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* check for a valid frame before using its shape With the camera offline, no preview frame, and `camera-error.jpg` missing, `latest_frame` read `frame.shape` before its `frame is None` check, so it raised `AttributeError` and answered 500 with a traceback instead of the intended "Unable to get valid frame". The check now runs first. * fix the has_clip self-heal for events with no recordings `vod_event` looked for a `(body, 404)` tuple, but `vod_ts` returns a `JSONResponse`, so the check never matched and an old event whose recordings are gone kept offering a clip that can't play. It now checks the response status code. * return 403 for a snapshot or thumbnail on another camera The broad `except Exception` handlers in `event_snapshot` and `event_thumbnail` caught the `HTTPException` from `require_camera_access`, so a restricted user asking for another camera's snapshot got a 404 instead of a 403, and for an object still being tracked the snapshot was rendered before the check ran. Both endpoints now look up the event and check access in their own block, the way the other endpoints do, so a denial propagates. * find DST transitions to the second `get_dst_transitions` probed the offset once every 24 hours from the start time and reported a change at the first probe after it, up to a day late, so events, review items and recordings near a transition were grouped into days with the old offset. A transition after the last daily probe wasn't found at all. The end of the range is probed too now, and a probe that sees the offset change bisects the interval to the second of the transition. * don't run page shortcuts for keys a dialog already handled Radix dismisses a dialog on Escape from a capture-phase keydown listener and calls `preventDefault()` without stopping propagation, so `useKeyboardListener` still ran the page's Escape shortcut: cancelling the delete dialog in the face library or a classification model also cleared the whole selection. Keys another shortcut hook handled still get through, since their listener order changes with every render. * fix train image filtering for a class with a dash The backend writes a class with a `-` as `_` in train file names, since it splits those names on `-`, while a dataset folder keeps the dash. Filtering the Train grid by `half-open` compared it with `half_open` and hid every attempt. Both sides are normalized the same way now. * don't edit a chat message while a reply streams The edit button stayed active while a reply streamed. `submitConversation` returns early while loading, but the message bubble still closed its editor, so the edit was silently lost. The edit button is hidden while a reply streams, and an editor that's already open keeps its draft with send disabled until the reply ends. * fix restart failing under non-root restart_frigate() called psutil.Process(1).terminate() to signal s6-svscan, but s6-svscan runs as root while frigate runs as uid 1000, so the call raised AccessDenied. That exception escaped every caller: the UI restart button dropped its websocket client, MQTT restart and Save & Restart just logged and did nothing, and the watchdog crashed its own monitoring thread on a dead detector. This catches AccessDenied and falls through to the existing SIGINT branch, which exits the process for s6 to restart it. * show runtime overrides in the settings form The settings form read a camera section's saved config value, but its dependent warnings (audio transcription requiring audio detection, snapshots requiring detect, etc.) read the live config instead. A runtime toggle from the live view, MQTT, or an active profile can turn a section off without touching yaml, and that override persists across restarts, so the Enable switch showed on while the warning said the feature wasn't enabled. This adds an "Overridden (Live)" badge to any field whose live value differs from what's saved, and swaps the affected warnings to runtime-specific wording when a runtime override is the actual cause instead of the config. * fix mobile overflowing icons in system due to new health pane * fix genai settings keeping a stale model and dropping roles after save Switching a GenAI entry's provider left the previous provider's model selected, so saving wrote a model the new provider doesn't serve. llama.cpp can't find that model in `/v1/models`, so the backend reported every capability as false for the entry, and once the save refetched `genai/models` the roles widget stripped `transcribe` from the form on its own. The section showed unsaved changes right after saving, and saving again would have dropped the role. Switching provider now clears the model, and the roles widget only strips a role for a model or provider picked in the form, since the entry-level capability flags only describe the saved model. A selected role stays visible when the provider can't confirm it, so it can still be switched off. The llama.cpp model list also no longer repeats a model whose alias matches its id, which is what `--alias` produces. * close onvif sessions on shutdown `OnvifController.close()` only stopped its event loop, so the aiohttp sessions each `ONVIFCamera` holds and the `_poll_config_updates` task were left to be garbage collected during interpreter shutdown, when their warnings can no longer be logged. Every restart ended with a run of `Unclosed client session` and `Task was destroyed but it is pending!` logging errors, which only became visible once restart started exiting the process itself under non-root. `close()` now closes each camera's client and cancels the tasks on the loop before stopping it. * fixes * fixes
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.