forked from Github/frigate
dc54981784
* Moved FrigateApp.init_config() into FrigateConfig.load() * Move frigate config loading into main * Store PlusApi in FrigateConfig * Register SIGTERM handler in main * Ensure logging is setup during config parsing * Removed pointless try * Moved config initialization out of FrigateApp * Made FrigateApp.shm_frame_count into a function * Removed log calls from signal handlers python's logging calls are not re-entrant, which caused at least one of these to deadlock randomly. * Reopen stdout/err on process fork This helps avoid deadlocks (https://github.com/python/cpython/issues/91776). * Make mypy happy * Whoops. I might have forgotten to save. Truly an amateur mistake. * Always call FrigateApp.stop()
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.