mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-12-10 00:07:21 -06:00
213a1fbd00
* ensure viewer roles are available in create user dialog * admin-only endpoint to return unmaksed camera paths and go2rtc streams * remove camera edit dropdown pushing camera editing from the UI to 0.18 * clean up camera edit form * rename component for clarity CameraSettingsView is now CameraReviewSettingsView * Catch case where user requsts clip for time that has no recordings * ensure emergency cleanup also sets has_clip on overlapping events improves https://github.com/blakeblackshear/frigate/discussions/20945 * use debug log instead of info * update docs to recommend tmpfs * improve display of in-progress events in explore tracking details * improve seeking logic in tracking details mimic the logic of DynamicVideoController * only use ffprobe for duration to avoid blocking fixes https://github.com/blakeblackshear/frigate/discussions/20737#discussioncomment-14999869 * Revert "only use ffprobe for duration to avoid blocking" This reverts commit 8b15078005aebcfc6062fd0f773d749e3f4a4ee8. * update readme to link to object detector docs --------- 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 is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.
- 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.
