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This project utilizes YOLOv9 and DeepSORT for object tracking, combined with a line-drawing feature to visualize the path of tracked objects.

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quzanh1130/Object_tracking_trackline

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Object Tracking with Trackline

This project utilizes YOLOv9 and DeepSORT for object tracking, combined with a line-drawing feature to visualize the path of tracked objects.

Reproductbility

1. Clone this project

git clone https://github.com/quzanh1130/Object_tracking_trackline.git
cd Object_tracking_trackline

2. Install package

pip install -r setup.txt

3. Run this project

  • --weights: model path or triton URL
  • --source: file/dir/URL/glob/screen/0(webcam)
  • --device: cuda device, i.e. 0 or 0,1,2,3 or cpu
  • --mode: mode show line or not. 0: not show, 1: show line
  python object_tracking.py --weights weight\yolov9-c-converted.pt --source data_ext/test.mp4 --device cuda --mode 1

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This project utilizes YOLOv9 and DeepSORT for object tracking, combined with a line-drawing feature to visualize the path of tracked objects.

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