For everyones comes here from youtube or just want to use my repo for inference. This is an very old project just for learning Computer Vision when i was in school. It's been a long time so I forgot almost everything that I did in this toy project. I've editted from this repo and add some lines of code for some constraints. You guys can use that repo for references. Thanks.
Full result video HERE
The detections are generated by YOLOv5 are passed to Deep Sort algorithm which tracks the objects.
Python 3.7.12
pip install -r requirements.txt
settings/
config.yml deepsort.yml db_config.yml
cd application/main
python app_track.py
Results can be save to databse: upload_db in file config.yml
cd application/main
uvicorn app_API:app --host 0.0.0.0 --port 8000 --reload
