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Vehicle Tracking using YOLOv8 and DeepSORT

This is a vehicle tracking project that uses YOLOv8 for object detection and DeepSORT for tracking the detected vehicles. The project also has a GUI built using Streamlit, which makes it easy to use and visualize the results.

Usage

You can view or test app at: https://vehicletracking.streamlit.app

This project is built using following resources

  • Python 3
  • YOLO v8
  • DeepSORT
  • PyTorch
  • OpenCV
  • Streamlit

Run the following command to start the Streamlit app:

streamlit run main.py

You can now open the app in your web browser at localhost:8051.

The app provides the following functionality:

  • Detect Vehicle from image
  • Track vehicles from video
  • Count Vehicle (in/out) from video

References

This project is using following resources: