VehicleTracking
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: