Hand Tracking using OpenCV and MediaPipe

This Python script utilizes OpenCV and MediaPipe to detect and track hands in real-time using a webcam feed.

Dependencies

Make sure you have the following dependencies installed:

• OpenCV (pip install opencv-python)
• MediaPipe (pip install mediapipe)

Usage

1. Clone this repository to your local machine.
2. Ensure you have Python installed on your system.
3. Install the required dependencies mentioned above.
4. Run the hand_tracking.py script.
5. A webcam window will open showing the real-time hand tracking. Landmarks and connections on detected hands will be highlighted, and the frame rate (FPS) will be displayed on the top left corner of the window.

Customization

You can customize the behavior of the hand detection and tracking by modifying the parameters in the handDetector class constructor (__init__() method) in the hand_tracking.py script. Parameters such as mode, maxHands, detectionCon, and trackCon can be adjusted according to your requirements.

Author

Chethiya Galkaduwa

License

This project is licensed under the MIT License.