YOLOv8_DeepSORT_TRACKING.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "##Download the Required Files"
      ],
      "metadata": {
        "id": "WzcbMCHaCakw"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wDYBXzAYBvg2",
        "outputId": "be58ef11-4561-443c-8fd9-b3891c800d9f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1stZZNGPzY4YUfKbM4fc0lsJ12s8i814b&confirm=t\n",
            "To: /content/ultralytics-main.zip\n",
            "\r  0% 0.00/966k [00:00<?, ?B/s]\r100% 966k/966k [00:00<00:00, 81.9MB/s]\n"
          ]
        }
      ],
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1stZZNGPzY4YUfKbM4fc0lsJ12s8i814b&confirm=t\"\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Checking the Current Directory and unzipping the downloaded files"
      ],
      "metadata": {
        "id": "wQf7oQ6-CrYb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cSq-Q5ivCiuS",
        "outputId": "51d7ad5c-f245-400d-d548-afdb8203ed7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip /content/ultralytics-main.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cWNkrxYvCvwi",
        "outputId": "16e0a7c6-e3e7-4901-ac84-6fc80f17479e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /content/ultralytics-main.zip\n",
            "88c9418087753395173486dc4a733997f41296b4\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Setting the Current Directory"
      ],
      "metadata": {
        "id": "PuJXtLs9C-tj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/ultralytics-main"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_0Cy9Q3hC0CI",
        "outputId": "d8f9fc3e-dec4-462b-e598-bec7ecf4a0d8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/ultralytics-main\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Install all the Dependencies"
      ],
      "metadata": {
        "id": "p4PQj_GXDMFb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -e '.[dev]'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hxERsChADIgc",
        "outputId": "0011f3f6-aa0f-4285-c9ec-a2dbd0867dc9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Obtaining file:///content/ultralytics-main\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting hydra-core>=1.2.0\n",
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            "\u001b[?25hRequirement already satisfied: matplotlib>=3.2.2 in /usr/local/lib/python3.8/dist-packages (from ultralytics==8.0.3) (3.2.2)\n",
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            "Building wheels for collected packages: antlr4-python3-runtime\n",
            "  Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144575 sha256=b100508423680ad76b7b4abd944f17fa691191a3c470fce3003c4dcf049f6a58\n",
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            "Successfully built antlr4-python3-runtime\n",
            "Installing collected packages: antlr4-python3-runtime, watchdog, smmap, requests, pyyaml-env-tag, pyproject_hooks, pygments, omegaconf, mkdocs-material-extensions, mergedeep, jinja2, jedi, coverage, colorama, thop, pytest-cov, markdown, hydra-core, griffe, gitdb, ghp-import, build, pymdown-extensions, mkdocs, GitPython, check-manifest, mkdocs-material, mkdocs-autorefs, ultralytics, mkdocstrings, mkdocstrings-python\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.25.1\n",
            "    Uninstalling requests-2.25.1:\n",
            "      Successfully uninstalled requests-2.25.1\n",
            "  Attempting uninstall: pygments\n",
            "    Found existing installation: Pygments 2.6.1\n",
            "    Uninstalling Pygments-2.6.1:\n",
            "      Successfully uninstalled Pygments-2.6.1\n",
            "  Attempting uninstall: jinja2\n",
            "    Found existing installation: Jinja2 2.11.3\n",
            "    Uninstalling Jinja2-2.11.3:\n",
            "      Successfully uninstalled Jinja2-2.11.3\n",
            "  Attempting uninstall: markdown\n",
            "    Found existing installation: Markdown 3.4.1\n",
            "    Uninstalling Markdown-3.4.1:\n",
            "      Successfully uninstalled Markdown-3.4.1\n",
            "  Running setup.py develop for ultralytics\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "notebook 5.7.16 requires jinja2<=3.0.0, but you have jinja2 3.1.2 which is incompatible.\n",
            "flask 1.1.4 requires Jinja2<3.0,>=2.10.1, but you have jinja2 3.1.2 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed GitPython-3.1.30 antlr4-python3-runtime-4.9.3 build-0.10.0 check-manifest-0.49 colorama-0.4.6 coverage-7.0.5 ghp-import-2.1.0 gitdb-4.0.10 griffe-0.25.3 hydra-core-1.3.1 jedi-0.18.2 jinja2-3.1.2 markdown-3.3.7 mergedeep-1.3.4 mkdocs-1.4.2 mkdocs-autorefs-0.4.1 mkdocs-material-9.0.4 mkdocs-material-extensions-1.1.1 mkdocstrings-0.19.1 mkdocstrings-python-0.8.3 omegaconf-2.3.0 pygments-2.14.0 pymdown-extensions-9.9.1 pyproject_hooks-1.0.0 pytest-cov-2.9.0 pyyaml-env-tag-0.1 requests-2.28.1 smmap-5.0.0 thop-0.1.1.post2209072238 ultralytics-8.0.3 watchdog-2.2.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Moving to the Required Directory"
      ],
      "metadata": {
        "id": "i4-h2jwWDXU6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/ultralytics-main/ultralytics/yolo/v8/detect"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sWXs2RdKDnqB",
        "outputId": "df2f4de9-d7c8-4517-abdc-e55384eca702"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/ultralytics-main/ultralytics/yolo/v8/detect\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##To implement the DeepSORT tracking, downloading the required files "
      ],
      "metadata": {
        "id": "oEUtstJcDqz0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=11ZSZcG-bcbueXZC3rN08CM0qqX3eiHxf&confirm=t\"\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5FuD6jDfDSoU",
        "outputId": "66e7654f-f0f3-4d14-c1ee-e3b2355c5dc5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=11ZSZcG-bcbueXZC3rN08CM0qqX3eiHxf&confirm=t\n",
            "To: /content/ultralytics-main/ultralytics/yolo/v8/detect/deep_sort_pytorch.zip\n",
            "100% 43.1M/43.1M [00:00<00:00, 88.3MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Unzipping the DeepSORT Files"
      ],
      "metadata": {
        "id": "qFpopDEED61b"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip 'deep_sort_pytorch.zip'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uLmlRpFdD1su",
        "outputId": "503b5902-2a7a-4069-b891-f75cbfdbb377"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Download a Sample Video for Testing from Google Drive"
      ],
      "metadata": {
        "id": "PUb4g3erEArb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown https://drive.google.com/uc?id=19P9Cf9UiJ9gU9KHnAfud6hrFOgobETTX\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3QKR7ueED-CF",
        "outputId": "b0ecebeb-4a31-443a-a0f1-835622d23949"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=19P9Cf9UiJ9gU9KHnAfud6hrFOgobETTX\n",
            "To: /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4\n",
            "\r  0% 0.00/1.99M [00:00<?, ?B/s]\r100% 1.99M/1.99M [00:00<00:00, 102MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Downloading the Script Files for Tracking from Google Drive"
      ],
      "metadata": {
        "id": "b-9s9yqGEJaK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1Z5yNo0hnY9cvT6SaHhUYcdsjLd2woVN5&confirm=t\"\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1I1joC5eEFmm",
        "outputId": "24cd90ec-5d79-4607-976e-dfd133739cbc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1Z5yNo0hnY9cvT6SaHhUYcdsjLd2woVN5&confirm=t\n",
            "To: /content/ultralytics-main/ultralytics/yolo/v8/detect/tracking.py\n",
            "\r  0% 0.00/10.1k [00:00<?, ?B/s]\r100% 10.1k/10.1k [00:00<00:00, 9.63MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Lets Run the Script"
      ],
      "metadata": {
        "id": "xrxzHtFkElir"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!python tracking.py source=\"test1.mp4\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qesy8lPaEaXW",
        "outputId": "f645f095-084c-4755-9fe4-b58beab3a86a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2023-01-12 13:01:57,657][root.tracker][INFO] - Loading weights from deep_sort_pytorch/deep_sort/deep/checkpoint/ckpt.t7... Done!\n",
            "Ultralytics YOLOv8.0.3 🚀 Python-3.8.16 torch-1.13.1+cu116 CPU\n",
            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt to yolov8n.pt...\n",
            "100% 6.24M/6.24M [00:00<00:00, 22.3MB/s]\n",
            "\n",
            "Fusing layers... \n",
            "YOLOv8n summary: 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs\n",
            "video 1/1 (1/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 6 traffic lights, 293.8ms\n",
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            "video 1/1 (89/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 2 traffic lights, 188.6ms\n",
            "video 1/1 (90/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 1 bicycle, 3 traffic lights, 1 handbag, 183.5ms\n",
            "video 1/1 (91/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 1 bicycle, 4 traffic lights, 188.2ms\n",
            "video 1/1 (92/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 3 traffic lights, 189.7ms\n",
            "video 1/1 (93/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 4 traffic lights, 201.2ms\n",
            "video 1/1 (94/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 4 traffic lights, 1 backpack, 209.2ms\n",
            "video 1/1 (95/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 3 traffic lights, 187.9ms\n",
            "video 1/1 (96/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 4 traffic lights, 181.1ms\n",
            "video 1/1 (97/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 3 traffic lights, 190.2ms\n",
            "video 1/1 (98/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 24 persons, 4 traffic lights, 209.0ms\n",
            "video 1/1 (99/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 26 persons, 3 traffic lights, 202.8ms\n",
            "video 1/1 (100/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 2 traffic lights, 209.6ms\n",
            "video 1/1 (101/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 3 traffic lights, 181.9ms\n",
            "video 1/1 (102/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 26 persons, 3 traffic lights, 192.6ms\n",
            "video 1/1 (103/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 29 persons, 3 traffic lights, 177.3ms\n",
            "video 1/1 (104/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 25 persons, 3 traffic lights, 179.7ms\n",
            "video 1/1 (105/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 3 traffic lights, 183.7ms\n",
            "video 1/1 (106/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 28 persons, 3 traffic lights, 189.9ms\n",
            "video 1/1 (107/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 24 persons, 3 traffic lights, 224.1ms\n",
            "video 1/1 (108/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 3 traffic lights, 175.6ms\n",
            "video 1/1 (109/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 2 traffic lights, 1 backpack, 208.5ms\n",
            "video 1/1 (110/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 25 persons, 3 traffic lights, 216.2ms\n",
            "video 1/1 (111/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 3 traffic lights, 196.5ms\n",
            "video 1/1 (112/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 3 traffic lights, 190.5ms\n",
            "video 1/1 (113/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 1 bicycle, 3 traffic lights, 1 backpack, 186.8ms\n",
            "video 1/1 (114/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 1 bicycle, 3 traffic lights, 203.2ms\n",
            "video 1/1 (115/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 5 traffic lights, 204.8ms\n",
            "video 1/1 (116/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 4 traffic lights, 1 handbag, 188.7ms\n",
            "video 1/1 (117/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 1 bicycle, 2 traffic lights, 194.4ms\n",
            "video 1/1 (118/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 4 traffic lights, 219.1ms\n",
            "video 1/1 (119/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 3 traffic lights, 206.0ms\n",
            "video 1/1 (120/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 1 traffic light, 1 handbag, 198.0ms\n",
            "video 1/1 (121/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 1 bus, 1 traffic light, 1 backpack, 1 handbag, 181.6ms\n",
            "video 1/1 (122/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 9 persons, 1 bus, 2 traffic lights, 196.9ms\n",
            "video 1/1 (123/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 10 persons, 2 traffic lights, 200.3ms\n",
            "video 1/1 (124/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 8 persons, 1 truck, 216.6ms\n",
            "video 1/1 (125/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 6 persons, 189.9ms\n",
            "video 1/1 (126/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 4 persons, 1 truck, 194.8ms\n",
            "video 1/1 (127/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 7 persons, 1 traffic light, 209.3ms\n",
            "video 1/1 (128/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 9 persons, 1 traffic light, 190.1ms\n",
            "video 1/1 (129/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 12 persons, 203.5ms\n",
            "video 1/1 (130/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 12 persons, 1 traffic light, 201.2ms\n",
            "video 1/1 (131/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 16 persons, 1 truck, 3 traffic lights, 211.4ms\n",
            "video 1/1 (132/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 13 persons, 6 traffic lights, 208.1ms\n",
            "video 1/1 (133/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 2 traffic lights, 192.6ms\n",
            "video 1/1 (134/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 4 traffic lights, 201.6ms\n",
            "video 1/1 (135/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 5 traffic lights, 1 backpack, 181.8ms\n",
            "video 1/1 (136/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 4 traffic lights, 188.4ms\n",
            "video 1/1 (137/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 3 traffic lights, 206.7ms\n",
            "video 1/1 (138/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 4 traffic lights, 194.9ms\n",
            "video 1/1 (139/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 3 traffic lights, 187.0ms\n",
            "video 1/1 (140/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 4 traffic lights, 193.3ms\n",
            "video 1/1 (141/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 4 traffic lights, 216.9ms\n",
            "video 1/1 (142/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 4 traffic lights, 196.6ms\n",
            "video 1/1 (143/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 3 traffic lights, 201.8ms\n",
            "video 1/1 (144/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 1 motorcycle, 3 traffic lights, 202.9ms\n",
            "video 1/1 (145/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 1 motorcycle, 4 traffic lights, 1 handbag, 192.7ms\n",
            "video 1/1 (146/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 16 persons, 1 motorcycle, 3 traffic lights, 1 backpack, 1 handbag, 211.1ms\n",
            "video 1/1 (147/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 1 bicycle, 1 motorcycle, 2 traffic lights, 1 backpack, 283.0ms\n",
            "video 1/1 (148/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 1 bicycle, 3 traffic lights, 1 backpack, 207.7ms\n",
            "video 1/1 (149/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 14 persons, 1 bicycle, 1 motorcycle, 2 traffic lights, 197.5ms\n",
            "video 1/1 (150/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 1 bicycle, 3 traffic lights, 199.1ms\n",
            "video 1/1 (151/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 1 bicycle, 2 traffic lights, 198.5ms\n",
            "video 1/1 (152/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 3 traffic lights, 1 handbag, 200.5ms\n",
            "video 1/1 (153/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 1 traffic light, 2 backpacks, 192.0ms\n",
            "video 1/1 (154/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 2 traffic lights, 190.1ms\n",
            "video 1/1 (155/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 1 bicycle, 2 traffic lights, 1 backpack, 207.4ms\n",
            "video 1/1 (156/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 1 traffic light, 1 backpack, 1 potted plant, 198.3ms\n",
            "video 1/1 (157/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 1 bicycle, 1 traffic light, 204.2ms\n",
            "video 1/1 (158/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 1 traffic light, 196.7ms\n",
            "video 1/1 (159/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 14 persons, 1 traffic light, 1 backpack, 194.1ms\n",
            "video 1/1 (160/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 1 car, 2 traffic lights, 211.3ms\n",
            "video 1/1 (161/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 1 car, 2 traffic lights, 1 backpack, 2 handbags, 189.1ms\n",
            "video 1/1 (162/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 14 persons, 1 car, 4 traffic lights, 2 handbags, 1 potted plant, 198.9ms\n",
            "video 1/1 (163/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 1 car, 3 traffic lights, 1 backpack, 201.3ms\n",
            "video 1/1 (164/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 1 car, 2 traffic lights, 1 backpack, 192.1ms\n",
            "video 1/1 (165/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 1 car, 3 traffic lights, 1 backpack, 190.1ms\n",
            "video 1/1 (166/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 3 traffic lights, 2 backpacks, 1 handbag, 205.0ms\n",
            "video 1/1 (167/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 21 persons, 2 traffic lights, 1 backpack, 1 handbag, 190.5ms\n",
            "video 1/1 (168/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 3 traffic lights, 188.4ms\n",
            "video 1/1 (169/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 2 bicycles, 5 traffic lights, 1 handbag, 204.6ms\n",
            "video 1/1 (170/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 2 traffic lights, 206.9ms\n",
            "video 1/1 (171/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 13 persons, 1 traffic light, 1 handbag, 200.3ms\n",
            "video 1/1 (172/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 4 traffic lights, 1 backpack, 191.3ms\n",
            "video 1/1 (173/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 16 persons, 3 traffic lights, 213.4ms\n",
            "video 1/1 (174/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 3 traffic lights, 226.1ms\n",
            "video 1/1 (175/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 3 traffic lights, 1 handbag, 191.9ms\n",
            "video 1/1 (176/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 16 persons, 3 traffic lights, 1 backpack, 1 handbag, 202.1ms\n",
            "video 1/1 (177/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 4 traffic lights, 191.0ms\n",
            "video 1/1 (178/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 15 persons, 4 traffic lights, 196.4ms\n",
            "video 1/1 (179/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 17 persons, 3 traffic lights, 1 handbag, 185.8ms\n",
            "video 1/1 (180/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 4 traffic lights, 186.1ms\n",
            "video 1/1 (181/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 3 traffic lights, 177.9ms\n",
            "video 1/1 (182/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 3 traffic lights, 180.3ms\n",
            "video 1/1 (183/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 4 traffic lights, 201.9ms\n",
            "video 1/1 (184/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 2 traffic lights, 191.1ms\n",
            "video 1/1 (185/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 18 persons, 2 traffic lights, 1 handbag, 200.4ms\n",
            "video 1/1 (186/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 22 persons, 2 traffic lights, 1 handbag, 179.4ms\n",
            "video 1/1 (187/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 19 persons, 3 traffic lights, 195.7ms\n",
            "video 1/1 (188/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 2 traffic lights, 200.7ms\n",
            "video 1/1 (189/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 23 persons, 3 traffic lights, 1 handbag, 212.1ms\n",
            "video 1/1 (190/190) /content/ultralytics-main/ultralytics/yolo/v8/detect/test1.mp4: 384x640 20 persons, 5 traffic lights, 1 backpack, 189.0ms\n",
            "Speed: 1.7ms pre-process, 195.7ms inference, 2.9ms postprocess per image at shape (1, 3, 640, 640)\n",
            "Results saved to \u001b[1mruns/detect/train\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Display the Demo Video"
      ],
      "metadata": {
        "id": "oT1NDwMpEwHO"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Downloading the Script Files for Tracking and Vehicle Counting from Google Drive\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "ehYcKyOxE48T"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1B20vjRhBMylubWVUqWD5wr1KmcbPw2eI&confirm=t\"\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gZ7oe-QwE8X5",
        "outputId": "f213391e-a7e2-458c-d6a1-1dc104c1e628"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1B20vjRhBMylubWVUqWD5wr1KmcbPw2eI&confirm=t\n",
            "To: /content/ultralytics-main/ultralytics/yolo/v8/detect/tracking_vehicle_counting.py\n",
            "\r  0% 0.00/12.5k [00:00<?, ?B/s]\r100% 12.5k/12.5k [00:00<00:00, 13.1MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Download the Demo Video"
      ],
      "metadata": {
        "id": "V5GVy8nWFVL8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t\"\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9GNKoidnFZL0",
        "outputId": "96356a8f-4570-4fbe-80bc-7dbce431bf17"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t\n",
            "To: /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4\n",
            "\r  0% 0.00/4.98M [00:00<?, ?B/s]\r100% 4.98M/4.98M [00:00<00:00, 94.9MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python tracking_vehicle_counting.py source=\"test3.mp4\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rg-rIBOwFGd8",
        "outputId": "2e3c9a22-49bc-4961-f4bd-8bd6b489304d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2023-01-12 13:08:10,803][root.tracker][INFO] - Loading weights from deep_sort_pytorch/deep_sort/deep/checkpoint/ckpt.t7... Done!\n",
            "Ultralytics YOLOv8.0.3 🚀 Python-3.8.16 torch-1.13.1+cu116 CPU\n",
            "Fusing layers... \n",
            "YOLOv8n summary: 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs\n",
            "video 1/1 (1/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 1 car, 196.3ms\n",
            "video 1/1 (2/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 1 car, 189.2ms\n",
            "video 1/1 (3/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 1 car, 160.3ms\n",
            "video 1/1 (4/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 1 car, 152.3ms\n",
            "video 1/1 (5/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 158.4ms\n",
            "video 1/1 (6/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 179.6ms\n",
            "video 1/1 (7/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 188.5ms\n",
            "video 1/1 (8/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 185.5ms\n",
            "video 1/1 (9/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 180.7ms\n",
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            "video 1/1 (499/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 4 cars, 1 train, 268.4ms\n",
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            "video 1/1 (502/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 4 cars, 1 bus, 1 train, 278.5ms\n",
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            "video 1/1 (505/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 3 cars, 1 bus, 1 train, 210.6ms\n",
            "video 1/1 (506/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 3 cars, 1 train, 185.9ms\n",
            "video 1/1 (507/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 1 train, 190.8ms\n",
            "video 1/1 (508/508) /content/ultralytics-main/ultralytics/yolo/v8/detect/test3.mp4: 384x640 2 cars, 1 train, 182.2ms\n",
            "Speed: 1.5ms pre-process, 191.2ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)\n",
            "Results saved to \u001b[1mruns/detect/train2\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "JGR8tiSjIT93"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}