MOT base on yolo3/yolo4+deepsort, different from the official use of numpy to implement sort, the sort here reimplemented with pytorch, so it running at GPU.
pytorch >= 1.3
torchvision >= 0.4.0
opencv-python >= 4.1
- Clone the repositorty
git clone https://github.com/GlassyWing/yolo_deepsort
- Download weights of yolo3 or yolo4
cd weights/
wget https://pjreddie.com/media/files/yolov3.weights
wget https://pjreddie.com/media/files/yolov3-tiny.weights
wget https://drive.google.com/file/d/1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT/view
- Download weights of DeepSort
# download ckpt.t7 from
https://drive.google.com/drive/folders/1xhG0kRH1EX5B9_Iz8gQJb7UNnn_riXi6 to this folder
- Run example
python video_deepsort.py
If you do not want to run the tracker, set the parameter tracker
to None
:
video_detector = VideoDetector(...
tracker=None)
Please read the tutorial.
This library does not contain a feasible training program, please refer to the training: