YouTube Camera Overlay Project

This project is designed to capture video from a PC camera, segment the person from the video feed, and overlay the segmented video onto a YouTube live stream in real-time.

Project Structure

youtube-camera-overlay
├── src
│   ├── main.py                # Entry point of the application
│   ├── video_processor.py      # Manages video capture and processing
│   ├── person_segmentation.py   # Segments the person from video frames
│   ├── youtube_integration.py   # Handles YouTube streaming integration
│   └── utils
│       └── image_utils.py      # Utility functions for image processing
├── models
│   └── README.md               # Documentation for machine learning models
├── static
│   └── styles.css              # CSS styles for the web application
├── templates
│   ├── index.html              # Main HTML template for the web app
│   └── stream.html             # HTML template for live video stream
├── requirements.txt            # Python dependencies for the project
├── config.yaml                 # Configuration settings for the application
└── README.md                   # Project documentation

Setup Instructions

1. Clone the repository:

   git clone https://github.com/yourusername/youtube-camera-overlay.git
   cd youtube-camera-overlay
   

2. Install dependencies: Ensure you have Python installed, then run:

   pip install -r requirements.txt
   

3. Configure the application: Edit config.yaml to set your video source and YouTube API keys.

4. Run the application: Execute the following command to start the web server:

   python src/main.py
   

5. Access the web interface: Open your web browser and navigate to http://localhost:5000 to start the video stream.

Usage Guidelines

• Use the web interface to start and stop the video stream.
• Ensure your camera is connected and accessible by the application.
• Follow the instructions on the web interface to integrate with your YouTube account for live streaming.

Contributing

Contributions are welcome! Please submit a pull request or open an issue for any enhancements or bug fixes.

License

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