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Nicolas Mowen 509e46adc8 Review segment UI (#9945 )

* Add ui for events

* Display data for review items

* Use preview thumbnails

* Implement paging

* Show icons for what was detected

* Show progress bar on preview thumbnail

* Hide the overlays on hover and update reviewed status

* Dim previews that have been reviewed

* Show audio icons

* Cleanup preview thumb player

* initial implementation of review timeline

* Use timeout for hover playback

* Break apart mobile and desktop views

* Show icons for sub labels

* autoplay first video on mobile

* Only show the last 24 hours by default

* Rework scrolling to fix nested scrolling

* Final scroll cleanups

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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

2024-02-21 13:07:32 -07:00

.devcontainer

Remove deprecated RTMP port 1935 (#9137 )

2024-01-31 12:56:11 +00:00

.github

another name fix (#9886 )

2024-02-16 06:51:19 -06:00

.vscode

Set User Agent for FFmpeg calls (#4555 )

2022-11-30 16:53:45 -06:00

config

Improve the devcontainer experience (#3492 )

2022-11-20 07:34:12 -06:00

docker

Update FFmpeg for Rockchip image (#9912 )

2024-02-20 23:21:24 +00:00

docs

fix typos (#9895 )

2024-02-17 16:01:50 -06:00

frigate

Review segment UI (#9945 )

2024-02-21 13:07:32 -07:00

migrations

Create ReviewSegment table in DB for organizing detections to be reviewed (#9918 )

2024-02-20 16:26:09 -07:00

web

Review segment UI (#9945 )

2024-02-21 13:07:32 -07:00

web-old

Merge remote-tracking branch 'origin/master' into dev

2024-02-14 18:20:55 -06:00

.dockerignore

Improve the devcontainer experience (#3492 )

2022-11-20 07:34:12 -06:00

.gitignore

Small autotracking changes (#9571 )

2024-02-02 06:23:14 -06:00

.pylintrc

use fstr log style

2021-02-25 07:01:59 -06:00

audio-labelmap.txt

Audio events (#6848 )

2023-07-01 08:18:33 -05:00

benchmark_motion.py

use a different method for blur and contrast to reduce CPU (#6940 )

2023-06-30 07:27:31 -05:00

benchmark.py

Add isort and ruff linter (#6575 )

2023-05-29 05:31:17 -05:00

CODEOWNERS

AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762 )

2024-02-10 06:41:46 -06:00

docker-compose.yml

Docs improvements (#8641 )

2023-11-18 08:04:43 -06:00

labelmap.txt

Cleanup Detector labelmap (#4932 )

2023-01-06 07:03:16 -06:00

LICENSE

switch to MIT license

2020-07-26 12:07:47 -05:00

Makefile

increment version

2024-01-31 06:23:54 -06:00

netlify.toml

Docs improvements (#8641 )

2023-11-18 08:04:43 -06:00

process_clip.py

Remove rtmp (#8941 )

2024-01-31 12:56:11 +00:00

pyproject.toml

Docs improvements (#8641 )

2023-11-18 08:04:43 -06:00

README.md

Clarify docs about rtmp (#5052 )

2023-01-13 07:20:25 -06:00

README.md

Frigate - NVR With Realtime Object Detection for IP Cameras

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 Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.

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