Custom_YOLOv5_OpenImages_Testing.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Custom_YOLOv5_OpenImages_Testing.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yFwSj4PFttej"
      },
      "source": [
        "# How to Test YOLOv5 on Custom Objects with different datasets\n",
        "\n",
        "All you need to do is to first load the directory which contains the YOLO trained weights and we will test our model with the best model. \n",
        "\n",
        "# Steps to do that -\n",
        "\n",
        "Go to the test_data.yaml file -\n",
        "\n",
        "** Don't change the data.yaml file as it is used for training in future.\n",
        "\n",
        "Change the directory of test folder location to the desired location where you have the images.\n",
        "\n",
        "Make sure you have the same name for the labels and the image files. \n",
        "\n",
        "The label file for all the images folder like JEPG, WebP will be same. Just change the label names and image names to match each other.\n",
        "\n",
        "I will share an example with WEBP images and you can also do the rest by yourself."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7ht5ZcjJuMg9",
        "outputId": "24c1fdb1-d6da-4961-d4eb-30155e160a92"
      },
      "source": [
        "cd drive/MyDrive/yolov5_upwork/"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[Errno 2] No such file or directory: 'drive/MyDrive/yolov5_upwork/'\n",
            "/content/drive/My Drive/yolov5_upwork/yolov5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cfJ7Om8mxenP"
      },
      "source": [
        "cd yolov5"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1NveTHg0xjd2",
        "outputId": "8f6b1b67-4aad-46a5-cfe3-ae656927977d"
      },
      "source": [
        "!pip install -r requirements.txt"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard>=2.2->-r requirements.txt (line 11)) (3.4.1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OOe7HYLaxonZ",
        "outputId": "af420e0c-5061-40f8-bf71-ec918e94c77d"
      },
      "source": [
        "cd .."
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive/yolov5_upwork\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mbhJjl6wvvg6",
        "outputId": "ebc54dd9-5d7b-4a9b-90f5-eaff0992ae3f"
      },
      "source": [
        "cd testing_files/"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive/yolov5_upwork/testing_files\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3wx1Dezsv8x-",
        "outputId": "bc1a3293-665d-4cfc-a0f8-3b3dbd924fca"
      },
      "source": [
        "!unzip WebP.zip"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  WebP.zip\n",
            "   creating: WebP/\n",
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            "   creating: WebP/quality4/labels/\n",
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            "   creating: WebP/quality5/\n",
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            "  inflating: WebP/quality5/images/bus_030265ffe2e90f50.webp  \n",
            "   creating: WebP/quality5/labels/\n",
            "  inflating: WebP/quality5/labels/apple_001dd90fc5ae92c9_jpeg.rf.1e6916a5c6351692559ff0a33c2b388f.txt  \n",
            "  inflating: WebP/quality5/labels/apple_03ccabc3fbd3bb15_jpeg.rf.36f743fbaedaf47e60ef386dc5a55505.txt  \n",
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            "  inflating: WebP/quality5/labels/apple_08d2eed131f4b5d9_jpeg.rf.d1dabf84f2842e118bc13c9e26ac72f2.txt  \n",
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            "  inflating: WebP/quality5/labels/apple_0da61cd490c57814_jpeg.rf.f80356d6e3af673f1727b962ff9ed4ed.txt  \n",
            "  inflating: WebP/quality5/labels/apple_10628bb9eeafafbb_jpeg.rf.f600a400f89c3241d15d91ca4f1b4669.txt  \n",
            "  inflating: WebP/quality5/labels/apple_1124df73ba9c7557_jpeg.rf.fee333ff281a301855712f0187fdde67.txt  \n",
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            "  inflating: WebP/quality5/labels/apple_12cb37e374e3aee7_jpeg.rf.decb09797fc5de971c4c761549368196.txt  \n",
            "  inflating: WebP/quality5/labels/apple_12fb96c87a65c542_jpeg.rf.bc2983e70949079a6da2f1c90c6dab56.txt  \n",
            "  inflating: WebP/quality5/labels/apple_13628bbfec1fe2c3_jpeg.rf.bc0ce3dcae17372144cbc3153dd732bf.txt  \n",
            "  inflating: WebP/quality5/labels/apple_13c317f605023811_jpeg.rf.8f0d3cea63c7c1ae5c535a6238020e19.txt  \n",
            "  inflating: WebP/quality5/labels/apple_14a15a80b628f709_jpeg.rf.ec2a1f6b327fdff904364d7520251e85.txt  \n",
            "  inflating: WebP/quality5/labels/ball_0003d84e0165d630_jpeg.rf.e0663e812e0b9c19a207ddb0be1455b8.txt  \n",
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            "  inflating: WebP/quality5/labels/ball_05b47d2c71c4eff4_jpeg.rf.7e9af3194076501c863acb7a3622f325.txt  \n",
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            "  inflating: WebP/quality5/labels/bus_0b48a470997c7a9d_jpeg.rf.cb35e6d0cdceacc233990e742ba039d8.txt  \n",
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            "  inflating: WebP/quality5/labels/bus_0fc388dcebd4f56c_jpeg.rf.8b6058c8b67576a6fd5a98500631b748.txt  \n",
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            "  inflating: WebP/quality5/labels/cat_00567dcce4a5f7d9_jpeg.rf.065431a0633ff6fb43953e39fa7fe767.txt  \n",
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            "   creating: WebP/quality1/\n",
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            "   creating: WebP/quality1/labels/\n",
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            "   creating: WebP/quality3/labels/\n",
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            "  inflating: WebP/quality3/labels/elephant_0cf749b33136692b_jpeg.rf.fe85f99e5ac405d2101e5aeae5356d46.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_0d01927ad866d3e3_jpeg.rf.38705798efa038bd3aa418c2ddaa6ea2.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_140a529acb32f8d1_jpeg.rf.1eb2d9e26efa36db6234c5e4b13cc685.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_17621b23780f904b_jpeg.rf.723579767b98e9dff4e784cce18b0d5a.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_1a676e236a83f4ec_jpeg.rf.b5db45b4a4db1bb4a152a654ae37d78a.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_1de68e44f26155a7_jpeg.rf.fecacb0c7b12ee2ff20d790d6483a673.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_1ed11c2b3d750688_jpeg.rf.886b13103ab1c9a3b7f228b6cd299506.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_226693882e6bfe60_jpeg.rf.21574084a7fe2df4d681db29c4748f85.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_227de3a9e436ee64_jpeg.rf.64c3aafa75b7578acf89c3c698322d42.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_23b0adda16f66209_jpeg.rf.280a19bf9ee14428853d53983e9963eb.txt  \n",
            "  inflating: WebP/quality3/labels/elephant_23f8156c59c12be3_jpeg.rf.727ad1d9d26a0209b4844ed134e428b3.txt  \n",
            "  inflating: WebP/quality3/labels/person_000132c20b84269b_jpeg.rf.7f9cd91ee1d14ca9f4f125822a296d55.txt  \n",
            "  inflating: WebP/quality3/labels/person_00045d609ca3f4eb_jpeg.rf.19fefc508a2699f6c03774561dd1b612.txt  \n",
            "  inflating: WebP/quality3/labels/person_00108e3a60a46128_jpeg.rf.a35204d77dec1104597d0f41ff091f44.txt  \n",
            "  inflating: WebP/quality3/labels/person_001341ae9926808d_jpeg.rf.a33297c5001872e3e3be15369f039230.txt  \n",
            "  inflating: WebP/quality3/labels/person_0013a0927e6bbefc_jpeg.rf.fffa581da0a8f002f8692d48f73e0a8c.txt  \n",
            "  inflating: WebP/quality3/labels/person_0013bd1e79c796c0_jpeg.rf.06875eb6c6f389824b99ec5737c1cc00.txt  \n",
            "  inflating: WebP/quality3/labels/person_00183df6ffe09093_jpeg.rf.2e05149c3fa1c81e7e93f11c1cf2662a.txt  \n",
            "  inflating: WebP/quality3/labels/person_0019ac4eb659f57e_jpeg.rf.35f3c64b8255f2d991186b0a9734f551.txt  \n",
            "  inflating: WebP/quality3/labels/person_001f0b7197c54078_jpeg.rf.3442566f8aa1201740f8e9721a01d898.txt  \n",
            "  inflating: WebP/quality3/labels/person_00203708377265a0_jpeg.rf.dbfd8540829fbddb20bb423ea9730ff0.txt  \n",
            "  inflating: WebP/quality3/labels/person_002200be72145198_jpeg.rf.0bf141b34c7d597fd3f6b594799e74f5.txt  \n",
            "  inflating: WebP/quality3/labels/person_00229645efaf204f_jpeg.rf.ea0d5d4c03c16e286715a18af64268e6.txt  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IGQeTb3kwGGT"
      },
      "source": [
        "rm WebP.zip"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NT8SghZkwbYj",
        "outputId": "a574b6bc-3eee-41d9-88f8-639814768d12"
      },
      "source": [
        "cd .."
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/yolov5_upwork\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2UFaK7gfwf66",
        "outputId": "831b7593-eba2-457a-d8d8-d9a76516509a"
      },
      "source": [
        "cd yolov5/"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/yolov5_upwork/yolov5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pQJGC86xuktG",
        "outputId": "94fda365-4665-4d02-a796-a13a30b38f76"
      },
      "source": [
        "# Run YOLOv5s on test data using --task test\n",
        "!python3 test.py --weights /content/drive/MyDrive/yolov5_upwork/yolov5/runs/train/yolov5s_results/weights/best.pt --data ../test_data.yaml --task test"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Namespace(augment=False, batch_size=32, conf_thres=0.001, data='../test_data.yaml', device='', exist_ok=False, img_size=640, iou_thres=0.6, name='exp', project='runs/test', save_conf=False, save_hybrid=False, save_json=False, save_txt=False, single_cls=False, task='test', verbose=False, weights=['/content/drive/MyDrive/yolov5_upwork/yolov5/runs/train/yolov5s_results/weights/best.pt'])\n",
            "YOLOv5 v4.0-126-g886f1c0 torch 1.8.1+cu101 CPU\n",
            "\n",
            "Fusing layers... \n",
            "Model Summary: 232 layers, 7265397 parameters, 0 gradients, 16.8 GFLOPS\n",
            "\u001b[34m\u001b[1mtest: \u001b[0mScanning '../testing_files/WebP/quality1/labels' for images and labels... 110 found, 2 missing, 0 empty, 0 corrupted: 100% 112/112 [01:46<00:00,  1.05it/s]\n",
            "\u001b[34m\u001b[1mtest: \u001b[0mNew cache created: ../testing_files/WebP/quality1/labels.cache\n",
            "               Class      Images     Targets           P           R      mAP@.5  mAP@.5:.95: 100% 4/4 [00:53<00:00, 13.39s/it]\n",
            "                 all         112         191       0.453       0.375       0.393       0.198\n",
            "               apple         112          25       0.264        0.44       0.263       0.195\n",
            "                ball         112          31       0.373       0.452       0.236       0.157\n",
            "                bird         112          15       0.487       0.533       0.589        0.31\n",
            "                 bus         112          24       0.672       0.625       0.715       0.358\n",
            "                 cat         112          16       0.439       0.125        0.29      0.0806\n",
            "                 dog         112          16       0.854       0.438       0.643       0.283\n",
            "            elephant         112          18       0.537       0.387       0.401       0.196\n",
            "              person         112          46           0           0     0.00399     0.00157\n",
            "Speed: 455.3/1.4/456.7 ms inference/NMS/total per 640x640 image at batch-size 32\n",
            "Results saved to runs/test/exp6\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W9OHnS72vuba"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}