YOLOv7_Segmentation_With_DeepSORT_Tracking.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Clonning the Github Repo"
      ],
      "metadata": {
        "id": "HvLU-0cmoRFZ"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "13PGxCmloKt3",
        "outputId": "6c36698f-969e-4bdd-f3f8-0399d839c26e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'yolov7-segmentation-with-DeepSORT-Tracking'...\n",
            "remote: Enumerating objects: 122, done.\u001b[K\n",
            "remote: Counting objects: 100% (1/1), done.\u001b[K\n",
            "remote: Total 122 (delta 0), reused 0 (delta 0), pack-reused 121\u001b[K\n",
            "Receiving objects: 100% (122/122), 9.62 MiB | 19.21 MiB/s, done.\n",
            "Resolving deltas: 100% (18/18), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/MuhammadMoinFaisal/yolov7-segmentation-with-DeepSORT-Tracking.git"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Setting the Current Directory"
      ],
      "metadata": {
        "id": "h9ZLoUUzoyAq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/yolov7-segmentation-with-DeepSORT-Tracking"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HU6AH7jcowmH",
        "outputId": "89686581-fc6c-4fc4-a01d-30a5b1a31ea0"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/yolov7-segmentation-with-DeepSORT-Tracking\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Downloading the DeepSORT Files From The Google Drive"
      ],
      "metadata": {
        "id": "uEToTOo6o_Qa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1BNZ1S5yflbQpbHeRM1fNeu_2WfuP17hJ&confirm=t\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kPb3hIZsoYPo",
        "outputId": "70d51948-6b5c-42c4-9192-a2cfcb3da749"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1BNZ1S5yflbQpbHeRM1fNeu_2WfuP17hJ&confirm=t\n",
            "To: /content/yolov7-segmentation-with-DeepSORT-Tracking/deep_sort_pytorch.zip\n",
            "100% 43.1M/43.1M [00:01<00:00, 28.7MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip /content/yolov7-segmentation-with-DeepSORT-Tracking/deep_sort_pytorch.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "loy705vHsWcE",
        "outputId": "6c7ccd10-799b-4285-e7f2-ca15e4b5e8bd"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /content/yolov7-segmentation-with-DeepSORT-Tracking/deep_sort_pytorch.zip\n",
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            "   creating: deep_sort_pytorch/deep_sort/sort/\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Downloading a Sample Video from the Google Drive"
      ],
      "metadata": {
        "id": "7htG_4OepVWC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1o-G_Fs-XtF_Nn_fQdri6GZWYtD_3_Ckw&confirm=t\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g33yEph3pVdy",
        "outputId": "8b7b1473-e473-4626-bdde-88b1e33cd8a0"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1o-G_Fs-XtF_Nn_fQdri6GZWYtD_3_Ckw&confirm=t\n",
            "To: /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4\n",
            "100% 82.7M/82.7M [00:02<00:00, 34.9MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Downloading the pretrained file yolov7-seg.pt"
      ],
      "metadata": {
        "id": "zWhOSXOas1Vd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown \"https://drive.google.com/uc?id=1wSutYBeqeSs7yudYRuxOqRC3eaJkAC1S&confirm=t\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZBB0L3GTsggK",
        "outputId": "2bab0da2-77ef-4f72-a5e3-8e6240a46cea"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1wSutYBeqeSs7yudYRuxOqRC3eaJkAC1S&confirm=t\n",
            "To: /content/yolov7-segmentation-with-DeepSORT-Tracking/yolov7-seg.pt\n",
            "100% 77.0M/77.0M [00:01<00:00, 40.0MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Install the Requirements"
      ],
      "metadata": {
        "id": "qFviadfBtLa8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -r requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sx-25P-BtKs0",
        "outputId": "58ea0e84-0191-4360-cbc6-046186df4fdb"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 9)) (6.0)\n",
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            "Requirement already satisfied: torch>=1.7.0 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 12)) (1.13.0+cu116)\n",
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            "Requirement already satisfied: psutil in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 39)) (5.4.8)\n",
            "Collecting thop>=0.1.1\n",
            "  Downloading thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)\n",
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            "Installing collected packages: thop\n",
            "Successfully installed thop-0.1.1.post2209072238\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## RUNNING THE SCRIPT"
      ],
      "metadata": {
        "id": "u85ve5eIpK3E"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!python segment/predict.py --source videosfinal.mp4 --weights yolov7-seg.pt --track"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "522quMG7pIdL",
        "outputId": "11e414c9-418b-4b42-abf3-9727f617c800"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1msegment/predict: \u001b[0mweights=['yolov7-seg.pt'], source=videosfinal.mp4, data=data/coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/predict-seg, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, names=data/coco.names, track=True\n",
            "Loading weights from deep_sort_pytorch/deep_sort/deep/checkpoint/ckpt.t7... Done!\n",
            "YOLOv5 🚀 710c2f6 Python-3.8.16 torch-1.13.0+cu116 CUDA:0 (Tesla T4, 15110MiB)\n",
            "\n",
            "Fusing layers... \n",
            "yolov7-iseg summary: 325 layers, 38268602 parameters, 0 gradients, 143.2 GFLOPs\n",
            "video 1/1 (1/3600) /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4: 384x640 1 person, 14 cars, 2 trucks, 41.4ms\n",
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            "video 1/1 (3494/3600) /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4: 384x640 1 person, 11 cars, 2 trucks, 38.2ms\n",
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            "video 1/1 (3593/3600) /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4: 384x640 17 cars, 2 trucks, 32.0ms\n",
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            "video 1/1 (3596/3600) /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4: 384x640 18 cars, 1 truck, 34.7ms\n",
            "video 1/1 (3597/3600) /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4: 384x640 18 cars, 1 truck, 34.7ms\n",
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            "video 1/1 (3600/3600) /content/yolov7-segmentation-with-DeepSORT-Tracking/videosfinal.mp4: 384x640 18 cars, 1 truck, 35.9ms\n",
            "Speed: 0.7ms pre-process, 34.6ms inference, 1.3ms NMS per image at shape (1, 3, 640, 640)\n",
            "Results saved to \u001b[1mruns/predict-seg/exp4\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!rm \"/content/result_compressed.mp4\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QunfSYMEttr1",
        "outputId": "6be41007-d159-4e0e-9d67-4d8c294423bf"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "rm: cannot remove '/content/result_compressed.mp4': No such file or directory\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Demo Video"
      ],
      "metadata": {
        "id": "Zl99jgt0tyhF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import HTML\n",
        "from base64 import b64encode\n",
        "import os\n",
        "\n",
        "# Input video path\n",
        "save_path = '/content/yolov7-segmentation-with-DeepSORT-Tracking/runs/predict-seg/exp3/videosfinal.mp4'\n",
        "\n",
        "# Compressed video path\n",
        "compressed_path = \"/content/result_compressed.mp4\"\n",
        "\n",
        "os.system(f\"ffmpeg -i {save_path} -vcodec libx264 {compressed_path}\")\n",
        "\n",
        "# Show video\n",
        "mp4 = open(compressed_path,'rb').read()\n",
        "data_url = \"data:video/mp4;base64,\" + b64encode(mp4).decode()\n",
        "HTML(\"\"\"\n",
        "<video width=400 controls>\n",
        "      <source src=\"%s\" type=\"video/mp4\">\n",
        "</video>\n",
        "\"\"\" % data_url)"
      ],
      "metadata": {
        "id": "kOoEs2O_tDbQ"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "H3l9dMqFu-08"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}