1 Create a virtual environment with Python >=3.8

conda create -n py38 python=3.8    
conda activate py38   

2 Install pytorch >= 1.6.0, torchvision >= 0.7.0.

conda install pytorch torchvision cudatoolkit=10.1 -c pytorch

3 Install all dependencies

pip install -r requirements.txt

4 Download the yolov5 weight. I already put the yolov5s.pt inside. If you need other models, please go to official site of yolov5. and place the downlaoded .pt file under yolov5/weights/.
And I also aready downloaded the deepsort weights. You can also download it from here, and place ckpt.t7 file under deep_sort/deep/checkpoint/

# on video file
python main.py --input_path [VIDEO_FILE_NAME]

# on webcam 
python main.py --cam 0 --display

1. Yolov5_DeepSort_Pytorch
2. yolov5
3. deep_sort_pytorch
4. deep_sort

Note: please follow the LICENCE of YOLOv5!