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* Implement extraction of images for classification state models * Add object classification dataset preparation * Add first step wizard * Update i18n * Add state classification image selection step * Improve box handling * Add object selector * Improve object cropping implementation * Fix state classification selection * Finalize training and image selection step * Cleanup * Design optimizations * Cleanup mobile styling * Update no models screen * Cleanups and fixes * Fix bugs * Improve model training and creation process * Cleanup * Dynamically add metrics for new model * Add loading when hitting continue * Improve image selection mechanism * Remove unused translation keys * Adjust wording * Add retry button for image generation * Make no models view more specific * Adjust plus icon * Adjust form label * Start with correct type selected * Cleanup sizing and more font colors * Small tweaks * Add tips and more info * Cleanup dialog sizing * Add cursor rule for frontend * Cleanup * remove underline * Lazy loading
Frigate - NVR With Realtime Object Detection for IP Cameras
[English] | 简体中文
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
- Tight integration with Home Assistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
Screenshots
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
