HandTracking

Python hand tracking module with MediaPipe - Detect hands, track fingers, measure distances, and recognize gestures in real-time

Hand Tracking Module

A Python-based hand tracking module using MediaPipe and OpenCV for real-time hand detection and gesture recognition.

Features

• 🖐️ Real-time hand detection and tracking
• 👆 Finger position detection (up/down state)
• 📏 Distance calculation between fingers
• 🎯 Hand landmark identification (21 points per hand)
• 📦 Reusable handDetector class for easy integration
• ⚡ High-performance tracking

Demo

The module can detect up to 2 hands simultaneously and provides:

• Hand landmarks with connections
• Bounding box around detected hands
• Individual finger state detection
• Distance measurements between any two landmarks
• Real-time FPS display

Requirements

• Python 3.7+
• OpenCV
• MediaPipe
• NumPy (installed with OpenCV)

Installation

1. Clone the repository:

git clone https://github.com/Divyansh0980/HandTracking
cd HandTracking

2. Install required packages:

pip install -r requirements.txt

Usage

Basic Usage

Run the demo script:

python HandTracking.py

Press q to quit the application.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• MediaPipe by Google for the hand tracking solution
• OpenCV for computer vision functionality

Project Link: https://github.com/Divyansh0980/HandTracking