General

This is the code we used to participate AI CITY CHALLANGE 2023. We used a YOLOv8 for detector and strongSORT for tracker.

Requirement

• For visualizing-web: pip install -r visualizing-web/requirements.txt
• For yolov8, refer this repo: https://github.com/ultralytics/ultralytics
• For strongSORT, refer this repo: https://github.com/kadirnar/strongsort-pip

Visualizing data

• If you want to visualize video, move videos to 'visualizing-web/static/data/bbox-video'
• Then, run the following command: python visualizing-web/app.py
• With folder frames, you can cut the video into frames and save them by the format: 001, 002, 003
• With folder static/data, you put your videos in.

Training

• To train yolov8, refer this repo: https://github.com/ultralytics/ultralytics'
• To train feature extractor of strongsort, refer this repo: https://github.com/kadirnar/strongsort-pip