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Code Releases Activity

Miscellaneous Fixes (#20951)

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* 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>
This commit is contained in:
Josh Hawkins
2025-11-18 15:33:42 -07:00
committed by GitHub
co-authored by Nicolas Mowen
parent fbf4388b37
commit 213a1fbd00
12 changed files with 1114 additions and 905 deletions
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README.md
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A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator such as a [Google Coral](https://coral.ai/products/) or [Hailo](https://hailo.ai/) is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
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](https://docs.frigate.video/configuration/object_detectors/).
- Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary