473      0.218\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     13/250      15.9G      1.182       1.29      1.456      1.314         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.482      0.412      0.378      0.214       0.47      0.412      0.385      0.228\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     14/250      16.1G      1.184      1.349      1.507      1.296         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.494      0.523      0.446      0.242      0.446      0.501      0.409       0.24\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     15/250      16.1G      1.122      1.358      1.376      1.266         37        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.37      0.689       0.47      0.302      0.396      0.681      0.507      0.312\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     16/250      16.1G       1.11      1.266      1.348      1.263         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.601      0.573      0.618      0.356      0.621      0.575      0.626      0.351\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     17/250      15.9G      1.116      1.239      1.345      1.247         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.548      0.614      0.561      0.344       0.56      0.625      0.617      0.363\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     18/250      16.1G      1.066      1.216      1.264      1.235         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.443       0.67       0.56      0.331      0.662      0.505      0.619      0.368\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     19/250      16.2G      1.028      1.208      1.214      1.174          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.567      0.598      0.616      0.364       0.59      0.635      0.619      0.364\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     20/250      16.1G      1.024      1.222      1.264      1.189         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.519      0.444      0.432      0.272      0.523      0.452      0.448      0.283\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     21/250      15.9G       1.04      1.236      1.282      1.217         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.692      0.542      0.562      0.348      0.726      0.532       0.55      0.347\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     22/250        16G      1.049      1.232      1.342      1.257          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.355      0.587      0.418      0.259      0.386      0.609      0.445      0.267\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     23/250      16.1G      0.988      1.166      1.177      1.209          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.519      0.473      0.489      0.303      0.499      0.448      0.415      0.234\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     24/250        16G      1.069      1.165      1.239      1.225         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.524      0.485      0.516      0.306      0.492      0.475      0.472      0.266\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     25/250      15.9G      1.035      1.261      1.275      1.217          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.429      0.492      0.428      0.284      0.416       0.46      0.417      0.231\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     26/250        16G     0.9423      1.125      1.128      1.166         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.681      0.592      0.643      0.435      0.613      0.738      0.725      0.427\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     27/250      16.1G     0.9632       1.12      1.106      1.178         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.39      0.388      0.393      0.274      0.387      0.362      0.383      0.248\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     28/250      16.1G      1.015      1.198      1.322      1.208          2        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.639      0.606      0.684       0.44      0.622      0.695      0.701      0.477\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     29/250        16G     0.9958      1.115      1.185      1.206         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.524      0.607      0.568      0.369      0.558       0.57      0.583      0.372\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     30/250      16.1G          1       1.14      1.165      1.238          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.639      0.703      0.706      0.441      0.697      0.659      0.732      0.464\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     31/250      16.2G     0.9937      1.218      1.145      1.188         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.598      0.609      0.603      0.368       0.63      0.654      0.646      0.395\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     32/250      16.1G     0.9797      1.222      1.119      1.161         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.609      0.622      0.648      0.436      0.603       0.65      0.677      0.425\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     33/250      15.9G     0.9187      1.066      1.063      1.144          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.67      0.582      0.699      0.499        0.6      0.657      0.716      0.483\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     34/250        16G     0.9747      1.157      1.116      1.182         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.59      0.775      0.712      0.482      0.622      0.774       0.74      0.476\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     35/250        16G     0.9553      1.123      1.111      1.182         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.609      0.705      0.681       0.46      0.665      0.755      0.744      0.486\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     36/250      16.1G      0.924      1.153      1.067      1.164         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.625      0.773      0.752      0.512       0.64      0.735       0.77      0.516\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     37/250      16.4G     0.9106      1.107      1.029      1.144         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.607       0.73      0.736      0.515      0.689      0.735      0.771       0.53\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     38/250        16G     0.9013      1.084      0.987      1.137          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.565       0.65      0.637      0.442      0.595      0.703      0.693      0.462\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     39/250      16.1G     0.9342      1.118      1.028        1.2          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.734      0.749      0.762       0.52      0.734      0.749      0.765       0.51\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     40/250        16G     0.9056      1.095     0.9793      1.136         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.706      0.709       0.73      0.497      0.704      0.765      0.786      0.489\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     41/250      15.9G     0.8668      1.112     0.9606      1.132         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.647      0.685       0.69      0.456      0.672      0.717      0.717      0.461\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     42/250      16.1G     0.9018       1.07     0.9785      1.133         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.718      0.668      0.725      0.479      0.745      0.717      0.757      0.493\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     43/250      16.1G     0.8604      1.075     0.9561      1.136         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.62      0.596      0.588      0.397      0.641      0.614      0.611      0.367\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     44/250      16.1G     0.8487      1.082     0.9157      1.124         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.804      0.617       0.72      0.488      0.851       0.62      0.735      0.428\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     45/250        16G     0.8339     0.9929     0.9055      1.099         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.68      0.668      0.688      0.489      0.727      0.723      0.739      0.481\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     46/250      16.1G     0.8513      1.074     0.8956      1.107         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.81      0.669      0.742      0.523      0.835      0.685      0.772      0.514\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     47/250        16G     0.8415       1.06     0.9281      1.088         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.583      0.711      0.647      0.423      0.633      0.734      0.697      0.476\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     48/250      16.1G     0.8526      1.044     0.8901      1.109         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.652      0.703      0.722      0.495      0.683       0.68      0.755      0.495\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     49/250        16G     0.8647      1.059     0.9534      1.129         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.634      0.672      0.671      0.469      0.692      0.734      0.729       0.47\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     50/250      16.1G     0.8615      1.021     0.8982        1.1         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.725      0.672      0.723      0.507      0.727      0.671       0.74       0.53\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     51/250      16.1G      0.849      1.012     0.8422      1.102         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.738       0.66       0.71      0.468      0.773      0.675      0.737      0.489\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     52/250      16.1G     0.8559      1.081     0.8999      1.115         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.02it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.685      0.623      0.737      0.497      0.807      0.613      0.774      0.505\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     53/250        16G     0.8208      1.042     0.8563      1.097         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.739      0.685      0.701      0.454      0.707      0.676      0.692      0.436\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     54/250      16.1G     0.7999      1.014     0.8593      1.085          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.811      0.653      0.738      0.529      0.844      0.626      0.768      0.527\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     55/250        16G     0.8255       1.04     0.8846      1.094         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.743      0.775      0.799      0.535       0.76       0.79      0.837      0.554\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     56/250      16.1G      0.803      1.036     0.9003      1.095          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.746      0.645      0.724      0.488        0.8      0.689      0.786      0.476\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     57/250      15.9G     0.7975     0.9986      0.823      1.081         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.652      0.734      0.713      0.515      0.663      0.741      0.722      0.517\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     58/250      16.1G     0.7747     0.9919     0.8268       1.06         37        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.721       0.72      0.755       0.51      0.731      0.735      0.777      0.529\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     59/250        16G     0.8006     0.9867     0.8912      1.094          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.684      0.736      0.704      0.473       0.73      0.759      0.761        0.5\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     60/250        16G      0.784     0.9759     0.8465      1.068         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.788      0.563      0.665       0.48      0.595      0.754      0.689      0.478\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     61/250      15.9G     0.7587      1.007     0.7733       1.07          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.811      0.687      0.731      0.524       0.82      0.714      0.786      0.534\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     62/250      16.1G     0.7318     0.9143     0.7307      1.048         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.695      0.673      0.708      0.496      0.735       0.71      0.726       0.51\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     63/250        16G     0.7934     0.9671     0.8497       1.09         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.691       0.74      0.733      0.533       0.71      0.756      0.756      0.504\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     64/250      16.1G      0.768     0.9412     0.8121       1.07         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.704      0.564      0.632       0.48      0.602      0.693      0.659      0.403\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     65/250        16G     0.7537     0.9747     0.8563      1.075          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.612      0.698      0.661      0.473      0.682      0.667      0.712      0.465\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     66/250      16.1G     0.7687     0.9667      0.761      1.091         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.764      0.752      0.786      0.576      0.792      0.762      0.816      0.558\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     67/250      15.9G     0.7569     0.9161     0.8021      1.052         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.634      0.677      0.685      0.498      0.684      0.713      0.768      0.519\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     68/250      16.1G     0.7413     0.9756      0.755      1.056         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.711        0.7      0.702      0.494      0.652      0.838      0.764      0.519\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     69/250      15.9G     0.7899     0.9368     0.7659      1.082          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.715      0.738      0.747      0.535      0.787      0.806      0.826      0.574\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     70/250      16.1G      0.742     0.9516     0.7595      1.055         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.799      0.744      0.802      0.568      0.769       0.79      0.822      0.548\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     71/250      16.1G     0.7438     0.9393     0.7228       1.05         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.739      0.721      0.742      0.521      0.754      0.735      0.787      0.541\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     72/250      16.1G     0.7286     0.8982     0.6969      1.017         27        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.68      0.812      0.725      0.527      0.714      0.878      0.802      0.532\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     73/250      15.9G     0.7215     0.8971     0.7234      1.034          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.66      0.767      0.737      0.549       0.78      0.726      0.769      0.535\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     74/250      16.1G     0.6882     0.8776      0.685      1.021          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.674      0.773      0.777      0.576      0.706      0.789      0.803      0.561\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     75/250      16.1G     0.7133     0.9498     0.7221      1.022         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.647       0.79      0.751      0.541      0.653      0.765      0.764      0.528\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     76/250      16.1G     0.7563     0.9928     0.7184      1.053          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.732      0.861      0.805      0.565      0.774      0.876      0.852      0.569\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     77/250      16.4G     0.7155     0.8752     0.7271      1.051          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.05it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.732      0.751      0.755      0.541      0.758      0.795      0.797      0.547\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     78/250      16.2G     0.7477     0.8937     0.7027      1.055         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.422      0.563      0.488      0.332      0.402      0.483      0.423       0.24\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     79/250      16.1G     0.7384     0.9354     0.7466      1.038          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.788       0.72      0.757      0.553      0.815      0.742      0.796      0.554\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     80/250        16G     0.7027     0.9004     0.7061      1.017         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.758      0.742      0.757      0.558      0.782      0.765      0.797      0.549\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     81/250        16G     0.6791     0.8811     0.6889       1.01         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.718      0.757      0.741      0.527      0.752      0.782      0.782      0.532\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     82/250      16.1G     0.7191     0.8712     0.6929      1.033         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.614      0.686       0.66      0.488      0.648      0.732      0.725      0.503\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     83/250      16.1G     0.7446     0.8957     0.6882      1.028         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.763      0.629      0.679      0.506      0.678      0.751      0.728       0.49\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     84/250      16.1G     0.6939     0.9169     0.6991       1.02          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.743      0.603      0.664      0.453      0.727      0.587      0.656      0.428\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     85/250        16G     0.7169     0.8748     0.6773      1.024         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.703      0.781      0.756      0.531      0.768      0.813      0.841      0.544\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     86/250      16.2G     0.6932     0.8987     0.6644      1.022         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.704      0.636      0.704      0.474      0.714      0.658      0.743      0.457\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     87/250      16.2G     0.6909     0.8566     0.6747      1.029         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.638      0.707      0.683      0.487       0.68      0.757      0.736      0.465\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     88/250        16G     0.7064     0.8794      0.683      1.051          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.756       0.69      0.727      0.523      0.779      0.712      0.759      0.535\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     89/250      15.9G     0.7204     0.8703      0.677      1.037         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.757      0.702      0.759      0.548       0.79      0.733      0.777      0.548\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     90/250        16G     0.6706     0.8815     0.6201      1.006         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.827      0.751       0.79      0.588      0.847      0.772      0.845      0.602\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     91/250      16.1G     0.6422      0.826     0.6011      1.003         19        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.768      0.767      0.801      0.581      0.781      0.782      0.822      0.586\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     92/250      16.1G     0.6419     0.7832     0.6159     0.9888         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.728      0.799      0.795      0.584      0.753      0.824      0.848        0.6\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     93/250        16G     0.6722     0.8562     0.5969      1.009         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.832      0.711       0.81      0.572      0.876      0.733      0.854      0.596\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     94/250        16G     0.6878      0.879     0.6461      1.019         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.802      0.834      0.836      0.582      0.815      0.849      0.848      0.601\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     95/250      16.1G     0.6784     0.8824     0.6685      1.025         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.697      0.839      0.782      0.553      0.724      0.869      0.831      0.542\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     96/250      16.1G     0.6273     0.8133     0.6036     0.9834         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.756      0.827      0.821      0.606      0.786      0.858      0.864       0.61\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     97/250      15.9G      0.653     0.8622     0.6135     0.9977         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.698      0.843      0.811      0.559      0.674      0.857      0.814      0.546\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     98/250        16G     0.6629     0.8591     0.6437      1.009         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.809      0.674      0.757      0.527      0.792      0.711      0.796      0.513\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "     99/250        16G     0.6099     0.8104     0.6122     0.9909         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.733      0.767      0.746      0.541      0.805      0.843      0.809      0.564\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    100/250      16.1G     0.6786     0.8703     0.6423      1.017          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.828      0.713      0.755      0.581      0.837       0.72      0.772      0.542\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    101/250      15.9G      0.636     0.8059     0.6247     0.9942          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.716      0.792       0.74      0.536      0.732      0.832      0.781      0.527\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    102/250      16.1G     0.6215     0.8244     0.5926     0.9942         32        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.675      0.696      0.669      0.485      0.652      0.787      0.743      0.494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    103/250        16G     0.6296     0.8052     0.5529     0.9906         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.706      0.788      0.755      0.542      0.719      0.803      0.796      0.548\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    104/250        16G     0.6312     0.8551      0.554      1.005         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.99it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.812      0.748      0.813      0.585      0.826      0.763      0.832      0.597\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    105/250      15.9G     0.6367     0.8014     0.5746     0.9921          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.833      0.767      0.817      0.583      0.875      0.805      0.867      0.564\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    106/250        16G     0.6381     0.8159     0.5948     0.9947          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.738      0.841      0.802      0.574       0.89      0.804      0.878      0.592\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    107/250      16.1G     0.6323      0.791     0.5838      1.004         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.723      0.757      0.752      0.546      0.741      0.772      0.777      0.523\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    108/250      16.1G     0.6381     0.8074     0.6075      1.013         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.717      0.772      0.735      0.534      0.746      0.794       0.78      0.544\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    109/250      16.4G     0.6651     0.8154     0.5986      1.024         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.764      0.803      0.798      0.543      0.773      0.809      0.815      0.562\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    110/250      16.1G     0.6493     0.8211     0.6136     0.9966          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.869      0.721      0.803      0.578      0.899      0.743       0.85      0.598\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    111/250      16.1G     0.6282     0.8159     0.5786     0.9826         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.734      0.856      0.822      0.623      0.748      0.853       0.85      0.612\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    112/250      16.1G     0.6241     0.7789     0.5977     0.9966          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.798      0.753      0.832      0.621      0.816      0.768      0.846      0.603\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    113/250      15.9G     0.6373     0.8008     0.6044     0.9997         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.784      0.825      0.844      0.624      0.801       0.84      0.863      0.632\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    114/250      16.2G     0.5964     0.8041     0.5835     0.9692          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.733      0.801      0.792      0.599      0.737      0.808      0.798      0.592\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    115/250      16.1G     0.6208      0.787     0.5779     0.9826         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.765      0.689       0.76      0.567      0.765      0.689      0.761      0.562\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    116/250      16.1G     0.6121     0.8037     0.5787      0.969         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.791      0.719      0.755       0.58       0.77      0.766       0.79      0.568\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    117/250      15.9G     0.6248      0.847     0.5528      1.018         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.815      0.726      0.797      0.598      0.834      0.741      0.822      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    118/250      16.1G     0.6365     0.8212     0.5737      1.003          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.801      0.722      0.784      0.574       0.81      0.739      0.811      0.565\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    119/250      15.9G     0.6049     0.8076     0.6184     0.9922         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.826       0.71      0.793      0.598      0.818      0.707      0.802      0.587\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    120/250        16G     0.5967      0.763     0.5698     0.9803         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.753      0.751      0.769      0.568      0.818      0.826      0.835      0.592\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    121/250      16.5G     0.6097     0.7908     0.5864     0.9685         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.743      0.778       0.79      0.577      0.778      0.827      0.831      0.589\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    122/250      16.1G      0.571     0.7604     0.5569     0.9744         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.761      0.795      0.802      0.587      0.814      0.841      0.838      0.605\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    123/250      16.1G     0.5562     0.7253     0.4942     0.9557          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.828      0.774      0.815      0.582      0.863      0.804      0.854      0.607\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    124/250      16.1G     0.5618     0.7277     0.5069     0.9583          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.799      0.789      0.823      0.616      0.812      0.804       0.85      0.622\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    125/250      15.9G     0.6165       0.79     0.5483     0.9724         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.828       0.85      0.863      0.662      0.928      0.809      0.912       0.65\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    126/250      16.1G     0.5726     0.7661     0.5316     0.9696         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.847      0.784      0.817      0.612      0.838      0.776       0.84      0.617\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    127/250      16.1G     0.5976     0.7954     0.5582     0.9768         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.813      0.791      0.815      0.578      0.789      0.808      0.817      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    128/250      16.2G     0.5814     0.7592     0.5377     0.9728         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.731      0.807      0.797      0.595      0.762      0.837      0.852      0.588\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    129/250      16.5G     0.6073     0.7822     0.5824     0.9634          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.782      0.822      0.824      0.608      0.806      0.843      0.869      0.602\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    130/250      16.1G     0.5827     0.7552     0.5618     0.9934         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.768      0.812      0.818      0.604        0.8      0.842      0.869      0.608\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    131/250        16G     0.5697     0.7427     0.5289     0.9687          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.673      0.833      0.801      0.611      0.723      0.901      0.881      0.611\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    132/250        16G      0.578     0.7495     0.5024      0.947          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.792      0.727       0.79      0.611      0.813      0.755      0.833      0.596\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    133/250      15.9G      0.538     0.6965     0.4727     0.9626          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.731      0.727       0.77      0.588      0.766      0.763      0.814      0.576\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    134/250      16.1G     0.5667      0.767     0.4992     0.9859          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.722      0.721      0.756      0.572      0.806      0.671       0.79      0.564\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    135/250        16G     0.5969     0.7568     0.5374     0.9883          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.847       0.75      0.829      0.606       0.83      0.832      0.856      0.591\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    136/250        16G     0.5573      0.726     0.5019     0.9573         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.774      0.788      0.816       0.58      0.788      0.803      0.833      0.556\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    137/250      15.9G     0.5858     0.7446     0.5006     0.9744         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.745      0.802      0.778      0.573      0.766      0.825      0.803      0.588\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    138/250      16.2G      0.534      0.682     0.4582     0.9432         34        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.785      0.784      0.772      0.569       0.81      0.806      0.828      0.586\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    139/250      16.2G     0.5321     0.6929     0.4482     0.9345         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.744      0.685      0.709      0.523      0.782      0.724      0.758      0.515\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    140/250        16G     0.5546     0.7373     0.4968     0.9643         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.801      0.743      0.787      0.589      0.847       0.78      0.822       0.58\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    141/250      16.5G     0.5421     0.7479      0.486     0.9563         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.834      0.769      0.788      0.589       0.85      0.784      0.802      0.589\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    142/250        16G     0.5651     0.7757     0.5347     0.9577          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.818      0.796      0.799      0.602      0.837       0.83      0.837      0.603\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    143/250        16G     0.5354     0.7457     0.5195     0.9599         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.773      0.759       0.78      0.581      0.814      0.787      0.812      0.572\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    144/250        16G     0.5464     0.7208     0.4908     0.9485          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.875      0.714      0.785      0.597      0.831      0.832       0.85      0.614\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    145/250      15.8G     0.5345     0.7112     0.4685     0.9259          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.875      0.795      0.831      0.629      0.899      0.818      0.866      0.633\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    146/250      16.1G     0.5634     0.7171     0.5122     0.9496          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.814      0.771      0.791      0.578      0.831      0.786      0.818      0.585\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    147/250      16.1G     0.5459     0.7395     0.5213     0.9465         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.874      0.732      0.793      0.589      0.887      0.796      0.864      0.598\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    148/250        16G     0.5348     0.6739     0.5014     0.9439          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.84      0.759      0.811      0.587      0.826      0.812      0.838      0.588\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    149/250      15.9G      0.536     0.6811     0.4909     0.9511         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.711      0.787      0.769      0.593      0.768      0.836      0.839      0.579\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    150/250      16.1G     0.5019     0.6601     0.4431     0.9197          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.714      0.807      0.791      0.588      0.762      0.863      0.865      0.604\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    151/250      16.1G     0.5443     0.7186     0.4923     0.9607         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.832      0.741      0.786      0.585      0.856      0.764      0.804      0.579\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    152/250      16.1G     0.5315     0.7334     0.4893     0.9401          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.773      0.787       0.78      0.589      0.814      0.773      0.803      0.583\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    153/250        16G     0.4968     0.7299     0.4498     0.9382          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.815       0.65      0.743      0.562       0.79      0.626      0.719      0.505\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    154/250      16.1G     0.5211      0.766     0.4485     0.9514         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.15it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.802      0.804       0.82      0.622      0.816      0.819      0.851      0.628\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    155/250      16.1G     0.5401     0.7218     0.4686     0.9461          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:01<00:00,  1.98it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.852      0.773      0.832      0.614      0.851      0.789      0.844      0.616\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    156/250      16.1G     0.5234     0.7201     0.4761     0.9466          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.858      0.753      0.832      0.624      0.879      0.789      0.877      0.627\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    157/250      15.9G     0.5327     0.7182     0.4858     0.9371         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.752      0.803       0.83      0.619      0.779      0.859      0.857      0.633\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    158/250      16.1G      0.516     0.6882     0.4742     0.9354          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.854      0.773      0.829      0.619      0.876      0.796       0.87      0.612\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    159/250      16.1G      0.504     0.6868     0.4516     0.9297         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.816      0.793        0.8      0.607      0.809      0.831      0.827      0.596\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    160/250      16.2G      0.487     0.6575     0.4511     0.9146         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.776      0.811      0.793      0.627      0.798      0.859      0.828      0.611\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    161/250      16.5G      0.521      0.742     0.4816     0.9529         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.823      0.798      0.817      0.616      0.841      0.812      0.844      0.606\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    162/250        16G     0.5237     0.6684     0.4488      0.943          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.774      0.885      0.844      0.647      0.796       0.92      0.882      0.633\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    163/250      16.1G     0.4949      0.637     0.4487     0.9223         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.822      0.775      0.794      0.623      0.824      0.847      0.855      0.612\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    164/250      16.1G      0.494     0.6542     0.4252     0.9321         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.751      0.803      0.807       0.63      0.742      0.845      0.828      0.613\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    165/250        16G     0.4844      0.649     0.4157     0.9221         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.795      0.812      0.811      0.609      0.817      0.835       0.85        0.6\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    166/250      16.1G     0.5065     0.7175     0.4721     0.9483         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.835      0.769      0.825      0.646      0.903      0.751      0.843      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    167/250      16.1G     0.4833     0.6918     0.4626     0.9183         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.837      0.776      0.835      0.632      0.853      0.791      0.849      0.622\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    168/250      16.1G     0.4763     0.6805     0.4406     0.9167         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.789      0.739      0.779      0.605       0.82      0.755      0.799      0.579\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    169/250      16.4G     0.4827     0.6788     0.4191     0.9278         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.829      0.787      0.794      0.633      0.848      0.802      0.813      0.605\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    170/250      16.1G     0.4882     0.6727     0.4286     0.9264         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.755      0.807      0.795      0.615       0.78      0.829      0.825      0.621\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    171/250        16G     0.4689     0.6554     0.4383     0.9131         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.806      0.742       0.78       0.62      0.849       0.78       0.84      0.589\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    172/250      16.1G     0.4618     0.6414     0.4388     0.9192         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.844      0.744      0.793      0.619      0.835      0.788      0.839      0.597\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    173/250        16G     0.4662     0.6223     0.4237     0.9178         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.774       0.78      0.796      0.622      0.809      0.814      0.838      0.606\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    174/250        16G     0.4839     0.6377      0.451     0.9344          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.808      0.772       0.82      0.633      0.857      0.796      0.864      0.605\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    175/250        16G     0.4778     0.6709     0.4201     0.9343         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.816      0.788      0.829      0.635      0.854      0.826      0.872      0.631\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    176/250      16.2G     0.4464     0.6355     0.4238       0.91          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.822      0.799      0.823      0.637      0.837      0.814      0.844      0.627\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    177/250        16G     0.4741     0.6586     0.4057     0.9172         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.829      0.765      0.813      0.624      0.863      0.794      0.847      0.615\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    178/250      16.1G     0.4863     0.6708     0.4205     0.9374          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.717      0.848       0.82      0.653      0.752      0.886      0.859      0.646\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    179/250        16G     0.4722     0.6489      0.419     0.9313         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.822      0.769      0.836      0.665       0.91      0.793      0.873      0.651\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    180/250      16.1G     0.4754     0.6436      0.399     0.9252         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.809      0.772      0.845       0.66      0.836      0.813      0.884       0.67\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    181/250        16G     0.4622     0.6511     0.3966     0.9136          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.836      0.775      0.822       0.64      0.841      0.826      0.868       0.64\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    182/250      16.1G     0.4795     0.6705     0.4126     0.9318          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.845      0.783      0.825      0.645      0.863      0.806      0.853      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    183/250      16.1G     0.4556     0.6119      0.401     0.9127         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.826      0.756      0.833      0.657      0.835      0.858       0.88      0.639\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    184/250        16G     0.4506     0.6301     0.3961     0.9056         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.734      0.818      0.823       0.63      0.772      0.833      0.841      0.614\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    185/250      16.4G     0.4511     0.6097     0.3816     0.9117         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.821      0.784      0.823      0.655      0.862      0.856      0.874      0.646\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    186/250        16G     0.4259     0.6102     0.4069     0.8978         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.75      0.813      0.802       0.61      0.792      0.858       0.85      0.596\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    187/250      16.1G     0.4424     0.5858     0.3627     0.9061         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.815      0.759      0.811      0.608      0.849      0.807      0.845      0.597\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    188/250        16G     0.4448     0.5761     0.3964     0.9109         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.859      0.749      0.819       0.63      0.861      0.825      0.845      0.603\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    189/250      15.9G     0.4491     0.6388     0.3938     0.9225         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.733      0.772      0.799      0.624       0.78      0.817      0.835      0.608\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    190/250      16.1G     0.4212     0.5905      0.377     0.8867          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.805       0.79      0.817      0.644      0.834       0.82      0.852      0.636\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    191/250      16.1G     0.4516     0.6588     0.3921     0.9064         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.783       0.82      0.829      0.654      0.835      0.832      0.873      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    192/250        16G     0.4401     0.6079     0.3984     0.8996          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.827      0.847      0.871      0.681      0.855      0.877      0.905       0.68\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    193/250      15.9G     0.4403     0.6481     0.3904     0.9113         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.829      0.834      0.855      0.657      0.843      0.848      0.879      0.654\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    194/250      16.2G     0.4132     0.6075     0.3751     0.8931          7        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.15it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.77      0.807      0.842       0.66      0.799      0.837      0.868      0.657\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    195/250        16G      0.431      0.648     0.3757     0.9013         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.854      0.735      0.826      0.656      0.888      0.764      0.849      0.625\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    196/250      16.1G     0.4392     0.6425     0.3911     0.9117          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.844      0.796      0.835      0.644       0.86      0.812      0.863      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    197/250      15.9G     0.4226     0.6288     0.4081     0.9121         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.799      0.806      0.825      0.638      0.837      0.842      0.865      0.621\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    198/250        16G     0.4294     0.5937     0.3852      0.915         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.791      0.802      0.853       0.67      0.808      0.817      0.881      0.649\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    199/250      16.1G     0.4417     0.6494     0.3946     0.9144         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.86      0.776       0.85      0.654      0.878      0.791      0.875      0.647\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    200/250        16G      0.427     0.6305     0.3914     0.9074         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.874       0.81      0.832       0.65      0.886      0.833      0.874      0.633\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    201/250        16G     0.4323     0.6041      0.414     0.9081         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.881      0.779      0.846      0.652      0.886      0.825      0.886      0.624\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    202/250        16G     0.4018     0.5974     0.3587     0.8989         29        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.854      0.801      0.836       0.65      0.881      0.834       0.87      0.629\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    203/250        16G      0.403     0.5756     0.3506       0.89         15        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.887      0.778      0.853      0.679      0.923      0.808      0.883      0.657\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    204/250        16G     0.3891     0.5746     0.3367      0.883         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.892      0.797      0.849      0.674      0.875      0.847      0.879      0.668\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    205/250      16.4G      0.399     0.5594     0.3613     0.8954          5        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.847      0.829      0.829      0.646      0.883      0.858      0.871      0.657\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    206/250        16G     0.3981     0.6038      0.353      0.896         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.16it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.838      0.812      0.837      0.658      0.875      0.842      0.875      0.648\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    207/250        16G     0.4005     0.5789     0.3473     0.8988         21        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.832      0.864      0.841      0.665      0.865      0.892      0.882      0.635\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    208/250      16.1G     0.4064     0.6049     0.3345     0.8931         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.83      0.817      0.827      0.664      0.853      0.839      0.855      0.631\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    209/250      15.9G     0.3752     0.5874     0.3434     0.8888         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.812      0.798      0.814      0.642       0.86      0.824       0.85      0.619\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    210/250      16.1G     0.4016     0.6042     0.3604      0.888         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.836       0.75      0.815      0.643      0.863      0.846      0.867      0.626\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    211/250      16.1G     0.3954     0.5798     0.3722     0.8927         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.797      0.822      0.834      0.639      0.829      0.851      0.871      0.625\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    212/250      16.1G      0.388     0.5937     0.3456     0.8731         14        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.825      0.776      0.826      0.639      0.863      0.805      0.867       0.63\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    213/250      15.9G     0.3872     0.5849     0.3376     0.8874         22        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.799      0.813       0.83      0.657      0.831      0.842      0.866      0.631\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    214/250      16.1G     0.3963     0.5939     0.3512     0.8904          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.15it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.841      0.783      0.814      0.649      0.873      0.813      0.849      0.632\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    215/250      16.2G     0.3739     0.5667     0.3306     0.8724         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.867      0.773      0.802      0.631      0.881      0.808      0.857      0.624\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    216/250        16G     0.3834     0.5473     0.3317     0.8933         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.873      0.773      0.832      0.667      0.909      0.803      0.892      0.656\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    217/250      15.9G     0.3776     0.5553     0.3362     0.8871         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.876       0.76      0.835      0.671      0.864      0.815      0.869      0.651\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    218/250        16G     0.3825      0.569     0.3288     0.8909          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.777      0.811      0.821      0.656      0.834      0.859      0.873      0.639\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    219/250        16G       0.37     0.5335      0.328     0.8635         25        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.833      0.823      0.844      0.671      0.873      0.861        0.9      0.674\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    220/250        16G     0.3885     0.5747     0.3463     0.8746         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.801      0.874      0.854      0.691      0.828      0.905      0.889      0.664\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    221/250      16.1G     0.3599     0.5332     0.3236     0.8767          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.809      0.836      0.833       0.68      0.838      0.864      0.876      0.667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    222/250      16.1G     0.3703     0.5643     0.3244     0.8802         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.829      0.797      0.817       0.67      0.862      0.827      0.858      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    223/250      16.2G     0.3772     0.5793     0.3341     0.8826          9        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.789      0.822      0.808      0.659      0.873      0.806      0.852      0.644\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    224/250      16.1G     0.3716     0.5537     0.3264     0.8867         23        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.831       0.79      0.794      0.636      0.862       0.82      0.835      0.628\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    225/250      16.4G     0.3723     0.5625     0.3362     0.8953         17        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.809      0.802      0.811      0.645      0.839      0.833      0.847      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    226/250      16.1G     0.3744     0.5416     0.3225      0.897         10        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.15it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.815      0.805      0.832      0.658      0.831       0.82      0.852      0.641\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    227/250      16.1G     0.3573     0.5255     0.3123     0.8837          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.823      0.801      0.825      0.643      0.839      0.817      0.849      0.636\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    228/250        16G     0.3615     0.5508     0.3061     0.8877         13        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.87      0.782      0.805       0.64       0.87      0.819      0.845      0.639\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    229/250      16.4G      0.347     0.5338     0.3166     0.8702         12        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.898      0.776      0.815      0.647      0.908      0.817      0.849       0.64\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    230/250      16.1G      0.371     0.5723     0.3405      0.886         20        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.875      0.764      0.818      0.661      0.823       0.85      0.847      0.643\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    231/250        16G     0.3482     0.5371     0.3087     0.8706         28        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.875      0.768       0.81      0.657      0.886      0.793      0.841      0.634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    232/250      16.1G     0.3421     0.5164     0.3162     0.8721         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.859       0.77      0.822      0.669      0.877      0.785      0.849      0.646\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    233/250      15.9G     0.3649     0.5713     0.3601      0.887         30        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.876      0.743      0.819      0.665      0.895      0.758      0.849       0.64\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    234/250      16.1G     0.3468     0.5432     0.3231     0.8714          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.868      0.766      0.823      0.669      0.886      0.781      0.858       0.64\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    235/250      16.1G     0.3635     0.5703     0.3227      0.874         24        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.877      0.762      0.838      0.678      0.834      0.839      0.873      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    236/250        16G     0.3527     0.5339     0.3093     0.8885          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.09it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.838      0.788      0.834      0.676      0.869      0.818      0.868      0.655\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    237/250      15.9G     0.3412     0.5151     0.3019     0.8697         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.863      0.772      0.837      0.673      0.864      0.823      0.868      0.652\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    238/250      16.2G     0.3406     0.5351     0.3043     0.8855         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.831      0.822      0.837      0.667      0.872      0.827      0.881      0.647\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    239/250        16G     0.3355     0.5274     0.2868     0.8814         16        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.852      0.804      0.851      0.675      0.867      0.819      0.875      0.664\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    240/250      16.1G     0.3462     0.5349     0.3014     0.8836         11        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.11it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.852      0.799      0.861      0.687      0.867      0.814      0.874      0.667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Closing dataloader mosaic\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    241/250      16.5G     0.2986     0.4703     0.2881     0.8683          5        800: 100%|██████████| 21/21 [00:20<00:00,  1.01it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.828      0.836      0.854      0.674      0.843       0.85      0.875      0.661\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    242/250        16G     0.2988      0.461     0.2642     0.8656          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.795      0.836      0.836      0.665      0.807      0.852      0.863      0.657\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    243/250        16G     0.2751     0.4592     0.2384     0.8391          2        800: 100%|██████████| 21/21 [00:18<00:00,  1.11it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.819      0.815      0.839      0.665      0.834       0.83      0.865      0.653\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    244/250      15.9G     0.2949     0.4752     0.2503     0.8615          6        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.858      0.843      0.848      0.668      0.873      0.858      0.873      0.658\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    245/250      16.4G     0.2744     0.4605     0.2495     0.8336          8        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.827      0.841       0.85      0.679      0.842      0.856      0.875      0.662\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    246/250        16G     0.2791     0.4579     0.2477     0.8525          2        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.859      0.796      0.843      0.684      0.876      0.811      0.877      0.665\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    247/250      15.9G     0.2729     0.4675     0.2586     0.8458         18        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.14it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.848        0.8      0.847      0.684      0.828      0.866      0.882      0.669\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    248/250      16.1G     0.2885     0.4622       0.25     0.8566          1        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.01it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.865      0.781      0.847      0.693       0.83      0.866      0.883       0.67\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    249/250      16.3G     0.2575     0.4467      0.229     0.8422          4        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81       0.86      0.792      0.845      0.691      0.861      0.836       0.88       0.67\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "    250/250      16.1G     0.2698     0.4407     0.2504     0.8454         26        800: 100%|██████████| 21/21 [00:19<00:00,  1.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.863      0.795      0.847      0.693      0.857      0.837      0.881       0.67\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "250 epochs completed in 1.533 hours.\n",
            "Optimizer stripped from /content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16/weights/last.pt, 92.3MB\n",
            "Optimizer stripped from /content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16/weights/best.pt, 92.3MB\n",
            "\n",
            "Validating /content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16/weights/best.pt...\n",
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "YOLOv8l-seg summary (fused): 125 layers, 45,914,201 parameters, 0 gradients, 220.1 GFLOPs\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95):   0%|          | 0/2 [00:00<?, ?it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING ⚠️ Model does not support 'augment=True', reverting to single-scale prediction.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95):  50%|█████     | 1/2 [00:00<00:00,  1.41it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING ⚠️ Model does not support 'augment=True', reverting to single-scale prediction.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 2/2 [00:00<00:00,  2.24it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         40         81      0.827      0.847      0.871      0.681      0.856      0.877      0.905       0.68\n",
            "            red_spiral          8         45      0.826      0.844      0.881      0.641      0.826      0.844       0.89      0.594\n",
            "   curved_green_stripe         14         14      0.928      0.925      0.965      0.802      0.928      0.924      0.965      0.807\n",
            "       thin_red_stripe         17         22      0.727      0.773      0.768      0.599      0.813      0.864      0.862      0.639\n",
            "Speed: 0.3ms preprocess, 17.6ms inference, 0.0ms loss, 1.4ms postprocess per image\n",
            "Results saved to \u001b[1m/content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ultralytics.utils.metrics.SegmentMetrics object with attributes:\n",
              "\n",
              "ap_class_index: array([0, 1, 2])\n",
              "box: ultralytics.utils.metrics.Metric object\n",
              "confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x7f108ff32ad0>\n",
              "curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)', 'Precision-Recall(M)', 'F1-Confidence(M)', 'Precision-Confidence(M)', 'Recall-Confidence(M)']\n",
              "curves_results: [[array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
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              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,    0.021054,    0.010527,           0],\n",
              "       [          1,           1,           1, ...,     0.63636,     0.63636,           0],\n",
              "       [          1,           1,           1, ...,   0.0071039,   0.0035519,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.62774,     0.62774,     0.68711, ...,           0,           0,           0],\n",
              "       [    0.50909,     0.50909,     0.56903, ...,           0,           0,           0],\n",
              "       [    0.47619,     0.47619,     0.59005, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.46739,     0.46739,     0.54368, ...,           1,           1,           1],\n",
              "       [    0.34146,     0.34146,     0.39765, ...,           1,           1,           1],\n",
              "       [    0.32258,     0.32258,     0.43677, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.95556,     0.95556,     0.93333, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.90909,     0.90909,     0.90909, ...,           0,           0,           0]]), 'Confidence', 'Recall'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1, ...,    0.021054,    0.010527,           0],\n",
              "       [          1,           1,           1, ...,     0.63636,     0.63636,           0],\n",
              "       [          1,           1,           1, ...,    0.014918,   0.0074591,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.62774,     0.62774,     0.70347, ...,           0,           0,           0],\n",
              "       [    0.50909,     0.50909,     0.56903, ...,           0,           0,           0],\n",
              "       [        0.5,         0.5,     0.61955, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.46739,     0.46739,     0.55663, ...,           1,           1,           1],\n",
              "       [    0.34146,     0.34146,     0.39765, ...,           1,           1,           1],\n",
              "       [    0.33871,     0.33871,     0.45861, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.95556,     0.95556,     0.95556, ...,           0,           0,           0],\n",
              "       [          1,           1,           1, ...,           0,           0,           0],\n",
              "       [    0.95455,     0.95455,     0.95455, ...,           0,           0,           0]]), 'Confidence', 'Recall']]\n",
              "fitness: np.float64(1.402305849447365)\n",
              "keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)', 'metrics/precision(M)', 'metrics/recall(M)', 'metrics/mAP50(M)', 'metrics/mAP50-95(M)']\n",
              "maps: array([     1.2353,      1.6092,      1.2376])\n",
              "names: {0: 'red_spiral', 1: 'curved_green_stripe', 2: 'thin_red_stripe'}\n",
              "nt_per_class: array([45, 14, 22])\n",
              "nt_per_image: array([ 8, 14, 17])\n",
              "results_dict: {'metrics/precision(B)': np.float64(0.826940719694793), 'metrics/recall(B)': np.float64(0.8473028606709162), 'metrics/mAP50(B)': np.float64(0.8713851175641324), 'metrics/mAP50-95(B)': np.float64(0.680615555801979), 'metrics/precision(M)': np.float64(0.8555622972700969), 'metrics/recall(M)': np.float64(0.8774787797357243), 'metrics/mAP50(M)': np.float64(0.9053461901368953), 'metrics/mAP50-95(M)': np.float64(0.6800874649505345), 'fitness': np.float64(1.402305849447365)}\n",
              "save_dir: PosixPath('/content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16')\n",
              "seg: ultralytics.utils.metrics.Metric object\n",
              "speed: {'preprocess': 0.26829759999600356, 'inference': 17.56487192496934, 'loss': 0.00040727500163484365, 'postprocess': 1.4331795749058074}\n",
              "stats: {'tp': [], 'conf': [], 'pred_cls': [], 'target_cls': [], 'target_img': [], 'tp_m': []}\n",
              "task: 'segment'"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "evaluate_yolo_box_seg(\n",
        "\"/content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16/weights/best.pt\",\n",
        "data_path+\"/data.yaml\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D7ZvrLSP0FTf",
        "outputId": "66a3d9ca-e4a5-4c3e-b35f-5a2e96f35761"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics 8.3.174 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (NVIDIA L4, 22693MiB)\n",
            "YOLOv8l-seg summary (fused): 125 layers, 45,914,201 parameters, 0 gradients, 220.1 GFLOPs\n",
            "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.4±0.1 ms, read: 0.3±0.3 MB/s, size: 351.0 KB)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/Repair Project/report/data/3c/test/labels... 39 images, 18 backgrounds, 0 corrupt: 100%|██████████| 39/39 [00:09<00:00,  3.92it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/Repair Project/report/data/3c/test/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)     Mask(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:02<00:00,  1.20it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all         39         48      0.811      0.895      0.898      0.716      0.811      0.895      0.898      0.692\n",
            "Speed: 5.7ms preprocess, 27.4ms inference, 0.0ms loss, 3.4ms postprocess per image\n",
            "Results saved to \u001b[1mruns/segment/val4\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'box_precision': 0.8112426209553462,\n",
              " 'box_recall': 0.8952811615422949,\n",
              " 'box_map50': 0.8977972515998317,\n",
              " 'seg_precision': 0.8112426209553462,\n",
              " 'seg_recall': 0.8952811615422949,\n",
              " 'seg_map50': 0.8977972515998317}"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from ultralytics import YOLO\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "masks = get_yolo_masks(\n",
        "    weights_path=\"/content/drive/MyDrive/Repair Project/report/results/training/3c/train_250_800_16/weights/best.pt\",\n",
        "    image_path=\"/content/drive/MyDrive/Repair Project/report/data/3c/test/images/RPf_00481.png\"\n",
        "    )\n",
        "\n",
        "plot_masks(masks)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807
        },
        "id": "tFYPGJggxC9j",
        "outputId": "d24649a1-d801-4c59-9073-38790c2ee158"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}