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:

• YOLOv8
• DeepSORT
• Streamlit
• PyTorch