HRNet Pose Detection with NPU Acceleration

Real-time human pose estimation using Qualcomm Snapdragon X Elite NPU with MediaPipe fallback support.

🚀 Quick Start

1. Follow the Setup Guide to prepare your environment.
2. Use the application:

   # Process an image
   python main.py --image vitruvian-man.jpg --output result.jpg
   
   # Run with camera stream
   python main.py
   
   # Run camera stream with MediaPipe
   python main.py --mediapipe

📚 Documentation

Comprehensive documentation is available in the docs/ directory:

• Setup Guide - Detailed installation instructions
• Usage Guide - How to use the application and its features

🤝 Contributing

1. Fork the repository
2. Create feature branch
3. Add tests for new features
4. Ensure all tests pass
5. Update documentation in docs/
6. Submit pull request

📜 License

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