A Flask-based web streaming solution for Raspberry Pi cameras using PiCamera2
Project description
PiCamera2 Web Streamer
A Flask-based web streaming solution for Raspberry Pi cameras using PiCamera2. Stream your Raspberry Pi camera feed securely over HTTPS with minimal latency.
Features
- Real-time MJPEG streaming over HTTPS
- Adaptive frame rate based on client connections
- Clean shutdown handling
- Mobile-responsive web interface
- Thread-safe implementation
- Configurable camera parameters
- Resource-efficient with multiple client support
Prerequisites
- Raspberry Pi (tested on Raspberry Pi 4)
- Raspberry Pi Camera Module
- Python 3.7+
- picamera2
- OpenCV
- Flask
Installation
Via pip
pip install picamera2-webstream
Quick Installation
For a quick automated installation:
git clone https://github.com/yourusername/picamera2-webstream.git
cd picamera2-webstream
./install.sh
The installation script will:
- Install all required system dependencies
- Enable the camera interface
- Set up a Python virtual environment
- Install Python package dependencies
- Generate SSL certificates
- Add your user to the video group
- Verify camera detection
After installation completes:
- Log out and log back in (required for video group access)
- Activate the virtual environment:
source venv/bin/activate
- Run the example:
python examples/basic_stream.py
- Open
https://your-pi-ip
in your browser
To uninstall:
./uninstall.sh
Usage
- Basic usage:
from picamera2_webstream import VideoStream
from flask import Flask
app = Flask(__name__)
stream = VideoStream()
stream.start()
if __name__ == '__main__':
app.run(host='0.0.0.0', port=443, ssl_context=('cert.pem', 'key.pem'))
- Access the stream:
- Open your browser and navigate to
https://your-pi-ip
- Accept the self-signed certificate warning
- View your camera stream!
Camera Configuration
Automatic Configuration
To find the optimal settings for your camera, run the diagnostic tool:
python examples/camera_diagnostics.py
This will:
- Detect all available cameras
- Show detailed camera capabilities
- Test different resolutions and formats
- Measure actual achievable framerates
- Suggest optimal configuration settings
Manual Configuration
You can customize various parameters when initializing the VideoStream:
stream = VideoStream(
resolution=(1280, 720), # Width x Height
framerate=30, # Target framerate
format="MJPEG", # Video format
brightness=0.0, # -1.0 to 1.0
contrast=1.0, # 0.0 to 2.0
saturation=1.0 # 0.0 to 2.0
)
Common camera settings:
- Resolution: Common values include (1920, 1080), (1280, 720), (640, 480)
- Format: Usually "MJPEG" for web streaming
- Framerate: Higher values (30+) for smooth video, lower values (15-) for reduced bandwidth
To see all available settings for your camera:
# List all video devices
v4l2-ctl --list-devices
# Show device capabilities (replace X with your device number)
v4l2-ctl -d /dev/videoX --all
# List supported formats
v4l2-ctl -d /dev/videoX --list-formats-ext
For USB cameras, you might also want to check:
# Show detailed USB device information
lsusb -v | grep -A 10 "Video"
Performance Considerations
- Higher resolutions and framerates require more CPU and bandwidth
- MJPEG format provides good quality with reasonable bandwidth usage
- If streaming over the internet, consider lower resolutions and framerates
- Monitor CPU usage and network bandwidth to find optimal settings
Development
If you want to modify the code:
- Create a development environment:
# Clone and enter the repository
git clone https://github.com/yourusername/picamera2-webstream.git
cd picamera2-webstream
# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate
# Install in editable mode
pip install -e .
- Run tests (once implemented):
pip install pytest
pytest
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Thanks to the picamera2 team for their excellent camera interface
- The Flask team for their lightweight web framework
Troubleshooting
Common issues and solutions:
-
Camera not detected:
- Ensure the camera is properly connected
- Check if the camera interface is enabled in
raspi-config
- Verify with
libcamera-hello
command
-
ImportError for picamera2:
- Make sure system packages are installed:
sudo apt install python3-libcamera python3-picamera2
- Ensure you're using the virtual environment
- Make sure system packages are installed:
-
SSL Certificate issues:
- Regenerate certificates if they've expired
- Ensure certificates are in the same directory as the script
-
Permission denied errors:
- Ensure your user is in the video group:
sudo usermod -a -G video $USER
- Logout and login again for group changes to take effect
- Ensure your user is in the video group:
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