yolov5_marking_detector.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/wyhpolyu2020/ObjectDetection/blob/main/yolov5_marking_detector.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t6MPjfT5NrKQ"
      },
      "source": [
        "<a align=\"left\" href=\"https://ultralytics.com/yolov5\" target=\"_blank\">\n",
        "<img src=\"https://github.com/ultralytics/yolov5/releases/download/v1.0/splash_horizontal.png\"></a>\n",
        "\n",
        "This is the **official YOLOv5 🚀 notebook** authored by **Ultralytics**, and is freely available for redistribution under the [GPL-3.0 license](https://choosealicense.com/licenses/gpl-3.0/). \n",
        "For more information please visit https://github.com/ultralytics/yolov5 and https://ultralytics.com. Thank you!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7mGmQbAO5pQb"
      },
      "source": [
        "# Setup\n",
        "\n",
        "Clone repo, install dependencies and check PyTorch and GPU."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wbvMlHd_QwMG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ae047ce4-3dbf-4454-e4e8-c5f2be5168e4"
      },
      "source": [
        "!git clone https://github.com/ultralytics/yolov5  # clone repo\n",
        "%cd yolov5\n",
        "%pip install -qr requirements.txt  # install dependencies\n",
        "\n",
        "import torch\n",
        "from IPython.display import Image, clear_output  # to display images\n",
        "\n",
        "clear_output()\n",
        "print(f\"Setup complete. Using torch {torch.__version__} ({torch.cuda.get_device_properties(0).name if torch.cuda.is_available() else 'CPU'})\")"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Setup complete. Using torch 1.8.1+cu101 (Tesla T4)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t_EeP2LzmLUL",
        "outputId": "ba6af434-ec4e-4452-f5e2-1c2514380571",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!unzip -q ../train_data.zip -d ../"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "replace ../train_data/images/train/10.png? [y]es, [n]o, [A]ll, [N]one, [r]ename: "
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4JnkELT0cIJg"
      },
      "source": [
        "# 1. Inference\n",
        "\n",
        "`detect.py` runs YOLOv5 inference on a variety of sources, downloading models automatically from the [latest YOLOv5 release](https://github.com/ultralytics/yolov5/releases), and saving results to `runs/detect`. Example inference sources are:\n",
        "\n",
        "<img src=\"https://user-images.githubusercontent.com/26833433/114307955-5c7e4e80-9ae2-11eb-9f50-a90e39bee53f.png\" width=\"900\"> "
      ]
    },
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      "metadata": {
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        "colab": {
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        },
        "outputId": "85c6ebca-93c3-4afc-eb4b-f44d6b324ff7"
      },
      "source": [
        "!python detect.py --weights runs/train/exp4/weights/last.pt --img 640 --conf 0.25 --source ../marking.mp4\n"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.25, device='', exist_ok=False, half=False, hide_conf=False, hide_labels=False, imgsz=640, iou_thres=0.45, line_thickness=3, max_det=1000, name='exp', nosave=False, project='runs/detect', save_conf=False, save_crop=False, save_txt=False, source='../marking.mp4', update=False, view_img=False, weights=['runs/train/exp4/weights/last.pt'])\n",
            "YOLOv5 🚀 v5.0-196-gbb79e13 torch 1.8.1+cu101 CUDA:0 (Tesla T4, 15109.75MB)\n",
            "\n",
            "Fusing layers... \n",
            "Model Summary: 224 layers, 7053910 parameters, 0 gradients, 16.3 GFLOPs\n",
            "video 1/1 (1/711) /content/yolov5/../marking.mp4: 640x384 Done. (0.011s)\n",
            "video 1/1 (2/711) /content/yolov5/../marking.mp4: 640x384 Done. (0.010s)\n",
            "video 1/1 (3/711) /content/yolov5/../marking.mp4: 640x384 1 marking, Done. (0.011s)\n",
            "video 1/1 (4/711) /content/yolov5/../marking.mp4: 640x384 1 marking, Done. (0.011s)\n",
            "video 1/1 (5/711) /content/yolov5/../marking.mp4: 640x384 1 marking, Done. (0.011s)\n",
            "video 1/1 (6/711) /content/yolov5/../marking.mp4: 640x384 1 marking, Done. (0.011s)\n",
            "video 1/1 (7/711) /content/yolov5/../marking.mp4: 640x384 Done. (0.010s)\n",
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            "Results saved to runs/detect/exp\n",
            "Done. (12.557s)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0eq1SMWl6Sfn"
      },
      "source": [
        "# 2. Test\n",
        "Test a model's accuracy on [COCO](https://cocodataset.org/#home) val or test-dev datasets. Models are downloaded automatically from the [latest YOLOv5 release](https://github.com/ultralytics/yolov5/releases). To show results by class use the `--verbose` flag. Note that `pycocotools` metrics may be ~1% better than the equivalent repo metrics, as is visible below, due to slight differences in mAP computation."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eyTZYGgRjnMc"
      },
      "source": [
        "## COCO val2017\n",
        "Download [COCO val 2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L14) dataset (1GB - 5000 images), and test model accuracy."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WQPtK1QYVaD_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "cef5e9351ca743bcba5febac0b096a30",
            "ec326c52378f4410920c328f221e0514",
            "83000c64a11c4ae8abd6f0ef2f108cef",
            "0f7899eb719f4a9c9852426551f97be9",
            "886ac5b18b3c4c82bf15ad5055f1e17e",
            "4e67b3c3a49849c7a7ba28b7eec96e7a",
            "62c3682ff1804571a483d46664533969",
            "599dda3b608b432393760b2ca4ae7c7d"
          ]
        },
        "outputId": "56b6402a-81d5-41d0-a3c8-8889db1fca6c"
      },
      "source": [
        "# Download COCO val2017\n",
        "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
        "!unzip -q tmp.zip -d ../ && rm tmp.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cef5e9351ca743bcba5febac0b096a30",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=819257867.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X58w8JLpMnjH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a5d41761-f1a0-41fe-d0bb-4cceebd7c4a6"
      },
      "source": [
        "# Run YOLOv5x on COCO val2017\n",
        "!python test.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Namespace(augment=False, batch_size=32, conf_thres=0.001, data='./data/coco.yaml', device='', exist_ok=False, half=True, img_size=640, iou_thres=0.65, name='exp', project='runs/test', save_conf=False, save_hybrid=False, save_json=True, save_txt=False, single_cls=False, task='val', verbose=False, weights=['yolov5x.pt'])\n",
            "YOLOv5 🚀 v5.0-157-gc6b51f4 torch 1.8.1+cu101 CUDA:0 (Tesla V100-SXM2-16GB, 16160.5MB)\n",
            "\n",
            "Downloading https://github.com/ultralytics/yolov5/releases/download/v5.0/yolov5x.pt to yolov5x.pt...\n",
            "100% 168M/168M [00:01<00:00, 156MB/s]\n",
            "\n",
            "Fusing layers... \n",
            "Model Summary: 476 layers, 87730285 parameters, 0 gradients\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning '../coco/val2017' images and labels...4952 found, 48 missing, 0 empty, 0 corrupted: 100% 5000/5000 [00:01<00:00, 3008.87it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: ../coco/val2017.cache\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 157/157 [01:17<00:00,  2.02it/s]\n",
            "                 all       5000      36335      0.746      0.626       0.68       0.49\n",
            "Speed: 5.3/1.5/6.8 ms inference/NMS/total per 640x640 image at batch-size 32\n",
            "\n",
            "Evaluating pycocotools mAP... saving runs/test/exp/yolov5x_predictions.json...\n",
            "loading annotations into memory...\n",
            "Done (t=0.44s)\n",
            "creating index...\n",
            "index created!\n",
            "Loading and preparing results...\n",
            "DONE (t=4.88s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=83.47s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=12.96s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.688\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.546\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.351\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.551\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.644\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.382\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.629\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.681\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.524\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.735\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.827\n",
            "Results saved to runs/test/exp\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rc_KbFk0juX2"
      },
      "source": [
        "## COCO test-dev2017\n",
        "Download [COCO test2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L15) dataset (7GB - 40,000 images), to test model accuracy on test-dev set (**20,000 images, no labels**). Results are saved to a `*.json` file which should be **zipped** and submitted to the evaluation server at https://competitions.codalab.org/competitions/20794."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V0AJnSeCIHyJ"
      },
      "source": [
        "# Download COCO test-dev2017\n",
        "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip', 'tmp.zip')\n",
        "!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n",
        "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f && rm $f  # 7GB,  41k images\n",
        "%mv ./test2017 ../coco/images  # move to /coco"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "29GJXAP_lPrt"
      },
      "source": [
        "# Run YOLOv5s on COCO test-dev2017 using --task test\n",
        "!python test.py --weights yolov5s.pt --data coco.yaml --task test"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VUOiNLtMP5aG"
      },
      "source": [
        "# 3. Train\n",
        "\n",
        "Download [COCO128](https://www.kaggle.com/ultralytics/coco128), a small 128-image tutorial dataset, start tensorboard and train YOLOv5s from a pretrained checkpoint for 3 epochs (note actual training is typically much longer, around **300-1000 epochs**, depending on your dataset)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Knxi2ncxWffW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "217ca488c82a4b7a80318b70887a556e",
            "4e63af16f1084ca98a6fa5a282f2a81e",
            "49f4b3c7f6ff42b4b9132a8550e12186",
            "8ec9e1a4883245daaf029458ee09721f",
            "9d3e775ee11e4cf4b587b64fbc3cc6f7",
            "70f68a9a51ac46e6ab7e51fb4fc6bda3",
            "fdb8ab377c114bc3b862ba76eb93cef7",
            "cd267c153c244621a1f50706d2ddc897"
          ]
        },
        "outputId": "9e4788c2-e1d4-4a13-c3d2-984f5df7ffab"
      },
      "source": [
        "# Download COCO128\n",
        "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip', 'tmp.zip')\n",
        "!unzip -q tmp.zip -d ../ && rm tmp.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "217ca488c82a4b7a80318b70887a556e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=22091032.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_pOkGLv1dMqh"
      },
      "source": [
        "Train a YOLOv5s model on [COCO128](https://www.kaggle.com/ultralytics/coco128) with `--data coco128.yaml`, starting from pretrained `--weights yolov5s.pt`, or from randomly initialized `--weights '' --cfg yolov5s.yaml`. Models are downloaded automatically from the [latest YOLOv5 release](https://github.com/ultralytics/yolov5/releases), and **COCO, COCO128, and VOC datasets are downloaded automatically** on first use.\n",
        "\n",
        "All training results are saved to `runs/train/` with incrementing run directories, i.e. `runs/train/exp2`, `runs/train/exp3` etc.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bOy5KI2ncnWd"
      },
      "source": [
        "# Tensorboard  (optional)\n",
        "%load_ext tensorboard\n",
        "%tensorboard --logdir runs/train"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2fLAV42oNb7M"
      },
      "source": [
        "# Weights & Biases  (optional)\n",
        "%pip install -q wandb\n",
        "import wandb\n",
        "wandb.login()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1NcFxRcFdJ_O",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "eccceedd-34fa-45d6-a903-cdb8f7486be5"
      },
      "source": [
        "# Train YOLOv5s on COCO128 for 3 epochs\n",
        "!python train.py --img 640 --batch 10 --epochs 200 --data custom_data.yaml --weights yolov5s.pt --cache"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[34m\u001b[1mgithub: \u001b[0m⚠️ WARNING: code is out of date by 1 commit. Use 'git pull' to update or 'git clone https://github.com/ultralytics/yolov5' to download latest.\n",
            "YOLOv5 🚀 v5.0-196-gbb79e13 torch 1.8.1+cu101 CUDA:0 (Tesla T4, 15109.75MB)\n",
            "\n",
            "Namespace(adam=False, artifact_alias='latest', batch_size=10, bbox_interval=-1, bucket='', cache_images=True, cfg='', data='./data/custom_data.yaml', device='', entity=None, epochs=200, evolve=False, exist_ok=False, global_rank=-1, hyp='data/hyp.scratch.yaml', image_weights=False, img_size=[640, 640], label_smoothing=0.0, linear_lr=False, local_rank=-1, multi_scale=False, name='exp', noautoanchor=False, nosave=False, notest=False, project='runs/train', quad=False, rect=False, resume=False, save_dir='runs/train/exp4', save_period=-1, single_cls=False, sync_bn=False, total_batch_size=10, upload_dataset=False, weights='yolov5s.pt', workers=8, world_size=1)\n",
            "\u001b[34m\u001b[1mtensorboard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
            "2021-06-16 11:57:57.953769: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
            "\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.2, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, 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\n",
            "\u001b[34m\u001b[1mwandb: \u001b[0mInstall Weights & Biases for YOLOv5 logging with 'pip install wandb' (recommended)\n",
            "Overriding model.yaml nc=80 with nc=1\n",
            "\n",
            "                 from  n    params  module                                  arguments                     \n",
            "  0                -1  1      3520  models.common.Focus                     [3, 32, 3]                    \n",
            "  1                -1  1     18560  models.common.Conv                      [32, 64, 3, 2]                \n",
            "  2                -1  1     18816  models.common.C3                        [64, 64, 1]                   \n",
            "  3                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n",
            "  4                -1  1    156928  models.common.C3                        [128, 128, 3]                 \n",
            "  5                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]              \n",
            "  6                -1  1    625152  models.common.C3                        [256, 256, 3]                 \n",
            "  7                -1  1   1180672  models.common.Conv                      [256, 512, 3, 2]              \n",
            "  8                -1  1    656896  models.common.SPP                       [512, 512, [5, 9, 13]]        \n",
            "  9                -1  1   1182720  models.common.C3                        [512, 512, 1, False]          \n",
            " 10                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 11                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 12           [-1, 6]  1         0  models.common.Concat                    [1]                           \n",
            " 13                -1  1    361984  models.common.C3                        [512, 256, 1, False]          \n",
            " 14                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 15                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 16           [-1, 4]  1         0  models.common.Concat                    [1]                           \n",
            " 17                -1  1     90880  models.common.C3                        [256, 128, 1, False]          \n",
            " 18                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]              \n",
            " 19          [-1, 14]  1         0  models.common.Concat                    [1]                           \n",
            " 20                -1  1    296448  models.common.C3                        [256, 256, 1, False]          \n",
            " 21                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n",
            " 22          [-1, 10]  1         0  models.common.Concat                    [1]                           \n",
            " 23                -1  1   1182720  models.common.C3                        [512, 512, 1, False]          \n",
            " 24      [17, 20, 23]  1     16182  models.yolo.Detect                      [1, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]\n",
            "Model Summary: 283 layers, 7063542 parameters, 7063542 gradients, 16.4 GFLOPs\n",
            "\n",
            "Transferred 356/362 items from yolov5s.pt\n",
            "Scaled weight_decay = 0.00046875\n",
            "Optimizer groups: 62 .bias, 62 conv.weight, 59 other\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning '../train_data/labels/train.cache' images and labels... 37 found, 0 missing, 0 empty, 0 corrupted: 100% 37/37 [00:00<00:00, 247116.64it/s]\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mCaching images (0.0GB): 100% 37/37 [00:01<00:00, 34.62it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning '../train_data/labels/val.cache' images and labels... 5 found, 0 missing, 0 empty, 0 corrupted: 100% 5/5 [00:00<00:00, 31488.77it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mCaching images (0.0GB): 100% 5/5 [00:00<00:00,  9.60it/s]\n",
            "Plotting labels... \n",
            "\n",
            "\u001b[34m\u001b[1mautoanchor: \u001b[0mAnalyzing anchors... anchors/target = 4.68, Best Possible Recall (BPR) = 1.0000\n",
            "Image sizes 640 train, 640 test\n",
            "Using 2 dataloader workers\n",
            "Logging results to runs/train/exp4\n",
            "Starting training for 200 epochs...\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     0/199      1.5G    0.1152   0.02893         0    0.1441        16       640: 100% 4/4 [00:07<00:00,  1.77s/it]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00,  1.44it/s]\n",
            "                 all          5          5    0.00211        0.2   0.000431   4.31e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     1/199     2.01G    0.1123    0.0293         0    0.1416        15       640: 100% 4/4 [00:00<00:00,  6.10it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 10.88it/s]\n",
            "                 all          5          5    0.00189        0.2   0.000393   3.93e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     2/199     2.01G    0.1103   0.02794         0    0.1383        16       640: 100% 4/4 [00:00<00:00,  6.24it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 11.12it/s]\n",
            "                 all          5          5     0.0018        0.2   0.000382   3.82e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     3/199     2.01G    0.1062    0.0282         0    0.1344        12       640: 100% 4/4 [00:00<00:00,  6.31it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 11.56it/s]\n",
            "                 all          5          5    0.00174        0.4   0.000734   7.34e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     4/199     2.01G    0.1071   0.02818         0    0.1352        14       640: 100% 4/4 [00:00<00:00,  5.92it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.14it/s]\n",
            "                 all          5          5    0.00168        0.2   0.000687   6.87e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     5/199     2.01G    0.1099   0.02513         0     0.135        14       640: 100% 4/4 [00:00<00:00,  6.27it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.06it/s]\n",
            "                 all          5          5    0.00168        0.2   0.000368   7.36e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     6/199     2.01G   0.09576   0.02706         0    0.1228        10       640: 100% 4/4 [00:00<00:00,  5.47it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.94it/s]\n",
            "                 all          5          5    0.00221        0.4   0.000998   0.000139\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     7/199     2.01G   0.09178   0.02564         0    0.1174        11       640: 100% 4/4 [00:00<00:00,  6.15it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.78it/s]\n",
            "                 all          5          5     0.0021        0.4   0.000878   0.000124\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     8/199     2.01G   0.09427   0.02795         0    0.1222        18       640: 100% 4/4 [00:00<00:00,  6.10it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 13.67it/s]\n",
            "                 all          5          5   0.000871        0.2   0.000193   1.93e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     9/199     2.01G     0.092   0.02816         0    0.1202        15       640: 100% 4/4 [00:00<00:00,  6.41it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.21it/s]\n",
            "                 all          5          5    0.00273        0.2   0.000584   5.84e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    10/199     2.01G   0.09455   0.02843         0     0.123        20       640: 100% 4/4 [00:00<00:00,  5.95it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.23it/s]\n",
            "                 all          5          5     0.0033        0.2    0.00102   0.000233\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    11/199     2.01G   0.08794   0.02699         0    0.1149        17       640: 100% 4/4 [00:00<00:00,  6.33it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.57it/s]\n",
            "                 all          5          5    0.00457        0.4    0.00204   0.000204\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    12/199     2.01G   0.09085   0.02923         0    0.1201        15       640: 100% 4/4 [00:00<00:00,  5.00it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.88it/s]\n",
            "                 all          5          5    0.00533        0.2     0.0023   0.000282\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    13/199     2.01G   0.08581   0.02837         0    0.1142        12       640: 100% 4/4 [00:00<00:00,  6.18it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.01it/s]\n",
            "                 all          5          5    0.00915        0.2     0.0033    0.00033\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    14/199     2.01G   0.07911   0.02821         0    0.1073        13       640: 100% 4/4 [00:00<00:00,  5.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.19it/s]\n",
            "                 all          5          5     0.0109        0.2    0.00417   0.000417\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    15/199     2.01G   0.08113   0.02865         0    0.1098        12       640: 100% 4/4 [00:00<00:00,  6.30it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.07it/s]\n",
            "                 all          5          5     0.0132        0.4    0.00605   0.000605\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    16/199     2.01G   0.08159   0.02992         0    0.1115        15       640: 100% 4/4 [00:00<00:00,  5.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.98it/s]\n",
            "                 all          5          5     0.0103        0.2    0.00661     0.0018\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    17/199     2.01G   0.07165   0.02589         0   0.09754        16       640: 100% 4/4 [00:00<00:00,  6.09it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.13it/s]\n",
            "                 all          5          5     0.0214        0.4     0.0143    0.00222\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    18/199     2.01G    0.0708   0.02801         0   0.09881        18       640: 100% 4/4 [00:00<00:00,  6.14it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.57it/s]\n",
            "                 all          5          5     0.0347        0.4     0.0205    0.00251\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    19/199     2.01G   0.08125   0.03279         0     0.114        19       640: 100% 4/4 [00:00<00:00,  6.27it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.63it/s]\n",
            "                 all          5          5     0.0225        0.4     0.0191    0.00412\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    20/199     2.01G   0.07152    0.0286         0    0.1001         9       640: 100% 4/4 [00:00<00:00,  6.33it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.10it/s]\n",
            "                 all          5          5      0.066        0.2       0.03    0.00315\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    21/199     2.01G   0.07137   0.02825         0   0.09962        14       640: 100% 4/4 [00:00<00:00,  5.89it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.65it/s]\n",
            "                 all          5          5      0.139        0.2     0.0552    0.00652\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    22/199     2.01G   0.06986   0.03423         0    0.1041        19       640: 100% 4/4 [00:00<00:00,  6.23it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.09it/s]\n",
            "                 all          5          5      0.234        0.2     0.0826     0.0187\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    23/199     2.01G   0.06962   0.02871         0   0.09833        13       640: 100% 4/4 [00:00<00:00,  6.28it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.56it/s]\n",
            "                 all          5          5      0.247        0.2      0.101     0.0221\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    24/199     2.01G   0.06704   0.02849         0   0.09553        14       640: 100% 4/4 [00:00<00:00,  5.23it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.01it/s]\n",
            "                 all          5          5      0.322        0.2      0.166     0.0315\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    25/199     2.01G   0.05872   0.02847         0    0.0872         9       640: 100% 4/4 [00:00<00:00,  6.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.37it/s]\n",
            "                 all          5          5      0.256        0.4      0.214      0.029\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    26/199     2.01G   0.06454   0.03353         0   0.09807        15       640: 100% 4/4 [00:00<00:00,  6.90it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 13.28it/s]\n",
            "                 all          5          5       0.48        0.4      0.299     0.0472\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    27/199     2.01G   0.06046   0.03195         0   0.09241        10       640: 100% 4/4 [00:00<00:00,  6.27it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.25it/s]\n",
            "                 all          5          5      0.418        0.6       0.43      0.072\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    28/199     2.01G   0.06503   0.03091         0   0.09594        17       640: 100% 4/4 [00:00<00:00,  6.57it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.66it/s]\n",
            "                 all          5          5      0.488        0.6      0.455     0.0696\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    29/199     2.01G   0.06263   0.02914         0   0.09176        15       640: 100% 4/4 [00:00<00:00,  6.90it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.86it/s]\n",
            "                 all          5          5      0.748        0.6      0.565      0.107\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    30/199     2.01G   0.05908   0.03056         0   0.08964        17       640: 100% 4/4 [00:00<00:00,  6.01it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.93it/s]\n",
            "                 all          5          5      0.743      0.584      0.585      0.107\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    31/199     2.01G   0.06011   0.02914         0   0.08924        17       640: 100% 4/4 [00:00<00:00,  6.71it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.90it/s]\n",
            "                 all          5          5      0.661      0.784      0.651      0.164\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    32/199     2.01G   0.05772   0.03008         0    0.0878        15       640: 100% 4/4 [00:00<00:00,  6.64it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.22it/s]\n",
            "                 all          5          5      0.997        0.6      0.679      0.131\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    33/199     2.01G   0.05662   0.03474         0   0.09136        14       640: 100% 4/4 [00:00<00:00,  6.58it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.11it/s]\n",
            "                 all          5          5      0.797        0.8       0.88      0.167\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    34/199     2.01G   0.05837   0.03271         0   0.09108        18       640: 100% 4/4 [00:00<00:00,  6.65it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.79it/s]\n",
            "                 all          5          5          1      0.798       0.92       0.21\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    35/199     2.01G   0.05962   0.03318         0   0.09279        22       640: 100% 4/4 [00:00<00:00,  6.37it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.85it/s]\n",
            "                 all          5          5      0.999        0.6      0.795      0.288\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    36/199     2.01G   0.05381   0.02872         0   0.08253        18       640: 100% 4/4 [00:00<00:00,  6.56it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.39it/s]\n",
            "                 all          5          5          1      0.994      0.995       0.27\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    37/199     2.01G   0.05678   0.02464         0   0.08143        16       640: 100% 4/4 [00:00<00:00,  6.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.42it/s]\n",
            "                 all          5          5      0.624      0.997      0.853      0.316\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    38/199     2.01G   0.04935   0.02422         0   0.07357        13       640: 100% 4/4 [00:00<00:00,  6.77it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.93it/s]\n",
            "                 all          5          5      0.799      0.797      0.718      0.298\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    39/199     2.01G   0.05659    0.0275         0   0.08409        13       640: 100% 4/4 [00:00<00:00,  6.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.72it/s]\n",
            "                 all          5          5       0.75        0.6      0.709      0.232\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    40/199     2.01G    0.0476   0.02656         0   0.07416        17       640: 100% 4/4 [00:00<00:00,  6.71it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.41it/s]\n",
            "                 all          5          5      0.619          1      0.803      0.335\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    41/199     2.01G   0.04769   0.02332         0   0.07101        10       640: 100% 4/4 [00:00<00:00,  6.17it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.69it/s]\n",
            "                 all          5          5      0.999        0.6      0.751       0.36\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    42/199     2.01G   0.05215    0.0282         0   0.08036        18       640: 100% 4/4 [00:00<00:00,  6.33it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.04it/s]\n",
            "                 all          5          5      0.748        0.6       0.68      0.205\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    43/199     2.01G   0.05206   0.02278         0   0.07484        15       640: 100% 4/4 [00:00<00:00,  6.76it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.56it/s]\n",
            "                 all          5          5      0.624          1      0.795      0.275\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    44/199     2.01G   0.04988   0.02461         0   0.07449        16       640: 100% 4/4 [00:00<00:00,  6.03it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.83it/s]\n",
            "                 all          5          5      0.833      0.997      0.895      0.334\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    45/199     2.01G   0.04746   0.02713         0   0.07459        14       640: 100% 4/4 [00:00<00:00,  6.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.32it/s]\n",
            "                 all          5          5      0.833      0.999      0.895      0.251\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    46/199     2.01G   0.04902   0.02828         0    0.0773        18       640: 100% 4/4 [00:00<00:00,  6.68it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.13it/s]\n",
            "                 all          5          5          1      0.998      0.995      0.424\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    47/199     2.01G   0.04589   0.02916         0   0.07505        18       640: 100% 4/4 [00:00<00:00,  6.92it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.55it/s]\n",
            "                 all          5          5      0.714      0.997      0.881      0.393\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    48/199     2.01G   0.04973   0.02541         0   0.07514        15       640: 100% 4/4 [00:00<00:00,  6.64it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.44it/s]\n",
            "                 all          5          5      0.711          1      0.881      0.376\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    49/199     2.01G   0.04727   0.02497         0   0.07223        14       640: 100% 4/4 [00:00<00:00,  6.41it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.27it/s]\n",
            "                 all          5          5      0.997          1      0.995      0.298\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    50/199     2.01G   0.04802   0.02429         0   0.07231        15       640: 100% 4/4 [00:00<00:00,  6.67it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.59it/s]\n",
            "                 all          5          5      0.999          1      0.995        0.6\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    51/199     2.01G   0.04413   0.02439         0   0.06852        19       640: 100% 4/4 [00:00<00:00,  6.50it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.23it/s]\n",
            "                 all          5          5          1          1      0.995      0.397\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    52/199     2.01G   0.04502   0.02415         0   0.06916        13       640: 100% 4/4 [00:00<00:00,  5.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.75it/s]\n",
            "                 all          5          5      0.833          1      0.928      0.463\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    53/199     2.01G   0.04229   0.02028         0   0.06257        14       640: 100% 4/4 [00:00<00:00,  6.76it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.13it/s]\n",
            "                 all          5          5      0.714          1      0.881      0.127\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    54/199     2.01G   0.04901   0.02236         0   0.07138        16       640: 100% 4/4 [00:00<00:00,  6.46it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.01it/s]\n",
            "                 all          5          5        0.4        0.8      0.486     0.0902\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    55/199     2.01G   0.04953   0.01892         0   0.06845        14       640: 100% 4/4 [00:00<00:00,  6.37it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.67it/s]\n",
            "                 all          5          5      0.998          1      0.995      0.311\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    56/199     2.01G   0.04618   0.02457         0   0.07075        16       640: 100% 4/4 [00:00<00:00,  6.62it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.11it/s]\n",
            "                 all          5          5      0.714          1      0.824      0.358\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    57/199     2.01G   0.04517   0.02272         0   0.06789        18       640: 100% 4/4 [00:00<00:00,  6.69it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.01it/s]\n",
            "                 all          5          5          1          1      0.995       0.42\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    58/199     2.01G   0.04228   0.02017         0   0.06245        20       640: 100% 4/4 [00:00<00:00,  6.68it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.66it/s]\n",
            "                 all          5          5      0.999          1      0.995      0.445\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    59/199     2.01G   0.04959   0.02389         0   0.07348        19       640: 100% 4/4 [00:00<00:00,  6.28it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.54it/s]\n",
            "                 all          5          5      0.714      0.999      0.824      0.311\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    60/199     2.01G   0.04648   0.01809         0   0.06456         9       640: 100% 4/4 [00:00<00:00,  6.63it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.96it/s]\n",
            "                 all          5          5      0.333          1      0.364       0.12\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    61/199     2.01G   0.05098   0.02044         0   0.07142        17       640: 100% 4/4 [00:00<00:00,  6.51it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.05it/s]\n",
            "                 all          5          5      0.598        0.6      0.654      0.126\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    62/199     2.01G   0.05729   0.01656         0   0.07385        12       640: 100% 4/4 [00:00<00:00,  6.57it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.54it/s]\n",
            "                 all          5          5          1      0.998      0.995       0.33\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    63/199     2.01G   0.04688   0.01752         0    0.0644        15       640: 100% 4/4 [00:00<00:00,  6.39it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.32it/s]\n",
            "                 all          5          5      0.625      0.999      0.787      0.345\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    64/199     2.01G   0.04359   0.01758         0   0.06117         9       640: 100% 4/4 [00:00<00:00,  6.62it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.80it/s]\n",
            "                 all          5          5      0.832          1      0.895      0.417\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    65/199     2.01G   0.04733    0.0195         0   0.06683        18       640: 100% 4/4 [00:00<00:00,  6.94it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.31it/s]\n",
            "                 all          5          5      0.555          1      0.737      0.344\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    66/199     2.01G   0.04023   0.01857         0    0.0588        10       640: 100% 4/4 [00:00<00:00,  5.66it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.60it/s]\n",
            "                 all          5          5      0.625          1      0.803      0.496\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    67/199     2.01G   0.04279   0.02023         0   0.06302        19       640: 100% 4/4 [00:00<00:00,  6.57it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.02it/s]\n",
            "                 all          5          5      0.833      0.998      0.895      0.344\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    68/199     2.01G   0.04128   0.02042         0    0.0617        16       640: 100% 4/4 [00:00<00:00,  6.73it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.75it/s]\n",
            "                 all          5          5          1      0.999      0.995      0.416\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    69/199     2.01G   0.03879   0.01673         0   0.05552        12       640: 100% 4/4 [00:00<00:00,  6.34it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.95it/s]\n",
            "                 all          5          5      0.454          1      0.586      0.277\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    70/199     2.01G   0.05651   0.01571         0   0.07222        10       640: 100% 4/4 [00:00<00:00,  6.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.88it/s]\n",
            "                 all          5          5       0.75        0.6      0.678      0.274\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    71/199     2.01G   0.05042   0.01597         0   0.06639        13       640: 100% 4/4 [00:00<00:00,  6.50it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.71it/s]\n",
            "                 all          5          5      0.999          1      0.995      0.437\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    72/199     2.01G   0.04145   0.01757         0   0.05901        14       640: 100% 4/4 [00:00<00:00,  6.37it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.78it/s]\n",
            "                 all          5          5      0.714      0.999      0.881        0.5\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    73/199     2.01G   0.04751   0.01946         0   0.06697        18       640: 100% 4/4 [00:00<00:00,  6.73it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.81it/s]\n",
            "                 all          5          5          1          1      0.995      0.477\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    74/199     2.01G   0.05003   0.01696         0   0.06699        16       640: 100% 4/4 [00:00<00:00,  6.77it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.37it/s]\n",
            "                 all          5          5      0.625      0.998      0.622      0.324\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    75/199     2.01G   0.04557   0.02113         0    0.0667        18       640: 100% 4/4 [00:00<00:00,  6.39it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.86it/s]\n",
            "                 all          5          5      0.831          1      0.928      0.357\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    76/199     2.01G   0.04527   0.01896         0   0.06423        22       640: 100% 4/4 [00:00<00:00,  6.53it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.38it/s]\n",
            "                 all          5          5      0.998        0.8      0.938      0.488\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    77/199     2.01G   0.04282   0.02023         0   0.06305        18       640: 100% 4/4 [00:00<00:00,  6.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.52it/s]\n",
            "                 all          5          5      0.998          1      0.995      0.227\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    78/199     2.01G   0.03584   0.01694         0   0.05278        10       640: 100% 4/4 [00:00<00:00,  6.55it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.46it/s]\n",
            "                 all          5          5          1          1      0.995      0.709\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    79/199     2.01G   0.04623   0.01647         0    0.0627        22       640: 100% 4/4 [00:00<00:00,  6.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.47it/s]\n",
            "                 all          5          5      0.333          1      0.547      0.135\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    80/199     2.01G   0.05094   0.01774         0   0.06867        17       640: 100% 4/4 [00:00<00:00,  6.94it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 13.84it/s]\n",
            "                 all          5          5      0.962        0.6      0.795       0.28\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    81/199     2.01G   0.04026   0.01777         0   0.05803        14       640: 100% 4/4 [00:00<00:00,  6.59it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.58it/s]\n",
            "                 all          5          5      0.554          1      0.717      0.205\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    82/199     2.01G   0.04383   0.01498         0   0.05881        15       640: 100% 4/4 [00:00<00:00,  6.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.06it/s]\n",
            "                 all          5          5      0.833      0.997      0.928      0.338\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    83/199     2.01G   0.04622   0.01747         0   0.06369        17       640: 100% 4/4 [00:00<00:00,  7.47it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.91it/s]\n",
            "                 all          5          5          1          1      0.995      0.672\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    84/199     2.01G   0.03862   0.02118         0    0.0598        17       640: 100% 4/4 [00:00<00:00,  6.59it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.50it/s]\n",
            "                 all          5          5          1      0.998      0.995      0.651\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    85/199     2.01G   0.04523    0.0158         0   0.06103        16       640: 100% 4/4 [00:00<00:00,  6.71it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.09it/s]\n",
            "                 all          5          5      0.624          1      0.703      0.418\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    86/199     2.01G   0.04582   0.01525         0   0.06108        14       640: 100% 4/4 [00:00<00:00,  7.06it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 13.40it/s]\n",
            "                 all          5          5      0.625          1      0.803       0.48\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    87/199     2.01G   0.04253    0.0138         0   0.05634        13       640: 100% 4/4 [00:00<00:00,  6.61it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.52it/s]\n",
            "                 all          5          5      0.832      0.991      0.895      0.461\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    88/199     2.01G   0.04856   0.01375         0   0.06231        15       640: 100% 4/4 [00:00<00:00,  6.26it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.24it/s]\n",
            "                 all          5          5      0.714          1      0.831      0.382\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    89/199     2.01G   0.04429   0.01645         0   0.06074        14       640: 100% 4/4 [00:00<00:00,  6.89it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.56it/s]\n",
            "                 all          5          5      0.833          1      0.928      0.546\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    90/199     2.01G   0.04001   0.01611         0   0.05612        17       640: 100% 4/4 [00:00<00:00,  6.14it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.77it/s]\n",
            "                 all          5          5          1      0.999      0.995      0.381\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    91/199     2.01G   0.04318   0.01609         0   0.05927        14       640: 100% 4/4 [00:00<00:00,  6.92it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.29it/s]\n",
            "                 all          5          5      0.428        0.6      0.553      0.176\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    92/199     2.01G   0.04459   0.01473         0   0.05931        14       640: 100% 4/4 [00:00<00:00,  6.95it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.17it/s]\n",
            "                 all          5          5      0.416          1      0.547      0.159\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    93/199     2.01G   0.04037   0.01845         0   0.05882        19       640: 100% 4/4 [00:00<00:00,  6.58it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.77it/s]\n",
            "                 all          5          5      0.999          1      0.995      0.408\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    94/199     2.01G   0.04028   0.01637         0   0.05665        20       640: 100% 4/4 [00:00<00:00,  6.61it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.49it/s]\n",
            "                 all          5          5      0.713      0.996      0.766      0.156\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    95/199     2.01G   0.04359   0.01484         0   0.05843        15       640: 100% 4/4 [00:00<00:00,  6.35it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.55it/s]\n",
            "                 all          5          5      0.714      0.998      0.881      0.222\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    96/199     2.01G   0.03164   0.01593         0   0.04757        12       640: 100% 4/4 [00:00<00:00,  6.30it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.08it/s]\n",
            "                 all          5          5      0.625          1      0.655      0.197\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    97/199     2.01G   0.04445    0.0155         0   0.05995        17       640: 100% 4/4 [00:00<00:00,  6.67it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.41it/s]\n",
            "                 all          5          5          1      0.998      0.995      0.517\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    98/199     2.01G   0.03736   0.01522         0   0.05258        16       640: 100% 4/4 [00:00<00:00,  6.96it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.01it/s]\n",
            "                 all          5          5          1          1      0.995      0.607\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "    99/199     2.01G   0.03636   0.01312         0   0.04948        11       640: 100% 4/4 [00:00<00:00,  6.24it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.23it/s]\n",
            "                 all          5          5          1      0.998      0.995      0.569\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   100/199     2.01G   0.03803    0.0127         0   0.05073        12       640: 100% 4/4 [00:00<00:00,  6.47it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.15it/s]\n",
            "                 all          5          5      0.625      0.998      0.845      0.258\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   101/199     2.01G   0.04277   0.01625         0   0.05902        18       640: 100% 4/4 [00:00<00:00,  6.52it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.17it/s]\n",
            "                 all          5          5          1        0.8      0.938       0.63\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   102/199     2.01G   0.03041    0.0115         0    0.0419        10       640: 100% 4/4 [00:00<00:00,  6.24it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 25.59it/s]\n",
            "                 all          5          5      0.714          1      0.831      0.388\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   103/199     2.01G   0.04277   0.01604         0   0.05881        16       640: 100% 4/4 [00:00<00:00,  6.87it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.74it/s]\n",
            "                 all          5          5        0.5      0.998      0.745      0.295\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   104/199     2.01G   0.04241   0.01249         0   0.05489        14       640: 100% 4/4 [00:00<00:00,  6.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.15it/s]\n",
            "                 all          5          5      0.714      0.999      0.881      0.403\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   105/199     2.01G    0.0351   0.01158         0   0.04669        10       640: 100% 4/4 [00:00<00:00,  6.42it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.16it/s]\n",
            "                 all          5          5          1          1      0.995      0.548\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   106/199     2.01G    0.0382   0.01674         0   0.05494        19       640: 100% 4/4 [00:00<00:00,  6.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.24it/s]\n",
            "                 all          5          5      0.714          1      0.898      0.433\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   107/199     2.01G   0.03621    0.0158         0     0.052        11       640: 100% 4/4 [00:00<00:00,  6.60it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.47it/s]\n",
            "                 all          5          5          1          1      0.995      0.666\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   108/199     2.01G   0.02737    0.0139         0   0.04126        16       640: 100% 4/4 [00:00<00:00,  6.11it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.51it/s]\n",
            "                 all          5          5          1      0.999      0.995      0.388\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   109/199     2.01G   0.04663   0.01349         0   0.06013        14       640: 100% 4/4 [00:00<00:00,  6.68it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.93it/s]\n",
            "                 all          5          5      0.625          1      0.845      0.526\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   110/199     2.01G   0.05134   0.01326         0    0.0646        15       640: 100% 4/4 [00:00<00:00,  6.75it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.79it/s]\n",
            "                 all          5          5      0.714          1      0.881      0.584\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   111/199     2.01G   0.04368   0.01333         0   0.05702        23       640: 100% 4/4 [00:00<00:00,  6.18it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.71it/s]\n",
            "                 all          5          5      0.833          1      0.862       0.44\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   112/199     2.01G   0.04115    0.0135         0   0.05465        13       640: 100% 4/4 [00:00<00:00,  6.65it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.89it/s]\n",
            "                 all          5          5      0.997          1      0.995       0.58\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   113/199     2.01G    0.0351   0.01357         0   0.04867        12       640: 100% 4/4 [00:00<00:00,  6.53it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.59it/s]\n",
            "                 all          5          5          1          1      0.995      0.684\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   114/199     2.01G   0.03195   0.01318         0   0.04513        17       640: 100% 4/4 [00:00<00:00,  6.47it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.95it/s]\n",
            "                 all          5          5      0.998          1      0.995      0.746\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   115/199     2.01G   0.04266   0.01414         0    0.0568        17       640: 100% 4/4 [00:00<00:00,  6.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.74it/s]\n",
            "                 all          5          5      0.714          1      0.781      0.315\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   116/199     2.01G   0.03609   0.01447         0   0.05056        17       640: 100% 4/4 [00:00<00:00,  6.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.04it/s]\n",
            "                 all          5          5      0.832          1      0.862      0.353\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   117/199     2.01G   0.02525   0.01233         0   0.03758        12       640: 100% 4/4 [00:00<00:00,  6.92it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.00it/s]\n",
            "                 all          5          5      0.999          1      0.995       0.52\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   118/199     2.01G    0.0283   0.01572         0   0.04402        17       640: 100% 4/4 [00:00<00:00,  6.70it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.66it/s]\n",
            "                 all          5          5          1          1      0.995      0.716\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   119/199     2.01G   0.02714   0.01171         0   0.03885        12       640: 100% 4/4 [00:00<00:00,  6.77it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.42it/s]\n",
            "                 all          5          5          1          1      0.995      0.704\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   120/199     2.01G   0.02554   0.01187         0   0.03741        11       640: 100% 4/4 [00:00<00:00,  6.51it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.45it/s]\n",
            "                 all          5          5          1          1      0.995      0.734\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   121/199     2.01G   0.02383    0.0121         0   0.03594        12       640: 100% 4/4 [00:00<00:00,  6.56it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.84it/s]\n",
            "                 all          5          5          1          1      0.995      0.812\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   122/199     2.01G   0.02449   0.01158         0   0.03606        14       640: 100% 4/4 [00:00<00:00,  6.43it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.04it/s]\n",
            "                 all          5          5          1          1      0.995      0.767\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   123/199     2.01G   0.02392   0.01211         0   0.03604        14       640: 100% 4/4 [00:00<00:00,  6.65it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.19it/s]\n",
            "                 all          5          5          1          1      0.995      0.688\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   124/199     2.01G   0.02605   0.01377         0   0.03982        20       640: 100% 4/4 [00:00<00:00,  6.62it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.13it/s]\n",
            "                 all          5          5          1          1      0.995      0.709\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   125/199     2.01G   0.02435    0.0113         0   0.03565        12       640: 100% 4/4 [00:00<00:00,  6.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.41it/s]\n",
            "                 all          5          5          1          1      0.995      0.655\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   126/199     2.01G   0.02472   0.01172         0   0.03644        15       640: 100% 4/4 [00:00<00:00,  6.77it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.92it/s]\n",
            "                 all          5          5          1          1      0.995      0.729\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   127/199     2.01G   0.02528   0.01123         0   0.03652        14       640: 100% 4/4 [00:00<00:00,  6.16it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.45it/s]\n",
            "                 all          5          5          1          1      0.995      0.653\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   128/199     2.01G   0.02871   0.01267         0   0.04138        17       640: 100% 4/4 [00:00<00:00,  6.94it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.59it/s]\n",
            "                 all          5          5          1          1      0.995      0.732\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   129/199     2.01G   0.02549   0.01162         0    0.0371        13       640: 100% 4/4 [00:00<00:00,  6.61it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 25.06it/s]\n",
            "                 all          5          5          1          1      0.995      0.704\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   130/199     2.01G   0.03044  0.009673         0   0.04012        11       640: 100% 4/4 [00:00<00:00,  6.72it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.62it/s]\n",
            "                 all          5          5          1          1      0.995      0.668\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   131/199     2.01G    0.0282   0.01151         0   0.03971        17       640: 100% 4/4 [00:00<00:00,  5.41it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.41it/s]\n",
            "                 all          5          5          1          1      0.995       0.72\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   132/199     2.01G   0.02406   0.01391         0   0.03798        20       640: 100% 4/4 [00:00<00:00,  6.63it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.92it/s]\n",
            "                 all          5          5          1          1      0.995      0.737\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   133/199     2.01G   0.02804   0.01171         0   0.03975        17       640: 100% 4/4 [00:00<00:00,  6.50it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.06it/s]\n",
            "                 all          5          5          1          1      0.995       0.76\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   134/199     2.01G    0.0266   0.01303         0   0.03962        14       640: 100% 4/4 [00:00<00:00,  6.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.85it/s]\n",
            "                 all          5          5          1          1      0.995      0.721\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   135/199     2.01G   0.02369   0.01044         0   0.03413        13       640: 100% 4/4 [00:00<00:00,  6.99it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.58it/s]\n",
            "                 all          5          5          1          1      0.995      0.739\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   136/199     2.01G   0.02206   0.01089         0   0.03295        11       640: 100% 4/4 [00:00<00:00,  6.91it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 11.13it/s]\n",
            "                 all          5          5          1          1      0.995      0.816\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   137/199     2.01G   0.02625   0.01281         0   0.03906        17       640: 100% 4/4 [00:00<00:00,  6.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.06it/s]\n",
            "                 all          5          5          1          1      0.995      0.741\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   138/199     2.01G   0.02595   0.01398         0   0.03993        16       640: 100% 4/4 [00:00<00:00,  6.56it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.16it/s]\n",
            "                 all          5          5          1          1      0.995      0.781\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   139/199     2.01G   0.02482    0.0136         0   0.03842        20       640: 100% 4/4 [00:00<00:00,  6.57it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.30it/s]\n",
            "                 all          5          5          1          1      0.995      0.772\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   140/199     2.01G   0.02339  0.009878         0   0.03327        15       640: 100% 4/4 [00:00<00:00,  7.33it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.91it/s]\n",
            "                 all          5          5          1          1      0.995      0.766\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   141/199     2.01G   0.02363   0.01313         0   0.03676        20       640: 100% 4/4 [00:00<00:00,  6.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.22it/s]\n",
            "                 all          5          5          1          1      0.995      0.741\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   142/199     2.01G   0.02449  0.009919         0    0.0344        12       640: 100% 4/4 [00:00<00:00,  6.48it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.50it/s]\n",
            "                 all          5          5          1          1      0.995      0.788\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   143/199     2.01G   0.02578      0.01         0   0.03579        11       640: 100% 4/4 [00:00<00:00,  6.61it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.39it/s]\n",
            "                 all          5          5          1          1      0.995      0.794\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   144/199     2.01G   0.02293   0.01347         0    0.0364        27       640: 100% 4/4 [00:00<00:00,  6.92it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.64it/s]\n",
            "                 all          5          5          1          1      0.995      0.719\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   145/199     2.01G   0.02204   0.01283         0   0.03487        14       640: 100% 4/4 [00:00<00:00,  6.66it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.83it/s]\n",
            "                 all          5          5          1          1      0.995      0.802\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   146/199     2.01G   0.02463  0.009583         0   0.03421        12       640: 100% 4/4 [00:00<00:00,  6.66it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.42it/s]\n",
            "                 all          5          5          1          1      0.995      0.802\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   147/199     2.01G   0.02417   0.01043         0   0.03461        13       640: 100% 4/4 [00:00<00:00,  6.67it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 25.88it/s]\n",
            "                 all          5          5          1          1      0.995      0.733\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   148/199     2.01G   0.02673   0.01147         0    0.0382        15       640: 100% 4/4 [00:00<00:00,  6.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.07it/s]\n",
            "                 all          5          5          1          1      0.995      0.767\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   149/199     2.01G   0.02585   0.01008         0   0.03593        12       640: 100% 4/4 [00:00<00:00,  6.97it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.09it/s]\n",
            "                 all          5          5          1          1      0.995      0.636\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   150/199     2.01G   0.02457   0.01192         0   0.03648        17       640: 100% 4/4 [00:00<00:00,  7.18it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 12.54it/s]\n",
            "                 all          5          5          1          1      0.995      0.789\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   151/199     2.01G   0.02232   0.01237         0   0.03469        17       640: 100% 4/4 [00:00<00:00,  6.91it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.09it/s]\n",
            "                 all          5          5          1          1      0.995      0.789\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   152/199     2.01G   0.02212   0.01164         0   0.03375        18       640: 100% 4/4 [00:00<00:00,  6.51it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 25.73it/s]\n",
            "                 all          5          5          1          1      0.995      0.815\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   153/199     2.01G   0.02006   0.01005         0   0.03011        13       640: 100% 4/4 [00:00<00:00,  6.53it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.05it/s]\n",
            "                 all          5          5          1          1      0.995      0.816\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   154/199     2.01G   0.02371   0.01063         0   0.03434        13       640: 100% 4/4 [00:00<00:00,  6.69it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.95it/s]\n",
            "                 all          5          5          1          1      0.995      0.733\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   155/199     2.01G   0.02434   0.01083         0   0.03517        14       640: 100% 4/4 [00:00<00:00,  6.93it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.73it/s]\n",
            "                 all          5          5          1          1      0.995       0.81\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   156/199     2.01G   0.02175  0.008959         0    0.0307        11       640: 100% 4/4 [00:00<00:00,  7.09it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.09it/s]\n",
            "                 all          5          5          1          1      0.995      0.722\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   157/199     2.01G   0.02199   0.01058         0   0.03257        15       640: 100% 4/4 [00:00<00:00,  6.47it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.39it/s]\n",
            "                 all          5          5          1          1      0.995       0.78\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   158/199     2.01G   0.02238   0.01006         0   0.03244         8       640: 100% 4/4 [00:00<00:00,  7.15it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.64it/s]\n",
            "                 all          5          5          1          1      0.995      0.822\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   159/199     2.01G   0.02508   0.01009         0   0.03517        10       640: 100% 4/4 [00:00<00:00,  6.78it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.84it/s]\n",
            "                 all          5          5          1          1      0.995      0.809\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   160/199     2.01G   0.02316   0.01176         0   0.03492        24       640: 100% 4/4 [00:00<00:00,  6.53it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.12it/s]\n",
            "                 all          5          5          1          1      0.995      0.816\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   161/199     2.01G   0.02002   0.01005         0   0.03007        14       640: 100% 4/4 [00:00<00:00,  7.30it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 15.36it/s]\n",
            "                 all          5          5          1          1      0.995      0.727\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   162/199     2.01G   0.02248   0.01059         0   0.03307        17       640: 100% 4/4 [00:00<00:00,  6.60it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.50it/s]\n",
            "                 all          5          5          1          1      0.995      0.665\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   163/199     2.01G   0.03234   0.01211         0   0.04445        20       640: 100% 4/4 [00:00<00:00,  6.01it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.57it/s]\n",
            "                 all          5          5      0.625      0.999      0.787      0.359\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   164/199     2.01G   0.04779   0.01065         0   0.05844        18       640: 100% 4/4 [00:00<00:00,  7.12it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.49it/s]\n",
            "                 all          5          5      0.625      0.999      0.787      0.359\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   165/199     2.01G   0.04761   0.01117         0   0.05878        12       640: 100% 4/4 [00:00<00:00,  6.62it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.77it/s]\n",
            "                 all          5          5      0.713          1      0.824      0.309\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   166/199     2.01G   0.04231   0.00927         0   0.05158        10       640: 100% 4/4 [00:00<00:00,  6.89it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.20it/s]\n",
            "                 all          5          5          1      0.795      0.895      0.536\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   167/199     2.01G   0.03436   0.00966         0   0.04402        13       640: 100% 4/4 [00:00<00:00,  6.47it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.72it/s]\n",
            "                 all          5          5      0.999        0.8      0.938      0.553\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   168/199     2.01G   0.03828   0.01002         0    0.0483        14       640: 100% 4/4 [00:00<00:00,  6.57it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.55it/s]\n",
            "                 all          5          5          1          1      0.995      0.654\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   169/199     2.01G   0.03387   0.01299         0   0.04686        17       640: 100% 4/4 [00:00<00:00,  6.69it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.73it/s]\n",
            "                 all          5          5          1          1      0.995      0.654\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   170/199     2.01G   0.03151   0.01379         0    0.0453        18       640: 100% 4/4 [00:00<00:00,  6.61it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.41it/s]\n",
            "                 all          5          5      0.833      0.999      0.962      0.637\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   171/199     2.01G   0.02887   0.01204         0   0.04091        15       640: 100% 4/4 [00:00<00:00,  6.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.83it/s]\n",
            "                 all          5          5      0.833      0.998      0.962      0.769\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   172/199     2.01G   0.02399   0.01153         0   0.03552        16       640: 100% 4/4 [00:00<00:00,  7.37it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.22it/s]\n",
            "                 all          5          5          1          1      0.995      0.824\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   173/199     2.01G   0.02546   0.01459         0   0.04005        13       640: 100% 4/4 [00:00<00:00,  6.52it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 25.09it/s]\n",
            "                 all          5          5          1          1      0.995      0.765\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   174/199     2.01G   0.03754   0.01378         0   0.05133        23       640: 100% 4/4 [00:00<00:00,  7.31it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.22it/s]\n",
            "                 all          5          5          1          1      0.995      0.765\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   175/199     2.01G   0.04304   0.01196         0     0.055        15       640: 100% 4/4 [00:00<00:00,  6.77it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 16.11it/s]\n",
            "                 all          5          5      0.833          1      0.895      0.689\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   176/199     2.01G   0.03341    0.0101         0    0.0435        10       640: 100% 4/4 [00:00<00:00,  6.66it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 14.34it/s]\n",
            "                 all          5          5          1      0.999      0.995      0.658\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   177/199     2.01G   0.03408   0.01302         0    0.0471        21       640: 100% 4/4 [00:00<00:00,  6.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.42it/s]\n",
            "                 all          5          5          1          1      0.995      0.632\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   178/199     2.01G   0.03307   0.01181         0   0.04489        15       640: 100% 4/4 [00:00<00:00,  6.77it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.45it/s]\n",
            "                 all          5          5      0.831          1      0.928      0.391\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   179/199     2.01G   0.03608   0.01026         0   0.04634        16       640: 100% 4/4 [00:00<00:00,  7.16it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.68it/s]\n",
            "                 all          5          5      0.831          1      0.928      0.391\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   180/199     2.01G   0.03878   0.01023         0   0.04901        16       640: 100% 4/4 [00:00<00:00,  6.61it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 25.47it/s]\n",
            "                 all          5          5      0.833      0.999      0.928      0.358\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   181/199     2.01G   0.03619   0.01345         0   0.04964        17       640: 100% 4/4 [00:00<00:00,  6.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.29it/s]\n",
            "                 all          5          5      0.831          1      0.895      0.708\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   182/199     2.01G   0.03098   0.01164         0   0.04261        16       640: 100% 4/4 [00:00<00:00,  6.32it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.16it/s]\n",
            "                 all          5          5      0.833          1      0.962      0.576\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   183/199     2.01G   0.03309  0.009883         0   0.04297        10       640: 100% 4/4 [00:00<00:00,  6.67it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.48it/s]\n",
            "                 all          5          5          1          1      0.995      0.493\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   184/199     2.01G   0.03416   0.01183         0   0.04598        11       640: 100% 4/4 [00:00<00:00,  7.17it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 17.91it/s]\n",
            "                 all          5          5          1          1      0.995      0.493\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   185/199     2.01G   0.03347  0.009632         0    0.0431        17       640: 100% 4/4 [00:00<00:00,  6.56it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 18.17it/s]\n",
            "                 all          5          5          1          1      0.995      0.252\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   186/199     2.01G   0.03272   0.01161         0   0.04433        13       640: 100% 4/4 [00:00<00:00,  6.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.62it/s]\n",
            "                 all          5          5          1      0.999      0.995      0.327\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   187/199     2.01G   0.03052    0.0111         0   0.04162        19       640: 100% 4/4 [00:00<00:00,  6.65it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 20.10it/s]\n",
            "                 all          5          5          1          1      0.995       0.73\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   188/199     2.01G   0.02865   0.01237         0   0.04102        16       640: 100% 4/4 [00:00<00:00,  6.93it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.13it/s]\n",
            "                 all          5          5          1          1      0.995      0.389\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   189/199     2.01G   0.03125   0.01377         0   0.04502        15       640: 100% 4/4 [00:00<00:00,  6.34it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.41it/s]\n",
            "                 all          5          5          1          1      0.995      0.389\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   190/199     2.01G   0.03109    0.0135         0   0.04459        18       640: 100% 4/4 [00:00<00:00,  6.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 23.87it/s]\n",
            "                 all          5          5      0.623          1      0.845      0.342\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   191/199     2.01G   0.02723   0.01162         0   0.03884        19       640: 100% 4/4 [00:00<00:00,  6.58it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.64it/s]\n",
            "                 all          5          5      0.832          1      0.962        0.4\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   192/199     2.01G   0.02641   0.01254         0   0.03894        17       640: 100% 4/4 [00:00<00:00,  6.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.33it/s]\n",
            "                 all          5          5          1          1      0.995      0.709\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   193/199     2.01G   0.02886    0.0104         0   0.03926        11       640: 100% 4/4 [00:00<00:00,  6.34it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.27it/s]\n",
            "                 all          5          5          1          1      0.995      0.704\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   194/199     2.01G   0.03222   0.01079         0   0.04301        12       640: 100% 4/4 [00:00<00:00,  6.98it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 19.73it/s]\n",
            "                 all          5          5          1          1      0.995      0.704\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   195/199     2.01G   0.02995   0.01121         0   0.04117        13       640: 100% 4/4 [00:00<00:00,  6.13it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 24.53it/s]\n",
            "                 all          5          5          1          1      0.995      0.669\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   196/199     2.01G   0.02773   0.01159         0   0.03933        15       640: 100% 4/4 [00:00<00:00,  6.54it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.25it/s]\n",
            "                 all          5          5          1          1      0.995      0.734\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   197/199     2.01G   0.02399  0.009851         0   0.03384        13       640: 100% 4/4 [00:00<00:00,  6.50it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 22.17it/s]\n",
            "                 all          5          5          1          1      0.995      0.727\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   198/199     2.01G   0.02774   0.01352         0   0.04126        19       640: 100% 4/4 [00:00<00:00,  6.72it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00, 21.12it/s]\n",
            "                 all          5          5          1          1      0.995      0.682\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "   199/199     2.01G   0.03644   0.01183         0   0.04827        14       640: 100% 4/4 [00:00<00:00,  6.97it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 1/1 [00:00<00:00,  9.24it/s]\n",
            "                 all          5          5          1          1      0.995      0.682\n",
            "200 epochs completed in 0.090 hours.\n",
            "\n",
            "Optimizer stripped from runs/train/exp4/weights/last.pt, 14.4MB\n",
            "Optimizer stripped from runs/train/exp4/weights/best.pt, 14.4MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "15glLzbQx5u0"
      },
      "source": [
        "# 4. Visualize"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DLI1JmHU7B0l"
      },
      "source": [
        "## Weights & Biases Logging 🌟 NEW\n",
        "\n",
        "[Weights & Biases](https://wandb.ai/site?utm_campaign=repo_yolo_notebook) (W&B) is now integrated with YOLOv5 for real-time visualization and cloud logging of training runs. This allows for better run comparison and introspection, as well improved visibility and collaboration for teams. To enable W&B `pip install wandb`, and then train normally (you will be guided through setup on first use). \n",
        "\n",
        "During training you will see live updates at [https://wandb.ai/home](https://wandb.ai/home?utm_campaign=repo_yolo_notebook), and you can create and share detailed [Reports](https://wandb.ai/glenn-jocher/yolov5_tutorial/reports/YOLOv5-COCO128-Tutorial-Results--VmlldzozMDI5OTY) of your results. For more information see the [YOLOv5 Weights & Biases Tutorial](https://github.com/ultralytics/yolov5/issues/1289). \n",
        "\n",
        "<img src=\"https://user-images.githubusercontent.com/26833433/98184457-bd3da580-1f0a-11eb-8461-95d908a71893.jpg\" width=\"800\">"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-WPvRbS5Swl6"
      },
      "source": [
        "## Local Logging\n",
        "\n",
        "All results are logged by default to `runs/train`, with a new experiment directory created for each new training as `runs/train/exp2`, `runs/train/exp3`, etc. View train and test jpgs to see mosaics, labels, predictions and augmentation effects. Note a **Mosaic Dataloader** is used for training (shown below), a new concept developed by Ultralytics and first featured in [YOLOv4](https://arxiv.org/abs/2004.10934)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "riPdhraOTCO0"
      },
      "source": [
        "Image(filename='runs/train/exp/train_batch0.jpg', width=800)  # train batch 0 mosaics and labels\n",
        "Image(filename='runs/train/exp/test_batch0_labels.jpg', width=800)  # test batch 0 labels\n",
        "Image(filename='runs/train/exp/test_batch0_pred.jpg', width=800)  # test batch 0 predictions"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OYG4WFEnTVrI"
      },
      "source": [
        "> <img src=\"https://user-images.githubusercontent.com/26833433/83667642-90fcb200-a583-11ea-8fa3-338bbf7da194.jpeg\" width=\"750\">  \n",
        "`train_batch0.jpg` shows train batch 0 mosaics and labels\n",
        "\n",
        "> <img src=\"https://user-images.githubusercontent.com/26833433/83667626-8c37fe00-a583-11ea-997b-0923fe59b29b.jpeg\" width=\"750\">  \n",
        "`test_batch0_labels.jpg` shows test batch 0 labels\n",
        "\n",
        "> <img src=\"https://user-images.githubusercontent.com/26833433/83667635-90641b80-a583-11ea-8075-606316cebb9c.jpeg\" width=\"750\">  \n",
        "`test_batch0_pred.jpg` shows test batch 0 _predictions_\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7KN5ghjE6ZWh"
      },
      "source": [
        "Training losses and performance metrics are also logged to [Tensorboard](https://www.tensorflow.org/tensorboard) and a custom `results.txt` logfile which is plotted as `results.png` (below) after training completes. Here we show YOLOv5s trained on COCO128 to 300 epochs, starting from scratch (blue), and from pretrained `--weights yolov5s.pt` (orange)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MDznIqPF7nk3"
      },
      "source": [
        "from utils.plots import plot_results \n",
        "plot_results(save_dir='runs/train/exp')  # plot all results*.txt as results.png\n",
        "Image(filename='runs/train/exp/results.png', width=800)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lfrEegCSW3fK"
      },
      "source": [
        "<img src=\"https://user-images.githubusercontent.com/26833433/97808309-8182b180-1c66-11eb-8461-bffe1a79511d.png\" width=\"800\">\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zelyeqbyt3GD"
      },
      "source": [
        "# Environments\n",
        "\n",
        "YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):\n",
        "\n",
        "- **Google Colab and Kaggle** notebooks with free GPU: <a href=\"https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"></a> <a href=\"https://www.kaggle.com/ultralytics/yolov5\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open In Kaggle\"></a>\n",
        "- **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart)\n",
        "- **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart)\n",
        "- **Docker Image**. See [Docker Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/Docker-Quickstart) <a href=\"https://hub.docker.com/r/ultralytics/yolov5\"><img src=\"https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker\" alt=\"Docker Pulls\"></a>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6Qu7Iesl0p54"
      },
      "source": [
        "# Status\n",
        "\n",
        "![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)\n",
        "\n",
        "If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([test.py](https://github.com/ultralytics/yolov5/blob/master/test.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/models/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IEijrePND_2I"
      },
      "source": [
        "# Appendix\n",
        "\n",
        "Optional extras below. Unit tests validate repo functionality and should be run on any PRs submitted.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gI6NoBev8Ib1"
      },
      "source": [
        "# Re-clone repo\n",
        "%cd ..\n",
        "%rm -rf yolov5 && git clone https://github.com/ultralytics/yolov5\n",
        "%cd yolov5"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mcKoSIK2WSzj"
      },
      "source": [
        "# Reproduce\n",
        "for x in 'yolov5s', 'yolov5m', 'yolov5l', 'yolov5x':\n",
        "  !python test.py --weights {x}.pt --data coco.yaml --img 640 --conf 0.25 --iou 0.45  # speed\n",
        "  !python test.py --weights {x}.pt --data coco.yaml --img 640 --conf 0.001 --iou 0.65  # mAP"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GMusP4OAxFu6"
      },
      "source": [
        "# PyTorch Hub\n",
        "import torch\n",
        "\n",
        "# Model\n",
        "model = torch.hub.load('ultralytics/yolov5', 'yolov5s')\n",
        "\n",
        "# Images\n",
        "dir = 'https://github.com/ultralytics/yolov5/raw/master/data/images/'\n",
        "imgs = [dir + f for f in ('zidane.jpg', 'bus.jpg')]  # batch of images\n",
        "\n",
        "# Inference\n",
        "results = model(imgs)\n",
        "results.print()  # or .show(), .save()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FGH0ZjkGjejy"
      },
      "source": [
        "# Unit tests\n",
        "%%shell\n",
        "export PYTHONPATH=\"$PWD\"  # to run *.py. files in subdirectories\n",
        "\n",
        "rm -rf runs  # remove runs/\n",
        "for m in yolov5s; do  # models\n",
        "  python train.py --weights $m.pt --epochs 3 --img 320 --device 0  # train pretrained\n",
        "  python train.py --weights '' --cfg $m.yaml --epochs 3 --img 320 --device 0  # train scratch\n",
        "  for d in 0 cpu; do  # devices\n",
        "    python detect.py --weights $m.pt --device $d  # detect official\n",
        "    python detect.py --weights runs/train/exp/weights/best.pt --device $d  # detect custom\n",
        "    python test.py --weights $m.pt --device $d # test official\n",
        "    python test.py --weights runs/train/exp/weights/best.pt --device $d # test custom\n",
        "  done\n",
        "  python hubconf.py  # hub\n",
        "  python models/yolo.py --cfg $m.yaml  # inspect\n",
        "  python models/export.py --weights $m.pt --img 640 --batch 1  # export\n",
        "done"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gogI-kwi3Tye"
      },
      "source": [
        "# Profile\n",
        "from utils.torch_utils import profile \n",
        "\n",
        "m1 = lambda x: x * torch.sigmoid(x)\n",
        "m2 = torch.nn.SiLU()\n",
        "profile(x=torch.randn(16, 3, 640, 640), ops=[m1, m2], n=100)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RVRSOhEvUdb5"
      },
      "source": [
        "# Evolve\n",
        "!python train.py --img 640 --batch 64 --epochs 100 --data coco128.yaml --weights yolov5s.pt --cache --noautoanchor --evolve\n",
        "!d=runs/train/evolve && cp evolve.* $d && zip -r evolve.zip $d && gsutil mv evolve.zip gs://bucket  # upload results (optional)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BSgFCAcMbk1R"
      },
      "source": [
        "# VOC\n",
        "for b, m in zip([64, 48, 32, 16], ['yolov5s', 'yolov5m', 'yolov5l', 'yolov5x']):  # zip(batch_size, model)\n",
        "  !python train.py --batch {b} --weights {m}.pt --data voc.yaml --epochs 50 --cache --img 512 --nosave --hyp hyp.finetune.yaml --project VOC --name {m}"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}