mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-09-26 19:41:29 +08:00
511542eaf8
* frigate+ pane i18n fix * catch more exceptions * explore search result tooltip i18n fix * i18n fix * remove comments about deprecated strftime_fmt * Catch producers exists but is None * Formatting * fix live camera view i18n * Add default role config for proxy users This allows users to specify a default role for users when using a proxy for auth. This can be useful for users who can't/don't want to define a header mapping for the remote-role header. * update reference config and auth docs * clarify face rec camera level config * clarify auth docs * Fix onnx not working with openvino * Update openvino to fix failed npu plugin check --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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.
