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Nicolas Mowen 4e800e19ff Mobile recordings redesign (#10711 )

* Only show back button text on desktop

* Add mobile camera drawer to separate component

* Use bottom sheet for export on mobile

* Add intermediary mobile bottom sheet

* fix filter

* Fix mobile layout jumping

* Fix desktop vertical camera view

* Fix horizontal camera list

* Add overlay instead of using same button for timeline exports

* Don't use native hls for now

* Fix export bottom sheet

* Fix scrolling

* Simplify checks

* Adjust hls compat approach

* Fix events shadow

* Make corners consistent

* Make corners consistent

* fix max drawer height

* Use separate buttons for export control

* Add icons

* Fix list views

* Fix new items to review

* bottom padding on bottom sheets

* bottom padding on bottom sheets

2024-03-27 18:03:05 -05:00

.devcontainer

Remove deprecated RTMP port 1935 (#9137 )

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

.github

Bump dependabot/fetch-metadata from 1 to 2 (#10607 )

2024-03-24 19:55:15 -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

Bump pytz from 2023.3.post1 to 2024.1 in /docker/main (#9592 )

2024-03-25 18:08:31 -06:00

docs

Update docs deps (#10591 )

2024-03-21 12:52:45 -05:00

frigate

Improve restart timing (#10709 )

2024-03-27 10:03:13 -05:00

migrations

Add region count to database and use for motion activity (#10480 )

2024-03-15 09:29:22 -06:00

web

Mobile recordings redesign (#10711 )

2024-03-27 18:03:05 -05:00

.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