mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-07-25 21:29:01 +03:00
Josh HawkinsandGitHub
12dd242151
* fix calendars greying out the current day after midnight The cutoff for disabling future days was computed with setHours(getHours() + 24, -1, 0, 0), which is not "24 hours from now" but tomorrow at the current hour minus one minute. Between 00:00 and 00:59 that lands back on today, and react-day-picker matches range matchers by calendar day, so today itself was disabled, leaving the export dialog's start time stuck on the previous day. TimezoneAwareCalendar also added the configured timezone's raw UTC offset instead of its difference from the browser's, widening the broken window to several hours in negative-offset zones and letting future days through in positive-offset ones. Derive the current date in the display timezone once, then build each cutoff in the space its calendar uses: ReviewActivityCalendar passes timeZone to react-day-picker so its day cells are TZDate and need a real instant, while TimezoneAwareCalendar is handed pre-shifted dates and needs a local one. Also corrects the today prop, which was off by the browser's offset, and the truthiness check that treated a configured timezone of UTC as unset. * pin react-zoom-pan-pinch to 3.6.1 3.7.0 attaches a ResizeObserver to the transform wrapper and content unconditionally and clamps the pan position into the current bounds on every resize. The history player hides itself with display:none while scrubbing and while a new hour of recordings loads, so the observer measures it as 0x0, collapses the bounds to zero, and snaps a zoomed in view back to the top left corner. Zoom scale survives, only the position is lost. That observer was only created for centerOnInit in 3.4.4 through 3.6.1 and 4.0.0 reverted it again, so 3.7.0 is the only affected release. The caret is what picked it up during the React 19 upgrade, so pin the version exactly. Reported in #23807
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.