mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-09-25 10:46:51 +03:00
Josh HawkinsandGitHub
06967fec91
* fix explore paging for non-date sorts Explore paged every sort by passing the last row's `start_time` as a `before` or `after` cursor, which only works when rows are ordered by `start_time`. For score, speed, and relevance sorts, each page dropped every match newer than that row and repeated older rows from earlier pages, so infinite scroll stopped after a few pages. `/events` and `/events/search` now accept `offset`, and Explore pages non-date sorts by offset. Date sorts keep the cursor because `useSWRInfinite` only revalidates the first page, and cursor keys for later pages follow it while offset keys don't. Score and speed sorts on `/events` break ties on `id` so offset pages stay stable. * order search ties by id and reject negative offsets `/events/search` sorted in Python over a query with no `ORDER BY`, so tied scores, speeds, or distances kept whatever order SQLite returned, which isn't guaranteed to match across page requests. The query is now ordered by id and the stable sorts keep that order for ties. `offset` also accepted negative values, which sliced from the end of the search results.
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.