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Miscellaneous Fixes (#20951 )

* 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 8b15078005.

* update readme to link to object detector docs

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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

2025-11-18 15:33:42 -07:00

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Frigate - NVR With Realtime Object Detection for IP Cameras

English

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