YOLOv5_p2_binary_nightvision_bs128.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ie5uLDH4uzAp",
        "outputId": "f546e8b2-a43f-4f30-ebc8-1723a0295edd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Cloning into 'yolov5'...\n",
            "remote: Enumerating objects: 14302, done.\u001b[K\n",
            "remote: Counting objects: 100% (60/60), done.\u001b[K\n",
            "remote: Compressing objects: 100% (51/51), done.\u001b[K\n",
            "remote: Total 14302 (delta 26), reused 30 (delta 9), pack-reused 14242\u001b[K\n",
            "Receiving objects: 100% (14302/14302), 13.65 MiB | 17.10 MiB/s, done.\n",
            "Resolving deltas: 100% (9833/9833), done.\n",
            "/content/yolov5\n",
            "HEAD is now at fbe67e4 Fix `OMP_NUM_THREADS=1` for macOS (#8624)\n"
          ]
        }
      ],
      "source": [
        "# clone YOLOv5 repository\n",
        "!git clone https://github.com/ultralytics/yolov5  # clone repo\n",
        "%cd yolov5\n",
        "!git reset --hard fbe67e465375231474a2ad80a4389efc77ecff99"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wbvMlHd_QwMG",
        "outputId": "60b99738-c355-444f-91b5-83f6597ea715"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "\u001b[?25hSetup complete. Using torch 1.12.1+cu113 _CudaDeviceProperties(name='Tesla T4', major=7, minor=5, total_memory=15109MB, multi_processor_count=40)\n"
          ]
        }
      ],
      "source": [
        "# install dependencies as necessary\n",
        "!pip install -qr requirements.txt  # install dependencies (ignore errors)\n",
        "import torch\n",
        "\n",
        "from IPython.display import Image, clear_output  # to display images\n",
        "from utils.downloads import attempt_download  # to download models/datasets\n",
        "\n",
        "# clear_output()\n",
        "print('Setup complete. Using torch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Knxi2ncxWffW",
        "outputId": "3e0fe112-5ffd-481f-bd5a-e618725c8a3f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting roboflow\n",
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            "  Downloading requests-2.28.1-py3-none-any.whl (62 kB)\n",
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            "Building wheels for collected packages: wget\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9674 sha256=0235656fcff8daba5c8a58c93337c449da7b0c4e98a321d113a81a8e1a64b845\n",
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            "Successfully built wget\n",
            "Installing collected packages: urllib3, certifi, requests, pyparsing, cycler, wget, requests-toolbelt, python-dotenv, chardet, roboflow\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
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            "    Found existing installation: certifi 2022.9.24\n",
            "    Uninstalling certifi-2022.9.24:\n",
            "      Successfully uninstalled certifi-2022.9.24\n",
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            "    Found existing installation: requests 2.23.0\n",
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            "      Successfully uninstalled requests-2.23.0\n",
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            "    Found existing installation: pyparsing 3.0.9\n",
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            "      Successfully uninstalled pyparsing-3.0.9\n",
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            "      Successfully uninstalled chardet-3.0.4\n",
            "Successfully installed certifi-2021.5.30 chardet-4.0.0 cycler-0.10.0 pyparsing-2.4.7 python-dotenv-0.21.0 requests-2.28.1 requests-toolbelt-0.10.1 roboflow-0.2.21 urllib3-1.26.6 wget-3.2\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "certifi",
                  "chardet",
                  "cycler",
                  "pyparsing",
                  "requests",
                  "urllib3"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "loading Roboflow workspace...\n",
            "loading Roboflow project...\n",
            "Downloading Dataset Version Zip in Mul-1 to yolov5pytorch: 100% [260753788 / 260753788] bytes\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Extracting Dataset Version Zip to Mul-1 in yolov5pytorch:: 100%|██████████| 9593/9593 [00:02<00:00, 3357.32it/s]\n"
          ]
        }
      ],
      "source": [
        "!pip install roboflow\n",
        "\n",
        "from roboflow import Roboflow\n",
        "rf = Roboflow(api_key=\"TBSZIcJvZGLN6tqEEfeO\")\n",
        "project = rf.workspace(\"night-vision-mmcmp\").project(\"mul\")\n",
        "dataset = project.version(1).download(\"yolov5\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ug_PhK1oqwQA",
        "outputId": "9277f4f9-c40d-4bbb-bed0-b53602c898f0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/yolov5\n",
            "names:\n",
            "- Bird\n",
            "- Drone\n",
            "- Helicopter\n",
            "- Plane\n",
            "nc: 4\n",
            "roboflow:\n",
            "  license: CC BY 4.0\n",
            "  project: mul\n",
            "  url: https://universe.roboflow.com/night-vision-mmcmp/mul/dataset/1\n",
            "  version: 1\n",
            "  workspace: night-vision-mmcmp\n",
            "test: ../test/images\n",
            "train: Mul-1/train/images\n",
            "val: Mul-1/valid/images\n"
          ]
        }
      ],
      "source": [
        "%cd /content/yolov5\n",
        "#after following the link above, recieve python code with these fields filled in\n",
        "#from roboflow import Roboflow\n",
        "#rf = Roboflow(api_key=\"YOUR API KEY HERE\")\n",
        "#project = rf.workspace().project(\"YOUR PROJECT\")\n",
        "#dataset = project.version(\"YOUR VERSION\").download(\"yolov5\")\n",
        "# this is the YAML file Roboflow wrote for us that we're loading into this notebook with our data\n",
        "%cat {dataset.location}/data.yaml"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dOPn9wjOAwwK"
      },
      "outputs": [],
      "source": [
        "# define number of classes based on YAML\n",
        "import yaml\n",
        "with open(dataset.location + \"/data.yaml\", 'r') as stream:\n",
        "    num_classes = str(yaml.safe_load(stream)['nc'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Rvt5wilnDyX",
        "outputId": "b5e05d0d-145d-4831-9169-4639754a4659"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "# YOLOv5 🚀 by Ultralytics, GPL-3.0 license\n",
            "\n",
            "# Parameters\n",
            "nc: 80  # number of classes\n",
            "depth_multiple: 1.0  # model depth multiple\n",
            "width_multiple: 1.0  # layer channel multiple\n",
            "anchors: 3  # AutoAnchor evolves 3 anchors per P output layer\n",
            "\n",
            "# YOLOv5 v6.0 backbone\n",
            "backbone:\n",
            "  # [from, number, module, args]\n",
            "  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2\n",
            "   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4\n",
            "   [-1, 3, C3, [128]],\n",
            "   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8\n",
            "   [-1, 6, C3, [256]],\n",
            "   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16\n",
            "   [-1, 9, C3, [512]],\n",
            "   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32\n",
            "   [-1, 3, C3, [1024]],\n",
            "   [-1, 1, SPPF, [1024, 5]],  # 9\n",
            "  ]\n",
            "\n",
            "# YOLOv5 v6.0 head with (P2, P3, P4, P5) outputs\n",
            "head:\n",
            "  [[-1, 1, Conv, [512, 1, 1]],\n",
            "   [-1, 1, nn.Upsample, [None, 2, 'nearest']],\n",
            "   [[-1, 6], 1, Concat, [1]],  # cat backbone P4\n",
            "   [-1, 3, C3, [512, False]],  # 13\n",
            "\n",
            "   [-1, 1, Conv, [256, 1, 1]],\n",
            "   [-1, 1, nn.Upsample, [None, 2, 'nearest']],\n",
            "   [[-1, 4], 1, Concat, [1]],  # cat backbone P3\n",
            "   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)\n",
            "\n",
            "   [-1, 1, Conv, [128, 1, 1]],\n",
            "   [-1, 1, nn.Upsample, [None, 2, 'nearest']],\n",
            "   [[-1, 2], 1, Concat, [1]],  # cat backbone P2\n",
            "   [-1, 1, C3, [128, False]],  # 21 (P2/4-xsmall)\n",
            "\n",
            "   [-1, 1, Conv, [128, 3, 2]],\n",
            "   [[-1, 18], 1, Concat, [1]],  # cat head P3\n",
            "   [-1, 3, C3, [256, False]],  # 24 (P3/8-small)\n",
            "\n",
            "   [-1, 1, Conv, [256, 3, 2]],\n",
            "   [[-1, 14], 1, Concat, [1]],  # cat head P4\n",
            "   [-1, 3, C3, [512, False]],  # 27 (P4/16-medium)\n",
            "\n",
            "   [-1, 1, Conv, [512, 3, 2]],\n",
            "   [[-1, 10], 1, Concat, [1]],  # cat head P5\n",
            "   [-1, 3, C3, [1024, False]],  # 30 (P5/32-large)\n",
            "\n",
            "   [[21, 24, 27, 30], 1, Detect, [nc, anchors]],  # Detect(P2, P3, P4, P5)\n",
            "  ]\n"
          ]
        }
      ],
      "source": [
        "#this is the model configuration we will use for our tutorial \n",
        "%cat //content/yolov5/models/hub/yolov5-p2.yaml"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "t14hhyqdmw6O"
      },
      "outputs": [],
      "source": [
        "#customize iPython writefile so we can write variables\n",
        "from IPython.core.magic import register_line_cell_magic\n",
        "\n",
        "@register_line_cell_magic\n",
        "def writetemplate(line, cell):\n",
        "    with open(line, 'w') as f:\n",
        "        f.write(cell.format(**globals()))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uDxebz13RdRA"
      },
      "outputs": [],
      "source": [
        "%%writetemplate /content/yolov5/models/custom_YOLOv5-p2.yaml\n",
        "\n",
        "# parameters\n",
        "nc: {num_classes}  # number of classes\n",
        "depth_multiple: 1.0  # model depth multiple\n",
        "width_multiple: 1.0  # layer channel multiple\n",
        "anchors: 3  # AutoAnchor evolves 3 anchors per P output layer\n",
        "\n",
        "# YOLOv5 v6.0 backbone\n",
        "backbone:\n",
        "  # [from, number, module, args]\n",
        "  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2\n",
        "   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4\n",
        "   [-1, 3, C3, [128]],\n",
        "   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8\n",
        "   [-1, 6, C3, [256]],\n",
        "   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16\n",
        "   [-1, 9, C3, [512]],\n",
        "   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32\n",
        "   [-1, 3, C3, [1024]],\n",
        "   [-1, 1, SPPF, [1024, 5]],  # 9\n",
        "  ]\n",
        "\n",
        "# YOLOv5 v6.0 head with (P2, P3, P4, P5) outputs\n",
        "head:\n",
        "  [[-1, 1, Conv, [512, 1, 1]],\n",
        "   [-1, 1, nn.Upsample, [None, 2, 'nearest']],\n",
        "   [[-1, 6], 1, Concat, [1]],  # cat backbone P4\n",
        "   [-1, 3, C3, [512, False]],  # 13\n",
        "\n",
        "   [-1, 1, Conv, [256, 1, 1]],\n",
        "   [-1, 1, nn.Upsample, [None, 2, 'nearest']],\n",
        "   [[-1, 4], 1, Concat, [1]],  # cat backbone P3\n",
        "   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)\n",
        "\n",
        "   [-1, 1, Conv, [128, 1, 1]],\n",
        "   [-1, 1, nn.Upsample, [None, 2, 'nearest']],\n",
        "   [[-1, 2], 1, Concat, [1]],  # cat backbone P2\n",
        "   [-1, 1, C3, [128, False]],  # 21 (P2/4-xsmall)\n",
        "\n",
        "   [-1, 1, Conv, [128, 3, 2]],\n",
        "   [[-1, 18], 1, Concat, [1]],  # cat head P3\n",
        "   [-1, 3, C3, [256, False]],  # 24 (P3/8-small)\n",
        "\n",
        "   [-1, 1, Conv, [256, 3, 2]],\n",
        "   [[-1, 14], 1, Concat, [1]],  # cat head P4\n",
        "   [-1, 3, C3, [512, False]],  # 27 (P4/16-medium)\n",
        "\n",
        "   [-1, 1, Conv, [512, 3, 2]],\n",
        "   [[-1, 10], 1, Concat, [1]],  # cat head P5\n",
        "   [-1, 3, C3, [1024, False]],  # 30 (P5/32-large)\n",
        "\n",
        "   [[21, 24, 27, 30], 1, Detect, [nc, anchors]],  # Detect(P2, P3, P4, P5)\n",
        "  ]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "1NcFxRcFdJ_O",
        "outputId": "04e3c657-5f65-41aa-8665-6d98ffcd6096"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/yolov5\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mweights=, cfg=./models/custom_YOLOv5-p2.yaml, data=/content/yolov5/Mul-1/data.yaml, hyp=data/hyps/hyp.scratch-high.yaml, epochs=500, batch_size=64, imgsz=256, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=AdamW, sync_bn=False, workers=8, project=runs/train, name=YOLOv5-p2_results, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n",
            "\u001b[34m\u001b[1mgithub: \u001b[0m⚠️ YOLOv5 is out of date by 387 commits. Use `git pull` or `git clone https://github.com/ultralytics/yolov5` to update.\n",
            "YOLOv5 🚀 v6.1-306-gfbe67e4 Python-3.8.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)\n",
            "\n",
            "\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.1, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.3, cls_pw=1.0, obj=0.7, 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=0.9, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.1, copy_paste=0.1\n",
            "\u001b[34m\u001b[1mWeights & Biases: \u001b[0mrun 'pip install wandb' to automatically track and visualize YOLOv5 🚀 runs (RECOMMENDED)\n",
            "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
            "Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...\n",
            "100% 755k/755k [00:00<00:00, 140MB/s]\n",
            "\n",
            "                 from  n    params  module                                  arguments                     \n",
            "  0                -1  1      7040  models.common.Conv                      [3, 64, 6, 2, 2]              \n",
            "  1                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n",
            "  2                -1  3    156928  models.common.C3                        [128, 128, 3]                 \n",
            "  3                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]              \n",
            "  4                -1  6   1118208  models.common.C3                        [256, 256, 6]                 \n",
            "  5                -1  1   1180672  models.common.Conv                      [256, 512, 3, 2]              \n",
            "  6                -1  9   6433792  models.common.C3                        [512, 512, 9]                 \n",
            "  7                -1  1   4720640  models.common.Conv                      [512, 1024, 3, 2]             \n",
            "  8                -1  3   9971712  models.common.C3                        [1024, 1024, 3]               \n",
            "  9                -1  1   2624512  models.common.SPPF                      [1024, 1024, 5]               \n",
            " 10                -1  1    525312  models.common.Conv                      [1024, 512, 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  3   2757632  models.common.C3                        [1024, 512, 3, False]         \n",
            " 14                -1  1    131584  models.common.Conv                      [512, 256, 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  3    690688  models.common.C3                        [512, 256, 3, False]          \n",
            " 18                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 19                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 20           [-1, 2]  1         0  models.common.Concat                    [1]                           \n",
            " 21                -1  1     90880  models.common.C3                        [256, 128, 1, False]          \n",
            " 22                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]              \n",
            " 23          [-1, 18]  1         0  models.common.Concat                    [1]                           \n",
            " 24                -1  3    625152  models.common.C3                        [256, 256, 3, False]          \n",
            " 25                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n",
            " 26          [-1, 14]  1         0  models.common.Concat                    [1]                           \n",
            " 27                -1  3   2495488  models.common.C3                        [512, 512, 3, False]          \n",
            " 28                -1  1   2360320  models.common.Conv                      [512, 512, 3, 2]              \n",
            " 29          [-1, 10]  1         0  models.common.Concat                    [1]                           \n",
            " 30                -1  3   9971712  models.common.C3                        [1024, 1024, 3, False]        \n",
            " 31  [21, 24, 27, 30]  1     51948  models.yolo.Detect                      [4, [[0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5]], [128, 256, 512, 1024]]\n",
            "custom_YOLOv5-p2 summary: 544 layers, 47054700 parameters, 47054700 gradients, 123.5 GFLOPs\n",
            "\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "Scaled weight_decay = 0.0005\n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW with parameter groups 117 weight (no decay), 121 weight, 121 bias\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(always_apply=False, p=0.01, blur_limit=(3, 7)), MedianBlur(always_apply=False, p=0.01, blur_limit=(3, 7)), ToGray(always_apply=False, p=0.01), CLAHE(always_apply=False, p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning '/content/yolov5/Mul-1/train/labels' images and labels...4552 found, 0 missing, 0 empty, 0 corrupt: 100% 4552/4552 [00:02<00:00, 2135.73it/s]\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/yolov5/Mul-1/train/labels.cache\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mCaching images (0.9GB ram): 100% 4552/4552 [00:22<00:00, 206.52it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning '/content/yolov5/Mul-1/valid/labels' images and labels...240 found, 0 missing, 0 empty, 0 corrupt: 100% 240/240 [00:00<00:00, 682.65it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/yolov5/Mul-1/valid/labels.cache\n",
            "\u001b[34m\u001b[1mval: \u001b[0mCaching images (0.0GB ram): 100% 240/240 [00:01<00:00, 122.81it/s]\n",
            "Plotting labels to runs/train/YOLOv5-p2_results/labels.jpg... \n",
            "\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0m1.72 anchors/target, 0.330 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve...\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0mRunning kmeans for 12 anchors on 5051 points...\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0mEvolving anchors with Genetic Algorithm: fitness = 0.8108: 100% 1000/1000 [00:01<00:00, 670.55it/s]\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0mthr=0.25: 1.0000 best possible recall, 6.39 anchors past thr\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0mn=12, img_size=256, metric_all=0.342/0.811-mean/best, past_thr=0.528-mean: 6,8, 12,12, 19,15, 12,28, 38,38, 53,60, 75,47, 65,73, 99,58, 78,120, 125,88, 150,159\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0mDone ✅ (optional: update model *.yaml to use these anchors in the future)\n",
            "Image sizes 256 train, 256 val\n",
            "Using 2 dataloader workers\n",
            "Logging results to \u001b[1mruns/train/YOLOv5-p2_results\u001b[0m\n",
            "Starting training for 500 epochs...\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     0/499     7.93G   0.09772   0.00228   0.01816        21       256: 100% 72/72 [00:41<00:00,  1.74it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.25it/s]\n",
            "                 all        240          0          0          0          0          0\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     1/499     9.19G   0.08275  0.002404   0.01393         9       256: 100% 72/72 [00:37<00:00,  1.93it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:02<00:00,  1.09s/it]\n",
            "                 all        240        269      0.272      0.142     0.0159    0.00351\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     2/499     9.19G   0.07515  0.002336   0.01327        15       256: 100% 72/72 [00:37<00:00,  1.92it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:04<00:00,  2.12s/it]\n",
            "                 all        240        269      0.319       0.15     0.0488     0.0138\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     3/499     9.19G   0.07234  0.002359   0.01189        19       256: 100% 72/72 [00:38<00:00,  1.87it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.33it/s]\n",
            "                 all        240          0          0          0          0          0\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     4/499     9.19G    0.0684  0.002279   0.01056        20       256: 100% 72/72 [00:38<00:00,  1.89it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.437      0.233      0.176     0.0555\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     5/499     9.19G   0.06426  0.002276  0.008906        20       256: 100% 72/72 [00:38<00:00,  1.88it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.01it/s]\n",
            "                 all        240        269      0.496      0.186      0.232     0.0678\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     6/499     9.19G    0.0636  0.002212  0.009172        21       256: 100% 72/72 [00:38<00:00,  1.87it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.35it/s]\n",
            "                 all        240        269   0.000102    0.00281   5.74e-05   1.15e-05\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     7/499     9.19G   0.06672  0.002249   0.01055        20       256: 100% 72/72 [00:38<00:00,  1.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.04it/s]\n",
            "                 all        240        269      0.396      0.329      0.153     0.0489\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     8/499     9.19G   0.06229  0.002169   0.00865        15       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:02<00:00,  1.09s/it]\n",
            "                 all        240        269       0.65      0.303      0.324      0.111\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "     9/499     9.19G   0.05996  0.002087  0.007572        12       256: 100% 72/72 [00:38<00:00,  1.87it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.568      0.422      0.461       0.18\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    10/499     9.19G   0.05818  0.002057  0.006701        17       256: 100% 72/72 [00:38<00:00,  1.87it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.12it/s]\n",
            "                 all        240        269      0.386      0.502      0.373      0.127\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    11/499     9.19G   0.05802  0.002051  0.005965        20       256: 100% 72/72 [00:38<00:00,  1.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.516      0.316       0.35      0.132\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    12/499     9.19G   0.05667  0.002013  0.006207        14       256: 100% 72/72 [00:38<00:00,  1.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.579      0.393      0.382      0.151\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    13/499     9.19G   0.05578  0.002083  0.005439        13       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                 all        240        269      0.271      0.304      0.204     0.0884\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    14/499     9.19G   0.05421  0.001961  0.004863        13       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                 all        240        269      0.408       0.42      0.281      0.101\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    15/499     9.19G   0.05393  0.002004  0.004612        28       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                 all        240        269      0.266      0.358      0.182     0.0734\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    16/499     9.19G    0.0538  0.001991  0.005157        13       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                 all        240        269       0.45      0.442      0.415      0.156\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    17/499     9.19G   0.05204  0.001998  0.004177        15       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.458       0.54      0.494        0.2\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    18/499     9.19G   0.05077  0.001928  0.003932        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.103      0.528     0.0876     0.0341\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    19/499     9.19G   0.05011  0.001919  0.003831        15       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                 all        240        269       0.76      0.621      0.704      0.296\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    20/499     9.19G   0.04981  0.001877  0.003525        12       256: 100% 72/72 [00:38<00:00,  1.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                 all        240        269      0.689      0.642      0.698      0.273\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    21/499     9.19G   0.04953  0.001903  0.003647         4       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.648      0.518      0.557      0.239\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    22/499     9.19G   0.05812  0.002139  0.009185        17       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:00<00:00,  2.61it/s]\n",
            "                 all        240          0          0          0          0          0\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    23/499     9.19G   0.06003  0.002202  0.008581        21       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                 all        240        269      0.299      0.238      0.203      0.091\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    24/499     9.19G   0.05461  0.002069  0.006037         9       256: 100% 72/72 [00:38<00:00,  1.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.662      0.486      0.568      0.216\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    25/499     9.19G   0.05478  0.002004  0.006016        17       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.06it/s]\n",
            "                 all        240        269      0.355      0.548      0.343      0.138\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    26/499     9.19G    0.0527  0.001991  0.004723        19       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.507      0.526      0.475      0.176\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    27/499     9.19G   0.05089  0.001942  0.004057        21       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269       0.66      0.548      0.599      0.231\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    28/499     9.19G   0.04927  0.001912  0.003528        15       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.596      0.458      0.505      0.207\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    29/499     9.19G   0.04947   0.00194  0.003672        25       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.719      0.597      0.685      0.294\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    30/499     9.19G   0.04783  0.001899  0.003274         9       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.719      0.643      0.672      0.266\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    31/499     9.19G    0.0479  0.001853  0.003027        17       256: 100% 72/72 [00:39<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.629      0.535      0.606      0.233\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    32/499     9.19G   0.04712  0.001867  0.002959        19       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.689      0.493      0.599      0.264\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    33/499     9.19G   0.04633  0.001844  0.002899        15       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:02<00:00,  1.05s/it]\n",
            "                 all        240        269      0.743      0.602      0.699       0.31\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    34/499     9.19G   0.04716  0.001833  0.002803        12       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.824      0.547      0.666      0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    35/499     9.19G   0.04582  0.001816  0.002711        12       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.808      0.585      0.684      0.272\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    36/499     9.19G   0.04557  0.001837  0.002707        17       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.741      0.617      0.703      0.322\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    37/499     9.19G   0.04496  0.001792  0.002745        22       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.682      0.664      0.673      0.305\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    38/499     9.19G   0.04512  0.001805  0.002581        21       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.716      0.703       0.73      0.336\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    39/499     9.19G   0.04501   0.00183  0.002485        20       256: 100% 72/72 [00:39<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.772      0.688      0.756       0.31\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    40/499     9.19G   0.04393  0.001761  0.002518         6       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.828      0.655       0.74      0.305\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    41/499     9.19G   0.04485  0.001783  0.002665        19       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.758       0.74      0.774       0.34\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    42/499     9.19G   0.04311  0.001781  0.002358        11       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.739      0.719      0.746      0.289\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    43/499     9.19G   0.04375  0.001765  0.002327        17       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269       0.82      0.563      0.675      0.317\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    44/499     9.19G   0.04376  0.001748  0.002393        11       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.19it/s]\n",
            "                 all        240        269      0.665      0.414      0.421      0.175\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    45/499     9.19G   0.04299  0.001784  0.002218        13       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.773       0.66      0.747      0.326\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    46/499     9.19G   0.04307  0.001762  0.002333        10       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.867        0.6       0.73      0.327\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    47/499     9.19G   0.04333  0.001754  0.002235        13       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                 all        240        269      0.789       0.65      0.773      0.379\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    48/499     9.19G   0.04252   0.00175  0.002152        21       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.786      0.642      0.748      0.358\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    49/499     9.19G   0.04243  0.001717   0.00222        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.705      0.576      0.718      0.342\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    50/499     9.19G   0.04235  0.001744  0.001978        18       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.806      0.698      0.793       0.37\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    51/499     9.19G   0.04275  0.001757  0.002254        18       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.715      0.622      0.623      0.281\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    52/499     9.19G   0.04148  0.001751  0.001911        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.722      0.735       0.76      0.372\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    53/499     9.19G   0.04163  0.001706  0.001848        15       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269       0.85      0.739      0.831      0.405\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    54/499     9.19G   0.04168  0.001693   0.00185        15       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.861      0.734      0.835      0.379\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    55/499     9.19G   0.04238  0.001722  0.001928        19       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269       0.77       0.73      0.792       0.37\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    56/499     9.19G   0.04204  0.001714  0.002242        11       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.798      0.744      0.822      0.375\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    57/499     9.19G   0.04135  0.001678  0.001802        15       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.786       0.72      0.757      0.323\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    58/499     9.19G   0.04155  0.001759  0.001933        15       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269       0.85      0.691      0.782      0.369\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    59/499     9.19G   0.04102  0.002393  0.001858        19       256: 100% 72/72 [00:40<00:00,  1.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.809      0.727       0.79      0.365\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    60/499     9.19G   0.04103  0.001774  0.001932        17       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.862       0.75      0.823      0.399\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    61/499     9.19G   0.04097   0.00169   0.00183        17       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.737       0.68      0.739       0.34\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    62/499     9.19G   0.04032  0.001662  0.001675        20       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.836      0.807      0.843      0.382\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    63/499     9.19G   0.04035  0.001682  0.001684         9       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.18it/s]\n",
            "                 all        240        269      0.852      0.712      0.828      0.401\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    64/499     9.19G   0.04011  0.001655   0.00166        19       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.866      0.746      0.807       0.36\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    65/499     9.19G   0.03966  0.001711  0.001749        16       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.869      0.761      0.834      0.383\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    66/499     9.19G   0.04073  0.001693  0.001846         9       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.834      0.723      0.834      0.374\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    67/499     9.19G   0.03976  0.001639  0.001558        10       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.792      0.721      0.818      0.401\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    68/499     9.19G   0.04029  0.001675    0.0015        19       256: 100% 72/72 [00:39<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.769      0.732      0.827      0.419\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    69/499     9.19G   0.03983   0.00165  0.001799        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.10it/s]\n",
            "                 all        240        269      0.878      0.702      0.827      0.418\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    70/499     9.19G   0.03964  0.001654  0.001727         7       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.819      0.682      0.823      0.391\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    71/499     9.19G   0.03916  0.001663  0.001582        17       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.844      0.693      0.805      0.408\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    72/499     9.19G   0.03919  0.001653  0.001708        13       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.723      0.689      0.636      0.314\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    73/499     9.19G   0.03882  0.001668  0.001739        12       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.872      0.755       0.85      0.426\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    74/499     9.19G   0.03918  0.001659  0.001518        10       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269       0.82      0.758       0.84       0.41\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    75/499     9.19G   0.03788  0.001608  0.001519        17       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.839      0.781      0.876      0.448\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    76/499     9.19G   0.03889   0.00165  0.001511        18       256: 100% 72/72 [00:38<00:00,  1.86it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.861       0.79      0.869      0.415\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    77/499     9.19G   0.03897  0.001595  0.001533        21       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.847      0.798      0.881      0.429\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    78/499     9.19G   0.03886  0.001642  0.001659        15       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.816      0.733      0.834      0.407\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    79/499     9.19G    0.0393  0.001611   0.00165        14       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.882      0.721      0.826      0.368\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    80/499     9.19G     0.039  0.001664  0.001544        17       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.867      0.693      0.836      0.419\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    81/499     9.19G   0.03852   0.00167   0.00146        22       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.856      0.791      0.864      0.414\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    82/499     9.19G   0.03812  0.001615  0.001426        15       256: 100% 72/72 [00:38<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.885       0.74      0.859      0.422\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    83/499     9.19G    0.0381  0.001591  0.001674        12       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.744       0.76      0.811      0.404\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    84/499     9.19G   0.03843  0.001603   0.00166        15       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269       0.83      0.719       0.83      0.384\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    85/499     9.19G   0.03762  0.001579  0.001479        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.828      0.702      0.836      0.417\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    86/499     9.19G   0.03954  0.002352  0.002069        11       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.797      0.757      0.832      0.373\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    87/499     9.19G   0.03854  0.001684  0.001647        19       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.781       0.67      0.764      0.391\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    88/499     9.19G    0.0376  0.001623  0.001514        17       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.881      0.771      0.858      0.412\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    89/499     9.19G   0.03781  0.001592  0.001408        11       256: 100% 72/72 [00:39<00:00,  1.85it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.782      0.749      0.784      0.389\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    90/499     9.19G   0.03812  0.001584  0.001308        10       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269       0.81       0.74       0.82      0.412\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    91/499     9.19G   0.03709  0.001619   0.00134        10       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.871      0.748      0.869       0.43\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    92/499     9.19G   0.03764  0.001573  0.001339        17       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.867      0.772      0.862      0.431\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    93/499     9.19G   0.03723   0.00154  0.001168        14       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.888      0.685      0.834      0.443\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    94/499     9.19G   0.03715  0.001586   0.00136        19       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.884      0.784      0.882      0.448\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    95/499     9.19G   0.03655  0.001564  0.001408        21       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.882      0.768      0.888      0.464\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    96/499     9.19G     0.037  0.001575   0.00124        16       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.849      0.785      0.876      0.449\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    97/499     9.19G   0.03699  0.001566   0.00146        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.809      0.769      0.822      0.443\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    98/499     9.19G   0.03583  0.001583  0.001233        21       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269       0.86      0.787       0.87      0.429\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "    99/499     9.19G   0.03699  0.001569  0.001295        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.876      0.737      0.864       0.41\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   100/499     9.19G   0.03639  0.001567  0.001242        17       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.892      0.772      0.884      0.437\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   101/499     9.19G   0.03653  0.001572  0.001347         8       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.847      0.816      0.877      0.455\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   102/499     9.19G   0.03635  0.001591  0.001289        22       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.913       0.78      0.907      0.489\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   103/499     9.19G   0.03625  0.001576  0.001412        20       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.855      0.771       0.87      0.458\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   104/499     9.19G   0.03595  0.001566  0.001313        16       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.843      0.811      0.888      0.446\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   105/499     9.19G   0.03642  0.001538  0.001243         8       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.852      0.825      0.898      0.464\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   106/499     9.19G   0.03583  0.001519   0.00114        14       256: 100% 72/72 [00:39<00:00,  1.84it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.12it/s]\n",
            "                 all        240        269       0.88      0.745      0.862      0.457\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   107/499     9.19G   0.03589  0.001573  0.001189        15       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.875      0.792       0.89      0.457\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   108/499     9.19G    0.0354  0.001577  0.001122        15       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269       0.86      0.839      0.892      0.463\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   109/499     9.19G    0.0359  0.001591  0.001063        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.867      0.837      0.905      0.468\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   110/499     9.19G   0.03547   0.00152  0.001225        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.863      0.782      0.909      0.476\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   111/499     9.19G   0.03583  0.001503  0.001097        10       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.894      0.796      0.908      0.497\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   112/499     9.19G   0.03536  0.001523  0.001178        13       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                 all        240        269      0.854       0.77       0.88      0.483\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   113/499     9.19G   0.03608  0.001544  0.001182        12       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.874      0.823      0.899      0.454\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   114/499     9.19G   0.03536  0.001525  0.000981        13       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.884      0.835       0.91      0.463\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   115/499     9.19G    0.0354  0.001504  0.001004        13       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.857      0.783      0.888      0.463\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   116/499     9.19G   0.03586  0.001543  0.001296         8       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.872      0.833      0.923      0.479\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   117/499     9.19G   0.03571  0.001542  0.001117         9       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269       0.86      0.792      0.901      0.456\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   118/499     9.19G   0.03507  0.001522  0.001156        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.882      0.824      0.929      0.467\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   119/499     9.19G   0.03501  0.001554  0.001285        26       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.887      0.797      0.911      0.463\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   120/499     9.19G   0.03483  0.001493  0.001198         8       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.806       0.79        0.9      0.473\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   121/499     9.19G   0.03502  0.001531  0.001156        16       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.839      0.747       0.89      0.476\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   122/499     9.19G   0.03492  0.001529  0.001078        20       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.897      0.771      0.899      0.464\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   123/499     9.19G   0.03499  0.001505   0.00109         9       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.892      0.773      0.905      0.479\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   124/499     9.19G   0.03496  0.001519  0.001217        20       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269       0.87      0.845      0.922      0.473\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   125/499     9.19G    0.0347   0.00151  0.001106        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.856      0.799      0.909       0.49\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   126/499     9.19G   0.03442  0.001502  0.001153        12       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.864      0.819      0.907      0.483\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   127/499     9.19G   0.03425  0.001465  0.001115        13       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.875      0.839      0.922      0.484\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   128/499     9.19G   0.03467  0.001498  0.001068        14       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269       0.85      0.817      0.909      0.497\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   129/499     9.19G   0.03379  0.001504 0.0009779        17       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.874      0.768      0.908      0.495\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   130/499     9.19G   0.03414  0.001527   0.00106        22       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.886      0.834      0.926      0.494\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   131/499     9.19G   0.03347    0.0015  0.000856         9       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.12it/s]\n",
            "                 all        240        269      0.863      0.838      0.921      0.483\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   132/499     9.19G   0.03444  0.001463 0.0008759        18       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.903      0.831       0.93      0.485\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   133/499     9.19G   0.03444  0.001526  0.001129        13       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.867      0.806      0.918      0.486\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   134/499     9.19G   0.03491  0.001466  0.001018        14       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.858      0.844      0.928       0.49\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   135/499     9.19G   0.03351  0.001503  0.001041        29       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.851      0.837      0.928      0.492\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   136/499     9.19G   0.03391  0.001506     0.001        14       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.852      0.848      0.935        0.5\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   137/499     9.19G   0.03371  0.001434 0.0008731        14       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                 all        240        269      0.893      0.851      0.943      0.496\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   138/499     9.19G   0.03369  0.001448 0.0008952        15       256: 100% 72/72 [00:40<00:00,  1.79it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.876      0.851      0.946      0.496\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   139/499     9.19G   0.03371  0.001473 0.0009389        18       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.901      0.874      0.948      0.502\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   140/499     9.19G     0.034  0.001487  0.001106        14       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.909      0.857      0.946      0.507\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   141/499     9.19G   0.03366  0.001457 0.0009927        20       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.891      0.865      0.951      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   142/499     9.19G   0.03428  0.001481 0.0009671        10       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.914      0.873      0.957      0.506\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   143/499     9.19G   0.03327  0.001463 0.0008847        14       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.918      0.859      0.951      0.511\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   144/499     9.19G   0.03394  0.001506  0.001199        20       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.893      0.852      0.943      0.499\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   145/499     9.19G   0.03319  0.001442  0.001141        14       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.885      0.849      0.941      0.503\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   146/499     9.19G   0.03354  0.001457 0.0009403        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.865      0.863      0.939      0.507\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   147/499     9.19G   0.03339  0.001466 0.0009632        11       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.905      0.843      0.943      0.502\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   148/499     9.19G    0.0332  0.001447 0.0009432        21       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.908      0.851      0.941      0.496\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   149/499     9.19G    0.0336  0.001484  0.001033        18       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.888      0.851      0.947       0.51\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   150/499     9.19G   0.03324  0.001451   0.00103        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.853      0.878      0.946      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   151/499     9.19G     0.033  0.001452 0.0008629         9       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.896      0.858      0.948      0.514\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   152/499     9.19G   0.03299  0.001428  0.000899        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269        0.9      0.853      0.946      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   153/499     9.19G   0.03267  0.001446  0.000992        10       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.913      0.852      0.952      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   154/499     9.19G   0.03256  0.001382 0.0009696        15       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.912      0.856      0.948      0.506\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   155/499     9.19G   0.03255  0.001436 0.0009498        15       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.925      0.852      0.952      0.513\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   156/499     9.19G   0.03281  0.001454 0.0009316        16       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                 all        240        269       0.91      0.868      0.953      0.514\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   157/499     9.19G   0.03297  0.001445 0.0009696         7       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.893      0.867      0.955      0.518\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   158/499     9.19G   0.03232  0.001417 0.0007704        20       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.907      0.845      0.955      0.513\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   159/499     9.19G   0.03285  0.001404  0.000946        22       256: 100% 72/72 [00:40<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.915      0.839      0.949       0.52\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   160/499     9.19G   0.03261  0.001461 0.0008653        22       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.902      0.837       0.95      0.525\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   161/499     9.19G   0.03208  0.001381 0.0008168        25       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.887      0.839       0.95      0.523\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   162/499     9.19G   0.03235  0.001452 0.0009661        13       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.891      0.848      0.955       0.52\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   163/499     9.19G   0.03258   0.00143 0.0009218        14       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.891      0.835      0.951      0.518\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   164/499     9.19G   0.03274  0.001451 0.0008764        11       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.887      0.834      0.948      0.512\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   165/499     9.19G   0.03264  0.001408 0.0009303        15       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269       0.89      0.848      0.953      0.512\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   166/499     9.19G    0.0321  0.001392 0.0007223        11       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.898      0.857      0.956      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   167/499     9.19G   0.03196  0.001385 0.0008469        16       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.899      0.868      0.959      0.506\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   168/499     9.19G   0.03262  0.001423  0.001009        21       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.895      0.858      0.957      0.497\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   169/499     9.19G    0.0327  0.001412 0.0008029        15       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.894      0.873      0.957      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   170/499     9.19G    0.0323  0.001408 0.0008628        18       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.894      0.862      0.955      0.507\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   171/499     9.19G   0.03173  0.001399 0.0007561        16       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.896      0.863      0.956      0.507\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   172/499     9.19G   0.03205  0.001423 0.0008591        14       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.894      0.858      0.953      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   173/499     9.19G   0.03203  0.001401   0.00091        12       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269        0.9      0.869      0.954      0.506\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   174/499     9.19G   0.03253   0.00139 0.0008608        19       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.901      0.862      0.954      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   175/499     9.19G   0.03166  0.001384 0.0008281        17       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.899      0.858      0.953      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   176/499     9.19G   0.03184  0.001401 0.0007895        24       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.898      0.871      0.954      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   177/499     9.19G   0.03179   0.00137 0.0008408        12       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.893      0.876      0.955      0.511\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   178/499     9.19G   0.03177  0.001399 0.0008731        13       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.893      0.869      0.956      0.511\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   179/499     9.19G   0.03156  0.001394   0.00077         9       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.903      0.868      0.957      0.511\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   180/499     9.19G   0.03117  0.001396 0.0007653        11       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.905       0.88      0.964      0.512\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   181/499     9.19G   0.03159   0.00139 0.0008293        20       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.902      0.881      0.966      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   182/499     9.19G   0.03154  0.001389 0.0007612        13       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.903      0.872      0.964      0.513\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   183/499     9.19G   0.03132  0.001391 0.0007924        18       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.918      0.873      0.968      0.504\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   184/499     9.19G    0.0321  0.001371 0.0009125        14       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.911      0.876      0.967      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   185/499     9.19G   0.03134  0.001376 0.0008042        15       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.915      0.894       0.97      0.511\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   186/499     9.19G   0.03094  0.001373 0.0006551        22       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.907      0.888      0.966      0.511\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   187/499     9.19G   0.03139  0.001347 0.0008841        22       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.904      0.891      0.966       0.51\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   188/499     9.19G   0.03085  0.001365 0.0007581         8       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.909      0.893      0.965      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   189/499     9.19G    0.0316  0.001398 0.0007324        18       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.918      0.896      0.969      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   190/499     9.19G   0.03167    0.0014 0.0007929        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269       0.91      0.894      0.965       0.51\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   191/499     9.19G   0.03117  0.001377 0.0007586        18       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.923      0.878      0.964      0.507\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   192/499     9.19G   0.03114  0.001364 0.0007966        12       256: 100% 72/72 [00:39<00:00,  1.80it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.927      0.881      0.968      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   193/499     9.19G   0.03068  0.001366 0.0006967        16       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.13it/s]\n",
            "                 all        240        269      0.928      0.884      0.969      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   194/499     9.19G   0.03092   0.00138  0.000734        16       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.929      0.882      0.967      0.507\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   195/499     9.19G   0.03066  0.001334 0.0008019        23       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.15it/s]\n",
            "                 all        240        269      0.923      0.887      0.968      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   196/499     9.19G   0.03104  0.001359 0.0007528        12       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.923      0.887      0.967      0.503\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   197/499     9.19G     0.031  0.001366 0.0007654        17       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.936      0.881      0.967      0.502\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   198/499     9.19G   0.03091   0.00134 0.0007141        18       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.937      0.883      0.966      0.503\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   199/499     9.19G    0.0309   0.00135 0.0007079        12       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.942      0.879      0.967      0.504\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   200/499     9.19G   0.03103   0.00137 0.0008348        15       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.14it/s]\n",
            "                 all        240        269      0.941      0.885       0.97      0.505\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   201/499     9.19G   0.03082  0.001355 0.0006598        19       256: 100% 72/72 [00:39<00:00,  1.83it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.935      0.876      0.967      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   202/499     9.19G   0.03052  0.001367   0.00077        19       256: 100% 72/72 [00:39<00:00,  1.82it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.17it/s]\n",
            "                 all        240        269      0.931      0.877      0.968      0.508\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   203/499     9.19G   0.03053   0.00135 0.0007436        16       256: 100% 72/72 [00:39<00:00,  1.81it/s]\n",
            "               Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.16it/s]\n",
            "                 all        240        269      0.936       0.88      0.968      0.509\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls    labels  img_size\n",
            "   204/499     9.19G   0.03111   0.00137 0.0007536       133       256:  32% 23/72 [00:12<00:27,  1.79it/s]"
          ]
        }
      ],
      "source": [
        "# train yolov5s on custom data\n",
        "%%time\n",
        "%cd /content/yolov5/\n",
        "!python train.py --img 256 --batch 64 --epochs 500 --optimizer AdamW --hyp data/hyps/hyp.scratch-high.yaml  --data {dataset.location}/data.yaml --cfg ./models/custom_YOLOv5-p2.yaml --weights '' --name YOLOv5-p2_results  --cache"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kJVs_4zEeVbF"
      },
      "source": [
        "# Evaluate Custom YOLOv5 Detector Performance"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bOy5KI2ncnWd"
      },
      "outputs": [],
      "source": [
        "# Start tensorboard\n",
        "# Launch after you have started training\n",
        "# logs save in the folder \"runs\"\n",
        "%load_ext tensorboard\n",
        "%tensorboard --logdir runs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C60XAsyv6OPe"
      },
      "outputs": [],
      "source": [
        "# we can also output some older school graphs if the tensor board isn't working for whatever reason... \n",
        "from utils.plots import plot_results  # plot results.txt as results.png\n",
        "Image(filename='/content/yolov5/runs/train/YOLOv5-p2_results/results.png', width=1000)  # view results.png"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N3qM6T0W53gh"
      },
      "source": [
        "#Run Inference  With Trained Weights\n",
        "Run inference with a pretrained checkpoint on contents of `test/images` folder downloaded from Roboflow."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yIEwt5YLeQ7P"
      },
      "outputs": [],
      "source": [
        "# trained weights are saved by default in our weights folder\n",
        "%ls runs/\n",
        "%ls runs/train/YOLOv5-p2_results/weights"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ytCR4CKpc9xm"
      },
      "outputs": [],
      "source": [
        "######## Test Valid image folder\n",
        "%cd /content/yolov5/\n",
        "# Validate model and print evaluation metrics\n",
        "!python val.py --weights runs/train/YOLOv5-p2_results/weights/best.pt --data /content/yolov5/Mul-1/valid/images --img 256 --half\n",
        "# Perform detection and save results\n",
        "!python detect.py --weights runs/train/YOLOv5-p2_results/weights/best.pt --img 256 --conf 0.25 --source /content/yolov5/Mul-1/valid/images"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nUbMvLdWdDg0"
      },
      "outputs": [],
      "source": [
        "######## Test Train image folder\n",
        "%cd /content/yolov5/\n",
        "# Validate model and print evaluation metrics\n",
        "!python val.py --weights runs/train/YOLOv5-p2_results/weights/best.pt  --data /content/yolov5/Mul-1/train/images --img 256 --half\n",
        "# Perform detection and save results\n",
        "!python detect.py --weights runs/train/YOLOv5-p2_results/weights/best.pt  --img 256 --conf 0.25 --source /content/yolov5/Mul-1/train/images"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iRYTwQl0euwk"
      },
      "outputs": [],
      "source": [
        "##I have created a zip file:\n",
        "!zip -r /content/YOLOv5-p2.zip /content/yolov5/runs/\n",
        "##Than I have downloded that zip file:\n",
        "from google.colab import files\n",
        "files.download(\"/content/YOLOv5-p2.zip\")"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}