forked from Github/frigate
ecbf0410eb
* add genai to frigateconfig * add regenerate button if genai is enabled * add endpoint and new zmq pub/sub model * move publisher to app * dont override * logging * debug timeouts * clean up * clean up * allow saving of empty description * ensure descriptions can be empty * update search detail when results change * revalidate explore page on focus * global mutate hook * description websocket hook and dispatcher * revalidation and mutation * fix merge conflicts * update tests * fix merge conflicts * fix response message * fix response message * fix fastapi * fix test * remove log * json content * fix content response * more json content fixes * another one
Frigate - NVR With Realtime Object Detection for IP Cameras
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 Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS 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.