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Josh HawkinsandGitHub
4100383738
* fix recordings unavailable endpoint when no params are provided
we already import the datetime class directly, so those attribute lookups raised AttributeError and the request returned 500
* reject JWTs whose role is no longer in the config
`/auth` trusted the role inside the JWT and re-signed it on refresh without checking the config, so a user whose restricted role was deleted kept a session carrying a role that isn't in `auth.roles`. The media, clip, recording, export and go2rtc checks treat a missing role the same as a role with no camera list, so that session could open every camera. `/auth` now returns 401 for a token whose role isn't configured, which sends the user back through login, and login already falls back to `viewer` for a role that's gone.
* delete the deleted camera group's layout, not the open one's
Deleting a camera group removed the layout of the group being viewed, because the dialog's delete was bound to `${activeGroup}-draggable-layout`. It also cleared the saved group, and both ran before the `config/set` request whether or not it succeeded, so deleting one group while viewing another lost the open group's layout and left the deleted group's layout behind. The deleted group's own layout is now removed after a successful save, and the saved group is only cleared when it was the open group.
* don't block API when querying PTZ info
camera_ptz_info is async but waited on the ONVIF controller's future with future.result(), blocking the API event loop for as long as a slow or unreachable ONVIF camera took to answer (including reconnect attempts), so every other async request stalled with it. Await the future with asyncio.wrap_future instead. The coroutine runs on the controller's own loop and thread, so this cannot deadlock.
* for custom exports, only allow admin users to add to existing cases
follows the existing convention where attaching an export to an existing case is admin-only on `POST /export/{camera}/...` and `POST /exports/batch`
* drop pending edits for a camera or profile that no longer exists
* match cached preview frames to their camera exactly
https://github.com/blakeblackshear/frigate/pull/22594 added a trailing `-` to the `preview_{camera}` prefix so `camera` stopped matching `camera2`'s frames, but camera names can contain `-`, so `front` still matched `front-door`'s. After a restart, `front`'s preview recorder deleted this hour's frames of a matching camera that sorted before it and added the timestamps of one that sorted after it, so ffmpeg was asked for files that don't exist and that hour's preview was lost. The offline fallback for `latest.jpg` could also return `front-door`'s frame for `front`, even to a user without access to `front-door`, and a short export could take its fallback thumbnail from the other camera. These now compare the full camera name taken from the file name.
Frigate NVR™ - 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.
License
This project is licensed under the MIT License.
- Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
- Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.
Please see our Trademark Policy for details on acceptable use of our brand assets.
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.
Copyright © 2026 Frigate, Inc.