dhaka_traffic_yolov5_BEST.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "dhaka_traffic_yolov5_BEST.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SsStpd1SsLFL"
      },
      "source": [
        "## Cloning YOLOv5 git repository from ultralytics and installing dependencies"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g0fgP1KZvmKf",
        "outputId": "4e762cf9-258e-4385-9cae-32ea79243c53"
      },
      "source": [
        "!git clone https://github.com/ultralytics/yolov5\n",
        "!curl -L -o tmp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip && unzip -q tmp.zip && rm tmp.zip\n",
        "%cd yolov5\n",
        "!pip install -qr requirements.txt "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'yolov5'...\n",
            "remote: Enumerating objects: 50, done.\u001b[K\n",
            "remote: Counting objects: 100% (50/50), done.\u001b[K\n",
            "remote: Compressing objects: 100% (40/40), done.\u001b[K\n",
            "remote: Total 3215 (delta 22), reused 25 (delta 9), pack-reused 3165\u001b[K\n",
            "Receiving objects: 100% (3215/3215), 6.49 MiB | 36.32 MiB/s, done.\n",
            "Resolving deltas: 100% (2137/2137), done.\n",
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100   637  100   637    0     0   4304      0 --:--:-- --:--:-- --:--:--  4304\n",
            "100 21.0M  100 21.0M    0     0  42.3M      0 --:--:-- --:--:-- --:--:--  195M\n",
            "/content/yolov5\n",
            "\u001b[K     |████████████████████████████████| 276kB 17.3MB/s \n",
            "\u001b[?25h  Building wheel for PyYAML (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lbIkqJkjscFy"
      },
      "source": [
        "## Downloading our preprocessed data (14 Class 1940 seed)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3I9vwP-a7YUl"
      },
      "source": [
        "%cd /content/dhaka-traffic\n",
        "\n",
        "# !gdown --id 'ID of your preprocessed .zip file'\n",
        "!gdown --id '1gkZDFCVq2FBmPC_Pz-T7EYf8I8Sg1Lrc'\n",
        "\n",
        "!unzip dhaka-traffic-yolo-v3-NEW.zip; rm dhaka-traffic-yolo-v3-NEW.zip;"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i7cxMIhNss1v"
      },
      "source": [
        "## Downloading our preprocessed data (21 Class 562 seed)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_hcyT0hOstoo"
      },
      "source": [
        "%cd /content/dhaka-traffic\n",
        "\n",
        "# !gdown --id 'ID of your preprocessed .zip file'\n",
        "!gdown --id '16tVZGVRAFx49tyEDguKbYxPnhpdmN8M9'\n",
        "\n",
        "!unzip dhaka-traffic-yolo-v3_seed_562.zip; rm dhaka-traffic-yolo-v3_seed_562.zip;"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GVQQgab2sOtb"
      },
      "source": [
        "## Downloading our preprocessed data (21 Class 710 seed)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BbIPLMSdr7Az"
      },
      "source": [
        "!gdown --id '1IWOUeOjnJRIv34gWREP2UNjpBpVkzGsl'\n",
        "!unzip dhaka-traffic-yolo-v3_seed_710.zip; rm dhaka-traffic-yolo-v3_seed_710.zip;"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "orFmwL4EULMB"
      },
      "source": [
        "## Downloading our preprocessed data (21 Class 1309 Seed)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "upVILsysUS_Y"
      },
      "source": [
        "!gdown --id '125JHCyLeb25YnJVYlhYo48aUXk6bhn4P'\n",
        "!unzip dhaka-traffic-yolo-v5_seed_1309.zip; rm dhaka-traffic-yolo-v5_seed_1309.zip;"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zux3O3QPTeJ8"
      },
      "source": [
        "##Downloading 2nd Round Last Preprocessed Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JYeufkYbTqVs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2250d0b6-244c-4f22-c5eb-ee1aa87b73a8"
      },
      "source": [
        "!gdown --id '1t-svr-DRMmwKan-pRIHYea7giVcu5faI'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1t-svr-DRMmwKan-pRIHYea7giVcu5faI\n",
            "To: /content/yolov5/pp-final-710.zip\n",
            "406MB [00:06, 61.2MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W8lt4GVIn7Yj",
        "outputId": "6df818db-3ecf-466a-f30b-e6ba19f985ff"
      },
      "source": [
        "!unzip pp-final_710.zip; rm pp-final_710.zip;"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "  inflating: train/Navid_499.jpg     \n",
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            "  inflating: train/Dipto_ 146.xml    \n",
            "  inflating: train/Numan_(246).txt   \n",
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            "  inflating: train/Shykat_5_ (110)_jpg.rf.71606778c62285beb0cdb0ab3480680c.xml  \n",
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            "  inflating: train/Shykat_5_ (11)_jpg.rf.8576f9d54c38d81b25a8c1aef34ec9fe.txt  \n",
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            "  inflating: train/Navid_244.xml     \n",
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            "  inflating: train/Shykat_4_ (3)_jpg.rf.74da0a1dfaaf056fabc4b0d6e93f9589.xml  \n",
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            "  inflating: train/Numan_(182).xml   \n",
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            "  inflating: train/Numan_(221).txt   \n",
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            "  inflating: train/Shykat_5_ (17)_jpg.rf.bd73a177830e16e7ff7b0327b157744c.xml  \n",
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            "  inflating: train/Dipto_822.txt     \n",
            "  inflating: train/Pias (88).xml     \n",
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            "  inflating: train/Shykat_4_ (1)_jpg.rf.229bebbe15b12cf1834b38a9a574a8ac.xml  \n",
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            "  inflating: train/Pias (122).xml    \n",
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            "  inflating: train/Navid_472.xml     \n",
            "  inflating: train/Dipto_719.jpg     \n",
            "  inflating: train/Numan_(237).xml   \n",
            "  inflating: train/Sabiha_(47)_jpg.rf.aab517edfa5c02dc21c0e529834f96a7.jpg  \n",
            "  inflating: train/Shykat_5_ (86)_jpg.rf.1be6f732978533d797c15cec39a9c3b6.xml  \n",
            "  inflating: train/Navid_488.txt     \n",
            "  inflating: train/Dipto_634.xml     \n",
            "  inflating: train/Pias (159).xml    \n",
            "  inflating: train/Numan_(260).jpg   \n",
            "  inflating: train/Dipto_ 329.jpg    \n",
            "  inflating: train/sabiha(194)_jpg.rf.c1223f37b6d87e8687e4e2ac7e9fa431.jpg  \n",
            "  inflating: train/sabiha(177)_jpg.rf.d7b95329ef7c52bf2090c781cda6d959.txt  \n",
            "  inflating: train/Navid_517.txt     \n",
            "  inflating: train/Sabiha_(4)_jpg.rf.134cf55311b25147f3238699e22ac08d.jpg  \n",
            "  inflating: train/Pias (160).txt    \n",
            "  inflating: train/Dipto_362.txt     \n",
            "  inflating: train/Navid_433.jpg     \n",
            "  inflating: train/Pias (385).xml    \n",
            "  inflating: train/Numan_(364).txt   \n",
            "  inflating: train/Dipto_ 335.xml    \n",
            "  inflating: train/Navid_771.jpg     \n",
            "  inflating: train/Navid_343.xml     \n",
            "  inflating: train/Dipto_ 319.xml    \n",
            "  inflating: train/Navid_144.jpg     \n",
            "  inflating: train/sabiha(170)_jpg.rf.9fe3a033192cda3a09c263a9c7501904.jpg  \n",
            "  inflating: train/74.xml            \n",
            "  inflating: train/Shykat_5_ (17)_jpg.rf.bd73a177830e16e7ff7b0327b157744c.txt  \n",
            "  inflating: train/Numan_(421).jpg   \n",
            "  inflating: train/Numan_(343).xml   \n",
            "  inflating: train/Dipto_801.jpg     \n",
            "  inflating: train/Dipto_ 274.xml    \n",
            "  inflating: train/Numan_(108).xml   \n",
            "  inflating: train/Navid_807.jpg     \n",
            "  inflating: train/Pias (500).jpg    \n",
            "  inflating: train/Numan_(294).JPG   \n",
            "  inflating: train/Numan_(295).txt   \n",
            "  inflating: train/Dipto_ 85.jpg     \n",
            "  inflating: train/Numan_(132).txt   \n",
            "  inflating: train/sabiha(220)_jpg.rf.1849713d054781b9d7403cddfbd57385.xml  \n",
            "  inflating: train/Pias (469).txt    \n",
            "  inflating: train/170.txt           \n",
            "  inflating: train/Dipto_ 154.jpg    \n",
            "  inflating: train/Dipto_ 253.txt    \n",
            "  inflating: train/Pias (396).txt    \n",
            "  inflating: train/Numan_(448).txt   \n",
            "  inflating: train/Numan_(429).jpg   \n",
            "  inflating: train/Pias (29).txt     \n",
            "  inflating: train/Navid_279.jpg     \n",
            "  inflating: train/Navid_412.xml     \n",
            "  inflating: train/Navid_230.xml     \n",
            "  inflating: train/Dipto_467.xml     \n",
            "  inflating: train/Pias (336).txt    \n",
            "  inflating: train/10.txt            \n",
            "  inflating: train/Pias (27).jpg     \n",
            "  inflating: train/Dipto_ 255.txt    \n",
            "  inflating: train/Numan_(136).xml   \n",
            "  inflating: train/Shykat_02_042_jpg.rf.dee75dbcb561a01cfb6c3b4090869de4.jpg  \n",
            "  inflating: train/sabiha(227)_jpg.rf.606b929a310db4c7db6d9865243cd98f.txt  \n",
            "  inflating: train/Dipto_635.txt     \n",
            "  inflating: train/Dipto_446.txt     \n",
            "  inflating: train/Dipto_361.jpg     \n",
            "  inflating: train/Navid_796.jpg     \n",
            "  inflating: train/Dipto_ 325.jpg    \n",
            "  inflating: train/Dipto_789.jpg     \n",
            "  inflating: train/Pias (105).xml    \n",
            "  inflating: train/Shykat_02_046_jpg.rf.5fe6b37ceea6c7ea3c86ace15d61a3ce.xml  \n",
            "  inflating: train/Navid_806.jpg     \n",
            "  inflating: train/Dipto_ 256.txt    \n",
            "  inflating: train/Shykat_5_ (75)_jpg.rf.38b18bc2d862399072bd1b66cd942995.jpg  \n",
            "  inflating: train/sabiha(157)_jpg.rf.d5d32b2ecb952ad2cd2e7303a7e261f4.txt  \n",
            "  inflating: train/Navid_504.txt     \n",
            "  inflating: train/26.xml            \n",
            "  inflating: train/Sabiha_(34)_jpg.rf.0fcb8495c4480f2b29e95b360286bf44.jpg  \n",
            "  inflating: train/Pias (39).txt     \n",
            "  inflating: train/Dipto_590.xml     \n",
            "  inflating: train/Dipto_403.xml     \n",
            "  inflating: train/Navid_525.jpg     \n",
            "  inflating: train/Pias (527).txt    \n",
            "  inflating: train/Navid_552.txt     \n",
            "  inflating: train/Dipto_ 181.txt    \n",
            "  inflating: train/Navid_660.txt     \n",
            "  inflating: train/Numan_(473).txt   \n",
            "  inflating: train/Pias (77).jpg     \n",
            "  inflating: train/Dipto_638.txt     \n",
            "  inflating: train/Navid_37.jpg      \n",
            "  inflating: train/sabiha(181)_jpg.rf.b99d43b03ae4de0802be741ec4bd9740.xml  \n",
            "  inflating: train/Dipto_690.xml     \n",
            "  inflating: train/Asraf_03.jpg      \n",
            "  inflating: train/Pias (345).jpg    \n",
            "  inflating: train/Shykat_02_024_jpg.rf.b475e9a7706ce7be83108e15364f8ffd.jpg  \n",
            "  inflating: train/Navid_169.xml     \n",
            "  inflating: train/Numan_(45).xml    \n",
            "  inflating: train/Shykat_5_ (55)_jpg.rf.321cf368a67e7ceaed83975f4839b4d5.jpg  \n",
            "  inflating: train/Shykat_5_ (21)_jpg.rf.11b91aca443437c99fed5e1d5d0285e5.jpg  \n",
            "  inflating: train/Navid_403.jpg     \n",
            "  inflating: train/Numan_(145).txt   \n",
            "  inflating: train/Asraf_35.jpg      \n",
            "  inflating: train/Navid_98.jpg      \n",
            "  inflating: train/Dipto_592.jpg     \n",
            "  inflating: train/Numan_(317).txt   \n",
            "  inflating: train/sabiha(158)_jpg.rf.e5529971244c65db73b62e75c4eb7ff3.xml  \n",
            "  inflating: train/170.jpg           \n",
            "  inflating: train/Dipto_828.txt     \n",
            "  inflating: train/Dipto_ 150.jpg    \n",
            "  inflating: train/Numan_(338).txt   \n",
            "  inflating: train/Dipto_ 140.txt    \n",
            "  inflating: train/169.txt           \n",
            "  inflating: train/Shykat_02_023_jpg.rf.508364b27060e5c795835253436fe7b8.txt  \n",
            "  inflating: train/Navid_700.jpg     \n",
            "  inflating: train/Numan_(352).txt   \n",
            "  inflating: train/Navid_774.txt     \n",
            "  inflating: train/sabiha(152)_jpg.rf.9b892eefb41c2860e3313ddb2609fa2c.xml  \n",
            "  inflating: train/Dipto_171.jpg     \n",
            "  inflating: train/Navid_334.jpg     \n",
            "  inflating: train/Shykat_5_ (44)_jpg.rf.79fa6df6074d69e1e09e78447dc67190.xml  \n",
            "  inflating: train/Navid_330.xml     \n",
            "  inflating: train/138.txt           \n",
            "  inflating: train/Shykat_02_038_jpg.rf.899054ffaf557de988cb6fc2d7b63647.jpg  \n",
            "  inflating: train/Dipto_ 273.xml    \n",
            "  inflating: train/Shykat_03_026_jpg.rf.0462fe3e9e3f2abf897db8c46e5e395e.xml  \n",
            "  inflating: train/Shykat_5_ (34)_jpg.rf.bf7a7ca319fa7430a13b2eeddc2196d6(1).jpg  \n",
            "  inflating: train/Navid_689.txt     \n",
            "  inflating: train/Numan_(164).jpg   \n",
            "  inflating: train/Pias (337).txt    \n",
            "  inflating: train/Dipto_16.txt      \n",
            "  inflating: train/Numan_(262).jpg   \n",
            "  inflating: train/Dipto_ 326.txt    \n",
            "  inflating: train/Pias (283).jpg    \n",
            "  inflating: train/Dipto_ 156.txt    \n",
            "  inflating: train/Numan_(41).txt    \n",
            "  inflating: train/Navid_51.xml      \n",
            "  inflating: train/Navid_500.xml     \n",
            "  inflating: train/Pias (400).jpg    \n",
            "  inflating: train/Navid_680.txt     \n",
            "  inflating: train/Dipto_428.jpg     \n",
            "  inflating: train/Numan_(188).txt   \n",
            "  inflating: train/Shykat_02_040_jpg.rf.cd4e5b6d204713e99035df01af3ce3f3.jpg  \n",
            "  inflating: train/Shykat_02_005_jpg.rf.2329d6008b655bb3179142e89a44f7b4.jpg  \n",
            "  inflating: train/Sabiha_(01)_jpg.rf.f935c7fc51a14c64e34c17a17c41cb1f.jpg  \n",
            "  inflating: train/Navid_666.txt     \n",
            "  inflating: train/Pias (231).jpg    \n",
            "  inflating: train/sabiha(153)_jpg.rf.81785a4cbb9314bf33d7b9664813db34.xml  \n",
            "  inflating: train/Shykat_5_ (52)_jpg.rf.3e100b0ae1f610d0be46416dbd35add6.txt  \n",
            "  inflating: train/Numan_(360).txt   \n",
            "  inflating: train/Navid_610.xml     \n",
            "  inflating: train/Pias (330).xml    \n",
            "  inflating: train/Navid_243.txt     \n",
            "  inflating: train/Dipto_842.txt     \n",
            "  inflating: train/Dipto_528.JPG     \n",
            "  inflating: train/Pias (36).jpg     \n",
            "  inflating: train/Pias (487).txt    \n",
            "  inflating: train/Numan_(347).jpg   \n",
            "  inflating: train/Asraf_52_jpg.rf.867869f276e6db3a09a84b99643df316.jpg  \n",
            "  inflating: train/Navid_102.jpg     \n",
            "  inflating: train/Numan_  (1).txt   \n",
            "  inflating: train/Dipto_802.xml     \n",
            "  inflating: train/Shykat_4_ (46)_jpg.rf.9be3149ed8c223f006fbc161ae6729c6.txt  \n",
            "  inflating: train/Navid_255.txt     \n",
            "  inflating: train/Dipto_353.txt     \n",
            "  inflating: train/Pias (245).jpg    \n",
            "  inflating: train/Dipto_621.xml     \n",
            "  inflating: train/Shykat_5_ (75)_jpg.rf.38b18bc2d862399072bd1b66cd942995.xml  \n",
            "  inflating: train/199.xml           \n",
            "  inflating: train/Navid_683.xml     \n",
            "  inflating: train/Pias (465).jpg    \n",
            "  inflating: train/Dipto_840.jpg     \n",
            "  inflating: train/Shykat_5_ (78)_jpg.rf.ab143ddabf2c769cd5e7434fbd54b113.txt  \n",
            "  inflating: train/Navid_498.xml     \n",
            "  inflating: train/Pias (274).xml    \n",
            "  inflating: train/Dipto_808.jpg     \n",
            "  inflating: train/Asraf_44.xml      \n",
            "  inflating: train/Navid_363.xml     \n",
            "  inflating: train/Pias (417).jpg    \n",
            "  inflating: train/Dipto_615.jpg     \n",
            "  inflating: train/34.jpg            \n",
            "  inflating: train/Dipto_545.jpg     \n",
            "  inflating: train/Dipto_ 180.xml    \n",
            "  inflating: train/Navid_488.xml     \n",
            "  inflating: train/199.png           \n",
            "  inflating: train/Navid_456.txt     \n",
            "  inflating: train/Pias (65).xml     \n",
            "  inflating: train/Sabiha_(20)_jpg.rf.b3e6da0d8305a75df41638fcebe4c384.xml  \n",
            "  inflating: train/Numan_(55).jpg    \n",
            "  inflating: train/61.txt            \n",
            "  inflating: train/Dipto_697.txt     \n",
            "  inflating: train/sabiha(186)_jpg.rf.72bef88370058a83ed90b404283cef9b.txt  \n",
            "  inflating: train/Shykat_5_ (37)_jpg.rf.ac70c67614d3be943ba2fbf19a3ffff8.jpg  \n",
            "  inflating: train/Navid_804.xml     \n",
            "  inflating: train/Numan_(135).jpg   \n",
            "  inflating: train/Dipto_594.xml     \n",
            "  inflating: train/Dipto_644.jpg     \n",
            "  inflating: train/Dipto_526.txt     \n",
            "  inflating: train/Shykat_5_ (70)_jpg.rf.1f4660be88f887a63862511fbd73c54e.jpg  \n",
            "  inflating: train/Dipto_603.jpg     \n",
            "  inflating: train/Navid_364.jpg     \n",
            "  inflating: train/Dipto_ 321.txt    \n",
            "  inflating: train/Dipto_643.xml     \n",
            "  inflating: train/Navid_556.jpg     \n",
            "  inflating: train/Navid_433.txt     \n",
            "  inflating: train/Navid_451.xml     \n",
            "  inflating: train/Dipto_650.xml     \n",
            "  inflating: train/Navid_106.txt     \n",
            "  inflating: train/102.xml           \n",
            "  inflating: train/Navid_331.jpg     \n",
            "  inflating: train/Shykat_5_ (59)_jpg.rf.37848c9699fd6e1f13c02bb9cc0a73e6.txt  \n",
            "  inflating: train/Numan_(320).txt   \n",
            "  inflating: train/Pias (498).xml    \n",
            "  inflating: train/Pias (302).xml    \n",
            "  inflating: train/Navid_774.xml     \n",
            "  inflating: train/Numan_(46).txt    \n",
            "  inflating: train/Numan_(381).txt   \n",
            "  inflating: train/Asraf_40.xml      \n",
            "  inflating: train/Numan_(129).xml   \n",
            "  inflating: train/Navid_397.jpg     \n",
            "  inflating: train/Dipto_555.xml     \n",
            "  inflating: train/Navid_109.jpg     \n",
            "  inflating: train/Numan_(207).txt   \n",
            "  inflating: train/Dipto_623.xml     \n",
            "  inflating: train/Pias (69).txt     \n",
            "  inflating: train/Navid_281.jpg     \n",
            "  inflating: train/Sabiha_(52)_jpg.rf.1671c6b5f623a354d6cf722e83d3acf0.txt  \n",
            "  inflating: train/Dipto_709.xml     \n",
            "  inflating: train/Shykat_03_020_jpg.rf.2c08536baee46b775b842fdc45a36cb7.jpg  \n",
            "  inflating: train/Pias (373).txt    \n",
            "  inflating: train/sabiha(146)_jpg.rf.bc5489fdd277c039b4bded53bcb15496.xml  \n",
            "  inflating: train/sabiha(139)_jpg.rf.b288b9d4f49db9b8e94d83650d2d848a.jpg  \n",
            "  inflating: train/Navid_15.txt      \n",
            "  inflating: train/Navid_185.txt     \n",
            "  inflating: train/Navid_204.jpg     \n",
            "  inflating: train/Pias (341).txt    \n",
            "  inflating: train/Dipto_24.jpg      \n",
            "  inflating: train/Asraf_62.txt      \n",
            "  inflating: train/Navid_678.jpg     \n",
            "  inflating: train/94.xml            \n",
            "  inflating: train/Navid_177.jpg     \n",
            "  inflating: train/Dipto_ 40.jpg     \n",
            "  inflating: train/Pias (58).xml     \n",
            "  inflating: train/Pias (118).xml    \n",
            "   creating: valid/\n",
            "  inflating: valid/Dipto_636.txt     \n",
            "  inflating: valid/Shykat_5_ (16)_jpg.rf.d156f9d32965166f407c462ce49273ad.txt  \n",
            "  inflating: valid/Numan_(412).txt   \n",
            "  inflating: valid/Numan_(74).txt    \n",
            "  inflating: valid/68.txt            \n",
            "  inflating: valid/Navid_264.txt     \n",
            "  inflating: valid/Pias (94).txt     \n",
            "  inflating: valid/Pias (74).jpg     \n",
            "  inflating: valid/Navid_571.txt     \n",
            "  inflating: valid/Shykat_5_ (23)_jpg.rf.caac130cf9ba5b838edea1140105d146.txt  \n",
            "  inflating: valid/Navid_413.txt     \n",
            "  inflating: valid/Navid_86.txt      \n",
            "  inflating: valid/Numan_(441).jpg   \n",
            "  inflating: valid/Navid_385.jpg     \n",
            "  inflating: valid/Navid_574.jpg     \n",
            "  inflating: valid/Pias (479).txt    \n",
            "  inflating: valid/Pias (382).txt    \n",
            "  inflating: valid/Shykat_03_026_jpg.rf.0462fe3e9e3f2abf897db8c46e5e395e.txt  \n",
            "  inflating: valid/Pias (142).txt    \n",
            "  inflating: valid/192.jpg           \n",
            "  inflating: valid/Dipto_ 84.txt     \n",
            "  inflating: valid/Numan_(333).jpg   \n",
            "  inflating: valid/Navid_607.txt     \n",
            "  inflating: valid/Dipto_ 271.txt    \n",
            "  inflating: valid/Numan_(40).jpg    \n",
            "  inflating: valid/Pias (415).txt    \n",
            "  inflating: valid/Numan_(270).txt   \n",
            "  inflating: valid/sabiha(154)_jpg.rf.4be39792aab5e573a4cd2acd32428aaf.jpg  \n",
            "  inflating: valid/Numan_(459).jpg   \n",
            "  inflating: valid/Numan_(68).jpg    \n",
            "  inflating: valid/Pias (273).txt    \n",
            "  inflating: valid/Navid_477.jpg     \n",
            "  inflating: valid/Navid_596.txt     \n",
            "  inflating: valid/81.txt            \n",
            "  inflating: valid/Dipto_631.jpg     \n",
            "  inflating: valid/Pias (225).jpg    \n",
            "  inflating: valid/Navid_62.txt      \n",
            "  inflating: valid/Dipto_ 235.txt    \n",
            "  inflating: valid/Numan_(93).jpg    \n",
            "  inflating: valid/124.txt           \n",
            "  inflating: valid/Numan_(163).txt   \n",
            "  inflating: valid/Navid_385.txt     \n",
            "  inflating: valid/Shykat_4_ (35)_jpg.rf.e4f936fdd85ef9be751464be25a9170a.jpg  \n",
            "  inflating: valid/Navid_411.jpg     \n",
            "  inflating: valid/Pias (168).jpg    \n",
            "  inflating: valid/Pias (497).jpg    \n",
            "  inflating: valid/Dipto_15.txt      \n",
            "  inflating: valid/Dipto_497.txt     \n",
            "  inflating: valid/Navid_413.jpg     \n",
            "  inflating: valid/Navid_735.jpg     \n",
            "  inflating: valid/Pias (510).txt    \n",
            "  inflating: valid/Pias (418).txt    \n",
            "  inflating: valid/Dipto_435.jpg     \n",
            "  inflating: valid/Dipto_ 317.txt    \n",
            "  inflating: valid/Navid_154.jpg     \n",
            "  inflating: valid/Pias (50).jpg     \n",
            "  inflating: valid/Asraf_36.jpg      \n",
            "  inflating: valid/Dipto_606.txt     \n",
            "  inflating: valid/Navid_77.jpg      \n",
            "  inflating: valid/Pias (162).txt    \n",
            "  inflating: valid/Dipto_463.jpg     \n",
            "  inflating: valid/Shykat_4_ (16)_jpg.rf.44c778a0bae5d189ce4ea4e1e11f4086.jpg  \n",
            "  inflating: valid/Dipto_ 61.jpg     \n",
            "  inflating: valid/Dipto_ 56.jpg     \n",
            "  inflating: valid/Navid_67.jpg      \n",
            "  inflating: valid/Dipto_ 338.txt    \n",
            "  inflating: valid/Dipto_ 201.txt    \n",
            "  inflating: valid/14.txt            \n",
            "  inflating: valid/Dipto_805.jpg     \n",
            "  inflating: valid/Pias (37).jpg     \n",
            "  inflating: valid/Dipto_744.txt     \n",
            "  inflating: valid/Dipto_ 201.jpg    \n",
            "  inflating: valid/Navid_649.JPG     \n",
            "  inflating: valid/Dipto_ 310.jpg    \n",
            "  inflating: valid/Numan_(169).jpg   \n",
            "  inflating: valid/Sabiha_(26)_jpg.rf.ef546854d56db3d8a951326eb388e814.jpg  \n",
            "  inflating: valid/Navid_613.JPG     \n",
            "  inflating: valid/Shykat_5_ (98)_jpg.rf.a7efc4441768d6458e162a86fd20a028.txt  \n",
            "  inflating: valid/Shykat_02_029_jpg.rf.67af43819cad129b563a84440ba6d0ba.jpg  \n",
            "  inflating: valid/Numan_(387).jpg   \n",
            "  inflating: valid/Navid_607.JPG     \n",
            "  inflating: valid/Pias (94).jpg     \n",
            "  inflating: valid/Navid_550.jpg     \n",
            "  inflating: valid/Navid_574.txt     \n",
            "  inflating: valid/Dipto_817.jpg     \n",
            "  inflating: valid/Navid_639.JPG     \n",
            "  inflating: valid/Navid_347.jpg     \n",
            "  inflating: valid/Dipto_736.txt     \n",
            "  inflating: valid/Pias (237).jpg    \n",
            "  inflating: valid/Navid_31.txt      \n",
            "  inflating: valid/Shykat_02_049_jpg.rf.f51ecb9546e5cfcff52edd0e3fc7e3fd.jpg  \n",
            "  inflating: valid/Navid_381.txt     \n",
            "  inflating: valid/Dipto_ 238.txt    \n",
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            "  inflating: valid/Dipto_ 285.txt    \n",
            "  inflating: valid/Dipto_ 108.txt    \n",
            "  inflating: valid/Navid_51.txt      \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W7yvimhi0gaG"
      },
      "source": [
        "#New Annotations\n",
        "!gdown --id '1i_o6WQ8NpMwzK8DadNIQM_XOteZX-RCS'\n",
        "!unzip test-converted.zip; rm test-converted.zip"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AGET3Zhk1K_s",
        "outputId": "3ffcb274-77c2-4406-cc25-e7f701177bb6"
      },
      "source": [
        "#counting files\n",
        "import os\n",
        "path, dirs, files = next(os.walk(\"/content/yolov5/Test_Data_Annotated/\"))\n",
        "file_count = len(files)\n",
        "print(file_count)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1236\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k46QXeYnw0xz"
      },
      "source": [
        "##Downloading Test Data for Round 2"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lcQvIq0Bw3r1"
      },
      "source": [
        "!gdown --id '1-qbpifQKv4n-mmzeHVGask5RVZfjlJgA'\n",
        "!unzip test2.zip; rm test2.zip;"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K4yCXXhQ8yyN"
      },
      "source": [
        "Downloading best weights for ensemble"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-VLYR3CUGG0K",
        "outputId": "368de1a2-1a44-4d06-9e90-ef6dc1e0c1d7"
      },
      "source": [
        "#best2.pt\n",
        "!gdown --id '1sGHeqLlSfu2IVygkIY9UOCfM23RmS8zp'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1sGHeqLlSfu2IVygkIY9UOCfM23RmS8zp\n",
            "To: /content/yolov5/best2.pt\n",
            "95.5MB [00:00, 125MB/s] \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k_74mYT_sH0f",
        "outputId": "86094ee0-edb7-4f31-d208-47c7ded1a301"
      },
      "source": [
        "#best.pt\n",
        "!gdown --id '1R1G4recgSo_zGkt9u4bxU-gY9NEbT2Y8'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1R1G4recgSo_zGkt9u4bxU-gY9NEbT2Y8\n",
            "To: /content/yolov5/best.pt\n",
            "95.5MB [00:01, 69.8MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gSufx4Jszt46",
        "outputId": "f109a336-773b-4073-e041-fc195e8ac0cd"
      },
      "source": [
        "#21 Class with pre-trained best2.pt weights\n",
        "!gdown --id '1Gzi9_QzMiXYcofhH5T5-UjAn4Y-X6bEd'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1Gzi9_QzMiXYcofhH5T5-UjAn4Y-X6bEd\n",
            "To: /content/yolov5/21ClassOnBest2.pt\n",
            "95.5MB [00:00, 262MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i1O3ovMj_8F7",
        "outputId": "a2ce18b1-f144-4a3f-cf0f-f7c2d65705bd"
      },
      "source": [
        "#21 Class on default weights with initial seed data\n",
        "!gdown --id '1gnoYxrcue1ZgBLqqV7AZKiiCWoT25KMy'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1gnoYxrcue1ZgBLqqV7AZKiiCWoT25KMy\n",
            "To: /content/yolov5/21ClassOnDefault.pt\n",
            "95.5MB [00:01, 78.5MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZPbhktHDzB6R",
        "outputId": "459ac5b5-dafb-4fae-cac6-3c72b322e72b"
      },
      "source": [
        "#21 Class with 5x weights iou 0.3 degrees 5.0 shear 0.1 mixup 0.4\n",
        "!gdown --id '1q2f6tAwGLvFvext_odfFuJJlzQOmZ9X9'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1q2f6tAwGLvFvext_odfFuJJlzQOmZ9X9\n",
            "To: /content/yolov5/best21_5x_i.pt\n",
            "178MB [00:01, 125MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gKyL_zuy_F6c",
        "outputId": "793761bb-8dd2-4dcd-d894-afe5e3a958c8"
      },
      "source": [
        "#21 Class with 5x 150 epochs\n",
        "!gdown --id '1D4rfknHnqTJnXZePdEjnLLcidMlrdyLd'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1D4rfknHnqTJnXZePdEjnLLcidMlrdyLd\n",
            "To: /content/yolov5/best5x_ii_(50 + 100).pt\n",
            "178MB [00:03, 54.9MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bN2L0QjhwpvN",
        "outputId": "23b5d71e-8911-4852-bea4-a266ab41a118"
      },
      "source": [
        "#Last weight on 710 seed data with 120 epoch\n",
        "!gdown --id '1VSv-684zc17UGI5O03rVNwMg2nx78NX1'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1VSv-684zc17UGI5O03rVNwMg2nx78NX1\n",
            "To: /content/yolov5/LastOption.pt\n",
            "710MB [00:12, 58.1MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XOOTVO0-yC5F"
      },
      "source": [
        "##Second Round"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CI4FJSOvx9pC",
        "outputId": "1dfe7c2b-7744-4ff6-e06c-a8059d0549bf"
      },
      "source": [
        "##21 class on 710 seed data with 100 epoch\n",
        "!gdown --id '1DAWzFgTXcFHzv5TpbJQkghXb_i5JWPnq'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1DAWzFgTXcFHzv5TpbJQkghXb_i5JWPnq\n",
            "To: /content/yolov5/Seed_1309_Epoch_100.pt\n",
            "709MB [00:08, 82.7MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "okgz1S0FskNC"
      },
      "source": [
        "# IMPORTANT\n",
        "After downlaoding the data, we have to create a folder named **dhaka-traffic** in the **content** directory, then move the **metadata, train and valid** folder from the /content/yolo5/ folder into the /content/dhaka-traffic/ folder.\n",
        "\n",
        "---\n",
        "Download the **traffic.yaml** file from\n",
        "\n",
        "https://drive.google.com/file/d/1EYMGQ31L-8jISoCK5ZA0J6yCTooUa1JJ/view?usp=sharing\n",
        "\n",
        "and place it into /content/yolov5/data\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VlWwdZ-9tUA8"
      },
      "source": [
        "# Training our model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C_ooxLZ28A1_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "204e1f39-dc8c-4cc8-c3f4-3d0a38e47183"
      },
      "source": [
        "%cd /content/yolov5\n",
        "!python train.py --img 640 --batch 16 --epochs 100 --data ./data/traffic21.yaml --cfg ./models/yolov5x.yaml --weights LastOption.pt "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/yolov5\n",
            "Using torch 1.7.0+cu101 CUDA:0 (Tesla T4, 15079MB)\n",
            "\n",
            "Namespace(adam=False, batch_size=16, bucket='', cache_images=False, cfg='./models/yolov5x.yaml', data='./data/traffic21.yaml', device='', epochs=100, evolve=False, exist_ok=False, global_rank=-1, hyp='data/hyp.scratch.yaml', image_weights=False, img_size=[640, 640], local_rank=-1, log_imgs=16, multi_scale=False, name='exp', noautoanchor=False, nosave=False, notest=False, project='runs/train', rect=False, resume=False, save_dir='runs/train/exp', single_cls=False, sync_bn=False, total_batch_size=16, weights='LastOption.pt', workers=8, world_size=1)\n",
            "Start Tensorboard with \"tensorboard --logdir runs/train\", view at http://localhost:6006/\n",
            "2020-12-07 15:51:26.417840: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n",
            "Hyperparameters {'lr0': 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': 0.25, 'anchor_t': 4.0, 'fl_gamma': 0.0, 'hsv_h': 0.015, 'hsv_s': 0.7, 'hsv_v': 0.4, 'degrees': 10.0, 'translate': 0.1, 'scale': 0.75, 'shear': 0.2, 'perspective': 0.0, 'flipud': 0.3, 'fliplr': 0.5, 'mosaic': 1.0, 'mixup': 0.4}\n",
            "Overriding model.yaml nc=80 with nc=21\n",
            "\n",
            "                 from  n    params  module                                  arguments                     \n",
            "  0                -1  1      8800  models.common.Focus                     [3, 80, 3]                    \n",
            "  1                -1  1    115520  models.common.Conv                      [80, 160, 3, 2]               \n",
            "  2                -1  1    315680  models.common.BottleneckCSP             [160, 160, 4]                 \n",
            "  3                -1  1    461440  models.common.Conv                      [160, 320, 3, 2]              \n",
            "  4                -1  1   3311680  models.common.BottleneckCSP             [320, 320, 12]                \n",
            "  5                -1  1   1844480  models.common.Conv                      [320, 640, 3, 2]              \n",
            "  6                -1  1  13228160  models.common.BottleneckCSP             [640, 640, 12]                \n",
            "  7                -1  1   7375360  models.common.Conv                      [640, 1280, 3, 2]             \n",
            "  8                -1  1   4099840  models.common.SPP                       [1280, 1280, [5, 9, 13]]      \n",
            "  9                -1  1  20087040  models.common.BottleneckCSP             [1280, 1280, 4, False]        \n",
            " 10                -1  1    820480  models.common.Conv                      [1280, 640, 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   5435520  models.common.BottleneckCSP             [1280, 640, 4, False]         \n",
            " 14                -1  1    205440  models.common.Conv                      [640, 320, 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   1360960  models.common.BottleneckCSP             [640, 320, 4, False]          \n",
            " 18                -1  1    922240  models.common.Conv                      [320, 320, 3, 2]              \n",
            " 19          [-1, 14]  1         0  models.common.Concat                    [1]                           \n",
            " 20                -1  1   5025920  models.common.BottleneckCSP             [640, 640, 4, False]          \n",
            " 21                -1  1   3687680  models.common.Conv                      [640, 640, 3, 2]              \n",
            " 22          [-1, 10]  1         0  models.common.Concat                    [1]                           \n",
            " 23                -1  1  20087040  models.common.BottleneckCSP             [1280, 1280, 4, False]        \n",
            " 24      [17, 20, 23]  1    174954  models.yolo.Detect                      [21, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [320, 640, 1280]]\n",
            "Model Summary: 607 layers, 88568234 parameters, 88568234 gradients\n",
            "\n",
            "Transferred 800/802 items from LastOption.pt\n",
            "Optimizer groups: 134 .bias, 142 conv.weight, 131 other\n",
            "LastOption.pt has been trained for 109 epochs. Fine-tuning for 100 additional epochs.\n",
            "Scanning '../dhaka-traffic/train' for images and labels... 412 found, 0 missing, 0 empty, 0 corrupted: 100% 412/412 [00:00<00:00, 3197.32it/s]\n",
            "New cache created: ../dhaka-traffic/train.cache\n",
            "Scanning '../dhaka-traffic/train.cache' for images and labels... 412 found, 0 missing, 0 empty, 0 corrupted: 100% 412/412 [00:00<00:00, 5400166.40it/s]\n",
            "Scanning '../dhaka-traffic/valid' for images and labels... 341 found, 0 missing, 0 empty, 0 corrupted: 100% 341/341 [00:00<00:00, 1815.43it/s]\n",
            "New cache created: ../dhaka-traffic/valid.cache\n",
            "Scanning '../dhaka-traffic/valid.cache' for images and labels... 341 found, 0 missing, 0 empty, 0 corrupted: 100% 341/341 [00:00<00:00, 3150347.28it/s]\n",
            "\n",
            "Analyzing anchors... anchors/target = 5.25, Best Possible Recall (BPR) = 1.0000\n",
            "Image sizes 640 train, 640 test\n",
            "Using 2 dataloader workers\n",
            "Logging results to runs/train/exp\n",
            "Starting training for 209 epochs...\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "  0% 0/26 [00:00<?, ?it/s]NumExpr defaulting to 2 threads.\n",
            "   110/208     11.5G   0.04256   0.07052   0.09579    0.2089       125       640: 100% 26/26 [00:55<00:00,  2.13s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:16<00:00,  1.37it/s]\n",
            "                 all         341    2.25e+03      0.0728       0.189       0.137      0.0908\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   111/208     14.5G    0.0466   0.07271   0.06149    0.1808       207       640: 100% 26/26 [00:40<00:00,  1.58s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.102       0.229       0.211       0.132\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   112/208     14.5G   0.04833   0.06871   0.05153    0.1686       110       640: 100% 26/26 [00:42<00:00,  1.64s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.49it/s]\n",
            "                 all         341    2.25e+03       0.158       0.236        0.25       0.159\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   113/208     14.5G   0.04444    0.0665   0.04592    0.1569       147       640: 100% 26/26 [00:41<00:00,  1.59s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.276       0.262       0.273        0.17\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   114/208     14.5G   0.04608   0.07052   0.04045     0.157       132       640: 100% 26/26 [00:43<00:00,  1.66s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.55it/s]\n",
            "                 all         341    2.25e+03       0.324       0.277       0.288       0.167\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   115/208     14.5G   0.04397   0.06343   0.03808    0.1455        93       640: 100% 26/26 [00:43<00:00,  1.66s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.54it/s]\n",
            "                 all         341    2.25e+03       0.219       0.301       0.304       0.186\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   116/208     14.5G   0.04305   0.06354   0.03697    0.1436       162       640: 100% 26/26 [00:42<00:00,  1.64s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.51it/s]\n",
            "                 all         341    2.25e+03       0.239       0.351       0.323       0.202\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   117/208     14.5G   0.04232   0.06334   0.03472    0.1404       113       640: 100% 26/26 [00:43<00:00,  1.66s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.41it/s]\n",
            "                 all         341    2.25e+03       0.229       0.372       0.339       0.208\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   118/208     14.5G   0.04155   0.06476    0.0319    0.1382       125       640: 100% 26/26 [00:43<00:00,  1.67s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.47it/s]\n",
            "                 all         341    2.25e+03       0.267       0.385        0.35       0.201\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   119/208     14.5G   0.04127   0.06072   0.03077    0.1328       161       640: 100% 26/26 [00:44<00:00,  1.70s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.45it/s]\n",
            "                 all         341    2.25e+03       0.253       0.421       0.364       0.225\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   120/208     14.5G   0.04275   0.06169   0.02902    0.1335        85       640: 100% 26/26 [00:44<00:00,  1.70s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.287       0.426       0.372       0.227\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   121/208     14.5G   0.03907   0.06404   0.02758    0.1307       159       640: 100% 26/26 [00:43<00:00,  1.68s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.38it/s]\n",
            "                 all         341    2.25e+03       0.282       0.432       0.367       0.206\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   122/208     14.5G   0.04201   0.06545   0.02846    0.1359       160       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.54it/s]\n",
            "                 all         341    2.25e+03        0.29       0.428       0.374       0.208\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   123/208     14.5G   0.03966   0.06058   0.02704    0.1273       126       640: 100% 26/26 [00:44<00:00,  1.69s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.374       0.441       0.392       0.239\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   124/208     14.5G   0.04111    0.0636   0.02702    0.1317       137       640: 100% 26/26 [00:44<00:00,  1.70s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.422       0.471       0.408       0.244\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   125/208     14.5G   0.03947   0.06094   0.02614    0.1265       119       640: 100% 26/26 [00:44<00:00,  1.69s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.412       0.494       0.418       0.246\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   126/208     14.5G   0.03998   0.05792   0.02573    0.1236       166       640: 100% 26/26 [00:42<00:00,  1.64s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.45it/s]\n",
            "                 all         341    2.25e+03       0.409       0.486       0.414       0.237\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   127/208     14.5G    0.0406   0.06045   0.02393     0.125       127       640: 100% 26/26 [00:42<00:00,  1.64s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.43it/s]\n",
            "                 all         341    2.25e+03       0.418       0.493       0.423       0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   128/208     14.5G    0.0396   0.06319   0.02492    0.1277       149       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.404       0.511       0.421       0.249\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   129/208     14.5G   0.04017    0.0613   0.02432    0.1258       115       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.48it/s]\n",
            "                 all         341    2.25e+03       0.428         0.5       0.432       0.271\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   130/208     14.5G   0.03976   0.06364   0.02315    0.1266       163       640: 100% 26/26 [00:45<00:00,  1.76s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.54it/s]\n",
            "                 all         341    2.25e+03       0.416       0.504       0.433       0.274\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   131/208     14.5G   0.03791   0.05709   0.02383    0.1188       113       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.402        0.53       0.442       0.274\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   132/208     14.5G   0.03799   0.05931   0.02239    0.1197       154       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.47it/s]\n",
            "                 all         341    2.25e+03       0.394       0.521       0.435        0.26\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   133/208     14.5G   0.03824   0.05972   0.02325    0.1212       131       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.51it/s]\n",
            "                 all         341    2.25e+03       0.404       0.537       0.456       0.288\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   134/208     14.5G   0.03784   0.05866   0.02209    0.1186       145       640: 100% 26/26 [00:44<00:00,  1.70s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.41it/s]\n",
            "                 all         341    2.25e+03       0.409       0.537       0.453       0.279\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   135/208     14.5G   0.03836   0.05884   0.02137    0.1186       162       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.47it/s]\n",
            "                 all         341    2.25e+03       0.417       0.523       0.449       0.285\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   136/208     14.5G   0.03905   0.05414   0.02056    0.1138       157       640: 100% 26/26 [00:43<00:00,  1.69s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.48it/s]\n",
            "                 all         341    2.25e+03       0.422       0.517       0.454       0.281\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   137/208     14.5G    0.0381   0.05852   0.02145    0.1181       100       640: 100% 26/26 [00:45<00:00,  1.75s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.49it/s]\n",
            "                 all         341    2.25e+03       0.403       0.532       0.446       0.278\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   138/208     14.5G   0.03742   0.05819   0.02041     0.116       139       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.49it/s]\n",
            "                 all         341    2.25e+03       0.421       0.543       0.458       0.285\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   139/208     14.5G   0.03772   0.05866   0.02057     0.117        91       640: 100% 26/26 [00:43<00:00,  1.69s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.40it/s]\n",
            "                 all         341    2.25e+03       0.405       0.544       0.459       0.284\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   140/208     14.5G   0.03764   0.05943    0.0213    0.1184       171       640: 100% 26/26 [00:45<00:00,  1.75s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.51it/s]\n",
            "                 all         341    2.25e+03       0.389       0.542       0.453       0.274\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   141/208     14.5G   0.03796   0.05722   0.02112    0.1163       136       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03       0.397       0.533        0.45       0.273\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   142/208     14.5G   0.03683   0.05671   0.01937    0.1129       153       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.49it/s]\n",
            "                 all         341    2.25e+03         0.4       0.537       0.448       0.267\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   143/208     14.5G   0.03692   0.05499   0.01891    0.1108       174       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.53it/s]\n",
            "                 all         341    2.25e+03       0.406       0.537       0.455       0.291\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   144/208     14.5G   0.03734   0.05445   0.01923     0.111       129       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.51it/s]\n",
            "                 all         341    2.25e+03        0.41       0.541       0.455       0.289\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   145/208     14.5G   0.03566   0.06026    0.0191     0.115       123       640: 100% 26/26 [00:45<00:00,  1.76s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.47it/s]\n",
            "                 all         341    2.25e+03       0.406        0.53       0.447       0.278\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   146/208     14.5G   0.03769   0.05986   0.01919    0.1167       194       640: 100% 26/26 [00:45<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.404       0.541       0.457       0.283\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   147/208     14.5G   0.03642   0.05692   0.01898    0.1123       139       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.47it/s]\n",
            "                 all         341    2.25e+03       0.387       0.559       0.468       0.293\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   148/208     14.5G   0.03692   0.05481   0.01888    0.1106       147       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.392       0.557       0.468       0.296\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   149/208     14.5G     0.035   0.05322   0.01723    0.1055       126       640: 100% 26/26 [00:43<00:00,  1.68s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03       0.404       0.542        0.46       0.272\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   150/208     14.5G   0.03571    0.0571   0.01746    0.1103       177       640: 100% 26/26 [00:43<00:00,  1.68s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.43it/s]\n",
            "                 all         341    2.25e+03       0.404       0.535       0.457       0.281\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   151/208     14.5G   0.03538   0.05703   0.01857     0.111       195       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.43it/s]\n",
            "                 all         341    2.25e+03       0.394       0.538       0.456       0.288\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   152/208     14.5G   0.03651    0.0571   0.01822    0.1118       115       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03         0.4       0.507       0.431       0.278\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   153/208     14.5G   0.03614   0.05641   0.01807    0.1106        85       640: 100% 26/26 [00:43<00:00,  1.68s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.395       0.526       0.443       0.281\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   154/208     14.5G   0.03515   0.05246   0.01712    0.1047       195       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.378        0.54       0.462        0.29\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   155/208     14.5G   0.03493   0.05549   0.01737    0.1078       151       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.51it/s]\n",
            "                 all         341    2.25e+03       0.387       0.533       0.453       0.282\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   156/208     14.5G   0.03553   0.05393   0.01765    0.1071       178       640: 100% 26/26 [00:44<00:00,  1.70s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.43it/s]\n",
            "                 all         341    2.25e+03       0.392       0.517       0.434       0.278\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   157/208     14.5G     0.035   0.05647    0.0169    0.1084       114       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.384       0.531       0.452        0.29\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   158/208     14.5G   0.03433   0.05417   0.01646     0.105       148       640: 100% 26/26 [00:45<00:00,  1.75s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.49it/s]\n",
            "                 all         341    2.25e+03       0.383        0.55       0.461       0.291\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   159/208     14.5G   0.03491   0.05467   0.01734    0.1069       171       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.43it/s]\n",
            "                 all         341    2.25e+03       0.382        0.55        0.46       0.283\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   160/208     14.5G   0.03632   0.05499   0.01659    0.1079       132       640: 100% 26/26 [00:43<00:00,  1.67s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03         0.4       0.538        0.46       0.288\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   161/208     14.5G   0.03409   0.05048   0.01582    0.1004       121       640: 100% 26/26 [00:43<00:00,  1.68s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.39it/s]\n",
            "                 all         341    2.25e+03       0.396       0.541       0.466       0.294\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   162/208     14.5G   0.03503   0.05761   0.01673    0.1094       133       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.43it/s]\n",
            "                 all         341    2.25e+03       0.394       0.546       0.467       0.297\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   163/208     14.5G   0.03485   0.05532    0.0156    0.1058       179       640: 100% 26/26 [00:43<00:00,  1.67s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.41it/s]\n",
            "                 all         341    2.25e+03       0.394       0.538       0.468       0.289\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   164/208     14.5G   0.03511   0.05653   0.01589    0.1075       161       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:16<00:00,  1.36it/s]\n",
            "                 all         341    2.25e+03       0.402       0.548       0.474       0.294\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   165/208     14.5G   0.03411    0.0528   0.01607     0.103       125       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03       0.396       0.545       0.474         0.3\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   166/208     14.5G    0.0343   0.05379   0.01601    0.1041       162       640: 100% 26/26 [00:46<00:00,  1.77s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.41it/s]\n",
            "                 all         341    2.25e+03         0.4       0.542       0.473       0.299\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   167/208     14.5G   0.03528    0.0562   0.01596    0.1074       102       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.406       0.518       0.469       0.295\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   168/208     14.5G   0.03503   0.05416   0.01556    0.1048       144       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.419       0.519       0.474       0.302\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   169/208     14.5G   0.03467   0.05637   0.01544    0.1065       152       640: 100% 26/26 [00:45<00:00,  1.75s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03       0.425       0.522       0.473       0.302\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   170/208     14.5G   0.03383   0.05229   0.01496    0.1011       138       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.414        0.53       0.472       0.296\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   171/208     14.5G    0.0343   0.05508   0.01616    0.1055       175       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.405       0.539       0.477        0.31\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   172/208     14.5G   0.03417   0.04968   0.01472   0.09857       137       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.45it/s]\n",
            "                 all         341    2.25e+03       0.413       0.535       0.471       0.309\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   173/208     14.5G   0.03411   0.05305   0.01493    0.1021       163       640: 100% 26/26 [00:44<00:00,  1.72s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.414       0.536       0.475       0.306\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   174/208     14.5G    0.0341   0.05371   0.01501    0.1028       145       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03         0.4        0.53       0.472       0.304\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   175/208     14.5G   0.03404   0.05182   0.01511     0.101       156       640: 100% 26/26 [00:45<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.45it/s]\n",
            "                 all         341    2.25e+03         0.4       0.531       0.472         0.3\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   176/208     14.5G   0.03416   0.05366   0.01499    0.1028       134       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03       0.408       0.527       0.471       0.303\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   177/208     14.5G   0.03341   0.05385   0.01477     0.102        86       640: 100% 26/26 [00:45<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.45it/s]\n",
            "                 all         341    2.25e+03         0.4       0.518       0.462       0.296\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   178/208     14.5G   0.03352   0.05215   0.01479    0.1005       212       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.402       0.518        0.46        0.29\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   179/208     14.5G   0.03372    0.0526   0.01462    0.1009       119       640: 100% 26/26 [00:46<00:00,  1.78s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.49it/s]\n",
            "                 all         341    2.25e+03       0.414       0.518       0.459        0.29\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   180/208     14.5G   0.03385   0.05362   0.01535    0.1028       140       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.40it/s]\n",
            "                 all         341    2.25e+03       0.406       0.526       0.461       0.292\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   181/208     14.5G   0.03271   0.05094   0.01364   0.09729       154       640: 100% 26/26 [00:45<00:00,  1.77s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.48it/s]\n",
            "                 all         341    2.25e+03       0.411       0.519       0.465       0.302\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   182/208     14.5G   0.03324   0.05165   0.01486   0.09975       154       640: 100% 26/26 [00:45<00:00,  1.76s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.50it/s]\n",
            "                 all         341    2.25e+03         0.4       0.527       0.465         0.3\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   183/208     14.5G   0.03378   0.05192   0.01479    0.1005        94       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.408       0.535       0.466       0.296\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   184/208     14.5G   0.03351   0.05239   0.01401   0.09991       130       640: 100% 26/26 [00:44<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.42it/s]\n",
            "                 all         341    2.25e+03       0.402        0.53       0.461       0.302\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   185/208     14.5G   0.03383   0.05281   0.01425    0.1009       140       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.399       0.523       0.461       0.292\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   186/208     14.5G   0.03291   0.05155   0.01409   0.09855       205       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.50it/s]\n",
            "                 all         341    2.25e+03       0.406       0.527       0.464       0.291\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   187/208     14.5G   0.03336   0.05159   0.01448   0.09943       135       640: 100% 26/26 [00:45<00:00,  1.73s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.46it/s]\n",
            "                 all         341    2.25e+03       0.398       0.532       0.464       0.295\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   188/208     14.5G   0.03286    0.0505   0.01409   0.09745       143       640: 100% 26/26 [00:44<00:00,  1.71s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.404       0.537       0.465       0.292\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   189/208     14.5G   0.03351   0.05506   0.01416    0.1027       144       640: 100% 26/26 [00:45<00:00,  1.76s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:14<00:00,  1.48it/s]\n",
            "                 all         341    2.25e+03       0.401       0.535       0.469       0.294\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   190/208     14.5G   0.03318   0.05478   0.01471    0.1027       159       640: 100% 26/26 [00:45<00:00,  1.74s/it]\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 22/22 [00:15<00:00,  1.44it/s]\n",
            "                 all         341    2.25e+03       0.405       0.513       0.457       0.292\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total   targets  img_size\n",
            "   191/208     14.5G   0.02945   0.05084   0.01163   0.09192       257       640:   8% 2/26 [00:02<00:33,  1.41s/it]\n",
            "   191/208     14.5G   0.02945   0.05084   0.01163   0.09192       257       640:   8% 2/26 [00:04<00:55,  2.31s/it]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RDGJV8Jcu9yE"
      },
      "source": [
        "# Test on Validation Set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9byh68wpuXpk",
        "outputId": "db254a94-f23a-46c1-a70c-440ada23a6ba"
      },
      "source": [
        "!python test.py --data ./data/traffic.yaml --weights last.pt --img-size 1024 --augment \n",
        "# LastOption.pt best5x_ii_150.pt"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Traceback (most recent call last):\n",
            "  File \"test.py\", line 302, in <module>\n",
            "    opt.data = check_file(opt.data)  # check file\n",
            "  File \"/content/yolov5/utils/general.py\", line 70, in check_file\n",
            "    assert len(files), 'File Not Found: %s' % file  # assert file was found\n",
            "AssertionError: File Not Found: ./data/traffic.yaml\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZoA_T92nvDSr"
      },
      "source": [
        "## Modified detection function for converting the results to a file format that is acceptable"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7lF6pIvazlQe"
      },
      "source": [
        "from IPython.display import clear_output\n",
        "from models import *  \n",
        "from utils.datasets import *\n",
        "from utils.torch_utils import select_device, load_classifier, time_synchronized\n",
        "import argparse\n",
        "import os\n",
        "import shutil\n",
        "import time\n",
        "from pathlib import Path\n",
        "\n",
        "import cv2\n",
        "import torch\n",
        "import torch.backends.cudnn as cudnn\n",
        "from numpy import random\n",
        "\n",
        "from utils.plots import plot_one_box\n",
        "from models.experimental import attempt_load\n",
        "from utils.datasets import LoadStreams, LoadImages\n",
        "from utils.general import (\n",
        "    check_img_size, non_max_suppression, apply_classifier, scale_coords,\n",
        "    xyxy2xywh, strip_optimizer, set_logging)\n",
        "\n",
        "def detect(save_img=False):\n",
        "    imgsz = opt.img_size \n",
        "    out, source, weights, view_img, save_txt = opt.output, opt.source, opt.weights, opt.view_img, opt.save_txt\n",
        "\n",
        "    # Initialize\n",
        "    set_logging()\n",
        "    device = select_device(opt.device)\n",
        "    if os.path.exists(out):\n",
        "        shutil.rmtree(out)  # delete output folder\n",
        "    os.makedirs(out)  # make new output folder\n",
        "    half = device.type != 'cpu'  # half precision only supported on CUDA\n",
        "\n",
        "    # Load model\n",
        "    model = attempt_load(weights, map_location=device)  # load FP32 model\n",
        "    imgsz = check_img_size(imgsz, s=model.stride.max())  # check img_size\n",
        "    if half:\n",
        "        model.half()  # to FP16\n",
        "    \n",
        "\n",
        "    # Half precision\n",
        "    half = half and device.type != 'cpu'  # half precision only supported on CUDA\n",
        "    if half:\n",
        "        model.half()\n",
        "\n",
        "    # Set Dataloader\n",
        "    vid_path, vid_writer = None, None\n",
        "    save_img = True\n",
        "    dataset = LoadImages(source, img_size=imgsz)\n",
        "\n",
        "    # Get names and colors\n",
        "    names = model.module.names if hasattr(model, 'module') else model.names\n",
        "    colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(names))]\n",
        "\n",
        "    # Run inference\n",
        "    t0 = time.time()\n",
        "    img = torch.zeros((1, 3, imgsz, imgsz), device=device)  # init img\n",
        "    _ = model(img.half() if half else img.float()) if device.type != 'cpu' else None  # run once\n",
        "\n",
        "    results=[]\n",
        "    for path, img, im0s, vid_cap in dataset:\n",
        "        img = torch.from_numpy(img).to(device)\n",
        "        img = img.half() if half else img.float()  # uint8 to fp16/32\n",
        "        img /= 255.0  # 0 - 255 to 0.0 - 1.0\n",
        "        if img.ndimension() == 3:\n",
        "            img = img.unsqueeze(0)\n",
        "\n",
        "        # Inference\n",
        "        t1 = time_synchronized()\n",
        "        pred = model(img, augment=opt.augment)[0]\n",
        "        t2 = time_synchronized()\n",
        "\n",
        "        # to float\n",
        "        if half:\n",
        "            pred = pred.float()\n",
        "\n",
        "        # Apply NMS\n",
        "        pred = non_max_suppression(pred, opt.conf_thres, opt.iou_thres,\n",
        "                                   classes=opt.classes, agnostic=opt.agnostic_nms)\n",
        "\n",
        "        # Process detections\n",
        "        for i, det in enumerate(pred):  # detections for image i\n",
        "            \n",
        "            p, s, im0 = path, '', im0s          \n",
        "\n",
        "            save_path = str(Path(out) / Path(p).name)\n",
        "            #print(p)\n",
        "            s += '%gx%g ' % img.shape[2:]  # print string\n",
        "            #print(s)\n",
        "            gn = torch.tensor(im0.shape)[[1, 0, 1, 0]]  #  normalization gain whwh\n",
        "            if det is not None and len(det):\n",
        "                # Rescale boxes from imgsz to im0 size\n",
        "                det[:, :4] = scale_coords(img.shape[2:], det[:, :4], im0.shape).round()\n",
        "\n",
        "                # Print results\n",
        "                for c in det[:, -1].unique():\n",
        "                    n = (det[:, -1] == c).sum()  # detections per class\n",
        "                    s += '%g %ss, ' % (n, names[int(c)])  # add to string\n",
        "\n",
        "                xmin = []\n",
        "                ymin = []\n",
        "                xmax = []\n",
        "                ymax = []\n",
        "                scores = []\n",
        "                labels_value=[]\n",
        "                image_ids=[]\n",
        "                # Write results\n",
        "                for *xyxy, conf, cls in det:\n",
        "                    if save_txt:  # Write to file\n",
        "                        \n",
        "                        conf_score = '%.2f' % (conf)\n",
        "                        label_with_cls = '%s' % (names[int(cls)])\n",
        "                        \n",
        "                        labels_value.append(label_with_cls)\n",
        "                        \n",
        "                        xmin.append(int(xyxy[0]))\n",
        "                        ymin.append(int(xyxy[1]))\n",
        "                        xmax.append(int(xyxy[2]))\n",
        "                        ymax.append(int(xyxy[3]))\n",
        "                        \n",
        "                        scores.append(conf_score)\n",
        "                        image_ids.append(save_path)\n",
        "\n",
        "                        xywh = (xyxy2xywh(torch.tensor(xyxy).view(1, 4)) / gn).view(-1).tolist()  # normalized xywh\n",
        "                        with open(save_path[:save_path.rfind('.')] + '.txt', 'a') as file:\n",
        "                            file.write(('%g ' * 5 + '\\n') % (cls, *xywh))  # label format\n",
        "\n",
        "                    if save_img or view_img:  # Add bbox to image\n",
        "                        label = '%s %.2f' % (names[int(cls)], conf)\n",
        "                        plot_one_box(xyxy, im0, label=label, color=colors[int(cls)])\n",
        "\n",
        "            # Print time (inference + NMS)\n",
        "            print('%sDone. (%.3fs)' % (s, t2 - t1))\n",
        "\n",
        "            # Stream results\n",
        "            if view_img:\n",
        "                cv2.imshow(p, im0)\n",
        "                if cv2.waitKey(1) == ord('q'):  # q to quit\n",
        "                    raise StopIteration\n",
        "\n",
        "            # Save results (image with detections)\n",
        "            if save_img:\n",
        "                if dataset.mode == 'images':\n",
        "                    cv2.imwrite(save_path, im0)\n",
        "        result = {\n",
        "            'image_id': image_ids,\n",
        "            'score': scores,\n",
        "            'class': labels_value,\n",
        "            'xmin': xmin,\n",
        "            'ymin': ymin,\n",
        "            'xmax': xmax,\n",
        "            'ymax': ymax\n",
        "\n",
        "            }\n",
        "\n",
        "        results.append(result)\n",
        "\n",
        "    if save_txt or save_img:\n",
        "        print('Results saved to %s' % os.getcwd() + os.sep + out)\n",
        "\n",
        "    print('Done. (%.3fs)' % (time.time() - t0))\n",
        "    return results"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HoH_d56XzmDx",
        "outputId": "2fd061a7-bbac-4a35-8935-cb279de6b183"
      },
      "source": [
        "%cd /content/yolov5/\n",
        "class opt:\n",
        "    weights=['LastOption.pt', 'last.pt', 'best5x_ii_150.pt']\n",
        "    source='test'\n",
        "    save_txt=True\n",
        "    output='output'  # Output directory of the results\n",
        "    classes=False\n",
        "    img_size=1024    # Inference Imag Size\n",
        "    conf_thres=0.194\n",
        "    iou_thres=0.351\n",
        "    fourcc='mp4v'\n",
        "    half=False\n",
        "    device=''\n",
        "    view_img=False\n",
        "    agnostic_nms=False\n",
        "    augment=False\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/yolov5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wCKnD2ykvbP5"
      },
      "source": [
        "# Run Detection on Test Set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0y3FtN8d3xno",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0820d954-aedc-4b03-cd58-6f56f4d2af95"
      },
      "source": [
        "with torch.no_grad():\n",
        "    res=detect()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using torch 1.7.0+cu101 CUDA:0 (Tesla T4, 15079MB)\n",
            "\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Fusing layers... \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Model Summary: 484 layers, 88525194 parameters, 0 gradients\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Fusing layers... \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Model Summary: 484 layers, 88525194 parameters, 0 gradients\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Fusing layers... \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Model Summary: 484 layers, 88525194 parameters, 0 gradients\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Ensemble created with ['LastOption.pt', 'last.pt', 'best5x_ii_150.pt']\n",
            "\n",
            "image 1/450 /content/yolov5/test/Asraf_100_jpg.rf.472d5bd950587612520051eebd827328.jpg: 1024x1024 2 bicycles, 2 buss, 6 minivans, 2 pickups, 8 rickshaws, 1 three wheelers (CNG)s, Done. (0.199s)\n",
            "image 2/450 /content/yolov5/test/Asraf_101_jpg.rf.58690ebe018b849e3d3f6ef8785ca148.jpg: 1024x1024 2 bicycles, 5 buss, 2 cars, 1 minivans, 1 rickshaws, Done. (0.188s)\n",
            "image 3/450 /content/yolov5/test/Asraf_102_jpg.rf.40d695ed6f8db102530afcb11db466fa.jpg: 1024x1024 3 bicycles, 5 buss, 2 cars, 1 minivans, 3 rickshaws, Done. (0.188s)\n",
            "image 4/450 /content/yolov5/test/Asraf_103_jpg.rf.19874eeb1f0a60c783cf34375a7c724b.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 motorbikes, Done. (0.187s)\n",
            "image 5/450 /content/yolov5/test/Asraf_104_jpg.rf.a5288ec7a648c79f1806a0df2cddeb55.jpg: 1024x1024 1 bicycles, 1 buss, 1 garbagevans, 1 motorbikes, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.188s)\n",
            "image 6/450 /content/yolov5/test/Asraf_105_jpg.rf.c632d88cde53186ccf67d13ef8abcc78.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 1 motorbikes, 3 pickups, 1 army vehicles, 2 rickshaws, 2 three wheelers (CNG)s, Done. (0.188s)\n",
            "image 7/450 /content/yolov5/test/Asraf_106_jpg.rf.7992ce0a5986190ec8edc556b2e777b4.jpg: 1024x1024 1 auto rickshaws, 1 buss, 2 minivans, 4 rickshaws, Done. (0.187s)\n",
            "image 8/450 /content/yolov5/test/Asraf_107_jpg.rf.d07a632c065fd4f81de21c0fe7f4d0b9.jpg: 1024x1024 1 bicycles, 1 buss, 3 minivans, 1 pickups, 4 rickshaws, Done. (0.188s)\n",
            "image 9/450 /content/yolov5/test/Asraf_108_jpg.rf.6141d24a0c99a85b5dd171596e155f4c.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, 1 garbagevans, 5 minivans, 1 motorbikes, 1 pickups, 6 rickshaws, 2 three wheelers (CNG)s, Done. (0.190s)\n",
            "image 10/450 /content/yolov5/test/Asraf_109_jpg.rf.1d9c0aa1826587208ad51ac330e78611.jpg: 1024x1024 2 bicycles, 2 buss, 2 garbagevans, 1 minivans, 2 motorbikes, 1 rickshaws, Done. (0.188s)\n",
            "image 11/450 /content/yolov5/test/Asraf_110_jpg.rf.1db956dfe524cd925629f615131137ac.jpg: 1024x1024 3 bicycles, 2 buss, 1 minivans, 1 pickups, 2 rickshaws, Done. (0.188s)\n",
            "image 12/450 /content/yolov5/test/Asraf_111_jpg.rf.c063660bbf498d06b785325c68085c2e.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 pickups, 1 policecars, 2 rickshaws, Done. (0.189s)\n",
            "image 13/450 /content/yolov5/test/Asraf_64_jpg.rf.779cb456e69c0805fa0a50bc39a9461f.jpg: 1024x1024 4 buss, 4 cars, 2 minivans, 1 pickups, 1 policecars, 2 vans, Done. (0.187s)\n",
            "image 14/450 /content/yolov5/test/Asraf_65_jpg.rf.4eb77439facacae477ec0091301b3e8d.jpg: 1024x1024 6 buss, 4 cars, 2 minivans, 1 three wheelers (CNG)s, 1 vans, Done. (0.188s)\n",
            "image 15/450 /content/yolov5/test/Asraf_66_jpg.rf.97916ae00995fb104db9a6f5dc1b47bb.jpg: 1024x1024 4 buss, 5 cars, 1 minivans, 1 policecars, 1 suvs, 1 three wheelers (CNG)s, 1 vans, Done. (0.188s)\n",
            "image 16/450 /content/yolov5/test/Asraf_67_jpg.rf.7c2546e324a58456e8a1d048f182856e.jpg: 1024x1024 4 buss, 6 cars, 2 minivans, 1 pickups, 1 army vehicles, 1 policecars, 1 vans, Done. (0.187s)\n",
            "image 17/450 /content/yolov5/test/Asraf_68_jpg.rf.31b0e5a991ac3eb0f8f94185bcede7cf.jpg: 1024x1024 5 buss, 3 cars, 2 minivans, 2 pickups, 1 army vehicles, Done. (0.190s)\n",
            "image 18/450 /content/yolov5/test/Asraf_69_jpg.rf.847d6a985fb4afd6a54ad4967e49fbf0.jpg: 1024x1024 4 buss, 2 cars, 2 minivans, 3 pickups, 1 army vehicles, 1 three wheelers (CNG)s, Done. (0.189s)\n",
            "image 19/450 /content/yolov5/test/Asraf_70_jpg.rf.3f3c1e6c10245f5da3807234a71b74b4.jpg: 1024x1024 4 buss, 2 cars, 1 minivans, 1 motorbikes, 3 pickups, 1 army vehicles, 1 policecars, 1 three wheelers (CNG)s, Done. (0.189s)\n",
            "image 20/450 /content/yolov5/test/Asraf_71_jpg.rf.8ffee970020b461546ae7e02e94c0580.jpg: 1024x1024 1 bicycles, 3 buss, 4 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 1 pickups, 1 policecars, 1 three wheelers (CNG)s, Done. (0.189s)\n",
            "image 21/450 /content/yolov5/test/Asraf_72_jpg.rf.4d4d4999c1f4dce692f60df098675b5d.jpg: 1024x1024 1 buss, 3 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 3 pickups, 1 army vehicles, 1 policecars, 1 suvs, 1 three wheelers (CNG)s, 1 vans, Done. (0.189s)\n",
            "image 22/450 /content/yolov5/test/Asraf_73_jpg.rf.1932a047ea1ce9a6d9b7cf6a1893e293.jpg: 1024x1024 3 buss, 3 cars, 1 garbagevans, 2 minivans, 1 motorbikes, 3 pickups, 1 army vehicles, 1 three wheelers (CNG)s, Done. (0.189s)\n",
            "image 23/450 /content/yolov5/test/Asraf_74_jpg.rf.9a1ddb93a8b4e3131a16fa2558c56f6b.jpg: 1024x1024 4 buss, 2 cars, 3 minivans, 2 pickups, 1 army vehicles, 1 three wheelers (CNG)s, 1 vans, Done. (0.189s)\n",
            "image 24/450 /content/yolov5/test/Asraf_75_jpg.rf.a8635624c0a9b978163e9182fca23ba2.jpg: 1024x1024 2 bicycles, 4 buss, 1 cars, 1 human haulers, 2 minivans, 1 pickups, 4 rickshaws, Done. (0.189s)\n",
            "image 25/450 /content/yolov5/test/Asraf_76_jpg.rf.f6d17c1e7604604d4c1cd5709e71e144.jpg: 1024x1024 1 auto rickshaws, 2 bicycles, 2 buss, 1 motorbikes, 2 rickshaws, 1 suvs, Done. (0.187s)\n",
            "image 26/450 /content/yolov5/test/Asraf_77_jpg.rf.838824003b9b0b220c11cf1efc62f90e.jpg: 1024x1024 1 bicycles, 1 buss, 2 minivans, 3 motorbikes, 1 pickups, 3 rickshaws, Done. (0.189s)\n",
            "image 27/450 /content/yolov5/test/Asraf_78_jpg.rf.c2a350c149151b910396bb7eae2f8a2f.jpg: 1024x1024 2 auto rickshaws, 2 bicycles, 4 buss, 2 cars, 1 garbagevans, 4 minivans, 1 motorbikes, 2 pickups, 1 army vehicles, 7 rickshaws, 1 trucks, Done. (0.190s)\n",
            "image 28/450 /content/yolov5/test/Asraf_79_jpg.rf.84f8935649eac7e50bdbd2680e7e234e.jpg: 1024x1024 1 bicycles, 4 buss, 2 cars, 1 minivans, 2 rickshaws, Done. (0.189s)\n",
            "image 29/450 /content/yolov5/test/Asraf_80_jpg.rf.70d5358f6ca9a2f84a9278d01429a820.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 cars, 1 minivans, 1 pickups, 4 rickshaws, 2 three wheelers (CNG)s, Done. (0.191s)\n",
            "image 30/450 /content/yolov5/test/Asraf_81_jpg.rf.cef05cca216ffd33b4cedc65613dfb47.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 2 buss, 2 cars, 3 pickups, 3 three wheelers (CNG)s, Done. (0.190s)\n",
            "image 31/450 /content/yolov5/test/Asraf_82_jpg.rf.f9599bf419d83acdc9a25574c7fa1130.jpg: 1024x1024 2 auto rickshaws, 1 bicycles, 1 buss, 1 minivans, 1 army vehicles, 6 rickshaws, 1 three wheelers (CNG)s, 1 trucks, Done. (0.191s)\n",
            "image 32/450 /content/yolov5/test/Asraf_83_jpg.rf.5d6c8e58a8d53dcd48cdfc3745c4089f.jpg: 1024x1024 1 auto rickshaws, 3 minivans, 1 motorbikes, 2 pickups, 4 rickshaws, 3 three wheelers (CNG)s, Done. (0.190s)\n",
            "image 33/450 /content/yolov5/test/Asraf_84_jpg.rf.ee5dd3a3c9a62e0e68fa7710323e5a02.jpg: 1024x1024 3 buss, 1 cars, 1 minivans, 1 pickups, 4 rickshaws, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 34/450 /content/yolov5/test/Asraf_85_jpg.rf.75015ceafd0b1e56b3e53630afac6558.jpg: 1024x1024 1 buss, 1 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 2 pickups, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.189s)\n",
            "image 35/450 /content/yolov5/test/Asraf_86_jpg.rf.b91e780281bdad9ae19e93b57fe1033b.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 2 buss, 1 cars, 1 motorbikes, 2 pickups, 2 rickshaws, Done. (0.191s)\n",
            "image 36/450 /content/yolov5/test/Asraf_87_jpg.rf.37a661f3670eb0d187483a30d8f657d6.jpg: 1024x1024 Done. (0.190s)\n",
            "image 37/450 /content/yolov5/test/Asraf_88_jpg.rf.8c9a2b3ca2b37658925bd7436f8534f8.jpg: 1024x1024 2 auto rickshaws, 1 bicycles, 2 buss, 1 cars, 4 minivans, 1 motorbikes, 1 pickups, 7 rickshaws, 1 suvs, 1 three wheelers (CNG)s, 1 wheelbarrows, Done. (0.191s)\n",
            "image 38/450 /content/yolov5/test/Asraf_89_jpg.rf.f316befe2c59f9ca14db96239fa5a3e6.jpg: 1024x1024 1 auto rickshaws, 2 minivans, 6 rickshaws, 1 wheelbarrows, Done. (0.190s)\n",
            "image 39/450 /content/yolov5/test/Asraf_90_jpg.rf.ba979de99fc7109abea5d6ba465267fe.jpg: 1024x1024 3 auto rickshaws, 2 minivans, 5 rickshaws, 1 wheelbarrows, Done. (0.190s)\n",
            "image 40/450 /content/yolov5/test/Asraf_91_jpg.rf.b8ccaa8e0c0f7f00035c38ccf6108680.jpg: 1024x1024 1 bicycles, 3 buss, 1 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 3 rickshaws, Done. (0.189s)\n",
            "image 41/450 /content/yolov5/test/Asraf_92_jpg.rf.1caaa0e9acc18d5dc627e7b5a204b8e9.jpg: 1024x1024 2 bicycles, 4 buss, 3 cars, 1 garbagevans, 1 minivans, 2 motorbikes, 1 pickups, 3 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 42/450 /content/yolov5/test/Asraf_93_jpg.rf.b10b20241949f130a7a46b9f7ca6218f.jpg: 1024x1024 3 bicycles, 5 buss, 2 cars, 1 minivans, 1 motorbikes, 1 pickups, 4 rickshaws, 1 three wheelers (CNG)s, Done. (0.190s)\n",
            "image 43/450 /content/yolov5/test/Asraf_94_jpg.rf.0fa179ef9514ac06077a404d3773284e.jpg: 1024x1024 3 auto rickshaws, 1 bicycles, 2 buss, 1 cars, 3 minivans, 3 rickshaws, Done. (0.190s)\n",
            "image 44/450 /content/yolov5/test/Asraf_95_jpg.rf.e27f7467ed641cb9669578169ed89193.jpg: 1024x1024 2 auto rickshaws, 2 bicycles, 2 buss, 1 minivans, 1 pickups, 6 rickshaws, 1 three wheelers (CNG)s, Done. (0.190s)\n",
            "image 45/450 /content/yolov5/test/Asraf_96_jpg.rf.d573a96ee15c35cde3e26ed62058394a.jpg: 1024x1024 4 auto rickshaws, 2 bicycles, 1 buss, 1 minivans, 6 rickshaws, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 46/450 /content/yolov5/test/Asraf_97_jpg.rf.99ed4d371ef0d45df178a79a031f260e.jpg: 1024x1024 1 auto rickshaws, 1 buss, 1 minivans, 1 motorbikes, 1 pickups, 6 rickshaws, 1 three wheelers (CNG)s, Done. (0.189s)\n",
            "image 47/450 /content/yolov5/test/Asraf_98_jpg.rf.c9bc289840dfe975b0da6a98b5311cb1.jpg: 1024x1024 2 minivans, 2 pickups, 1 policecars, 4 rickshaws, Done. (0.192s)\n",
            "image 48/450 /content/yolov5/test/Asraf_99_jpg.rf.ff8ab5fcfcccdd9db703aeb9a57d954f.jpg: 1024x1024 2 bicycles, 2 buss, 1 garbagevans, 1 motorbikes, 1 pickups, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 49/450 /content/yolov5/test/Pias (549)_jpg.rf.42db27c9cb549e6b3590838783b3cf6b.jpg: 1024x1024 1 bicycles, 1 buss, 2 pickups, 1 army vehicles, 2 three wheelers (CNG)s, 1 trucks, Done. (0.189s)\n",
            "image 50/450 /content/yolov5/test/Pias (550)_jpg.rf.6554b9c460a592febfbcd3ef979f53d9.jpg: 1024x1024 2 bicycles, 2 buss, 1 pickups, 2 army vehicles, 3 trucks, Done. (0.191s)\n",
            "image 51/450 /content/yolov5/test/Pias (551)_jpg.rf.874016ab3c01ad95b822b2b8f89e6e87.jpg: 1024x1024 1 buss, 2 pickups, 1 army vehicles, 4 three wheelers (CNG)s, 2 trucks, Done. (0.190s)\n",
            "image 52/450 /content/yolov5/test/Pias (552)_jpg.rf.8afcb308954c75503e3417c83f71fc75.jpg: 1024x1024 1 buss, 1 cars, 1 motorbikes, 1 army vehicles, 4 trucks, Done. (0.189s)\n",
            "image 53/450 /content/yolov5/test/Pias (553)_jpg.rf.fc858106dced245c9260fa74ca3c39cb.jpg: 1024x1024 1 cars, 1 minivans, 2 army vehicles, 3 trucks, 1 vans, Done. (0.190s)\n",
            "image 54/450 /content/yolov5/test/Pias (554)_jpg.rf.a7201a0665fb8e0f193c5f34c1030d78.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.192s)\n",
            "image 55/450 /content/yolov5/test/Pias (555)_jpg.rf.1cf05a8a9e85ecab4fe47cab4565be4a.jpg: 1024x1024 2 army vehicles, 2 trucks, Done. (0.192s)\n",
            "image 56/450 /content/yolov5/test/Pias (556)_jpg.rf.e07d301bca8e2f7bb89dbcba7070e715.jpg: 1024x1024 1 trucks, Done. (0.192s)\n",
            "image 57/450 /content/yolov5/test/Pias (557)_jpg.rf.c26ad2f106c48ce90e41071611f435fd.jpg: 1024x1024 3 trucks, Done. (0.190s)\n",
            "image 58/450 /content/yolov5/test/Pias (558)_jpg.rf.a20873a8d195f1886def2b7ba16e3a66.jpg: 1024x1024 1 pickups, Done. (0.191s)\n",
            "image 59/450 /content/yolov5/test/Pias (559)_jpg.rf.aa2099d958afdaf15197ffe8e0ff8b09.jpg: 1024x1024 1 trucks, Done. (0.190s)\n",
            "image 60/450 /content/yolov5/test/Pias (560)_jpg.rf.58e8751cced7bffc9d7f2be3f22e6739.jpg: 1024x1024 1 buss, Done. (0.192s)\n",
            "image 61/450 /content/yolov5/test/Pias (561)_jpg.rf.cac9abc7fcf2164a43c166707031fc7c.jpg: 1024x1024 1 cars, 1 vans, Done. (0.191s)\n",
            "image 62/450 /content/yolov5/test/Pias (562)_jpg.rf.f007f304c1f912c268f1b9a6e0ec6b11.jpg: 1024x1024 1 bicycles, 1 buss, 1 army vehicles, 3 trucks, Done. (0.192s)\n",
            "image 63/450 /content/yolov5/test/Pias (563)_jpg.rf.66e9350e395b71a00d85c376cfb9dd02.jpg: 1024x1024 1 trucks, Done. (0.190s)\n",
            "image 64/450 /content/yolov5/test/Pias (564)_jpg.rf.9ea323bc0ebf2913f7633938d0c25409.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.193s)\n",
            "image 65/450 /content/yolov5/test/Pias (565)_jpg.rf.19ddcc261a2781bfbab141c8170f4307.jpg: 1024x1024 2 trucks, Done. (0.193s)\n",
            "image 66/450 /content/yolov5/test/Pias (566)_jpg.rf.905994fa51d67ee9c5fbd398a6c72017.jpg: 1024x1024 1 army vehicles, 1 three wheelers (CNG)s, 1 trucks, Done. (0.192s)\n",
            "image 67/450 /content/yolov5/test/Pias (567)_jpg.rf.82b2b8ecca1f1953e2521bad497fc8f1.jpg: 1024x1024 1 trucks, Done. (0.193s)\n",
            "image 68/450 /content/yolov5/test/Pias (568)_jpg.rf.23ad3d864ce9b4d3b88e7c59f8d306ca.jpg: 1024x1024 1 cars, 3 trucks, Done. (0.193s)\n",
            "image 69/450 /content/yolov5/test/Pias (569)_jpg.rf.feb9f98cf5f54d2b2a8b14bbe1257370.jpg: 1024x1024 2 trucks, Done. (0.191s)\n",
            "image 70/450 /content/yolov5/test/Pias (570)_jpg.rf.069d94972ed12d523d9bb74589ead639.jpg: 1024x1024 1 bicycles, 1 buss, 1 army vehicles, 2 trucks, Done. (0.191s)\n",
            "image 71/450 /content/yolov5/test/Pias (571)_jpg.rf.f78fd1f2525de60cb3247db4234bf4a6.jpg: 1024x1024 1 pickups, 1 army vehicles, 1 three wheelers (CNG)s, 2 trucks, Done. (0.192s)\n",
            "image 72/450 /content/yolov5/test/Pias (572)_jpg.rf.0ce299b46ec244a3fabfeaccb606a1e5.jpg: 1024x1024 1 bicycles, 1 buss, 1 pickups, 1 trucks, Done. (0.191s)\n",
            "image 73/450 /content/yolov5/test/Pias (573)_jpg.rf.6acc1f3a3ac9a281e320344582b5b217.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.191s)\n",
            "image 74/450 /content/yolov5/test/Pias (574)_jpg.rf.5cd1a47651074e986c20d049614297d2.jpg: 1024x1024 1 trucks, Done. (0.192s)\n",
            "image 75/450 /content/yolov5/test/Pias (575)_jpg.rf.d049590c1dbbbaa8d208bcaeda728534.jpg: 1024x1024 2 trucks, Done. (0.193s)\n",
            "image 76/450 /content/yolov5/test/Pias (576)_jpg.rf.2afe8a81f66829d514abcc546e2d67fd.jpg: 1024x1024 1 bicycles, 1 buss, 4 minivans, 2 pickups, 1 policecars, 4 rickshaws, 1 suvs, 3 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 77/450 /content/yolov5/test/Pias (577)_jpg.rf.907a4834f61ec1437d8fdb149faafa87.jpg: 1024x1024 1 cars, 1 minivans, 2 motorbikes, 1 pickups, 1 policecars, 1 rickshaws, 2 suvs, 2 three wheelers (CNG)s, Done. (0.194s)\n",
            "image 78/450 /content/yolov5/test/Pias (578)_jpg.rf.e3db0e9e775eb7118cfaca9ed1032b59.jpg: 1024x1024 1 buss, 1 cars, 6 minivans, 2 pickups, 1 policecars, 7 rickshaws, 1 suvs, 2 three wheelers (CNG)s, 1 vans, Done. (0.193s)\n",
            "image 79/450 /content/yolov5/test/Pias (579)_jpg.rf.b4719beee9100ecc68826e7d9d2b28be.jpg: 1024x1024 1 bicycles, 1 cars, 4 minivans, 2 pickups, 5 rickshaws, 2 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 80/450 /content/yolov5/test/Pias (580)_jpg.rf.18b37902fd9127059e06bd713b3fe441.jpg: 1024x1024 5 minivans, 2 pickups, 5 rickshaws, 2 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 81/450 /content/yolov5/test/Pias (581)_jpg.rf.c6dd15178885b22161c006edcf520596.jpg: 1024x1024 1 auto rickshaws, 7 minivans, 2 pickups, 8 rickshaws, 2 three wheelers (CNG)s, Done. (0.193s)\n",
            "image 82/450 /content/yolov5/test/Pias (582)_jpg.rf.b8f29699fc714eb9ae82532db8354f55.jpg: 1024x1024 2 minivans, 1 motorbikes, 1 pickups, 1 army vehicles, 1 policecars, 1 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 83/450 /content/yolov5/test/Pias (583)_jpg.rf.ee9447ac1466e8907fcfea91af54602e.jpg: 1024x1024 1 auto rickshaws, 2 bicycles, 1 buss, 3 minivans, 4 rickshaws, Done. (0.193s)\n",
            "image 84/450 /content/yolov5/test/Pias (584)_jpg.rf.8fc7762a4237e814c91492ef98a87812.jpg: 1024x1024 3 minivans, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.193s)\n",
            "image 85/450 /content/yolov5/test/Pias (585)_jpg.rf.6c31ce5b0e8705345c58208f5c72e9d8.jpg: 1024x1024 1 minivans, 1 policecars, 3 rickshaws, 1 three wheelers (CNG)s, 1 vans, Done. (0.193s)\n",
            "image 86/450 /content/yolov5/test/Pias (586)_jpg.rf.2a031205d27df00adaf5e76a560644c2.jpg: 1024x1024 1 buss, 2 cars, 4 minivans, 4 rickshaws, 1 three wheelers (CNG)s, Done. (0.193s)\n",
            "image 87/450 /content/yolov5/test/Pias (587)_jpg.rf.f9c498eec94c508df0ff6a8ba055e6e0.jpg: 1024x1024 2 minivans, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.195s)\n",
            "image 88/450 /content/yolov5/test/Pias (588)_jpg.rf.844900e2e6375d44a2e509dbbbc3572e.jpg: 1024x1024 1 cars, 1 minivans, 2 rickshaws, Done. (0.195s)\n",
            "image 89/450 /content/yolov5/test/Pias (589)_jpg.rf.714a97db64f7cc236f925686f3a73620.jpg: 1024x1024 1 auto rickshaws, 4 minivans, 1 motorbikes, 4 rickshaws, 1 suvs, Done. (0.195s)\n",
            "image 90/450 /content/yolov5/test/Pias (590)_jpg.rf.52436447cff2eda0d84005448ec22366.jpg: 1024x1024 2 auto rickshaws, 1 cars, 4 minivans, 2 motorbikes, 4 rickshaws, Done. (0.191s)\n",
            "image 91/450 /content/yolov5/test/Pias (591)_jpg.rf.4629a9cda2c035261e35b648c9b6d63e.jpg: 1024x1024 1 cars, 4 minivans, 5 rickshaws, 1 suvs, 1 vans, Done. (0.195s)\n",
            "image 92/450 /content/yolov5/test/Pias (592)_jpg.rf.7def757e0caf84fa094e776909f2f4a8.jpg: 1024x1024 1 bicycles, 1 cars, 2 minivans, 3 rickshaws, Done. (0.193s)\n",
            "image 93/450 /content/yolov5/test/Pias (593)_jpg.rf.e63fb7b25e6283fff56444f5a73d590f.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 cars, 1 garbagevans, 6 minivans, 1 motorbikes, 1 policecars, 6 rickshaws, 1 suvs, Done. (0.194s)\n",
            "image 94/450 /content/yolov5/test/Pias (594)_jpg.rf.8a45baa27fd85ff0738fa38499611c68.jpg: 1024x1024 2 minivans, 1 pickups, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.193s)\n",
            "image 95/450 /content/yolov5/test/Pias (595)_jpg.rf.d6e43bbd5b4027db08e4f5bfcc3d6eab.jpg: 1024x1024 2 minivans, 2 rickshaws, Done. (0.193s)\n",
            "image 96/450 /content/yolov5/test/Pias (596)_jpg.rf.36fa37f682560434073d8c8679c65112.jpg: 1024x1024 3 bicycles, 21 buss, 4 cars, 3 garbagevans, 4 minivans, 5 motorbikes, 2 pickups, 11 rickshaws, 3 suvs, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 97/450 /content/yolov5/test/Pias (597)_jpg.rf.1792e62bae9d3bb1ea8eab79380ed186.jpg: 1024x1024 1 auto rickshaws, 3 bicycles, 16 buss, 5 cars, 2 minivans, 4 motorbikes, 3 pickups, 8 rickshaws, 2 suvs, 1 three wheelers (CNG)s, 1 vans, Done. (0.195s)\n",
            "image 98/450 /content/yolov5/test/Pias (598)_jpg.rf.807e4f2fb72a87eab783f794b82c6d43.jpg: 1024x1024 2 bicycles, 17 buss, 7 cars, 4 minivans, 2 motorbikes, 4 pickups, 8 rickshaws, 2 suvs, 1 three wheelers (CNG)s, 2 vans, Done. (0.193s)\n",
            "image 99/450 /content/yolov5/test/Pias (599)_jpg.rf.7a94488fd95721592882ee9130de9013.jpg: 1024x1024 2 bicycles, 17 buss, 6 cars, 2 minivans, 4 motorbikes, 2 pickups, 7 rickshaws, 4 suvs, 1 three wheelers (CNG)s, Done. (0.192s)\n",
            "image 100/450 /content/yolov5/test/Pias (600)_jpg.rf.895c98d6d56cf56cddb653b02f720bdf.jpg: 1024x1024 4 bicycles, 16 buss, 7 cars, 1 garbagevans, 4 minivans, 5 motorbikes, 2 pickups, 8 rickshaws, 5 suvs, 1 three wheelers (CNG)s, Done. (0.194s)\n",
            "image 101/450 /content/yolov5/test/Pias (601)_jpg.rf.6f5ec4a0b7666e77235190e10e0a1eff.jpg: 1024x1024 1 bicycles, 18 buss, 3 cars, 3 minivans, 2 motorbikes, 3 pickups, 10 rickshaws, 3 suvs, Done. (0.195s)\n",
            "image 102/450 /content/yolov5/test/Pias (602)_jpg.rf.e1e5306c27f05256322d161125e8c394.jpg: 1024x1024 3 bicycles, 16 buss, 3 cars, 4 minivans, 1 motorbikes, 5 pickups, 4 rickshaws, 1 suvs, 2 three wheelers (CNG)s, Done. (0.194s)\n",
            "image 103/450 /content/yolov5/test/Pias (603)_jpg.rf.67686941a89fc127f0184443318fbb54.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, Done. (0.193s)\n",
            "image 104/450 /content/yolov5/test/Pias (604)_jpg.rf.10eddcbeba2fa2bcb0b550d98218fdd5.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, Done. (0.195s)\n",
            "image 105/450 /content/yolov5/test/Pias (605)_jpg.rf.2cdd41ed8b024bde860f346ca2ee6912.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 motorbikes, 1 suvs, Done. (0.199s)\n",
            "image 106/450 /content/yolov5/test/Pias (606)_jpg.rf.63db2bb1dbd0eddd38a14b16dcd5d44f.jpg: 1024x1024 3 bicycles, 4 buss, 1 cars, 1 policecars, 1 trucks, Done. (0.195s)\n",
            "image 107/450 /content/yolov5/test/Pias (607)_jpg.rf.7a8ea4e42600d8eb4ea8942095a9eb59.jpg: 1024x1024 1 buss, 1 cars, 1 army vehicles, 1 trucks, Done. (0.196s)\n",
            "image 108/450 /content/yolov5/test/Pias (608)_jpg.rf.a60ab2be18e870c9ae8e0df9f3a164de.jpg: 1024x1024 1 bicycles, 1 buss, 1 minibuss, 1 trucks, Done. (0.193s)\n",
            "image 109/450 /content/yolov5/test/Pias (609)_jpg.rf.945c87a4d89a8a9c67e2d8cd002d3cde.jpg: 1024x1024 2 bicycles, 2 buss, 2 pickups, 1 army vehicles, 2 trucks, Done. (0.196s)\n",
            "image 110/450 /content/yolov5/test/Pias (610)_jpg.rf.bb312d8ad2af73fb134e37621f4080c7.jpg: 1024x1024 2 bicycles, 2 buss, 2 pickups, 1 army vehicles, 1 trucks, Done. (0.195s)\n",
            "image 111/450 /content/yolov5/test/Pias (611)_jpg.rf.247b2216540f81f8b0e461833cb9bb3a.jpg: 1024x1024 1 bicycles, 1 buss, 2 pickups, 1 army vehicles, Done. (0.193s)\n",
            "image 112/450 /content/yolov5/test/Pias (612)_jpg.rf.ef17bedd94065c37420690238f6e835a.jpg: 1024x1024 1 bicycles, 1 buss, 2 pickups, 1 army vehicles, 1 trucks, Done. (0.193s)\n",
            "image 113/450 /content/yolov5/test/Pias (613)_jpg.rf.7322a1e5c52ec89fe8dc8fbcea302892.jpg: 1024x1024 2 pickups, 1 army vehicles, 1 trucks, Done. (0.194s)\n",
            "image 114/450 /content/yolov5/test/Pias (614)_jpg.rf.d74e2d939fb9d8e98ad9316ae1c15f3e.jpg: 1024x1024 2 pickups, 1 trucks, Done. (0.194s)\n",
            "image 115/450 /content/yolov5/test/Pias (615)_jpg.rf.57e0e1f9de43cf631980c942f588f10d.jpg: 1024x1024 1 bicycles, 1 pickups, 1 policecars, 2 trucks, Done. (0.193s)\n",
            "image 116/450 /content/yolov5/test/Pias (616)_jpg.rf.d64c017f70a7c51ca8bfc80c65aed2c9.jpg: 1024x1024 2 trucks, Done. (0.196s)\n",
            "image 117/450 /content/yolov5/test/Pias (617)_jpg.rf.f76b4b3fe2068daf4acfabc868374589.jpg: 1024x1024 1 bicycles, 1 buss, 1 minibuss, 2 trucks, Done. (0.194s)\n",
            "image 118/450 /content/yolov5/test/Pias (618)_jpg.rf.ed3fac9e4b20cb269d509e985ba6bb37.jpg: 1024x1024 1 buss, 1 minibuss, 1 pickups, 1 trucks, 1 vans, Done. (0.194s)\n",
            "image 119/450 /content/yolov5/test/Pias (619)_jpg.rf.103337076f22832073f72b497b3c38da.jpg: 1024x1024 1 trucks, Done. (0.197s)\n",
            "image 120/450 /content/yolov5/test/Pias (620)_jpg.rf.15ce1b05b550c212c764bfcddb914452.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.195s)\n",
            "image 121/450 /content/yolov5/test/Pias (621)_jpg.rf.830a7e2efca7baa7417ff5b65c5062c2.jpg: 1024x1024 1 buss, 1 trucks, Done. (0.197s)\n",
            "image 122/450 /content/yolov5/test/Pias (622)_jpg.rf.d96317098e83b22a847525cc4a078c6f.jpg: 1024x1024 1 trucks, Done. (0.194s)\n",
            "image 123/450 /content/yolov5/test/Pias (623)_jpg.rf.c06b7627d7d01032740ec2ae02e65a80.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.195s)\n",
            "image 124/450 /content/yolov5/test/Pias (624)_jpg.rf.7859600c5fadd57e2ca0207e7584ca0f.jpg: 1024x1024 1 bicycles, 3 buss, 1 cars, Done. (0.196s)\n",
            "image 125/450 /content/yolov5/test/Pias (625)_jpg.rf.ab1f7f67afc2843618e4d9f32417625b.jpg: 1024x1024 Done. (0.196s)\n",
            "image 126/450 /content/yolov5/test/Pias (626)_jpg.rf.1e5e2b132bf9c5d66a0438f78b99b505.jpg: 1024x1024 Done. (0.196s)\n",
            "image 127/450 /content/yolov5/test/Pias (627)_jpg.rf.80d9c32a76dec75412a4ac412fd7c7cc.jpg: 1024x1024 1 minibuss, 1 trucks, Done. (0.195s)\n",
            "image 128/450 /content/yolov5/test/Pias (628)_jpg.rf.359413f6e84c96b87342121446bcca34.jpg: 1024x1024 1 pickups, 1 policecars, 2 trucks, Done. (0.195s)\n",
            "image 129/450 /content/yolov5/test/Pias (629)_jpg.rf.4c970140a6e1840b0ab61d1fdb81c744.jpg: 1024x1024 1 cars, 1 minivans, 1 motorbikes, 2 trucks, Done. (0.195s)\n",
            "image 130/450 /content/yolov5/test/Pias (630)_jpg.rf.dc9144b26395992d1d31338ae9cbd2d6.jpg: 1024x1024 1 buss, 1 cars, 1 motorbikes, 1 trucks, Done. (0.197s)\n",
            "image 131/450 /content/yolov5/test/Pias (631)_jpg.rf.b382675e81ef694870f913a92f24e7b6.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 1 policecars, Done. (0.194s)\n",
            "image 132/450 /content/yolov5/test/Pias (632)_jpg.rf.7746de602f35106b2566dc08af0d646c.jpg: 1024x1024 Done. (0.198s)\n",
            "image 133/450 /content/yolov5/test/Pias (633)_jpg.rf.228334f830575f9555d932115c9f37a7.jpg: 1024x1024 Done. (0.196s)\n",
            "image 134/450 /content/yolov5/test/Pias (634)_jpg.rf.e46e2b00adcf6e4124d9645c6b9e0b35.jpg: 1024x1024 1 buss, 1 cars, 1 motorbikes, 1 vans, Done. (0.196s)\n",
            "image 135/450 /content/yolov5/test/Pias (635)_jpg.rf.1606b613c82d6d45db55e1a3f6aa38e2.jpg: 1024x1024 2 buss, 2 cars, 1 suvs, Done. (0.197s)\n",
            "image 136/450 /content/yolov5/test/Pias (636)_jpg.rf.7a0fe285c00bb1e78d3a6011de737bf9.jpg: 1024x1024 1 motorbikes, 1 suvs, Done. (0.195s)\n",
            "image 137/450 /content/yolov5/test/Pias (637)_jpg.rf.a574bada67f4d3225e83d26bd4b18317.jpg: 1024x1024 1 minivans, 1 policecars, 1 suvs, Done. (0.198s)\n",
            "image 138/450 /content/yolov5/test/Pias (638)_jpg.rf.6ff18e2e8186267c74c1f06abf967753.jpg: 1024x1024 1 cars, 1 policecars, 1 suvs, 1 trucks, Done. (0.196s)\n",
            "image 139/450 /content/yolov5/test/Pias (639)_jpg.rf.af4257860ac7d6f1da3aa0f1557c3bcc.jpg: 1024x1024 1 bicycles, 1 buss, 1 minibuss, 1 minivans, 1 pickups, 1 policecars, Done. (0.195s)\n",
            "image 140/450 /content/yolov5/test/Pias (640)_jpg.rf.bf4c795da33198e104c7a6ba03ed2d99.jpg: 1024x1024 1 buss, 1 minivans, 1 policecars, 1 suvs, Done. (0.197s)\n",
            "image 141/450 /content/yolov5/test/Pias (641)_jpg.rf.976c82c6f7b948d273862a6e54e77986.jpg: 1024x1024 1 buss, 2 minivans, 1 trucks, 1 vans, Done. (0.198s)\n",
            "image 142/450 /content/yolov5/test/Pias (642)_jpg.rf.e3e57db27719818c067824896ce3f58b.jpg: 1024x1024 2 minivans, 1 trucks, 1 vans, Done. (0.196s)\n",
            "image 143/450 /content/yolov5/test/Pias (643)_jpg.rf.29b1787807b22625a32d9e3c2cda055b.jpg: 1024x1024 1 buss, 2 minivans, 1 trucks, 1 vans, Done. (0.197s)\n",
            "image 144/450 /content/yolov5/test/Pias (644)_jpg.rf.1f6e386adb09d4c8f0c34dd6cfcd3528.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 pickups, 1 army vehicles, 1 trucks, Done. (0.196s)\n",
            "image 145/450 /content/yolov5/test/Pias (645)_jpg.rf.88439bf7542f32e2284bd37df4ac00ca.jpg: 1024x1024 1 buss, 1 cars, 2 minivans, 1 army vehicles, 1 trucks, Done. (0.196s)\n",
            "image 146/450 /content/yolov5/test/Pias (646)_jpg.rf.4b7fb543b00b7acbca2202ae1a683319.jpg: 1024x1024 1 buss, 1 cars, 2 minivans, 1 army vehicles, 1 trucks, Done. (0.196s)\n",
            "image 147/450 /content/yolov5/test/Pias (647)_jpg.rf.f4421ec1c8eeedc310bf98257e6e2609.jpg: 1024x1024 1 buss, 1 minivans, 1 trucks, Done. (0.195s)\n",
            "image 148/450 /content/yolov5/test/Pias (648)_jpg.rf.b187c9af36712c832b1b7142f1ceb0af.jpg: 1024x1024 Done. (0.196s)\n",
            "image 149/450 /content/yolov5/test/Pias (649)_jpg.rf.fdc39e00bf25f42cb314d26dd1501ba6.jpg: 1024x1024 Done. (0.199s)\n",
            "image 150/450 /content/yolov5/test/Pias (650)_jpg.rf.e5ccb4107009c20b7a6c894a343c2ef8.jpg: 1024x1024 Done. (0.197s)\n",
            "image 151/450 /content/yolov5/test/Pias (651)_jpg.rf.9f74c3b51767ab3e3b834191fa30fa9e.jpg: 1024x1024 1 buss, 1 suvs, 1 trucks, Done. (0.197s)\n",
            "image 152/450 /content/yolov5/test/Pias (652)_jpg.rf.59302871c12a17e6328f2c0eca062e45.jpg: 1024x1024 Done. (0.196s)\n",
            "image 153/450 /content/yolov5/test/Pias (653)_jpg.rf.dfa42cc9725480c6d524b58d21318686.jpg: 1024x1024 1 minivans, 1 motorbikes, 1 suvs, 2 trucks, 1 vans, Done. (0.197s)\n",
            "image 154/450 /content/yolov5/test/Pias (654)_jpg.rf.c4085f80801c8238321b8ab28bbd1369.jpg: 1024x1024 1 human haulers, 1 minivans, 1 policecars, 1 suvs, 1 trucks, Done. (0.197s)\n",
            "image 155/450 /content/yolov5/test/Pias (655)_jpg.rf.f12764865313028758e2d29f212094f1.jpg: 1024x1024 1 minivans, 1 motorbikes, 1 suvs, 1 trucks, Done. (0.197s)\n",
            "image 156/450 /content/yolov5/test/Pias (656)_jpg.rf.78415132c336219202f94e4c031d0bc9.jpg: 1024x1024 1 buss, 1 minivans, 1 army vehicles, 2 trucks, Done. (0.199s)\n",
            "image 157/450 /content/yolov5/test/Pias (657)_jpg.rf.6061346fb9e7e72f9d2f453fe95eb359.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 minivans, 1 policecars, 1 trucks, Done. (0.198s)\n",
            "image 158/450 /content/yolov5/test/Pias (658)_jpg.rf.5b9db899535ca0982a12847a8fa9673e.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 army vehicles, 1 policecars, 2 trucks, Done. (0.197s)\n",
            "image 159/450 /content/yolov5/test/Pias (659)_jpg.rf.051c7d9118b7e8ef050ed1a4e35d57e2.jpg: 1024x1024 1 cars, 2 minivans, 1 motorbikes, 1 army vehicles, 1 policecars, 2 trucks, 1 vans, Done. (0.198s)\n",
            "image 160/450 /content/yolov5/test/Pias (660)_jpg.rf.faffda63dff98aac073462f96990b05d.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 army vehicles, 1 trucks, Done. (0.200s)\n",
            "image 161/450 /content/yolov5/test/Pias (661)_jpg.rf.15c7b4fd3a67259292274cdeb67ddfcd.jpg: 1024x1024 2 buss, 1 cars, 1 minivans, 1 army vehicles, 1 trucks, Done. (0.198s)\n",
            "image 162/450 /content/yolov5/test/Pias (662)_jpg.rf.05326349f9e338dc06ee9f87fbe92a15.jpg: 1024x1024 1 buss, 1 cars, 2 trucks, Done. (0.198s)\n",
            "image 163/450 /content/yolov5/test/Pias (663)_jpg.rf.c6b7f7a74051933908977c9a538dd6de.jpg: 1024x1024 1 bicycles, 1 buss, 2 minivans, Done. (0.199s)\n",
            "image 164/450 /content/yolov5/test/Pias (664)_jpg.rf.5052db714eeef4745caf41bd04c09559.jpg: 1024x1024 1 bicycles, 2 buss, 1 minibuss, 1 minivans, 3 pickups, 1 policecars, 1 suvs, Done. (0.199s)\n",
            "image 165/450 /content/yolov5/test/Pias (665)_jpg.rf.2484f2ccb8f36beb5dff3917920a9ff7.jpg: 1024x1024 1 buss, 1 minivans, 1 trucks, Done. (0.197s)\n",
            "image 166/450 /content/yolov5/test/Pias (666)_jpg.rf.a76476af257e8c92a2c976e75328bae5.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 policecars, Done. (0.200s)\n",
            "image 167/450 /content/yolov5/test/Pias (667)_jpg.rf.563007295c6bb772279daeefc374435a.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 minivans, 1 policecars, 1 rickshaws, 1 vans, Done. (0.197s)\n",
            "image 168/450 /content/yolov5/test/Pias (668)_jpg.rf.be108674d0d4c75c4802ed2b234b3f2f.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 minivans, 1 motorbikes, 2 policecars, Done. (0.199s)\n",
            "image 169/450 /content/yolov5/test/Pias (669)_jpg.rf.30e8ac82e7e17f85b0d4d1f407c9ee2c.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 minivans, 2 policecars, 1 vans, Done. (0.198s)\n",
            "image 170/450 /content/yolov5/test/Pias (670)_jpg.rf.32eefdcf41d8c904e5f1dcf33bc5de11.jpg: 1024x1024 1 buss, 1 cars, 2 minivans, 1 army vehicles, 1 policecars, 1 trucks, 1 vans, Done. (0.199s)\n",
            "image 171/450 /content/yolov5/test/Pias (671)_jpg.rf.47b55b8056a47153e7bf981e3de07374.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 minivans, 1 army vehicles, 1 policecars, 1 trucks, 1 vans, Done. (0.198s)\n",
            "image 172/450 /content/yolov5/test/Pias (672)_jpg.rf.39b6f37d2d3144cfdeb68064e53cb6d2.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 pickups, 1 army vehicles, 3 trucks, Done. (0.199s)\n",
            "image 173/450 /content/yolov5/test/Pias (673)_jpg.rf.4741b1ece8c4a57b48fa476a70e9273b.jpg: 1024x1024 1 buss, 1 minivans, 2 pickups, 2 army vehicles, 1 policecars, 2 trucks, Done. (0.198s)\n",
            "image 174/450 /content/yolov5/test/Pias (674)_jpg.rf.caecc84ae884bc9d8e4215628d2d4e74.jpg: 1024x1024 1 buss, 1 cars, 1 pickups, 2 army vehicles, 1 trucks, Done. (0.197s)\n",
            "image 175/450 /content/yolov5/test/Pias (675)_jpg.rf.b6cc6809692a0c1f53808c5747211784.jpg: 1024x1024 1 bicycles, 2 buss, 1 minivans, 1 pickups, 1 policecars, 1 vans, Done. (0.198s)\n",
            "image 176/450 /content/yolov5/test/Pias (676)_jpg.rf.7c3522d6220043a31f774860b7a5540a.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 motorbikes, 1 three wheelers (CNG)s, 1 trucks, 1 vans, Done. (0.199s)\n",
            "image 177/450 /content/yolov5/test/Pias (677)_jpg.rf.d27ae276174b37dbd19fd07d0cdf9d65.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 2 buss, 1 cars, 2 human haulers, 1 minivans, 3 pickups, 1 policecars, 3 three wheelers (CNG)s, Done. (0.199s)\n",
            "image 178/450 /content/yolov5/test/Pias (678)_jpg.rf.8ea98379920340458fd82483505ebb65.jpg: 1024x1024 2 bicycles, 4 buss, 1 cars, 1 policecars, 1 suvs, 1 trucks, Done. (0.200s)\n",
            "image 179/450 /content/yolov5/test/Pias (679)_jpg.rf.baa1889c73c69399a3801a6306444a2a.jpg: 1024x1024 2 bicycles, 2 buss, 1 human haulers, 1 minivans, 1 army vehicles, 2 policecars, 1 trucks, 1 vans, Done. (0.198s)\n",
            "image 180/450 /content/yolov5/test/Pias (680)_jpg.rf.ea6544b8f5ee0a0b97cdc3e920b041df.jpg: 1024x1024 1 bicycles, 3 buss, 1 army vehicles, 2 policecars, 1 trucks, 2 vans, Done. (0.198s)\n",
            "image 181/450 /content/yolov5/test/Pias (681)_jpg.rf.ba95d87a10f0326908c0c110d7477c99.jpg: 1024x1024 1 buss, 1 pickups, 1 policecars, 1 vans, Done. (0.199s)\n",
            "image 182/450 /content/yolov5/test/Pias (682)_jpg.rf.6b21afe1e8c1e4b6f8930c690b2d10f2.jpg: 1024x1024 1 bicycles, 1 buss, 1 motorbikes, 1 suvs, Done. (0.199s)\n",
            "image 183/450 /content/yolov5/test/Pias (683)_jpg.rf.3d01ad452b991260a28fb7c6494961b4.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 1 pickups, 1 policecars, 1 rickshaws, 1 suvs, Done. (0.200s)\n",
            "image 184/450 /content/yolov5/test/Pias (684)_jpg.rf.57d73811dc775cd9c37f797570e2e932.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 2 pickups, 2 policecars, 1 vans, Done. (0.200s)\n",
            "image 185/450 /content/yolov5/test/Pias (685)_jpg.rf.06fc29920de2c55a596b5e186a79b8db.jpg: 1024x1024 2 bicycles, 3 buss, 1 cars, 1 minivans, 2 pickups, 1 policecars, Done. (0.199s)\n",
            "image 186/450 /content/yolov5/test/Pias (686)_jpg.rf.56b44f56de6f4a9ad5db094958d8145f.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 suvs, Done. (0.199s)\n",
            "image 187/450 /content/yolov5/test/Pias (687)_jpg.rf.d7fcf14eadc1a6bcf190ca8514ef1620.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 1 policecars, 1 vans, Done. (0.199s)\n",
            "image 188/450 /content/yolov5/test/Pias (688)_jpg.rf.68d6fa64067ca74594b93da3d5d9215c.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, 1 minivans, 1 pickups, 1 army vehicles, 1 policecars, 2 vans, Done. (0.201s)\n",
            "image 189/450 /content/yolov5/test/Pias (689)_jpg.rf.f5549911962a814289feed007f4d4890.jpg: 1024x1024 1 bicycles, 3 buss, 1 cars, 1 minivans, 1 pickups, 1 army vehicles, 1 trucks, Done. (0.200s)\n",
            "image 190/450 /content/yolov5/test/Pias (690)_jpg.rf.bbcd100e1e32bf9685eb5c2c47db74c7.jpg: 1024x1024 5 buss, 4 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 1 suvs, Done. (0.199s)\n",
            "image 191/450 /content/yolov5/test/Pias (691)_jpg.rf.e2ebf947699cb1079f977ae6d94ea73a.jpg: 1024x1024 3 buss, 3 cars, 1 garbagevans, 1 minivans, 2 motorbikes, 1 suvs, Done. (0.199s)\n",
            "image 192/450 /content/yolov5/test/Pias (692)_jpg.rf.6b2dab77b93e2a5cbf006e6c3b6cf632.jpg: 1024x1024 3 buss, 1 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 1 pickups, 1 suvs, Done. (0.199s)\n",
            "image 193/450 /content/yolov5/test/Pias (693)_jpg.rf.f24827a7ca7811d01dc68a3431ee0462.jpg: 1024x1024 1 buss, 2 cars, 1 garbagevans, 2 minivans, 2 motorbikes, 2 pickups, 1 army vehicles, Done. (0.200s)\n",
            "image 194/450 /content/yolov5/test/Pias (694)_jpg.rf.72c8a8c5945037e23a5f8f188f9e22ce.jpg: 1024x1024 1 bicycles, 4 buss, 4 cars, 2 garbagevans, 1 minivans, 1 motorbikes, 1 pickups, 1 army vehicles, Done. (0.201s)\n",
            "image 195/450 /content/yolov5/test/Pias (695)_jpg.rf.83ad457c9ba2ceed4d35177e0fd4b20d.jpg: 1024x1024 2 buss, 1 cars, 1 garbagevans, 3 minivans, 1 motorbikes, 1 pickups, 1 army vehicles, 1 suvs, Done. (0.201s)\n",
            "image 196/450 /content/yolov5/test/Pias (696)_jpg.rf.fc9eda05957c5bdf75341662f68c30c1.jpg: 1024x1024 2 minivans, 1 motorbikes, 2 policecars, Done. (0.200s)\n",
            "image 197/450 /content/yolov5/test/Pias (697)_jpg.rf.e3892c091971408c3f5bf4002f3fcacf.jpg: 1024x1024 1 buss, 1 cars, 2 minivans, 1 pickups, 1 army vehicles, 1 policecars, Done. (0.200s)\n",
            "image 198/450 /content/yolov5/test/Pias (698)_jpg.rf.72d5f6c1107f6d48b7e5d650cd162f34.jpg: 1024x1024 1 buss, 1 cars, 2 minivans, 1 pickups, 1 policecars, 1 suvs, 1 three wheelers (CNG)s, Done. (0.199s)\n",
            "image 199/450 /content/yolov5/test/Pias (699)_jpg.rf.e2bd11266bcb7e8d2bb15e8ccc600712.jpg: 1024x1024 1 buss, 1 cars, 2 minivans, 1 motorbikes, Done. (0.203s)\n",
            "image 200/450 /content/yolov5/test/Pias (700)_jpg.rf.1bcedc112d1897578c76eb9c13a072bb.jpg: 1024x1024 1 buss, 2 garbagevans, 2 minivans, 2 motorbikes, Done. (0.198s)\n",
            "image 201/450 /content/yolov5/test/Pias (701)_jpg.rf.2a2504537e5b0d6f82ee212884c2ad21.jpg: 1024x1024 1 buss, 2 minivans, 1 motorbikes, 1 vans, Done. (0.200s)\n",
            "image 202/450 /content/yolov5/test/Pias (702)_jpg.rf.b28ec0ccb39ed41decd8872dc6fe86cc.jpg: 1024x1024 2 buss, 1 garbagevans, 2 minivans, 1 motorbikes, Done. (0.199s)\n",
            "image 203/450 /content/yolov5/test/Pias (703)_jpg.rf.24edff2883a8697e234dda5edf118526.jpg: 1024x1024 1 buss, 2 minivans, 1 motorbikes, Done. (0.200s)\n",
            "image 204/450 /content/yolov5/test/Pias (704)_jpg.rf.b67214f962ae6f28a67e72a10b900d98.jpg: 1024x1024 1 buss, 2 minivans, 1 motorbikes, Done. (0.202s)\n",
            "image 205/450 /content/yolov5/test/Pias (705)_jpg.rf.12249327d249d1ece3e4502b661a5192.jpg: 1024x1024 1 buss, 1 garbagevans, 2 minivans, 1 motorbikes, Done. (0.202s)\n",
            "image 206/450 /content/yolov5/test/Pias (706)_jpg.rf.991df622641a80d94886421b283534b9.jpg: 1024x1024 1 buss, 2 minivans, 2 motorbikes, 1 pickups, 1 army vehicles, 1 policecars, Done. (0.202s)\n",
            "image 207/450 /content/yolov5/test/Pias (707)_jpg.rf.9f66766c4041fce0e005c1476512ac10.jpg: 1024x1024 1 buss, 3 minivans, 1 motorbikes, Done. (0.199s)\n",
            "image 208/450 /content/yolov5/test/Pias (708)_jpg.rf.e38388a623bdb0bfa6527eee548d5f0f.jpg: 1024x1024 2 buss, 2 minivans, 1 motorbikes, Done. (0.202s)\n",
            "image 209/450 /content/yolov5/test/Pias (709)_jpg.rf.a38215360d913c8d77f21f17cca7dbe2.jpg: 1024x1024 3 buss, 2 cars, 2 minivans, Done. (0.200s)\n",
            "image 210/450 /content/yolov5/test/Pias (710)_jpg.rf.85f5c58d78fb5871edf6c01ff3809cba.jpg: 1024x1024 2 auto rickshaws, 1 buss, 2 cars, 1 motorbikes, 1 pickups, 4 rickshaws, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 211/450 /content/yolov5/test/Pias (711)_jpg.rf.6dbbc258dd593fd8bf94a0da80a27bf4.jpg: 1024x1024 1 cars, 2 minivans, 3 rickshaws, Done. (0.200s)\n",
            "image 212/450 /content/yolov5/test/Pias (712)_jpg.rf.487dd882382f4d9c89a8734aab69f763.jpg: 1024x1024 2 buss, 1 cars, 1 rickshaws, 1 suvs, Done. (0.200s)\n",
            "image 213/450 /content/yolov5/test/Pias (713)_jpg.rf.756c270f8777d8e234b418e15a22f4e9.jpg: 1024x1024 1 buss, 2 cars, 1 suvs, Done. (0.202s)\n",
            "image 214/450 /content/yolov5/test/Pias (714)_jpg.rf.04721750885a642887d6302bcc5edc10.jpg: 1024x1024 1 buss, 1 cars, 3 minivans, 1 motorbikes, 4 rickshaws, 1 suvs, Done. (0.201s)\n",
            "image 215/450 /content/yolov5/test/Pias (715)_jpg.rf.8de0fc59c5fa512b98e9da3ec61e8285.jpg: 1024x1024 2 buss, 3 cars, 3 minivans, 1 motorbikes, 5 rickshaws, 2 suvs, Done. (0.200s)\n",
            "image 216/450 /content/yolov5/test/Pias (716)_jpg.rf.108c5e8772d4e45c473f344f123846a4.jpg: 1024x1024 2 buss, 5 cars, 4 minivans, 1 motorbikes, 6 rickshaws, 1 suvs, Done. (0.200s)\n",
            "image 217/450 /content/yolov5/test/Pias (717)_jpg.rf.63426fb3b1d4480b22e92594a7d3a7a0.jpg: 1024x1024 2 buss, 4 cars, 4 minivans, 1 motorbikes, 5 rickshaws, 2 suvs, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 218/450 /content/yolov5/test/Pias (718)_jpg.rf.c56f654f2682cf227d6cceb733d186de.jpg: 1024x1024 2 buss, 3 cars, 3 minivans, 1 pickups, 4 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.200s)\n",
            "image 219/450 /content/yolov5/test/Pias (719)_jpg.rf.d6ffc7663cd336cdfa0acfeb6639378d.jpg: 1024x1024 3 buss, 4 cars, 2 minivans, 1 motorbikes, 5 rickshaws, 1 suvs, 2 three wheelers (CNG)s, Done. (0.200s)\n",
            "image 220/450 /content/yolov5/test/Pias (720)_jpg.rf.66d6f66750f5a7f62a08e51dd1549d4f.jpg: 1024x1024 1 bicycles, 3 buss, 2 cars, 2 minivans, 6 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.201s)\n",
            "image 221/450 /content/yolov5/test/Pias (721)_jpg.rf.f1c70b9ca76c13d22e1ffd1e12a76758.jpg: 1024x1024 1 buss, 2 cars, 3 minivans, 8 rickshaws, 1 suvs, Done. (0.203s)\n",
            "image 222/450 /content/yolov5/test/Pias (722)_jpg.rf.85bbccb080a60f823a54d67f2a0dbad2.jpg: 1024x1024 2 buss, 3 cars, 2 minivans, 4 rickshaws, 1 suvs, Done. (0.202s)\n",
            "image 223/450 /content/yolov5/test/Pias (723)_jpg.rf.f6ba6c77fc320df41d849cb9aa1679f5.jpg: 1024x1024 1 bicycles, 3 buss, 3 cars, 2 minivans, 5 rickshaws, 2 three wheelers (CNG)s, 2 wheelbarrows, Done. (0.202s)\n",
            "image 224/450 /content/yolov5/test/Pias (724)_jpg.rf.81982b7da6a05a5f27f8c73cab3b6ae4.jpg: 1024x1024 3 buss, 2 cars, 2 minivans, 3 rickshaws, 1 suvs, Done. (0.202s)\n",
            "image 225/450 /content/yolov5/test/Pias (725)_jpg.rf.e51a45f415fc2d2521b8e9f4650fa105.jpg: 1024x1024 2 buss, 3 cars, 1 motorbikes, 1 pickups, 1 army vehicles, 1 suvs, 2 three wheelers (CNG)s, 3 wheelbarrows, Done. (0.203s)\n",
            "image 226/450 /content/yolov5/test/Pias (726)_jpg.rf.f828cdaa2769d21f3f2b8ce322853389.jpg: 1024x1024 1 buss, 1 minivans, 1 motorbikes, 4 rickshaws, 1 suvs, 1 three wheelers (CNG)s, 2 wheelbarrows, Done. (0.204s)\n",
            "image 227/450 /content/yolov5/test/Pias (727)_jpg.rf.0b73e2a57c081d50a071ff93a2c04c95.jpg: 1024x1024 1 minivans, 1 motorbikes, 3 rickshaws, 1 suvs, 1 wheelbarrows, Done. (0.201s)\n",
            "image 228/450 /content/yolov5/test/Pias (728)_jpg.rf.fbf564c4294282fd50c1d369ebc5819f.jpg: 1024x1024 2 minivans, 1 motorbikes, 3 rickshaws, 1 suvs, Done. (0.203s)\n",
            "image 229/450 /content/yolov5/test/Pias (729)_jpg.rf.afde898251e67622151f5ab65f101f3a.jpg: 1024x1024 1 buss, 3 minivans, 6 rickshaws, 1 suvs, Done. (0.202s)\n",
            "image 230/450 /content/yolov5/test/Pias (730)_jpg.rf.3f81fde1405b68335babe3036d3863aa.jpg: 1024x1024 1 buss, 3 minivans, 6 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 231/450 /content/yolov5/test/Pias (731)_jpg.rf.fee0a1d901d0c11d75e4c29c45576ee8.jpg: 1024x1024 4 buss, 2 cars, 6 minivans, 7 rickshaws, 1 suvs, Done. (0.203s)\n",
            "image 232/450 /content/yolov5/test/Pias (732)_jpg.rf.a4a44b7fb7b9c14c0d685d7bd0367dd5.jpg: 1024x1024 2 buss, 1 cars, 4 minivans, 5 rickshaws, 2 suvs, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 233/450 /content/yolov5/test/Pias (733)_jpg.rf.0d58af4ffa07645e368693f17507085e.jpg: 1024x1024 2 buss, 4 minivans, 5 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 234/450 /content/yolov5/test/Pias (734)_jpg.rf.87ef2aa3095cdf27279930a3b8584909.jpg: 1024x1024 1 bicycles, 2 buss, 4 minivans, 5 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 235/450 /content/yolov5/test/Pias (735)_jpg.rf.7e50376e582a1c2b6a52b518018774d8.jpg: 1024x1024 2 buss, 2 cars, 4 minivans, 4 rickshaws, 1 suvs, Done. (0.202s)\n",
            "image 236/450 /content/yolov5/test/Pias (736)_jpg.rf.be2821f10f43c6b2b62c6a576030a879.jpg: 1024x1024 3 buss, 1 cars, 3 minivans, 4 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.202s)\n",
            "image 237/450 /content/yolov5/test/Pias (737)_jpg.rf.41238793acbc39aec955d7ac01729ced.jpg: 1024x1024 1 bicycles, 3 buss, 1 cars, 4 minivans, 5 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.202s)\n",
            "image 238/450 /content/yolov5/test/Pias (738)_jpg.rf.b89192004ad53b0939d4085addff6114.jpg: 1024x1024 1 bicycles, 2 buss, 2 minivans, 3 rickshaws, 1 suvs, Done. (0.205s)\n",
            "image 239/450 /content/yolov5/test/Pias (739)_jpg.rf.b7f72051de6609d0f08cee4839fa4691.jpg: 1024x1024 1 bicycles, 3 buss, 5 minivans, 1 motorbikes, 5 rickshaws, 3 suvs, 1 three wheelers (CNG)s, Done. (0.201s)\n",
            "image 240/450 /content/yolov5/test/Pias (740)_jpg.rf.d73eea6fb6d0da1990789b6c256ed16b.jpg: 1024x1024 1 bicycles, 1 buss, 2 minivans, 5 rickshaws, Done. (0.204s)\n",
            "image 241/450 /content/yolov5/test/Pias (741)_jpg.rf.c403cac114aa49d379269a8e76baa2ea.jpg: 1024x1024 1 bicycles, 1 buss, 2 minivans, 3 rickshaws, Done. (0.203s)\n",
            "image 242/450 /content/yolov5/test/Pias (742)_jpg.rf.ad2ea81c17a8eb765cce96ce3e1629cc.jpg: 1024x1024 1 bicycles, 1 buss, 2 minivans, 3 rickshaws, Done. (0.203s)\n",
            "image 243/450 /content/yolov5/test/Pias (743)_jpg.rf.368e9dc7a1d222c1fb676ae311778f02.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 2 rickshaws, Done. (0.206s)\n",
            "image 244/450 /content/yolov5/test/Pias (744)_jpg.rf.01fc2c2e2df59563897242ffc38fdfc2.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 minivans, 1 rickshaws, Done. (0.204s)\n",
            "image 245/450 /content/yolov5/test/Pias (745)_jpg.rf.33a0740eacea7add8cd1789fa354016e.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 2 rickshaws, Done. (0.205s)\n",
            "image 246/450 /content/yolov5/test/Pias (746)_jpg.rf.3bc2a823929489b5db84da321b0af7c0.jpg: 1024x1024 1 bicycles, 1 buss, 1 minivans, 2 rickshaws, Done. (0.205s)\n",
            "image 247/450 /content/yolov5/test/Pias (747)_jpg.rf.7fbd8aa91ad5e53ffb4373e23aa9936f.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, 1 minivans, 1 rickshaws, Done. (0.204s)\n",
            "image 248/450 /content/yolov5/test/Pias (748)_jpg.rf.b4c823d3adc4f8520e571930c84cb49f.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, 2 minivans, 3 motorbikes, 3 rickshaws, 1 suvs, Done. (0.205s)\n",
            "image 249/450 /content/yolov5/test/Pias (749)_jpg.rf.c8a2dcbe145d19578f604ddd18d27cda.jpg: 1024x1024 1 bicycles, 1 buss, 1 garbagevans, 4 minivans, 2 motorbikes, 4 rickshaws, 2 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 250/450 /content/yolov5/test/Pias (750)_jpg.rf.f09d623cc229bc7788700fd4a0f0b97a.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 4 minivans, 1 pickups, 6 rickshaws, 2 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 251/450 /content/yolov5/test/Pias (751)_jpg.rf.902df80a4e82b9c29243526b5c7f30f8.jpg: 1024x1024 2 minivans, 3 rickshaws, Done. (0.206s)\n",
            "image 252/450 /content/yolov5/test/Pias (752)_jpg.rf.e2fae7e79a950fe91692cd01ecb4189e.jpg: 1024x1024 3 minivans, 4 rickshaws, Done. (0.204s)\n",
            "image 253/450 /content/yolov5/test/Pias (753)_jpg.rf.03895d410f5c3fccda22a2d0e104fd6c.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 3 rickshaws, Done. (0.205s)\n",
            "image 254/450 /content/yolov5/test/Pias (754)_jpg.rf.5767d05ea686cda859de0da65ed8fe97.jpg: 1024x1024 1 motorbikes, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 255/450 /content/yolov5/test/Pias (755)_jpg.rf.03c00c7b21ce0b948df1c06d91b87711.jpg: 1024x1024 3 minivans, 1 motorbikes, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 256/450 /content/yolov5/test/Pias (756)_jpg.rf.703b41b95a8f31c92bce72f6666e0671.jpg: 1024x1024 1 auto rickshaws, 1 buss, 1 cars, 2 minivans, 1 motorbikes, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 257/450 /content/yolov5/test/Pias (757)_jpg.rf.e28e0ecb44b3a7bd53619b42d4d0f26c.jpg: 1024x1024 1 buss, 1 cars, 3 minivans, 1 motorbikes, 1 pickups, 4 rickshaws, 1 three wheelers (CNG)s, Done. (0.207s)\n",
            "image 258/450 /content/yolov5/test/Pias (758)_jpg.rf.9019fd012592e4ea98c55cfa80090a49.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, 3 minivans, 1 motorbikes, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 259/450 /content/yolov5/test/Pias (759)_jpg.rf.b6842b183eefe3034d8602d4bbf6ffc6.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 2 buss, 2 cars, 2 minivans, 1 motorbikes, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 260/450 /content/yolov5/test/Pias (760)_jpg.rf.e9069e9406a47ad71abd433b35636044.jpg: 1024x1024 1 trucks, Done. (0.204s)\n",
            "image 261/450 /content/yolov5/test/Pias (761)_jpg.rf.790e632bc61e9829585f49cd27c04bc0.jpg: 1024x1024 1 pickups, 1 policecars, 1 trucks, Done. (0.206s)\n",
            "image 262/450 /content/yolov5/test/Pias (762)_jpg.rf.43acdae9f1325d26fbc8be1b044d4c91.jpg: 1024x1024 1 auto rickshaws, 1 buss, 1 cars, 1 motorbikes, Done. (0.205s)\n",
            "image 263/450 /content/yolov5/test/Pias (763)_jpg.rf.6020719761d76ba70e436f151e2873ba.jpg: 1024x1024 1 trucks, Done. (0.206s)\n",
            "image 264/450 /content/yolov5/test/Pias (764)_jpg.rf.35eacfcedc3f18eb492a3f3c8d851b0d.jpg: 1024x1024 1 trucks, Done. (0.207s)\n",
            "image 265/450 /content/yolov5/test/Pias (765)_jpg.rf.88b8b0ed3ba991c523d131802a11105f.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.204s)\n",
            "image 266/450 /content/yolov5/test/Pias (766)_jpg.rf.45d7906aec6c15916b1907996624df6a.jpg: 1024x1024 1 buss, Done. (0.206s)\n",
            "image 267/450 /content/yolov5/test/Pias (767)_jpg.rf.7afcadfc0bdd830e9d9a39fc8a7d8a9b.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.207s)\n",
            "image 268/450 /content/yolov5/test/Pias (768)_jpg.rf.6b141358b671e7aa6d37d1e32730f02c.jpg: 1024x1024 2 auto rickshaws, 1 bicycles, Done. (0.207s)\n",
            "image 269/450 /content/yolov5/test/Pias (769)_jpg.rf.ea08ce8f013e350d01f608580a25e11c.jpg: 1024x1024 2 auto rickshaws, 2 bicycles, Done. (0.210s)\n",
            "image 270/450 /content/yolov5/test/Pias (770)_jpg.rf.ff5ce84c68c2c79f49a0aa37ec8687f8.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 garbagevans, 2 motorbikes, 1 rickshaws, Done. (0.209s)\n",
            "image 271/450 /content/yolov5/test/Pias (771)_jpg.rf.2fc1b2716afac73e9472be116ed8c647.jpg: 1024x1024 2 auto rickshaws, 2 bicycles, 1 buss, 1 garbagevans, 1 motorbikes, Done. (0.205s)\n",
            "image 272/450 /content/yolov5/test/Pias (772)_jpg.rf.62319227eaec89a888235caea5db1a3a.jpg: 1024x1024 2 bicycles, 1 buss, Done. (0.206s)\n",
            "image 273/450 /content/yolov5/test/Pias (773)_jpg.rf.ef0d434a71baa375ce99ebb46f188f32.jpg: 1024x1024 1 bicycles, 1 buss, 1 motorbikes, Done. (0.207s)\n",
            "image 274/450 /content/yolov5/test/Pias (774)_jpg.rf.a04a9c13ec84f8f62dcf48024302f388.jpg: 1024x1024 1 garbagevans, 1 motorbikes, Done. (0.208s)\n",
            "image 275/450 /content/yolov5/test/Pias (775)_jpg.rf.587311ec27273631db49ec1a562f9dda.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 garbagevans, 2 motorbikes, Done. (0.208s)\n",
            "image 276/450 /content/yolov5/test/Pias (776)_jpg.rf.685c8441cf64464b96094cb99912c608.jpg: 1024x1024 2 garbagevans, 2 motorbikes, Done. (0.206s)\n",
            "image 277/450 /content/yolov5/test/Pias (777)_jpg.rf.6ca123dfa37ff4d9201771f0d6fdf790.jpg: 1024x1024 1 auto rickshaws, 2 garbagevans, 2 motorbikes, Done. (0.208s)\n",
            "image 278/450 /content/yolov5/test/Pias (778)_jpg.rf.2dc9138e8e9a3c5a506e8b0d7bde0c0d.jpg: 1024x1024 2 garbagevans, 2 motorbikes, 1 pickups, Done. (0.207s)\n",
            "image 279/450 /content/yolov5/test/Pias (779)_jpg.rf.3f0bc368abab15269fbc970223da75c1.jpg: 1024x1024 1 auto rickshaws, 2 garbagevans, 2 motorbikes, Done. (0.207s)\n",
            "image 280/450 /content/yolov5/test/Pias (780)_jpg.rf.a38a03dedf85e1387e236a93758b5aff.jpg: 1024x1024 1 auto rickshaws, 2 garbagevans, 2 motorbikes, 1 pickups, 1 rickshaws, Done. (0.206s)\n",
            "image 281/450 /content/yolov5/test/Pias (781)_jpg.rf.d0cf378e1616efd3d9d6fba1d2885df1.jpg: 1024x1024 1 garbagevans, 2 motorbikes, Done. (0.208s)\n",
            "image 282/450 /content/yolov5/test/Pias (782)_jpg.rf.0c4e509a13c68b7a9b2206421b6ce479.jpg: 1024x1024 2 auto rickshaws, 2 bicycles, 1 garbagevans, 2 motorbikes, 1 pickups, 1 trucks, Done. (0.208s)\n",
            "image 283/450 /content/yolov5/test/Pias (783)_jpg.rf.cb544bed8fd42e0f48ae6a96eacad38a.jpg: 1024x1024 1 bicycles, 1 garbagevans, 2 motorbikes, 1 trucks, Done. (0.208s)\n",
            "image 284/450 /content/yolov5/test/Pias (784)_jpg.rf.2e63c3977a34b0bf2bae74acf88df33c.jpg: 1024x1024 1 bicycles, 1 buss, 2 garbagevans, 2 motorbikes, Done. (0.207s)\n",
            "image 285/450 /content/yolov5/test/Pias (785)_jpg.rf.7aff0303cbfa13be5e5ca5e612be9584.jpg: 1024x1024 1 cars, 2 garbagevans, 2 motorbikes, 1 pickups, Done. (0.209s)\n",
            "image 286/450 /content/yolov5/test/Pias (786)_jpg.rf.51152de465381a7bf7abb3263f803590.jpg: 1024x1024 1 bicycles, 1 buss, 2 garbagevans, 2 motorbikes, Done. (0.207s)\n",
            "image 287/450 /content/yolov5/test/Pias (787)_jpg.rf.fa34560b33fe81dcabae2c9beabb36c3.jpg: 1024x1024 1 buss, 2 motorbikes, Done. (0.209s)\n",
            "image 288/450 /content/yolov5/test/Pias (788)_jpg.rf.67d147e4c85547965d7e251264f78a9a.jpg: 1024x1024 3 garbagevans, 1 minivans, 3 motorbikes, 1 pickups, Done. (0.208s)\n",
            "image 289/450 /content/yolov5/test/Pias (789)_jpg.rf.03362577513c5c62c2f6b28a21b46a18.jpg: 1024x1024 1 auto rickshaws, 2 garbagevans, 1 minivans, 3 motorbikes, 1 pickups, 1 rickshaws, 1 wheelbarrows, Done. (0.210s)\n",
            "image 290/450 /content/yolov5/test/Pias (790)_jpg.rf.fc24bd20a69cb39d717eb0ab7c8f0532.jpg: 1024x1024 3 garbagevans, 3 motorbikes, Done. (0.207s)\n",
            "image 291/450 /content/yolov5/test/Pias (791)_jpg.rf.8a56f7c4516502a104256d31753f3910.jpg: 1024x1024 3 garbagevans, 3 motorbikes, Done. (0.208s)\n",
            "image 292/450 /content/yolov5/test/Pias (792)_jpg.rf.bb54658b2611e669d937c3a7061eb5fe.jpg: 1024x1024 2 garbagevans, 2 motorbikes, Done. (0.207s)\n",
            "image 293/450 /content/yolov5/test/Pias (793)_jpg.rf.84e046df1c567acc86fa28dab4fca457.jpg: 1024x1024 2 cars, 2 garbagevans, 2 motorbikes, 1 policecars, 1 vans, Done. (0.213s)\n",
            "image 294/450 /content/yolov5/test/Pias (794)_jpg.rf.cbe7ca93a3371c3c5b68e7afef32b73c.jpg: 1024x1024 2 buss, 2 cars, 2 garbagevans, 3 motorbikes, 1 policecars, 1 rickshaws, 1 vans, Done. (0.211s)\n",
            "image 295/450 /content/yolov5/test/Pias (795)_jpg.rf.2de5b6973a4f0559991eaea094040c83.jpg: 1024x1024 2 cars, 1 motorbikes, Done. (0.207s)\n",
            "image 296/450 /content/yolov5/test/Pias (796)_jpg.rf.b9cca3228f9f769d9cb5cb001e0cbd23.jpg: 1024x1024 1 auto rickshaws, 1 buss, 2 cars, 2 garbagevans, 2 minivans, 2 motorbikes, 1 pickups, 1 rickshaws, Done. (0.207s)\n",
            "image 297/450 /content/yolov5/test/Pias (797)_jpg.rf.aa85feba16fe47feed4a4e32ad39f568.jpg: 1024x1024 2 auto rickshaws, Done. (0.212s)\n",
            "image 298/450 /content/yolov5/test/Pias (798)_jpg.rf.f6eee473fcc0d11dd822eff27a14f55e.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 2 motorbikes, Done. (0.209s)\n",
            "image 299/450 /content/yolov5/test/Pias (799)_jpg.rf.a52df3421b89a3307b984145f9815441.jpg: 1024x1024 1 buss, 1 garbagevans, 2 motorbikes, Done. (0.208s)\n",
            "image 300/450 /content/yolov5/test/Pias (800)_jpg.rf.6fecbf2c3f503bbbae7db071322734fa.jpg: 1024x1024 1 buss, 1 garbagevans, 2 motorbikes, Done. (0.209s)\n",
            "image 301/450 /content/yolov5/test/Pias (801)_jpg.rf.637d7d93af7d67fd6b635f4ad824a5a1.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.208s)\n",
            "image 302/450 /content/yolov5/test/Pias (802)_jpg.rf.92ac2181f6f2d2a065ba572e31c536bf.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.212s)\n",
            "image 303/450 /content/yolov5/test/Pias (803)_jpg.rf.d4db75ee8fba53312be3a54e93036dc0.jpg: 1024x1024 1 bicycles, 1 buss, 1 garbagevans, 1 motorbikes, Done. (0.212s)\n",
            "image 304/450 /content/yolov5/test/Pias (804)_jpg.rf.7be65f0aff98bc63d0e2be1acf1d8cf9.jpg: 1024x1024 1 bicycles, 1 buss, 1 motorbikes, Done. (0.211s)\n",
            "image 305/450 /content/yolov5/test/Pias (805)_jpg.rf.7ea0321f78b1144ebdc32a2c53beef13.jpg: 1024x1024 1 bicycles, 1 buss, 1 motorbikes, Done. (0.209s)\n",
            "image 306/450 /content/yolov5/test/Pias (806)_jpg.rf.d25960b316bfa661e8109d8260f4c52d.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.208s)\n",
            "image 307/450 /content/yolov5/test/Pias (807)_jpg.rf.b89e74b1d97671dca81e6e3588e53181.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.210s)\n",
            "image 308/450 /content/yolov5/test/Pias (808)_jpg.rf.78f9d004a40ec34e8847acf11e8f2872.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.211s)\n",
            "image 309/450 /content/yolov5/test/Pias (809)_jpg.rf.80a1e75f58587a3d97ce306d594b6858.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.213s)\n",
            "image 310/450 /content/yolov5/test/Pias (810)_jpg.rf.c600263ad51d818d3b46800f56ff5c5c.jpg: 1024x1024 1 motorbikes, 1 vans, Done. (0.209s)\n",
            "image 311/450 /content/yolov5/test/Pias (811)_jpg.rf.35795d7ddbec104e7082ae3561c65e2e.jpg: 1024x1024 1 bicycles, 3 buss, Done. (0.208s)\n",
            "image 312/450 /content/yolov5/test/Pias (812)_jpg.rf.1998f86f8c789ce06c9315abb2a0ef92.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.210s)\n",
            "image 313/450 /content/yolov5/test/Pias (813)_jpg.rf.836f7c07764fd6fdd2b0c72443e55592.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.214s)\n",
            "image 314/450 /content/yolov5/test/Pias (814)_jpg.rf.1127e07ccc25a2a397a38d24d779f84a.jpg: 1024x1024 1 buss, Done. (0.215s)\n",
            "image 315/450 /content/yolov5/test/Pias (815)_jpg.rf.8c195142ce52f8c02d992c7bf78d88f2.jpg: 1024x1024 1 bicycles, 2 buss, Done. (0.211s)\n",
            "image 316/450 /content/yolov5/test/Pias (816)_jpg.rf.0bfe52495f49c8daed1d8c1565eb02b9.jpg: 1024x1024 1 trucks, Done. (0.210s)\n",
            "image 317/450 /content/yolov5/test/Pias (817)_jpg.rf.fbe4a05713a078d67128a74820f85a64.jpg: 1024x1024 1 army vehicles, 1 trucks, 1 vans, Done. (0.209s)\n",
            "image 318/450 /content/yolov5/test/Pias (818)_jpg.rf.a249799e7f3f24f2a388d7544c7f01e4.jpg: 1024x1024 1 trucks, Done. (0.216s)\n",
            "image 319/450 /content/yolov5/test/Pias (819)_jpg.rf.f66fbbd26367c987aabb9a9b6d4c9cff.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.213s)\n",
            "image 320/450 /content/yolov5/test/Pias (820)_jpg.rf.e3ab97c543aa63f4e86499ce2dc17941.jpg: 1024x1024 1 buss, 1 pickups, 1 policecars, 2 vans, Done. (0.208s)\n",
            "image 321/450 /content/yolov5/test/Pias (821)_jpg.rf.5c34ff172ebbae144f1b096a884543b2.jpg: 1024x1024 1 pickups, 2 trucks, Done. (0.210s)\n",
            "image 322/450 /content/yolov5/test/Pias (822)_jpg.rf.d95b897e46d97df7a39ddf02013ce3f4.jpg: 1024x1024 1 buss, 1 minibuss, 1 pickups, 1 trucks, Done. (0.214s)\n",
            "image 323/450 /content/yolov5/test/Pias (823)_jpg.rf.21398deb098934d0762812707d5bf1a3.jpg: 1024x1024 1 motorbikes, Done. (0.210s)\n",
            "image 324/450 /content/yolov5/test/Pias (824)_jpg.rf.dcfef99a33d73a0d7580f9a05727ca77.jpg: 1024x1024 1 buss, 1 cars, 1 motorbikes, Done. (0.211s)\n",
            "image 325/450 /content/yolov5/test/Pias (825)_jpg.rf.48347a4010e344f0d624f21ae7121a52.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 trucks, Done. (0.214s)\n",
            "image 326/450 /content/yolov5/test/Pias (826)_jpg.rf.20b04282e6e965f9d9a8038173e7cbb6.jpg: 1024x1024 1 human haulers, 1 minibuss, 1 pickups, Done. (0.212s)\n",
            "image 327/450 /content/yolov5/test/Pias (827)_jpg.rf.7c87003872a41327b95ec38f74ce58b7.jpg: 1024x1024 1 human haulers, 2 pickups, 2 trucks, Done. (0.211s)\n",
            "image 328/450 /content/yolov5/test/Pias (828)_jpg.rf.95cbc9626765d3a47179652fbe4f32c4.jpg: 1024x1024 1 pickups, 2 trucks, Done. (0.215s)\n",
            "image 329/450 /content/yolov5/test/Pias (829)_jpg.rf.0f5ccb2118953beed415af356f772097.jpg: 1024x1024 1 bicycles, 1 buss, 1 human haulers, 1 minivans, 2 pickups, 1 policecars, 1 trucks, 1 vans, Done. (0.211s)\n",
            "image 330/450 /content/yolov5/test/Pias (830)_jpg.rf.f281405e8a115846e09164d858d98556.jpg: 1024x1024 1 minivans, 1 pickups, 1 policecars, 1 vans, Done. (0.215s)\n",
            "image 331/450 /content/yolov5/test/Pias (831)_jpg.rf.3b2bad8761f0d1e457abd74f54283d2c.jpg: 1024x1024 1 buss, 1 pickups, Done. (0.211s)\n",
            "image 332/450 /content/yolov5/test/Pias (832)_jpg.rf.4095b61ee946d8fa82be313c0dc4cfa3.jpg: 1024x1024 1 buss, 1 pickups, 1 policecars, Done. (0.214s)\n",
            "image 333/450 /content/yolov5/test/Pias (833)_jpg.rf.a18e64e0e132d5b861343395776996a3.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 pickups, Done. (0.219s)\n",
            "image 334/450 /content/yolov5/test/Pias (834)_jpg.rf.1fe4602760acec4b8baabcca0430f641.jpg: 1024x1024 1 pickups, 1 policecars, Done. (0.215s)\n",
            "image 335/450 /content/yolov5/test/Pias (835)_jpg.rf.abd5a8beb61ec4e5acf7d666fc8ae5d5.jpg: 1024x1024 1 bicycles, 1 buss, 1 cars, 1 pickups, 1 policecars, Done. (0.215s)\n",
            "image 336/450 /content/yolov5/test/Pias (836)_jpg.rf.4c4fb2a72afbc3371700240e8d1df3cc.jpg: 1024x1024 1 minibuss, 1 motorbikes, 1 army vehicles, 2 trucks, Done. (0.210s)\n",
            "image 337/450 /content/yolov5/test/Pias (837)_jpg.rf.b88b2add7b7c280c3c3ef75134a83abd.jpg: 1024x1024 1 human haulers, 1 pickups, 1 policecars, 1 trucks, Done. (0.214s)\n",
            "image 338/450 /content/yolov5/test/Pias (838)_jpg.rf.ffb56f9e39652a5ec485acb0134d8a5b.jpg: 1024x1024 1 auto rickshaws, 1 human haulers, 2 pickups, 1 three wheelers (CNG)s, Done. (0.212s)\n",
            "image 339/450 /content/yolov5/test/Pias (839)_jpg.rf.f3f7d4d4ac4e7fec7d9bc48aa2235000.jpg: 1024x1024 1 cars, 1 minibuss, 3 pickups, 1 trucks, Done. (0.212s)\n",
            "image 340/450 /content/yolov5/test/Pias (840)_jpg.rf.867dc4da2bcad5b3d4f3303b9c035f35.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 pickups, Done. (0.211s)\n",
            "image 341/450 /content/yolov5/test/Pias (841)_jpg.rf.032edd6cc477773ccb1a3d09534ca69d.jpg: 1024x1024 1 buss, 1 policecars, Done. (0.211s)\n",
            "image 342/450 /content/yolov5/test/Pias (842)_jpg.rf.b4e7725780807e94b9177eeec258c0bf.jpg: 1024x1024 1 bicycles, 2 buss, 1 trucks, Done. (0.212s)\n",
            "image 343/450 /content/yolov5/test/Pias (843)_jpg.rf.402d94c13a2d281a6a6717988311c776.jpg: 1024x1024 1 auto rickshaws, 1 buss, 1 minibuss, 3 pickups, Done. (0.214s)\n",
            "image 344/450 /content/yolov5/test/Pias (844)_jpg.rf.1e899310dc1b313f69f1a56f10510f69.jpg: 1024x1024 1 buss, 1 pickups, 1 policecars, Done. (0.212s)\n",
            "image 345/450 /content/yolov5/test/Pias (845)_jpg.rf.3c2c2618a54ea9a5155cf9b8836708cf.jpg: 1024x1024 1 auto rickshaws, 1 pickups, 1 trucks, Done. (0.215s)\n",
            "image 346/450 /content/yolov5/test/Pias (846)_jpg.rf.efb08797b6e238a49df4180274a68e9e.jpg: 1024x1024 2 bicycles, 2 buss, 1 pickups, 1 trucks, Done. (0.215s)\n",
            "image 347/450 /content/yolov5/test/Pias (847)_jpg.rf.b36a4f1bad05216737467e250e16ecf4.jpg: 1024x1024 1 cars, 1 minibuss, 1 pickups, 2 trucks, Done. (0.212s)\n",
            "image 348/450 /content/yolov5/test/Pias (848)_jpg.rf.cdd47135b99b689dfa3799a4d8c4f0ff.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.209s)\n",
            "image 349/450 /content/yolov5/test/Pias (849)_jpg.rf.e2fed8ddc6023644330e726971c2d62f.jpg: 1024x1024 1 garbagevans, 1 motorbikes, 1 pickups, Done. (0.211s)\n",
            "image 350/450 /content/yolov5/test/Pias (850)_jpg.rf.cd4b6304ba38be8ac63035624204061b.jpg: 1024x1024 1 trucks, Done. (0.212s)\n",
            "image 351/450 /content/yolov5/test/Pias (851)_jpg.rf.1d04713be3652fc6e572f6af53f105dd.jpg: 1024x1024 1 buss, 2 pickups, 1 trucks, Done. (0.211s)\n",
            "image 352/450 /content/yolov5/test/Pias (852)_jpg.rf.c5a01ebe864880197d20221d2cc732d7.jpg: 1024x1024 1 auto rickshaws, 1 minivans, 1 trucks, Done. (0.211s)\n",
            "image 353/450 /content/yolov5/test/Pias (853)_jpg.rf.c443f9871324ea8ae941cc18707ce1d5.jpg: 1024x1024 1 buss, 1 human haulers, 1 pickups, 1 trucks, Done. (0.210s)\n",
            "image 354/450 /content/yolov5/test/Pias (854)_jpg.rf.da844a7fdad48b342563b6c91238fda4.jpg: 1024x1024 1 garbagevans, 2 motorbikes, 1 pickups, Done. (0.209s)\n",
            "image 355/450 /content/yolov5/test/Pias (855)_jpg.rf.a89a78bbd360663cacf3b9384c8c3b50.jpg: 1024x1024 1 minibuss, 1 pickups, 1 trucks, Done. (0.207s)\n",
            "image 356/450 /content/yolov5/test/Pias (856)_jpg.rf.f8a738879c495e9e95e3e0aefe50a0d4.jpg: 1024x1024 1 pickups, 1 trucks, Done. (0.211s)\n",
            "image 357/450 /content/yolov5/test/Pias (857)_jpg.rf.e5cd5824a6a99468b809a37fc0bb41dd.jpg: 1024x1024 1 bicycles, 1 buss, 1 trucks, Done. (0.210s)\n",
            "image 358/450 /content/yolov5/test/Pias (858)_jpg.rf.afecd0e5cb8a71d3b12a860df59268b3.jpg: 1024x1024 1 pickups, 1 vans, Done. (0.207s)\n",
            "image 359/450 /content/yolov5/test/Pias (859)_jpg.rf.357aad324f08d15510499176aca7a35b.jpg: 1024x1024 1 trucks, Done. (0.208s)\n",
            "image 360/450 /content/yolov5/test/Pias (860)_jpg.rf.3b07b5944eb8fc1f35b4d1a729ef79a8.jpg: 1024x1024 1 pickups, 1 trucks, Done. (0.207s)\n",
            "image 361/450 /content/yolov5/test/Pias (861)_jpg.rf.01601ba6a51cbb045a4a3fa23a75b9e6.jpg: 1024x1024 1 bicycles, 1 buss, 2 pickups, 1 trucks, Done. (0.209s)\n",
            "image 362/450 /content/yolov5/test/Pias (862)_jpg.rf.90fc156f7b2557e48d1cda910d0ed79a.jpg: 1024x1024 1 army vehicles, 1 trucks, Done. (0.208s)\n",
            "image 363/450 /content/yolov5/test/Pias (863)_jpg.rf.b38c01e16ed800d57db07a83164a8fdd.jpg: 1024x1024 1 pickups, 1 trucks, Done. (0.208s)\n",
            "image 364/450 /content/yolov5/test/Pias (864)_jpg.rf.bd9fd8bbeb969e04612d28f7aedc5f40.jpg: 1024x1024 1 buss, 1 pickups, Done. (0.212s)\n",
            "image 365/450 /content/yolov5/test/Pias (865)_jpg.rf.57734d6f058a94eb119c013b9ae6d22f.jpg: 1024x1024 1 bicycles, 1 buss, 1 trucks, Done. (0.210s)\n",
            "image 366/450 /content/yolov5/test/Pias (866)_jpg.rf.58c12615b425b549735600b45c64ad6a.jpg: 1024x1024 1 auto rickshaws, Done. (0.206s)\n",
            "image 367/450 /content/yolov5/test/Pias (867)_jpg.rf.3e429ae0868778b008f443ebdfd96f7d.jpg: 1024x1024 1 auto rickshaws, 1 pickups, Done. (0.206s)\n",
            "image 368/450 /content/yolov5/test/Pias (868)_jpg.rf.19c0e2964e9d62978d0f0f1b6f0cc52b.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.209s)\n",
            "image 369/450 /content/yolov5/test/Pias (869)_jpg.rf.dfd72d5c7ac993eee1a4e3eb39155bf0.jpg: 1024x1024 1 motorbikes, 1 three wheelers (CNG)s, Done. (0.209s)\n",
            "image 370/450 /content/yolov5/test/Pias (870)_jpg.rf.888d92c02ce55d64b3be5dc446cba9af.jpg: 1024x1024 1 buss, 1 policecars, Done. (0.208s)\n",
            "image 371/450 /content/yolov5/test/Pias (871)_jpg.rf.b0de8cf3ab24d844e6bea7567124ed87.jpg: 1024x1024 2 buss, Done. (0.209s)\n",
            "image 372/450 /content/yolov5/test/Pias (872)_jpg.rf.bf60e7a1898e2d7d0907089b2ae809f1.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.206s)\n",
            "image 373/450 /content/yolov5/test/Pias (873)_jpg.rf.a8b46e31594eb29955ebd7f0ab060e3a.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.207s)\n",
            "image 374/450 /content/yolov5/test/Pias (874)_jpg.rf.8263e9739fb3ea8726dfd2885599d6a2.jpg: 1024x1024 1 cars, 1 minivans, 1 motorbikes, 1 pickups, 1 policecars, 1 vans, Done. (0.206s)\n",
            "image 375/450 /content/yolov5/test/Pias (875)_jpg.rf.c9f88390445b4f93e830fa7492ee63b6.jpg: 1024x1024 1 motorbikes, 1 pickups, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 376/450 /content/yolov5/test/Pias (876)_jpg.rf.eb5b5adc895274ad17f80681f5bf3810.jpg: 1024x1024 Done. (0.207s)\n",
            "image 377/450 /content/yolov5/test/Pias (877)_jpg.rf.466c9efb639227509b682ce65971e108.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.209s)\n",
            "image 378/450 /content/yolov5/test/Pias (878)_jpg.rf.183875c06a9bfe526d17ffa802466256.jpg: 1024x1024 2 rickshaws, Done. (0.211s)\n",
            "image 379/450 /content/yolov5/test/Pias (879)_jpg.rf.f87fdb1b5ea2c08270c3b10e85de5221.jpg: 1024x1024 1 bicycles, 1 buss, Done. (0.208s)\n",
            "image 380/450 /content/yolov5/test/Pias (880)_jpg.rf.e320149017e5d92c90a480508d77902a.jpg: 1024x1024 1 bicycles, 1 pickups, 1 army vehicles, 1 three wheelers (CNG)s, 2 trucks, Done. (0.209s)\n",
            "image 381/450 /content/yolov5/test/sabiha(100)_jpg.rf.520fa23fa2dacc9ea50f66d6a30d140d.jpg: 1024x1024 4 buss, 3 cars, 3 minivans, 1 pickups, 4 rickshaws, 2 three wheelers (CNG)s, Done. (0.208s)\n",
            "image 382/450 /content/yolov5/test/sabiha(101)_jpg.rf.a75ac9c96505b4f4de84b818ea924bed.jpg: 1024x1024 3 buss, 3 cars, 3 minivans, 8 rickshaws, Done. (0.206s)\n",
            "image 383/450 /content/yolov5/test/sabiha(102)_jpg.rf.6483f2ec36ebe461e50c2d6f11b341cb.jpg: 1024x1024 2 buss, 2 cars, 2 minivans, 1 motorbikes, 6 rickshaws, Done. (0.208s)\n",
            "image 384/450 /content/yolov5/test/sabiha(105)_jpg.rf.ddeaa6b6489fe7790e6b08b545376106.jpg: 1024x1024 1 bicycles, 3 buss, 3 cars, 3 minivans, 3 rickshaws, Done. (0.208s)\n",
            "image 385/450 /content/yolov5/test/sabiha(106)_jpg.rf.4807b4f7dcf358a9e9905a7b7793f7a0.jpg: 1024x1024 2 buss, 2 cars, 4 minivans, 4 rickshaws, Done. (0.207s)\n",
            "image 386/450 /content/yolov5/test/sabiha(107)_jpg.rf.7e1a867765b15e8c9747350ceb4d1290.jpg: 1024x1024 1 auto rickshaws, 2 buss, 2 cars, 2 minivans, 3 rickshaws, 1 suvs, Done. (0.210s)\n",
            "image 387/450 /content/yolov5/test/sabiha(108)_jpg.rf.2be2c17ce93e32031d8f0342493b641b.jpg: 1024x1024 3 buss, 3 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 4 rickshaws, Done. (0.209s)\n",
            "image 388/450 /content/yolov5/test/sabiha(109)_jpg.rf.51d9ba1c859446588804cdf36ce77a13.jpg: 1024x1024 1 buss, 2 cars, 3 minivans, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 389/450 /content/yolov5/test/sabiha(110)_jpg.rf.3f306297f798096aefbc02f66aea6040.jpg: 1024x1024 1 bicycles, 2 buss, 2 cars, 1 minivans, 1 motorbikes, 1 rickshaws, Done. (0.208s)\n",
            "image 390/450 /content/yolov5/test/sabiha(111)_jpg.rf.ba9351350e483981daba7372da666abd.jpg: 1024x1024 1 bicycles, 2 buss, 2 cars, 1 garbagevans, 2 motorbikes, 1 rickshaws, Done. (0.206s)\n",
            "image 391/450 /content/yolov5/test/sabiha(112)_jpg.rf.15cfe41a85b1d3c4d5235d9741adab5a.jpg: 1024x1024 1 bicycles, 2 buss, 2 cars, 1 minivans, 1 motorbikes, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.207s)\n",
            "image 392/450 /content/yolov5/test/sabiha(113)_jpg.rf.ad0ade4641d45ee086c409967341ff2b.jpg: 1024x1024 2 buss, 2 cars, 1 garbagevans, 4 minivans, 3 motorbikes, 1 pickups, 4 rickshaws, 1 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 393/450 /content/yolov5/test/sabiha(114)_jpg.rf.b97f95df3cd9c5447a39690533e6307d.jpg: 1024x1024 3 buss, 2 cars, 1 garbagevans, 4 minivans, 1 motorbikes, 6 rickshaws, Done. (0.204s)\n",
            "image 394/450 /content/yolov5/test/sabiha(115)_jpg.rf.30b61b8c14566d5002cd5db54e17e771.jpg: 1024x1024 1 bicycles, 2 buss, 2 cars, 1 minivans, 1 pickups, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.207s)\n",
            "image 395/450 /content/yolov5/test/sabiha(116)_jpg.rf.e57b4980d1e0675fb9a3b1e537124c74.jpg: 1024x1024 4 buss, 2 cars, 3 minivans, 1 pickups, 4 rickshaws, 1 suvs, Done. (0.207s)\n",
            "image 396/450 /content/yolov5/test/sabiha(117)_jpg.rf.aae2d581c356c8d5acd9518d87d419d0.jpg: 1024x1024 2 buss, 3 cars, 3 minivans, 1 motorbikes, 1 pickups, 4 rickshaws, Done. (0.208s)\n",
            "image 397/450 /content/yolov5/test/sabiha(118)_jpg.rf.0af45a4e0851802e9b37a93d6f2c44d9.jpg: 1024x1024 4 buss, 6 cars, 2 garbagevans, 2 minivans, 1 motorbikes, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 398/450 /content/yolov5/test/sabiha(119)_jpg.rf.8def868e4e7f6d6d4d9ac72c59d32d75.jpg: 1024x1024 1 auto rickshaws, 2 buss, 2 cars, 1 garbagevans, 5 minivans, 2 motorbikes, 1 pickups, 9 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 399/450 /content/yolov5/test/sabiha(120)_jpg.rf.864b2afbec684cc4c52b4f8c75989075.jpg: 1024x1024 2 buss, 3 cars, 7 minivans, 1 motorbikes, 6 rickshaws, 2 suvs, Done. (0.206s)\n",
            "image 400/450 /content/yolov5/test/sabiha(121)_jpg.rf.15c99e6d47d49616b4cbbecd7365347b.jpg: 1024x1024 1 auto rickshaws, 1 buss, 2 cars, 5 minivans, 1 motorbikes, 4 rickshaws, 2 suvs, 1 vans, Done. (0.206s)\n",
            "image 401/450 /content/yolov5/test/sabiha(122)_jpg.rf.74071a58f14a561b0eea9409f74fd6e7.jpg: 1024x1024 1 buss, 1 cars, 4 minivans, 2 motorbikes, 7 rickshaws, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 402/450 /content/yolov5/test/sabiha(123)_jpg.rf.b6099a0ae73b4d44869abb8189d7bccd.jpg: 1024x1024 1 auto rickshaws, 1 bicycles, 1 buss, 1 cars, 4 minivans, 1 motorbikes, 5 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 403/450 /content/yolov5/test/sabiha(124)_jpg.rf.39e9ab85ff1452b408e27af6c79dbd32.jpg: 1024x1024 1 bicycles, 1 buss, 2 cars, 4 minivans, 5 rickshaws, 1 three wheelers (CNG)s, 1 vans, Done. (0.206s)\n",
            "image 404/450 /content/yolov5/test/sabiha(53)_jpg.rf.22d3e01db8d9a76154489d965e56bb71.jpg: 1024x1024 2 buss, 1 cars, 2 minivans, 1 pickups, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 405/450 /content/yolov5/test/sabiha(54)_jpg.rf.dc741ae23ab43bcefce49d93c2c4e7ea.jpg: 1024x1024 1 bicycles, 1 buss, 2 cars, 3 minivans, 2 pickups, 3 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 406/450 /content/yolov5/test/sabiha(55)_jpg.rf.5aa4dd1b6645edd9938b8f201cb15c6d.jpg: 1024x1024 1 bicycles, 3 buss, 1 cars, 4 minivans, 1 pickups, 3 rickshaws, 1 suvs, Done. (0.207s)\n",
            "image 407/450 /content/yolov5/test/sabiha(56)_jpg.rf.b28826a9f399c18f5348abe1cf4b01d0.jpg: 1024x1024 1 buss, 2 cars, 2 minivans, 1 army vehicles, 1 rickshaws, 2 suvs, 1 trucks, Done. (0.205s)\n",
            "image 408/450 /content/yolov5/test/sabiha(57)_jpg.rf.3773de591735205c18a6e85350b95582.jpg: 1024x1024 1 bicycles, 3 buss, 1 cars, 1 minibuss, 1 minivans, 1 rickshaws, Done. (0.208s)\n",
            "image 409/450 /content/yolov5/test/sabiha(58)_jpg.rf.846882d91811e8b583ded0962428b91c.jpg: 1024x1024 3 buss, 1 cars, 1 minibuss, 1 pickups, 1 policecars, 2 rickshaws, 1 suvs, Done. (0.207s)\n",
            "image 410/450 /content/yolov5/test/sabiha(59)_jpg.rf.185546b75306f5c0db6951f0c858fdc4.jpg: 1024x1024 2 bicycles, 4 buss, 1 cars, 2 minivans, 1 pickups, 2 rickshaws, 1 suvs, Done. (0.205s)\n",
            "image 411/450 /content/yolov5/test/sabiha(60)_jpg.rf.941fb593ee5ab6eaf01808ad592e329d.jpg: 1024x1024 1 bicycles, 4 buss, 1 cars, 1 minivans, 1 army vehicles, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 412/450 /content/yolov5/test/sabiha(61)_jpg.rf.608ecd71f1dea405f8d9a4f945614da4.jpg: 1024x1024 1 bicycles, 5 buss, 4 cars, 2 minivans, 3 rickshaws, 1 suvs, 1 vans, Done. (0.205s)\n",
            "image 413/450 /content/yolov5/test/sabiha(62)_jpg.rf.dfacb32315ccae934fb1af636e278592.jpg: 1024x1024 2 bicycles, 4 buss, 1 cars, 2 minivans, 3 rickshaws, Done. (0.206s)\n",
            "image 414/450 /content/yolov5/test/sabiha(63)_jpg.rf.e7537ab06c662b96330b79fb2fa09569.jpg: 1024x1024 1 bicycles, 2 buss, 1 cars, 2 minivans, 3 rickshaws, Done. (0.204s)\n",
            "image 415/450 /content/yolov5/test/sabiha(64)_jpg.rf.62d1b15c95efdff60aa73d919c79bc99.jpg: 1024x1024 1 bicycles, 2 buss, 2 cars, 2 minivans, 1 pickups, 4 rickshaws, Done. (0.206s)\n",
            "image 416/450 /content/yolov5/test/sabiha(65)_jpg.rf.53f0258be2962b6227b9704927178c4a.jpg: 1024x1024 1 auto rickshaws, 2 buss, 2 cars, 3 minivans, 1 motorbikes, 6 rickshaws, 1 suvs, Done. (0.204s)\n",
            "image 417/450 /content/yolov5/test/sabiha(66)_jpg.rf.8d13b92ea1c100e72e417dfc5676abbe.jpg: 1024x1024 1 buss, 1 cars, 7 minivans, 1 policecars, 8 rickshaws, Done. (0.205s)\n",
            "image 418/450 /content/yolov5/test/sabiha(67)_jpg.rf.0fd08615215f7ba1f54ad15c1397bd6f.jpg: 1024x1024 1 buss, 1 cars, 4 minivans, 4 rickshaws, Done. (0.205s)\n",
            "image 419/450 /content/yolov5/test/sabiha(68)_jpg.rf.924302c9a68390052570db86921a0cc3.jpg: 1024x1024 1 buss, 1 cars, 3 minivans, 4 rickshaws, Done. (0.204s)\n",
            "image 420/450 /content/yolov5/test/sabiha(69)_jpg.rf.6577ba41b53fdf85d8554122ed2e9ff6.jpg: 1024x1024 2 buss, 3 cars, 3 minivans, 3 rickshaws, 1 suvs, Done. (0.206s)\n",
            "image 421/450 /content/yolov5/test/sabiha(70)_jpg.rf.dc6293c5c71269ae78a8ddba8fa92cab.jpg: 1024x1024 1 auto rickshaws, 2 buss, 3 cars, 3 minivans, 5 rickshaws, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 422/450 /content/yolov5/test/sabiha(71)_jpg.rf.0a3d62d1295a72ede811306a6c246df8.jpg: 1024x1024 2 buss, 2 cars, 1 minivans, 1 pickups, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 423/450 /content/yolov5/test/sabiha(72)_jpg.rf.d377708c24d2e20fde4b47e095468ee3.jpg: 1024x1024 1 buss, 1 cars, 1 garbagevans, 2 minivans, 1 motorbikes, 3 rickshaws, Done. (0.205s)\n",
            "image 424/450 /content/yolov5/test/sabiha(73)_jpg.rf.dc14a453297542d1fe03be7cb22fe060.jpg: 1024x1024 2 buss, 1 cars, 1 minivans, 4 rickshaws, 2 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 425/450 /content/yolov5/test/sabiha(74)_jpg.rf.797f1757717dbe62d903934763bad6c1.jpg: 1024x1024 1 bicycles, 3 buss, 3 cars, 2 garbagevans, 2 minivans, 2 motorbikes, 1 pickups, 3 rickshaws, 2 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 426/450 /content/yolov5/test/sabiha(75)_jpg.rf.d7a990fe98d8fd41f5e01bb6ea23ffa9.jpg: 1024x1024 1 auto rickshaws, 3 buss, 4 cars, 1 garbagevans, 2 minivans, 1 motorbikes, 1 pickups, 4 rickshaws, 2 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 427/450 /content/yolov5/test/sabiha(76)_jpg.rf.366140b0be340a757d5f0e5b32e3285e.jpg: 1024x1024 3 buss, 3 cars, 1 minivans, 1 pickups, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 428/450 /content/yolov5/test/sabiha(77)_jpg.rf.8ea4312424cbf4197395f3c9e2326f65.jpg: 1024x1024 2 buss, 3 cars, 3 minivans, 1 pickups, 5 rickshaws, 1 three wheelers (CNG)s, Done. (0.206s)\n",
            "image 429/450 /content/yolov5/test/sabiha(78)_jpg.rf.da0a6edbee65e5bfa2937755bec83218.jpg: 1024x1024 2 buss, 2 cars, 3 minivans, 1 pickups, 6 rickshaws, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 430/450 /content/yolov5/test/sabiha(79)_jpg.rf.7c91c09df62bfcf39e4428b6117555eb.jpg: 1024x1024 1 auto rickshaws, 3 buss, 2 cars, 2 minivans, 1 pickups, 3 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.204s)\n",
            "image 431/450 /content/yolov5/test/sabiha(80)_jpg.rf.efcc9f21bdecc31b1405af0702e366dd.jpg: 1024x1024 2 buss, 2 cars, 2 minivans, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 432/450 /content/yolov5/test/sabiha(81)_jpg.rf.25ebfa807a864244cc553a616f74d3c2.jpg: 1024x1024 3 buss, 3 cars, 1 minivans, 1 pickups, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 433/450 /content/yolov5/test/sabiha(82)_jpg.rf.a325b7474fde4fef1e4759130b72bb96.jpg: 1024x1024 3 buss, 2 cars, 1 minivans, 1 pickups, 3 rickshaws, 1 three wheelers (CNG)s, Done. (0.202s)\n",
            "image 434/450 /content/yolov5/test/sabiha(83)_jpg.rf.7fbdcbbb23f3cd76bb5691b1170269fc.jpg: 1024x1024 3 buss, 3 cars, 1 pickups, 2 rickshaws, 1 three wheelers (CNG)s, Done. (0.202s)\n",
            "image 435/450 /content/yolov5/test/sabiha(84)_jpg.rf.ef90ff65f385b3fcfaca4b84b2a3e306.jpg: 1024x1024 1 buss, 1 cars, 1 minivans, 1 rickshaws, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 436/450 /content/yolov5/test/sabiha(85)_jpg.rf.816ee70536f414f9b2cd01d375f44004.jpg: 1024x1024 1 buss, 2 cars, 1 minivans, 1 pickups, 1 rickshaws, 2 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 437/450 /content/yolov5/test/sabiha(86)_jpg.rf.2126943027a53d69b91fa7b22b081a70.jpg: 1024x1024 2 buss, 1 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 1 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 438/450 /content/yolov5/test/sabiha(87)_jpg.rf.fdf334b1bc78f4dc80b5793ed601e57d.jpg: 1024x1024 1 buss, 2 cars, 1 minivans, 1 pickups, 4 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 439/450 /content/yolov5/test/sabiha(88)_jpg.rf.8f4805749f7b235963d7e0a8045841cc.jpg: 1024x1024 2 buss, 2 cars, 5 minivans, 5 rickshaws, 1 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 440/450 /content/yolov5/test/sabiha(89)_jpg.rf.f6be5a7eb3fadaeac2072b69be85cbd6.jpg: 1024x1024 2 buss, 1 cars, 2 minivans, 1 motorbikes, 4 rickshaws, 1 suvs, Done. (0.205s)\n",
            "image 441/450 /content/yolov5/test/sabiha(90)_jpg.rf.6b5ca8727e674b353923088be6561103.jpg: 1024x1024 1 buss, 1 cars, 1 garbagevans, 3 minivans, 1 motorbikes, 7 rickshaws, Done. (0.202s)\n",
            "image 442/450 /content/yolov5/test/sabiha(91)_jpg.rf.bcf7f84b8f7861e5ace76f8dc731d355.jpg: 1024x1024 2 buss, 2 cars, 2 minivans, 1 motorbikes, 5 rickshaws, Done. (0.203s)\n",
            "image 443/450 /content/yolov5/test/sabiha(92)_jpg.rf.0adae07dfaaaf89708ae9ebefda0160c.jpg: 1024x1024 3 buss, 2 cars, 6 minivans, 12 rickshaws, 1 suvs, Done. (0.202s)\n",
            "image 444/450 /content/yolov5/test/sabiha(93)_jpg.rf.589c7ea00ecf2f847c831aa1a853e2b6.jpg: 1024x1024 3 buss, 4 cars, 8 minivans, 2 pickups, 9 rickshaws, 2 suvs, 2 three wheelers (CNG)s, Done. (0.203s)\n",
            "image 445/450 /content/yolov5/test/sabiha(94)_jpg.rf.350dc48577179a83e607af2af2234ba8.jpg: 1024x1024 1 buss, 2 cars, 4 minivans, 10 rickshaws, Done. (0.204s)\n",
            "image 446/450 /content/yolov5/test/sabiha(95)_jpg.rf.3af8019ff29e7d473c75068caa4433ca.jpg: 1024x1024 2 buss, 2 cars, 4 minivans, 1 motorbikes, 7 rickshaws, 1 suvs, Done. (0.201s)\n",
            "image 447/450 /content/yolov5/test/sabiha(96)_jpg.rf.44ebe0c9784bfad05a4dbb5d1e531b42.jpg: 1024x1024 2 buss, 2 cars, 3 minivans, 1 pickups, 4 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.205s)\n",
            "image 448/450 /content/yolov5/test/sabiha(97)_jpg.rf.268e51679e08fe81a41872bd523d5fb0.jpg: 1024x1024 1 bicycles, 4 buss, 2 cars, 1 minivans, 1 pickups, 2 rickshaws, 1 suvs, 1 three wheelers (CNG)s, Done. (0.202s)\n",
            "image 449/450 /content/yolov5/test/sabiha(98)_jpg.rf.f77bc2bc39979801a26c21452907a05a.jpg: 1024x1024 3 bicycles, 5 buss, 4 cars, 1 garbagevans, 1 minivans, 1 motorbikes, 2 rickshaws, 1 suvs, Done. (0.202s)\n",
            "image 450/450 /content/yolov5/test/sabiha(99)_jpg.rf.1a1919113158ac03bbaeb9842ab34e17.jpg: 1024x1024 1 bicycles, 4 buss, 3 cars, 1 motorbikes, 1 rickshaws, 1 suvs, Done. (0.202s)\n",
            "Results saved to /content/yolov5/output\n",
            "Done. (110.511s)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9x34KuAQvgt8"
      },
      "source": [
        "# Creation of submission file"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 266
        },
        "id": "1ffbphkk6Y3R",
        "outputId": "385d3a54-5b08-4700-a856-fb1414552d17"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "append_data=[]\n",
        "\n",
        "for i in range(len(res)):\n",
        "  df = pd.DataFrame(res[i], columns = ['image_id','class','score','xmin','ymin','xmax','ymax'])\n",
        "  append_data.append(df)\n",
        "\n",
        "finl_results=pd.concat(append_data)\n",
        "finl_results.image_id = [x.strip('output/') for x in finl_results.image_id]\n",
        "\n",
        "finl_results['width'] = 1024\n",
        "finl_results['height'] = 1024\n",
        "\n",
        "print(f'Number of Objects Detected: {finl_results.shape[0]}')\n",
        "\n",
        "# Saving the submission file with timestamp\n",
        "import datetime\n",
        "now = datetime.datetime.now()\n",
        "timestamp = now.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
        "\n",
        "finl_results.to_csv(f'{timestamp} submission.csv', index=False)\n",
        "print('Submission file is written Successfully!\\n\\n Sneak Peak at Submission File :)')\n",
        "\n",
        "finl_results.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of Objects Detected: 3846\n",
            "Submission file is written Successfully!\n",
            "\n",
            " Sneak Peak at Submission File :)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>image_id</th>\n",
              "      <th>class</th>\n",
              "      <th>score</th>\n",
              "      <th>xmin</th>\n",
              "      <th>ymin</th>\n",
              "      <th>xmax</th>\n",
              "      <th>ymax</th>\n",
              "      <th>width</th>\n",
              "      <th>height</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Asraf_100_jpg.rf.472d5bd950587612520051eebd827...</td>\n",
              "      <td>rickshaw</td>\n",
              "      <td>0.60</td>\n",
              "      <td>467</td>\n",
              "      <td>443</td>\n",
              "      <td>511</td>\n",
              "      <td>545</td>\n",
              "      <td>1024</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Asraf_100_jpg.rf.472d5bd950587612520051eebd827...</td>\n",
              "      <td>rickshaw</td>\n",
              "      <td>0.60</td>\n",
              "      <td>423</td>\n",
              "      <td>435</td>\n",
              "      <td>465</td>\n",
              "      <td>539</td>\n",
              "      <td>1024</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Asraf_100_jpg.rf.472d5bd950587612520051eebd827...</td>\n",
              "      <td>rickshaw</td>\n",
              "      <td>0.59</td>\n",
              "      <td>945</td>\n",
              "      <td>414</td>\n",
              "      <td>1023</td>\n",
              "      <td>565</td>\n",
              "      <td>1024</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Asraf_100_jpg.rf.472d5bd950587612520051eebd827...</td>\n",
              "      <td>three wheelers (CNG)</td>\n",
              "      <td>0.54</td>\n",
              "      <td>513</td>\n",
              "      <td>424</td>\n",
              "      <td>625</td>\n",
              "      <td>636</td>\n",
              "      <td>1024</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Asraf_100_jpg.rf.472d5bd950587612520051eebd827...</td>\n",
              "      <td>bus</td>\n",
              "      <td>0.53</td>\n",
              "      <td>698</td>\n",
              "      <td>410</td>\n",
              "      <td>742</td>\n",
              "      <td>488</td>\n",
              "      <td>1024</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                            image_id  ... height\n",
              "0  Asraf_100_jpg.rf.472d5bd950587612520051eebd827...  ...   1024\n",
              "1  Asraf_100_jpg.rf.472d5bd950587612520051eebd827...  ...   1024\n",
              "2  Asraf_100_jpg.rf.472d5bd950587612520051eebd827...  ...   1024\n",
              "3  Asraf_100_jpg.rf.472d5bd950587612520051eebd827...  ...   1024\n",
              "4  Asraf_100_jpg.rf.472d5bd950587612520051eebd827...  ...   1024\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cENuwbi2vkuR"
      },
      "source": [
        "# DONE!"
      ]
    }
  ]
}