YOLOv5_ForImageSize_300.ipynb

{
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      "cell_type": "markdown",
      "metadata": {
        "id": "Y5pKFPbrHoQ4"
      },
      "source": [
        "# Training of Yolov5\n",
        "---------------------\n",
        "**Özgün Yargı**\n",
        "\n",
        "In this exercise, large version of YOLOv5 was the best model with mean average precision %83.3 (at 91th epoch). Colab was used. For the best performance, I applied 100 epochs to 320x320 image size. The training process was very fast. It was completed in 1 hour 51 minutes with. It was seen that changing the image size has an impact on accuracy of the model. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wbvMlHd_QwMG",
        "outputId": "ea7557db-b023-4794-fced-bd2be71abc40"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Setup complete. Using torch 1.8.1+cu101 (Tesla T4)\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/ultralytics/yolov5  # clone repo\n",
        "%cd yolov5\n",
        "%pip install -qr requirements.txt  # install dependencies\n",
        "\n",
        "import torch\n",
        "from IPython.display import Image, clear_output \n",
        "\n",
        "clear_output()\n",
        "print(f\"Setup complete. Using torch {torch.__version__} ({torch.cuda.get_device_properties(0).name if torch.cuda.is_available() else 'CPU'})\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r8KupVVwRs8V",
        "outputId": "a31ed0e4-5e9b-460f-961b-c784ed74784e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 191
        },
        "id": "2fLAV42oNb7M",
        "outputId": "9255f628-0df6-4e80-a980-784e8269ebbf"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[K     |████████████████████████████████| 2.1MB 8.2MB/s \n",
            "\u001b[K     |████████████████████████████████| 133kB 51.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 102kB 13.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 163kB 38.1MB/s \n",
            "\u001b[K     |████████████████████████████████| 71kB 8.5MB/s \n",
            "\u001b[?25h  Building wheel for subprocess32 (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        },
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          "metadata": {
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        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n"
          ]
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          "data": {
            "text/plain": [
              "True"
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          },
          "execution_count": 3,
          "metadata": {
            "tags": []
          },
          "output_type": "execute_result"
        }
      ],
      "source": [
        "%pip install -q wandb\n",
        "import wandb\n",
        "wandb.login()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y0cUvfrYQ6Ti",
        "outputId": "3b80c61b-f84f-4c7c-fece-c8e66153679e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "data\t    hubconf.py\tREADME.md\t  train.py\t  weights\n",
            "detect.py   LICENSE\trequirements.txt  tutorial.ipynb\n",
            "Dockerfile  models\ttest.py\t\t  utils\n"
          ]
        }
      ],
      "source": [
        "!ls"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1NcFxRcFdJ_O",
        "outputId": "1edab525-61eb-4d63-9a26-e64f723cee89"
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      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[34m\u001b[1mgithub: \u001b[0mup to date with https://github.com/ultralytics/yolov5 ✅\n",
            "YOLOv5 🚀 v5.0-70-g3ef3a95 torch 1.8.1+cu101 CUDA:0 (Tesla T4, 15109.75MB)\n",
            "\n",
            "Namespace(adam=False, artifact_alias='latest', batch_size=100, bbox_interval=-1, bucket='', cache_images=False, cfg='models/yolov5l.yaml', data='/content/gdrive/MyDrive/yolo/yolov5/yolov5-master/House_Numbers_300.yaml', device='', entity=None, epochs=100, evolve=False, exist_ok=False, global_rank=-1, hyp='data/hyp.scratch.yaml', image_weights=False, img_size=[300, 300], label_smoothing=0.0, linear_lr=False, local_rank=-1, multi_scale=False, name='SVHN_yolo_300_100', noautoanchor=False, nosave=False, notest=False, project='runs/train', quad=False, rect=False, resume=False, save_dir='runs/train/SVHN_yolo_300_1003', save_period=-1, single_cls=False, sync_bn=False, total_batch_size=100, upload_dataset=False, weights='yolov5l.pt', workers=8, world_size=1)\n",
            "\u001b[34m\u001b[1mtensorboard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
            "2021-05-07 10:19:03.051509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
            "\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.2, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33madriaen\u001b[0m (use `wandb login --relogin` to force relogin)\n",
            "2021-05-07 10:19:05.440468: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Tracking run with wandb version 0.10.29\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Syncing run \u001b[33mSVHN_yolo_300_1003\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: ⭐️ View project at \u001b[34m\u001b[4mhttps://wandb.ai/adriaen/YOLOv5\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run at \u001b[34m\u001b[4mhttps://wandb.ai/adriaen/YOLOv5/runs/2z5muba5\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in /content/yolov5/wandb/run-20210507_101904-2z5muba5\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run `wandb offline` to turn off syncing.\n",
            "\n",
            "Overriding model.yaml nc=80 with nc=10\n",
            "\n",
            "                 from  n    params  module                                  arguments                     \n",
            "  0                -1  1      7040  models.common.Focus                     [3, 64, 3]                    \n",
            "  1                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n",
            "  2                -1  1    156928  models.common.C3                        [128, 128, 3]                 \n",
            "  3                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]              \n",
            "  4                -1  1   1611264  models.common.C3                        [256, 256, 9]                 \n",
            "  5                -1  1   1180672  models.common.Conv                      [256, 512, 3, 2]              \n",
            "  6                -1  1   6433792  models.common.C3                        [512, 512, 9]                 \n",
            "  7                -1  1   4720640  models.common.Conv                      [512, 1024, 3, 2]             \n",
            "  8                -1  1   2624512  models.common.SPP                       [1024, 1024, [5, 9, 13]]      \n",
            "  9                -1  1   9971712  models.common.C3                        [1024, 1024, 3, False]        \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  1   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  1    690688  models.common.C3                        [512, 256, 3, False]          \n",
            " 18                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n",
            " 19          [-1, 14]  1         0  models.common.Concat                    [1]                           \n",
            " 20                -1  1   2495488  models.common.C3                        [512, 512, 3, False]          \n",
            " 21                -1  1   2360320  models.common.Conv                      [512, 512, 3, 2]              \n",
            " 22          [-1, 10]  1         0  models.common.Concat                    [1]                           \n",
            " 23                -1  1   9971712  models.common.C3                        [1024, 1024, 3, False]        \n",
            " 24      [17, 20, 23]  1     80775  models.yolo.Detect                      [10, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [256, 512, 1024]]\n",
            "Model Summary: 499 layers, 46679815 parameters, 46679815 gradients, 114.4 GFLOPS\n",
            "\n",
            "Transferred 642/650 items from yolov5l.pt\n",
            "Scaled weight_decay = 0.00078125\n",
            "Optimizer groups: 110 .bias, 110 conv.weight, 107 other\n",
            "WARNING: --img-size 300 must be multiple of max stride 32, updating to 320\n",
            "WARNING: --img-size 300 must be multiple of max stride 32, updating to 320\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning '/content/gdrive/MyDrive/House_Numbers_300/labels/train.cache' i\u001b[0m\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning '/content/gdrive/MyDrive/House_Numbers_300/labels/validation.cache\u001b[0m\n",
            "Plotting labels... \n",
            "\n",
            "\u001b[34m\u001b[1mautoanchor: \u001b[0mAnalyzing anchors... anchors/target = 3.49, Best Possible Recall (BPR) = 0.9991\n",
            "Image sizes 320 train, 320 test\n",
            "Using 2 dataloader workers\n",
            "Logging results to runs/train/SVHN_yolo_300_1003\n",
            "Starting training for 100 epochs...\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      0/99     8.84G    0.1055   0.02403   0.06544     0.195       118       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865     0.00719      0.0513     0.00172    0.000288\n",
            "Images sizes do not match. This will causes images to be display incorrectly in the UI.\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      1/99     14.5G   0.09243   0.02796   0.06432    0.1847       102       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865      0.0116      0.0588     0.00383    0.000793\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      2/99     14.5G   0.08463   0.02933   0.06294    0.1769        78       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865      0.0192       0.199      0.0117     0.00239\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      3/99     14.5G   0.07858    0.0294   0.06188    0.1699        98       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865      0.0429       0.246      0.0321     0.00715\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      4/99     14.5G   0.07374   0.02866   0.06115    0.1635        89       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865      0.0381       0.306      0.0362     0.00844\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      5/99     14.5G   0.07083   0.02594   0.06073    0.1575        73       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865      0.0497        0.37      0.0581      0.0151\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      6/99     14.5G   0.06603   0.02461   0.06012    0.1508        85       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865        0.16       0.252       0.059      0.0137\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      7/99     14.5G   0.06391   0.02369   0.05986    0.1475       103       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.179       0.336      0.0821      0.0246\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      8/99     14.5G   0.06331   0.02251   0.05965    0.1455       101       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.183       0.353       0.106      0.0311\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      9/99     14.5G   0.06142   0.02082   0.05958    0.1418        99       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.059       0.293      0.0571      0.0154\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     10/99     14.5G   0.05965   0.02111   0.05922      0.14        99       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865      0.0792       0.605       0.128      0.0485\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     11/99     14.5G   0.05761   0.02009   0.05898    0.1367       123       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.113        0.38        0.15      0.0427\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     12/99     14.5G   0.05689   0.02005   0.05847    0.1354        98       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.107       0.557       0.148      0.0514\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     13/99     14.5G   0.05554   0.01954   0.05772    0.1328        77       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.125       0.499       0.167      0.0603\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     14/99     14.5G   0.05499   0.01892   0.05681    0.1307        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.143       0.469       0.184      0.0669\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     15/99     14.5G   0.05346   0.01884    0.0561    0.1284        97       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.128       0.559        0.17      0.0603\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     16/99     14.5G   0.05501    0.0186    0.0555    0.1291        83       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.138       0.527       0.197      0.0702\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     17/99     14.5G   0.05504    0.0184   0.05454     0.128        69       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.152        0.61       0.238      0.0897\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     18/99     14.5G   0.05292   0.01811   0.05357    0.1246        86       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.206       0.488       0.236      0.0813\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     19/99     14.5G   0.05251   0.01827   0.05221     0.123        99       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.249       0.559       0.305       0.117\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     20/99     14.5G   0.05174    0.0181    0.0517    0.1215        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.264       0.551       0.315        0.12\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     21/99     14.5G   0.05168   0.01778   0.05003    0.1195        94       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.216       0.652       0.366       0.137\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     22/99     14.5G    0.0505    0.0182    0.0491    0.1178        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.267       0.591       0.403       0.149\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     23/99     14.5G   0.05156    0.0178   0.04796    0.1173        89       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.436       0.556       0.441       0.171\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     24/99     14.5G   0.05183   0.01775   0.04596    0.1155        93       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.427        0.55       0.367       0.113\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     25/99     14.5G   0.05171   0.01756   0.04466    0.1139        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.495       0.579       0.465       0.155\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     26/99     14.5G   0.05007   0.01773   0.04282    0.1106        75       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.552       0.588       0.561       0.228\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     27/99     14.5G   0.05014   0.01731   0.04147    0.1089        92       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.565       0.604       0.542       0.206\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     28/99     14.5G   0.05009    0.0181   0.04103    0.1092       104       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865         0.6       0.586       0.557       0.214\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     29/99     14.5G    0.0488   0.01735   0.03959    0.1057        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.377       0.645       0.506       0.187\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     30/99     14.5G   0.04919   0.01805   0.03951    0.1067        90       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.512       0.677       0.598       0.232\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     31/99     14.5G   0.04891   0.01774   0.03769    0.1043       106       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.497       0.656       0.584       0.236\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     32/99     14.5G   0.04797   0.01703   0.03694    0.1019        71       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.604       0.635       0.635       0.262\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     33/99     14.5G   0.04805   0.01732   0.03654    0.1019        94       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.558       0.629       0.587       0.238\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     34/99     14.5G   0.04763   0.01718   0.03553    0.1003        86       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.593       0.641       0.598       0.219\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     35/99     14.5G   0.04842   0.01743   0.03427    0.1001        79       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.661       0.682       0.673       0.289\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     36/99     14.5G   0.04774   0.01753   0.03451   0.09978        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.646       0.611       0.636       0.263\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     37/99     14.5G   0.04648   0.01806   0.03322   0.09776       114       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.622       0.639       0.665       0.286\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     38/99     14.5G   0.04615   0.01691   0.03278   0.09585        76       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.717       0.688       0.722         0.3\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     39/99     14.5G   0.04654   0.01702   0.03248   0.09605        73       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.659       0.634       0.672       0.273\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     40/99     14.5G   0.04594   0.01701   0.03167   0.09463        79       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.645       0.489       0.555       0.234\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     41/99     14.5G   0.04594   0.01718   0.02999    0.0931        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.815       0.672       0.749       0.335\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     42/99     14.5G   0.04559   0.01727    0.0304   0.09326        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865        0.76       0.674       0.731       0.319\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     43/99     14.5G   0.04601   0.01722   0.03064   0.09386       102       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.813       0.717       0.779       0.337\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     44/99     14.5G    0.0462   0.01723   0.02986   0.09329        82       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.829       0.721       0.796       0.335\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     45/99     14.5G   0.04553   0.01677   0.02872   0.09103        84       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.818       0.564       0.666       0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     46/99     14.5G   0.04611   0.01716   0.02924   0.09251       101       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.785       0.707        0.76       0.326\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     47/99     14.5G    0.0445   0.01658   0.02773   0.08881        66       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865        0.84       0.745       0.806        0.35\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     48/99     14.5G   0.04504   0.01699   0.02791   0.08993        87       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.768       0.708       0.745       0.298\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     49/99     14.5G   0.04452   0.01683   0.02757   0.08892        87       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.839       0.716       0.787       0.359\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     50/99     14.5G   0.04387   0.01699    0.0277   0.08856       107       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.816       0.763       0.795       0.349\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     51/99     14.5G   0.04386   0.01685   0.02719    0.0879       100       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.817       0.746       0.787       0.321\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     52/99     14.5G   0.04316   0.01746   0.02697   0.08759        85       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.828       0.748       0.793       0.337\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     53/99     14.5G    0.0447   0.01652   0.02662   0.08783        79       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.822        0.67       0.747        0.32\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     54/99     14.5G   0.04374   0.01681   0.02625    0.0868       107       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.829       0.706       0.752       0.326\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     55/99     14.5G   0.04308   0.01618   0.02524   0.08451        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.846        0.71       0.779       0.329\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     56/99     14.5G   0.04376   0.01654   0.02635   0.08665        76       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.816       0.753       0.794       0.349\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     57/99     14.5G   0.04155   0.01643   0.02586   0.08383        70       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.832       0.711       0.781       0.356\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     58/99     14.5G   0.04348    0.0165   0.02559   0.08557        90       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.845       0.758       0.814       0.361\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     59/99     14.5G   0.04233   0.01692   0.02607   0.08532        93       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.827       0.764       0.809       0.363\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     60/99     14.5G   0.04291   0.01637   0.02561   0.08489        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865        0.83       0.759       0.803       0.353\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     61/99     14.5G   0.04228   0.01627   0.02526   0.08381        98       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.806        0.76       0.788        0.33\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     62/99     14.5G   0.04171   0.01612   0.02466   0.08249        98       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.847       0.746       0.802       0.364\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     63/99     14.5G   0.04193   0.01645   0.02513   0.08351        85       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.801       0.661       0.749       0.333\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     64/99     14.5G     0.042   0.01632   0.02487    0.0832        86       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.832       0.741       0.786       0.357\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     65/99     14.5G   0.04147   0.01625   0.02424   0.08195        76       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.794       0.746       0.783       0.344\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     66/99     14.5G   0.04164   0.01624   0.02331   0.08119        73       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865        0.83       0.735       0.779       0.357\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     67/99     14.5G   0.04105   0.01659   0.02323   0.08088        96       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.816       0.727       0.773       0.359\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     68/99     14.5G   0.04167   0.01628   0.02413   0.08208        90       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.849       0.663       0.743       0.335\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     69/99     14.5G   0.04074   0.01635   0.02429   0.08138        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865        0.83       0.698       0.768       0.337\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     70/99     14.5G   0.04093   0.01671   0.02377   0.08141        93       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.834       0.753       0.802       0.364\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     71/99     14.5G   0.04014   0.01613   0.02349   0.07977        80       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.858       0.732       0.797       0.369\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     72/99     14.5G   0.04016   0.01655   0.02251   0.07922        93       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.816        0.75       0.788       0.365\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     73/99     14.5G    0.0404   0.01607   0.02165   0.07812       105       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.853       0.773       0.817       0.372\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     74/99     14.5G   0.03953   0.01634   0.02197   0.07784       100       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.865       0.685        0.76       0.345\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     75/99     14.5G   0.03954   0.01572   0.02166   0.07692        86       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.856       0.691       0.761       0.342\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     76/99     14.5G   0.03907   0.01594    0.0219    0.0769        93       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.839       0.719       0.766       0.341\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     77/99     14.5G     0.039   0.01554   0.02237   0.07692       101       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.869        0.76       0.824       0.376\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     78/99     14.5G   0.03873   0.01562   0.02116   0.07552       101       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.843       0.774       0.817       0.371\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     79/99     14.5G   0.03862   0.01549   0.02057   0.07468        82       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.882       0.754       0.819       0.371\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     80/99     14.5G    0.0382   0.01594   0.02053   0.07467        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.865       0.748       0.815       0.365\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     81/99     14.5G   0.03795   0.01556   0.02013   0.07364        91       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.839       0.733       0.787       0.358\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     82/99     14.5G    0.0377   0.01503   0.02036   0.07309        73       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.862       0.779       0.825       0.378\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     83/99     14.5G   0.03817   0.01539   0.01897   0.07253        94       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.879       0.759       0.822       0.371\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     84/99     14.5G   0.03749   0.01509   0.01899   0.07157        89       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.889       0.734       0.819       0.378\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     85/99     14.5G   0.03691   0.01465   0.01907   0.07063        81       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.843       0.779       0.831       0.376\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     86/99     14.5G    0.0367   0.01521   0.01886   0.07077        90       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.868       0.765       0.815       0.377\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     87/99     14.5G   0.03727   0.01483   0.01904   0.07114        97       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.859       0.776       0.825       0.384\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     88/99     14.5G   0.03668   0.01536   0.01894   0.07098        96       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.869       0.752       0.811       0.382\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     89/99     14.5G   0.03628   0.01502   0.01805   0.06935        98       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.855       0.765       0.815       0.369\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     90/99     14.5G   0.03684   0.01516    0.0189   0.07091        84       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.857       0.782        0.82       0.382\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     91/99     14.5G   0.03613   0.01528   0.01807   0.06947       105       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.847       0.801       0.833        0.39\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     92/99     14.5G   0.03517   0.01478   0.01764   0.06759        74       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.863       0.758        0.82       0.378\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     93/99     14.5G   0.03536    0.0143   0.01782   0.06747        70       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.847       0.754       0.811       0.377\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     94/99     14.5G   0.03599   0.01506   0.01751   0.06856        95       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.836       0.765       0.799       0.381\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     95/99     14.5G   0.03507    0.0148   0.01755   0.06743        94       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.872       0.757       0.817       0.381\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     96/99     14.5G   0.03493   0.01431   0.01784   0.06708        77       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.884       0.745       0.813       0.373\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     97/99     14.5G     0.035   0.01464   0.01728   0.06692        99       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.878       0.712       0.785       0.361\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     98/99     14.5G   0.03492   0.01458    0.0166    0.0661       101       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.841       0.767       0.813       0.372\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     99/99     14.5G   0.03533   0.01409   0.01704   0.06646        86       320\n",
            "               Class      Images      Labels           P           R      mAP@.5\n",
            "                 all         385         865       0.828       0.763       0.799       0.371\n",
            "                   0         385          62        0.82       0.808       0.858       0.427\n",
            "                   1         385         171       0.859        0.75       0.766       0.305\n",
            "                   2         385         125       0.924       0.774       0.826       0.397\n",
            "                   3         385          94       0.821       0.638       0.712       0.362\n",
            "                   4         385          88       0.899       0.818       0.888       0.425\n",
            "                   5         385          90       0.777       0.789       0.812        0.33\n",
            "                   6         385          64       0.807       0.797       0.834       0.434\n",
            "                   7         385          64        0.92       0.716       0.795       0.352\n",
            "                   8         385          62       0.864       0.694       0.784       0.378\n",
            "                   9         385          45       0.588       0.844       0.714       0.297\n",
            "100 epochs completed in 0.942 hours.\n",
            "\n",
            "Optimizer stripped from runs/train/SVHN_yolo_300_1003/weights/last.pt, 93.8MB\n",
            "Optimizer stripped from runs/train/SVHN_yolo_300_1003/weights/best.pt, 93.8MB\n",
            "Images sizes do not match. This will causes images to be display incorrectly in the UI.\n",
            "\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Waiting for W&B process to finish, PID 714\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Program ended successfully.\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                                                                                \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Find user logs for this run at: /content/yolov5/wandb/run-20210507_101904-2z5muba5/logs/debug.log\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Find internal logs for this run at: /content/yolov5/wandb/run-20210507_101904-2z5muba5/logs/debug-internal.log\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run summary:\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 train/box_loss 0.03533\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 train/obj_loss 0.01409\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 train/cls_loss 0.01704\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:              metrics/precision 0.82791\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 metrics/recall 0.7628\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                metrics/mAP_0.5 0.79903\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:           metrics/mAP_0.5:0.95 0.37075\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                   val/box_loss 0.0473\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                   val/obj_loss 0.00762\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                   val/cls_loss 0.02864\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                          x/lr0 0.00201\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                          x/lr1 0.00201\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                          x/lr2 0.00201\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                       _runtime 3422\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                     _timestamp 1620386166\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                          _step 100\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run history:\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:         train/box_loss █▆▅▄▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:         train/obj_loss ▆█▆▅▄▄▃▃▃▃▃▂▃▂▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▁▁▁\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:         train/cls_loss ██▇▇▇▇▇▆▆▆▅▅▄▄▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:      metrics/precision ▁▁▁▂▂▂▂▂▃▃▅▅▅▅▆▇▆▇▇▇▇████▇██████████████\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:         metrics/recall ▁▂▄▄▆▆▆▆▆▆▆▆▇▆▇▇▅▇▆▇█▇▇██▇▇▇▇█▇█▇█████▇█\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:        metrics/mAP_0.5 ▁▁▁▂▂▂▂▃▄▄▅▆▆▆▇▇▆█▇▇█▇███▇█▇██▇█████████\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:   metrics/mAP_0.5:0.95 ▁▁▁▁▂▂▂▃▃▄▄▅▅▅▆▆▅▇▆▆▇▇▇▇▇▇▇▇██▇█▇███████\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:           val/box_loss █▆▄▃▂▂▂▂▂▂▂▂▂▂▁▁▂▁▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:           val/obj_loss ██▅▃▃▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▂▂▂▂▁▁▁▂▂▂▂▂▂▂▂\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:           val/cls_loss █▇▇▇▇▆▆▆▅▅▄▃▃▃▃▂▄▂▂▂▁▂▂▁▁▂▂▂▁▁▁▁▁▁▁▁▁▁▁▂\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                  x/lr0 ▁▁▂▃▃▄▄▅▅▆▆▆▇▇▇██████████▇▇▇▇▆▆▅▅▅▅▄▄▄▄▄\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                  x/lr1 ▁▁▂▃▃▄▄▅▅▆▆▆▇▇▇██████████▇▇▇▇▆▆▅▅▅▅▄▄▄▄▄\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                  x/lr2 ███▇▇▇▇▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:               _runtime ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇███\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:             _timestamp ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇███\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                  _step ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Synced 5 W&B file(s), 335 media file(s), 1 artifact file(s) and 0 other file(s)\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Synced \u001b[33mSVHN_yolo_300_1003\u001b[0m: \u001b[34mhttps://wandb.ai/adriaen/YOLOv5/runs/2z5muba5\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "#Yolov5l\n",
        "!python train.py --img 300 --batch 100 --epochs 100 --data /content/gdrive/MyDrive/yolo/yolov5/yolov5-master/House_Numbers_300.yaml --weights yolov5l.pt --name SVHN_yolo_300_100 --cfg models/yolov5l.yaml"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [],
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.6 (tags/v3.8.6:db45529, Sep 23 2020, 15:52:53) [MSC v.1927 64 bit (AMD64)]"
    },
    "vscode": {
      "interpreter": {
        "hash": "3871db0c80cf644179281cfa1b732df82c64ec712a5f5e68a18b4fa12b33a72e"
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  "nbformat": 4,
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}