License_Plate_Detection.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Yo61b-sLOsO",
        "outputId": "84bb8ee4-75be-4a7b-ef36-c07e1d55baaf"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/gdrive/MyDrive/Traffic-Violation-Detection/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tSV7tWjFLj_2",
        "outputId": "a409f280-950d-4234-af1a-387b311cdc0d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/gdrive/MyDrive/Traffic-Violation-Detection\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install imageio==2.31.6\n",
        "!pip install scikit-image==0.22.0\n",
        "!pip install imgaug==0.4.0\n",
        "!pip install matplotlib==3.8.1\n",
        "!pip install numpy==1.26.1\n",
        "!pip install opencv_python==4.8.1.78\n",
        "!pip install opencv_python_headless==4.8.1.78\n",
        "!pip install Pillow==10.1.0\n",
        "!pip install pytesseract==0.3.10\n",
        "!pip install ultralytics==8.0.203\n",
        "!pip install tesseract"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "5X52r2GnLg9A",
        "outputId": "e30b8b90-9003-4e8e-8381-da2109a85ab9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: imageio==2.31.6 in /usr/local/lib/python3.10/dist-packages (2.31.6)\n",
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            "Collecting pillow<10.1.0,>=8.3.2 (from imageio==2.31.6)\n",
            "  Downloading Pillow-10.0.1-cp310-cp310-manylinux_2_28_x86_64.whl (3.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m29.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pillow\n",
            "  Attempting uninstall: pillow\n",
            "    Found existing installation: Pillow 10.1.0\n",
            "    Uninstalling Pillow-10.1.0:\n",
            "      Successfully uninstalled Pillow-10.1.0\n",
            "Successfully installed pillow-10.0.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
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            "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.10/dist-packages (from opencv_python_headless==4.8.1.78) (1.26.1)\n",
            "Collecting Pillow==10.1.0\n",
            "  Using cached Pillow-10.1.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.6 MB)\n",
            "Installing collected packages: Pillow\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 10.0.1\n",
            "    Uninstalling Pillow-10.0.1:\n",
            "      Successfully uninstalled Pillow-10.0.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "imageio 2.31.6 requires pillow<10.1.0,>=8.3.2, but you have pillow 10.1.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed Pillow-10.1.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting tesseract\n",
            "  Downloading tesseract-0.1.3.tar.gz (45.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.6/45.6 MB\u001b[0m \u001b[31m16.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: tesseract\n",
            "  Building wheel for tesseract (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for tesseract: filename=tesseract-0.1.3-py3-none-any.whl size=45562550 sha256=0f0ff46901ffc90dd69c838cc6ced3f1497f9f3cc1bb39735f0ee9da3d7f65b9\n",
            "  Stored in directory: /root/.cache/pip/wheels/71/c9/aa/698c579693e83fdda9ad6d6f0d8f61ed986e27925ef576f109\n",
            "Successfully built tesseract\n",
            "Installing collected packages: tesseract\n",
            "Successfully installed tesseract-0.1.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#!python xml2txt.py --annotations_path ./Car-License-Plate/annotations --labels_path ./Car-License-Plate/labels --classes licence=0"
      ],
      "metadata": {
        "id": "JyWd6qVRLnAl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#!python dataset_preparation.py --data_path Car-License-Plate --train_path dataset/train --valid_path dataset/valid --split_ratio 0.8"
      ],
      "metadata": {
        "id": "wzb_7oEiLqDp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#!python data_augmentation.py --train_path dataset/train --num_augmentations 5"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6jrMWsDeLqPk",
        "outputId": "c9e444b6-2956-4fe8-d2f5-163e90886e22"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Augmenting Images: 100% 346/346 [20:59<00:00,  3.64s/it]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python train.py --data_config data.yaml --epochs 100 --model_name yolov8n.pt --export_format onnx --onnx_path model.onnx --pt_path model.pt\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e1IYaygYLqZ4",
        "outputId": "6f136835-55e5-4715-bb9a-4229297aefad"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "New https://pypi.org/project/ultralytics/8.0.218 available 😃 Update with 'pip install -U ultralytics'\n",
            "\u001b[34m\u001b[1mengine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8n.pt, data=data.yaml, epochs=100, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=cuda:0, workers=8, project=None, name=train3, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, vid_stride=1, stream_buffer=False, line_width=None, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train3\n",
            "Downloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/Ultralytics/Arial.ttf'...\n",
            "100% 755k/755k [00:00<00:00, 48.1MB/s]\n",
            "2023-11-26 11:43:34.163123: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
            "2023-11-26 11:43:34.163193: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
            "2023-11-26 11:43:34.163239: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
            "Overriding model.yaml nc=80 with nc=1\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1       464  ultralytics.nn.modules.conv.Conv             [3, 16, 3, 2]                 \n",
            "  1                  -1  1      4672  ultralytics.nn.modules.conv.Conv             [16, 32, 3, 2]                \n",
            "  2                  -1  1      7360  ultralytics.nn.modules.block.C2f             [32, 32, 1, True]             \n",
            "  3                  -1  1     18560  ultralytics.nn.modules.conv.Conv             [32, 64, 3, 2]                \n",
            "  4                  -1  2     49664  ultralytics.nn.modules.block.C2f             [64, 64, 2, True]             \n",
            "  5                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
            "  6                  -1  2    197632  ultralytics.nn.modules.block.C2f             [128, 128, 2, True]           \n",
            "  7                  -1  1    295424  ultralytics.nn.modules.conv.Conv             [128, 256, 3, 2]              \n",
            "  8                  -1  1    460288  ultralytics.nn.modules.block.C2f             [256, 256, 1, True]           \n",
            "  9                  -1  1    164608  ultralytics.nn.modules.block.SPPF            [256, 256, 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  1    148224  ultralytics.nn.modules.block.C2f             [384, 128, 1]                 \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  1     37248  ultralytics.nn.modules.block.C2f             [192, 64, 1]                  \n",
            " 16                  -1  1     36992  ultralytics.nn.modules.conv.Conv             [64, 64, 3, 2]                \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 18                  -1  1    123648  ultralytics.nn.modules.block.C2f             [192, 128, 1]                 \n",
            " 19                  -1  1    147712  ultralytics.nn.modules.conv.Conv             [128, 128, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 21                  -1  1    493056  ultralytics.nn.modules.block.C2f             [384, 256, 1]                 \n",
            " 22        [15, 18, 21]  1    751507  ultralytics.nn.modules.head.Detect           [1, [64, 128, 256]]           \n",
            "Model summary: 225 layers, 3011043 parameters, 3011027 gradients, 8.2 GFLOPs\n",
            "\n",
            "Transferred 319/355 items from pretrained weights\n",
            "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/detect/train3', view at http://localhost:6006/\n",
            "Freezing layer 'model.22.dfl.conv.weight'\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/gdrive/MyDrive/Traffic-Violation-Detection/dataset/train/labels... 2076 images, 7 backgrounds, 0 corrupt: 100% 2076/2076 [00:08<00:00, 251.68it/s]\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/gdrive/MyDrive/Traffic-Violation-Detection/dataset/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), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/gdrive/MyDrive/Traffic-Violation-Detection/dataset/valid/labels... 87 images, 0 backgrounds, 0 corrupt: 100% 87/87 [02:11<00:00,  1.51s/it]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/gdrive/MyDrive/Traffic-Violation-Detection/dataset/valid/labels.cache\n",
            "Plotting labels to runs/detect/train3/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=0.002, momentum=0.9) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias(decay=0.0)\n",
            "Image sizes 640 train, 640 val\n",
            "Using 2 dataloader workers\n",
            "Logging results to \u001b[1mruns/detect/train3\u001b[0m\n",
            "Starting training for 100 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      1/100      2.27G      2.564       3.91      2.301         19        640: 100% 130/130 [00:57<00:00,  2.25it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:04<00:00,  1.45s/it]\n",
            "                   all         87         93      0.609       0.57      0.566      0.263\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      2/100      2.28G      2.591      3.487      2.309         27        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.30it/s]\n",
            "                   all         87         93      0.365       0.29      0.234      0.103\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      3/100      2.28G      2.631      3.505      2.407         24        640: 100% 130/130 [00:52<00:00,  2.49it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.52it/s]\n",
            "                   all         87         93      0.374      0.441      0.415       0.16\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      4/100      2.28G      2.524      3.446      2.396         30        640: 100% 130/130 [00:51<00:00,  2.51it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.71it/s]\n",
            "                   all         87         93      0.649      0.556      0.607      0.282\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      5/100      2.28G      2.487       3.45       2.38         24        640: 100% 130/130 [00:53<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.93it/s]\n",
            "                   all         87         93      0.454      0.559      0.503      0.204\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      6/100      2.28G      2.445      3.339      2.353         24        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.49it/s]\n",
            "                   all         87         93      0.675      0.688      0.751       0.36\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      7/100      2.28G      2.441      3.309      2.358         21        640: 100% 130/130 [00:54<00:00,  2.37it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.95it/s]\n",
            "                   all         87         93      0.787      0.656      0.768       0.37\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      8/100      2.28G      2.423      3.322      2.359         23        640: 100% 130/130 [00:54<00:00,  2.36it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.32it/s]\n",
            "                   all         87         93      0.871      0.677      0.783      0.372\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      9/100      2.28G       2.37      3.239      2.312         24        640: 100% 130/130 [00:54<00:00,  2.37it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.57it/s]\n",
            "                   all         87         93      0.865      0.677      0.827      0.399\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     10/100      2.28G      2.366       3.21      2.295         16        640: 100% 130/130 [00:55<00:00,  2.36it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.14it/s]\n",
            "                   all         87         93      0.746      0.742        0.8      0.374\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     11/100      2.28G      2.361       3.21      2.291         22        640: 100% 130/130 [00:54<00:00,  2.37it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.14it/s]\n",
            "                   all         87         93      0.828      0.667      0.793      0.428\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     12/100      2.28G      2.335       3.22      2.283         29        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.37it/s]\n",
            "                   all         87         93      0.696      0.788      0.788      0.412\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     13/100      2.28G      2.311      3.169      2.267         39        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.31it/s]\n",
            "                   all         87         93      0.841      0.682      0.796       0.38\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     14/100      2.28G      2.332      3.234      2.285         32        640: 100% 130/130 [00:51<00:00,  2.53it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.45it/s]\n",
            "                   all         87         93      0.702      0.774      0.756       0.35\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     15/100      2.28G      2.303      3.126      2.246         27        640: 100% 130/130 [00:52<00:00,  2.48it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.46it/s]\n",
            "                   all         87         93      0.786      0.731      0.837      0.466\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     16/100      2.28G      2.277      3.174      2.241         26        640: 100% 130/130 [00:53<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.72it/s]\n",
            "                   all         87         93      0.905      0.753      0.861      0.429\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     17/100      2.28G      2.301      3.153      2.248         27        640: 100% 130/130 [00:56<00:00,  2.28it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.07it/s]\n",
            "                   all         87         93      0.743      0.742      0.802       0.44\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     18/100      2.28G      2.259      3.083      2.221         24        640: 100% 130/130 [00:55<00:00,  2.33it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.99it/s]\n",
            "                   all         87         93      0.828      0.839      0.884      0.467\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     19/100      2.28G      2.254      3.084      2.223         29        640: 100% 130/130 [00:56<00:00,  2.30it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.08it/s]\n",
            "                   all         87         93      0.812      0.817      0.832      0.454\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     20/100      2.28G      2.282      3.084      2.219         26        640: 100% 130/130 [00:56<00:00,  2.32it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.90it/s]\n",
            "                   all         87         93      0.897      0.745       0.88      0.475\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     21/100      2.28G      2.271      3.088      2.216         25        640: 100% 130/130 [00:54<00:00,  2.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.00it/s]\n",
            "                   all         87         93      0.846      0.806      0.873      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     22/100      2.28G      2.237      3.013      2.183         21        640: 100% 130/130 [00:54<00:00,  2.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.06it/s]\n",
            "                   all         87         93      0.888      0.766      0.867      0.473\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     23/100      2.28G      2.241      3.045      2.201         22        640: 100% 130/130 [00:54<00:00,  2.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.30it/s]\n",
            "                   all         87         93      0.826      0.785      0.847      0.469\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     24/100      2.28G      2.237      3.025      2.187         20        640: 100% 130/130 [00:52<00:00,  2.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.54it/s]\n",
            "                   all         87         93      0.888      0.852      0.848       0.45\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     25/100      2.32G      2.251      3.078       2.23         24        640: 100% 130/130 [00:50<00:00,  2.56it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.54it/s]\n",
            "                   all         87         93      0.857      0.828      0.867       0.47\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     26/100      2.28G      2.211      3.039      2.186         21        640: 100% 130/130 [00:52<00:00,  2.49it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.27it/s]\n",
            "                   all         87         93      0.873      0.871      0.914      0.495\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     27/100      2.28G       2.23      3.052      2.215         20        640: 100% 130/130 [00:53<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.89it/s]\n",
            "                   all         87         93       0.88      0.789      0.881      0.501\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     28/100      2.28G      2.178      3.014      2.174         24        640: 100% 130/130 [00:55<00:00,  2.36it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.91it/s]\n",
            "                   all         87         93      0.895      0.871      0.918      0.498\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     29/100      2.29G      2.182      2.964      2.166         29        640: 100% 130/130 [00:55<00:00,  2.36it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.45it/s]\n",
            "                   all         87         93      0.878      0.892      0.903      0.474\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     30/100      2.29G      2.207      2.955      2.174         25        640: 100% 130/130 [00:54<00:00,  2.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.92it/s]\n",
            "                   all         87         93      0.865      0.839      0.885      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     31/100      2.28G      2.168      2.973      2.148         26        640: 100% 130/130 [00:55<00:00,  2.35it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.30it/s]\n",
            "                   all         87         93        0.9      0.872      0.925       0.51\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     32/100      2.29G      2.152      2.916      2.139         20        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.37it/s]\n",
            "                   all         87         93      0.884      0.806      0.891      0.452\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     33/100      2.28G      2.195      3.008      2.183         21        640: 100% 130/130 [00:52<00:00,  2.48it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.30it/s]\n",
            "                   all         87         93      0.891       0.86      0.908      0.502\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     34/100      2.28G      2.175      2.905      2.127         27        640: 100% 130/130 [00:51<00:00,  2.52it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.33it/s]\n",
            "                   all         87         93      0.876      0.849      0.911      0.508\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     35/100      2.28G      2.141      2.905      2.112         28        640: 100% 130/130 [00:52<00:00,  2.48it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.13it/s]\n",
            "                   all         87         93      0.869      0.839      0.894       0.47\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     36/100      2.28G      2.145      2.908      2.128         27        640: 100% 130/130 [00:52<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.27it/s]\n",
            "                   all         87         93      0.887      0.849      0.917       0.53\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     37/100      2.28G      2.164      2.928      2.141         21        640: 100% 130/130 [00:52<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.23it/s]\n",
            "                   all         87         93      0.875      0.882      0.908      0.513\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     38/100      2.28G       2.16      2.937      2.153         27        640: 100% 130/130 [00:52<00:00,  2.47it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.77it/s]\n",
            "                   all         87         93      0.897      0.845      0.892      0.494\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     39/100      2.28G      2.136      2.878      2.109         34        640: 100% 130/130 [00:50<00:00,  2.59it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.35it/s]\n",
            "                   all         87         93      0.906      0.827      0.885      0.449\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     40/100      2.28G      2.124      2.891      2.105         32        640: 100% 130/130 [00:50<00:00,  2.59it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.27it/s]\n",
            "                   all         87         93      0.928      0.836      0.933      0.514\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     41/100      2.28G      2.119      2.907      2.126         17        640: 100% 130/130 [00:52<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.30it/s]\n",
            "                   all         87         93      0.841      0.892      0.892      0.508\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     42/100      2.28G      2.137      2.883      2.103         24        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.50it/s]\n",
            "                   all         87         93      0.851      0.923      0.931      0.517\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     43/100      2.28G      2.114      2.874      2.112         30        640: 100% 130/130 [00:51<00:00,  2.53it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.46it/s]\n",
            "                   all         87         93      0.853      0.873      0.927      0.478\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     44/100      2.28G      2.099      2.854      2.083         25        640: 100% 130/130 [00:50<00:00,  2.60it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.24it/s]\n",
            "                   all         87         93      0.856      0.895      0.924      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     45/100      2.28G      2.101      2.875      2.096         19        640: 100% 130/130 [00:51<00:00,  2.55it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.31it/s]\n",
            "                   all         87         93      0.911      0.881      0.935      0.516\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     46/100      2.28G      2.101      2.871      2.088         22        640: 100% 130/130 [00:52<00:00,  2.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.16it/s]\n",
            "                   all         87         93      0.896       0.86      0.914      0.535\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     47/100      2.28G      2.099      2.848      2.088         25        640: 100% 130/130 [00:52<00:00,  2.48it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.90it/s]\n",
            "                   all         87         93       0.87       0.86       0.89      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     48/100      2.28G      2.101      2.835      2.078         21        640: 100% 130/130 [00:51<00:00,  2.50it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.64it/s]\n",
            "                   all         87         93      0.882      0.903      0.915      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     49/100      2.28G      2.049      2.799      2.061         20        640: 100% 130/130 [00:54<00:00,  2.39it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.27it/s]\n",
            "                   all         87         93      0.892      0.889      0.906      0.521\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     50/100      2.28G      2.046      2.788       2.03         35        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.24it/s]\n",
            "                   all         87         93      0.911      0.879      0.923      0.526\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     51/100      2.28G       2.04      2.776      2.043         22        640: 100% 130/130 [00:54<00:00,  2.41it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.59it/s]\n",
            "                   all         87         93        0.9       0.87      0.911      0.531\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     52/100      2.28G      2.038      2.764       2.03         35        640: 100% 130/130 [00:52<00:00,  2.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.65it/s]\n",
            "                   all         87         93      0.882      0.882       0.91      0.498\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     53/100      2.32G      2.059      2.793      2.049         23        640: 100% 130/130 [00:53<00:00,  2.43it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.27it/s]\n",
            "                   all         87         93      0.868       0.85      0.895      0.522\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     54/100      2.28G      2.035      2.726      2.013         23        640: 100% 130/130 [00:55<00:00,  2.34it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.94it/s]\n",
            "                   all         87         93      0.922       0.86      0.927      0.542\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     55/100      2.29G      2.032      2.752       2.03         29        640: 100% 130/130 [00:55<00:00,  2.35it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.20it/s]\n",
            "                   all         87         93      0.892      0.887        0.9      0.524\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     56/100      2.28G      2.023      2.772      2.019         21        640: 100% 130/130 [00:55<00:00,  2.33it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.40it/s]\n",
            "                   all         87         93      0.938      0.903      0.936      0.516\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     57/100      2.29G      2.025      2.752      2.025         23        640: 100% 130/130 [00:55<00:00,  2.35it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.22it/s]\n",
            "                   all         87         93       0.91       0.86      0.927      0.515\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     58/100      2.28G      2.001      2.702       2.02         31        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.58it/s]\n",
            "                   all         87         93      0.901      0.892      0.897      0.513\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     59/100      2.28G      2.012       2.75      2.004         22        640: 100% 130/130 [00:52<00:00,  2.47it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.39it/s]\n",
            "                   all         87         93      0.925      0.924      0.942      0.542\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     60/100      2.28G          2      2.709      2.006         30        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.35it/s]\n",
            "                   all         87         93      0.885       0.91      0.936       0.52\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     61/100      2.28G      1.987      2.694      1.992         22        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.43it/s]\n",
            "                   all         87         93      0.907      0.892      0.921      0.532\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     62/100      2.28G      1.993      2.646      1.981         20        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.22it/s]\n",
            "                   all         87         93       0.91       0.87      0.913      0.535\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     63/100      2.28G      1.996      2.692      1.976         24        640: 100% 130/130 [00:53<00:00,  2.42it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.48it/s]\n",
            "                   all         87         93      0.889      0.892      0.885      0.477\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     64/100      2.28G      1.985      2.667      1.984         25        640: 100% 130/130 [00:53<00:00,  2.41it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.92it/s]\n",
            "                   all         87         93      0.924      0.914      0.918      0.532\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     65/100      2.28G      1.961      2.643      1.967         16        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.33it/s]\n",
            "                   all         87         93      0.932      0.914      0.947      0.535\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     66/100      2.28G      1.967       2.67      1.982         19        640: 100% 130/130 [00:52<00:00,  2.47it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.25it/s]\n",
            "                   all         87         93      0.902      0.888      0.931      0.529\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     67/100      2.28G      1.947      2.616       1.95         24        640: 100% 130/130 [00:50<00:00,  2.57it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.57it/s]\n",
            "                   all         87         93      0.899      0.871      0.908      0.541\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     68/100      2.28G      1.975      2.646      1.979         29        640: 100% 130/130 [00:52<00:00,  2.47it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.10it/s]\n",
            "                   all         87         93      0.922      0.895      0.915       0.55\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     69/100      2.28G      1.938      2.632      1.966         21        640: 100% 130/130 [00:53<00:00,  2.43it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.62it/s]\n",
            "                   all         87         93      0.936      0.903      0.922      0.541\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     70/100      2.28G      1.945      2.607      1.947         25        640: 100% 130/130 [00:54<00:00,  2.39it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.11it/s]\n",
            "                   all         87         93      0.938      0.892      0.934      0.537\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     71/100      2.28G      1.913      2.561      1.933         24        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.13it/s]\n",
            "                   all         87         93      0.923      0.898      0.917      0.518\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     72/100      2.28G      1.932      2.592       1.95         18        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.25it/s]\n",
            "                   all         87         93      0.931      0.869      0.916      0.508\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     73/100      2.28G      1.912       2.53      1.905         19        640: 100% 130/130 [00:51<00:00,  2.52it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.59it/s]\n",
            "                   all         87         93      0.908      0.892      0.907      0.529\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     74/100      2.28G      1.922      2.575      1.948         15        640: 100% 130/130 [00:51<00:00,  2.52it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.63it/s]\n",
            "                   all         87         93      0.867      0.913      0.904      0.525\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     75/100      2.29G      1.922      2.565      1.934         28        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.31it/s]\n",
            "                   all         87         93      0.927      0.903      0.945      0.532\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     76/100      2.28G      1.918       2.55      1.921         19        640: 100% 130/130 [00:54<00:00,  2.39it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.17it/s]\n",
            "                   all         87         93       0.91      0.866      0.917      0.517\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     77/100      2.28G      1.886      2.506      1.913         30        640: 100% 130/130 [00:53<00:00,  2.42it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.65it/s]\n",
            "                   all         87         93      0.903      0.901      0.915      0.525\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     78/100      2.28G      1.888      2.504      1.907         21        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.00it/s]\n",
            "                   all         87         93      0.918      0.882      0.917      0.524\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     79/100      2.28G      1.902      2.538      1.911         33        640: 100% 130/130 [00:54<00:00,  2.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.30it/s]\n",
            "                   all         87         93      0.906      0.928      0.933       0.53\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     80/100      2.28G      1.886      2.506      1.904         24        640: 100% 130/130 [00:51<00:00,  2.51it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.28it/s]\n",
            "                   all         87         93       0.91      0.882      0.924      0.539\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     81/100      2.28G      1.883      2.502      1.909         28        640: 100% 130/130 [00:52<00:00,  2.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.31it/s]\n",
            "                   all         87         93      0.947      0.871      0.926      0.523\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     82/100      2.28G      1.844      2.483      1.879         26        640: 100% 130/130 [00:52<00:00,  2.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.98it/s]\n",
            "                   all         87         93      0.933        0.9      0.934       0.53\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     83/100      2.28G      1.862      2.476      1.886         23        640: 100% 130/130 [00:54<00:00,  2.39it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.05it/s]\n",
            "                   all         87         93      0.922      0.903      0.933      0.539\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     84/100      2.28G      1.837      2.421      1.871         25        640: 100% 130/130 [00:55<00:00,  2.36it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.98it/s]\n",
            "                   all         87         93      0.932       0.89      0.929       0.54\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     85/100      2.28G      1.834      2.407      1.873         27        640: 100% 130/130 [00:54<00:00,  2.40it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.96it/s]\n",
            "                   all         87         93      0.884      0.925      0.933      0.532\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     86/100      2.28G      1.858      2.455      1.898         21        640: 100% 130/130 [00:53<00:00,  2.42it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.30it/s]\n",
            "                   all         87         93      0.903      0.898      0.936      0.553\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     87/100      2.28G      1.836      2.392      1.862         20        640: 100% 130/130 [00:54<00:00,  2.37it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.29it/s]\n",
            "                   all         87         93      0.894      0.909      0.946      0.544\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     88/100      2.28G      1.863      2.454      1.895         27        640: 100% 130/130 [00:53<00:00,  2.43it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.48it/s]\n",
            "                   all         87         93      0.912      0.887      0.935      0.521\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     89/100      2.28G      1.817      2.363      1.847         28        640: 100% 130/130 [00:53<00:00,  2.43it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.27it/s]\n",
            "                   all         87         93       0.93      0.903      0.934      0.515\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     90/100      2.28G      1.798      2.365      1.844         25        640: 100% 130/130 [00:53<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.22it/s]\n",
            "                   all         87         93      0.915      0.892      0.932       0.51\n",
            "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), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     91/100      2.28G      1.851       2.51      1.937         12        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.26it/s]\n",
            "                   all         87         93      0.903      0.871      0.921      0.522\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     92/100      2.28G      1.792      2.375      1.907         12        640: 100% 130/130 [00:52<00:00,  2.45it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.06it/s]\n",
            "                   all         87         93      0.942      0.876      0.903       0.52\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     93/100      2.28G      1.775      2.335      1.893         12        640: 100% 130/130 [00:53<00:00,  2.42it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.24it/s]\n",
            "                   all         87         93      0.932       0.88      0.928      0.538\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     94/100      2.28G       1.76      2.302      1.886         12        640: 100% 130/130 [00:51<00:00,  2.54it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.21it/s]\n",
            "                   all         87         93      0.932      0.886      0.917      0.537\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     95/100      2.28G      1.775      2.305      1.894         13        640: 100% 130/130 [00:49<00:00,  2.63it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  1.59it/s]\n",
            "                   all         87         93      0.922      0.889      0.918       0.53\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     96/100      2.28G      1.758      2.282      1.878         12        640: 100% 130/130 [00:51<00:00,  2.51it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.78it/s]\n",
            "                   all         87         93      0.943      0.882      0.925      0.538\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     97/100      2.28G      1.732      2.255      1.865         12        640: 100% 130/130 [00:53<00:00,  2.44it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.60it/s]\n",
            "                   all         87         93      0.939      0.892      0.928      0.544\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     98/100      2.28G      1.726      2.227      1.852         12        640: 100% 130/130 [00:52<00:00,  2.49it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.41it/s]\n",
            "                   all         87         93      0.943      0.898      0.934      0.527\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     99/100      2.28G      1.725      2.224      1.856         11        640: 100% 130/130 [00:48<00:00,  2.66it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.30it/s]\n",
            "                   all         87         93      0.948      0.903       0.93      0.525\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "    100/100      2.28G      1.739      2.236      1.873         12        640: 100% 130/130 [00:51<00:00,  2.53it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:01<00:00,  2.71it/s]\n",
            "                   all         87         93      0.943      0.897      0.924      0.521\n",
            "\n",
            "100 epochs completed in 1.569 hours.\n",
            "Optimizer stripped from runs/detect/train3/weights/last.pt, 6.3MB\n",
            "Optimizer stripped from runs/detect/train3/weights/best.pt, 6.3MB\n",
            "\n",
            "Validating runs/detect/train3/weights/best.pt...\n",
            "Ultralytics YOLOv8.0.203 🚀 Python-3.10.12 torch-2.1.0+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 3005843 parameters, 0 gradients, 8.1 GFLOPs\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 3/3 [00:02<00:00,  1.27it/s]\n",
            "                   all         87         93      0.903      0.898      0.937      0.554\n",
            "Speed: 0.5ms preprocess, 3.2ms inference, 0.0ms loss, 5.5ms postprocess per image\n",
            "Results saved to \u001b[1mruns/detect/train3\u001b[0m\n",
            "Ultralytics YOLOv8.0.203 🚀 Python-3.10.12 torch-2.1.0+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 3005843 parameters, 0 gradients, 8.1 GFLOPs\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/gdrive/MyDrive/Traffic-Violation-Detection/dataset/valid/labels.cache... 87 images, 0 backgrounds, 0 corrupt: 100% 87/87 [00:00<?, ?it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 6/6 [00:03<00:00,  1.87it/s]\n",
            "                   all         87         93      0.905      0.892      0.928      0.553\n",
            "Speed: 0.4ms preprocess, 17.1ms inference, 0.0ms loss, 1.9ms postprocess per image\n",
            "Results saved to \u001b[1mruns/detect/train32\u001b[0m\n",
            "\n",
            "Downloading https://ultralytics.com/images/bus.jpg to 'bus.jpg'...\n",
            "100% 476k/476k [00:00<00:00, 41.1MB/s]\n",
            "image 1/1 /content/gdrive/MyDrive/Traffic-Violation-Detection/bus.jpg: 640x480 (no detections), 23.4ms\n",
            "Speed: 5.3ms preprocess, 23.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480)\n",
            "Prediction results: [ultralytics.engine.results.Results object with attributes:\n",
            "\n",
            "boxes: ultralytics.engine.results.Boxes object\n",
            "keypoints: None\n",
            "masks: None\n",
            "names: {0: 'license'}\n",
            "orig_img: array([[[122, 148, 172],\n",
            "        [120, 146, 170],\n",
            "        [125, 153, 177],\n",
            "        ...,\n",
            "        [157, 170, 184],\n",
            "        [158, 171, 185],\n",
            "        [158, 171, 185]],\n",
            "\n",
            "       [[127, 153, 177],\n",
            "        [124, 150, 174],\n",
            "        [127, 155, 179],\n",
            "        ...,\n",
            "        [158, 171, 185],\n",
            "        [159, 172, 186],\n",
            "        [159, 172, 186]],\n",
            "\n",
            "       [[128, 154, 178],\n",
            "        [126, 152, 176],\n",
            "        [126, 154, 178],\n",
            "        ...,\n",
            "        [158, 171, 185],\n",
            "        [158, 171, 185],\n",
            "        [158, 171, 185]],\n",
            "\n",
            "       ...,\n",
            "\n",
            "       [[185, 185, 191],\n",
            "        [182, 182, 188],\n",
            "        [179, 179, 185],\n",
            "        ...,\n",
            "        [114, 107, 112],\n",
            "        [115, 105, 111],\n",
            "        [116, 106, 112]],\n",
            "\n",
            "       [[157, 157, 163],\n",
            "        [180, 180, 186],\n",
            "        [185, 186, 190],\n",
            "        ...,\n",
            "        [107,  97, 103],\n",
            "        [102,  92,  98],\n",
            "        [108,  98, 104]],\n",
            "\n",
            "       [[112, 112, 118],\n",
            "        [160, 160, 166],\n",
            "        [169, 170, 174],\n",
            "        ...,\n",
            "        [ 99,  89,  95],\n",
            "        [ 96,  86,  92],\n",
            "        [102,  92,  98]]], dtype=uint8)\n",
            "orig_shape: (1080, 810)\n",
            "path: '/content/gdrive/MyDrive/Traffic-Violation-Detection/bus.jpg'\n",
            "probs: None\n",
            "save_dir: None\n",
            "speed: {'preprocess': 5.276918411254883, 'inference': 23.37646484375, 'postprocess': 1.5752315521240234}]\n",
            "ONNX model exported to: model.onnx\n",
            "Model saved to: model.pt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python inference.py"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I7rXLumgLqiH",
        "outputId": "e2ee1652-31b2-4ac9-cc3d-92091be54443"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "0: 448x640 2 licenses, 177.3ms\n",
            "Speed: 5.0ms preprocess, 177.3ms inference, 9.5ms postprocess per image at shape (1, 3, 448, 640)\n",
            "license_plate: {0025\n",
            "\f\n",
            "License: {0025\n",
            "license_plate: \f\n",
            "License: \n"
          ]
        }
      ]
    }
  ]
}