README(en).md · sklink/流媒体摄像头PC服务端

# Hand Gesture Recognition App

This application is a Python-based system that utilizes MediaPipe for real-time hand gesture recognition. It connects to a video stream sent from a mobile device within the same local network, identifies hand gestures, and processes them for various interactive applications.

## Features

- **Real-time Hand Gesture Recognition:** Uses MediaPipe to detect and track hand landmarks in real-time.
- **Network Device Discovery:** Automatically detects video stream sources on the local network.
- **Interactive Interface:** Provides a user interface to select detected devices and view the video stream with gesture information overlay.

## Prerequisites

- Python 3.6 or higher
- Libraries: `mediapipe`, `opencv-python`, `websocket-client`, `zeroconf`
- A device broadcasting a video stream to the local network

## Installation

1. **Clone the Repository:**
   ```bash
   git clone https://github.com/yourusername/hand-gesture-recognition-app.git
   cd hand-gesture-recognition-app
   ```

2. **Install Dependencies:**
   ```bash
   pip install mediapipe opencv-python websocket-client zeroconf
   ```

3. **Run the Application:**
   ```bash
   python main.py
   ```

## Usage

1. Ensure that the video streaming device (smartphone) and the PC are on the same local network.
2. Run the application. It will automatically start discovering available devices.
3. Select the desired video stream from the list of detected devices.
4. The application will display the video and overlay detected hand gestures.

## Contributing

Contributions to improve the app are welcome. Please fork the repository and submit a pull request.

## License

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

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