1. Clone the repository:

   git clone https://github.com/RizwanMunawar/yolov7-object-tracking.git

2. Navigate to the cloned folder:

   cd yolov7-object-tracking

3. Create a virtual environment (Recommended to avoid conflicts):

   For Anaconda:

   conda create -n yolov7objtracking python=3.10
   conda activate yolov7objtracking

   For Linux:

   python3 -m venv yolov7objtracking
   source yolov7objtracking/bin/activate

   For Windows:

   python3 -m venv yolov7objtracking
   cd yolov7objtracking/Scripts
   activate

4. Update pip and install dependencies:

   pip install --upgrade pip
   pip install -r requirements.txt

5. Run the script:

   Select the appropriate command based on your requirements. Pretrained yolov7 weights will be downloaded automatically if needed.

   • Detection only:

     python detect.py --weights yolov7.pt
     
     # If you want to use your own videos.
     python detect.py --weights yolov7.pt --source "your video.mp4"

   • Object tracking:

     python detect_and_track.py --weights yolov7.pt
     
     # If you want to use your own videos.
     python detect_and_track.py --weights yolov7.pt --source "your video.mp4"

   • Webcam:

     python detect_and_track.py --weights yolov7.pt --source 0

   • External Camera:

     python detect_and_track.py --weights yolov7.pt --source 1

   • IP Camera Stream:

     python detect_and_track.py --source "your IP Camera Stream URL" --device 0

   • Specific class tracking (e.g., person):

     python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --classes 0

   • Colored tracks:

     python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --colored-trk

   • Save track centroids, IDs, and bounding box coordinates:

     python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --save-txt --save-bbox-dim

6. Output files will be saved in working-dir/runs/detect/obj-tracking with the original filename.

YOLOv7 Detection Only	YOLOv7 Object Tracking with ID	YOLOv7 Object Tracking with ID and Label

• YOLOv7 GitHub
• SORT GitHub

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