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Nicolas Mowen dc44a6c3b4 Community Supported Boards Framework (#7114 )

* Make main frigate build non rpi specific and build rpi using base image

* Add boards to sidebar

* Fix docker build

* Fix docs build

* Update pr branch for testing

* remove target from rpi build

* Remove manual build

* Add push build for rpi

* fix typos, improve wording

* Add arm build for rpi

* Cleanup and add default github ref name

* Cleanup docker build file system

* Setup to use docker bake

* Add ci/cd for bake

* Fix path

* Fix devcontainer

* Set targets

* Fix build

* Fix syntax

* Add wheels target

* Move dev container to trt

* Update key and fix rpi local

* Move requirements files and set intermediate targets

* Add back --load

* Update docs for community board development

* Update installation docs to reflect different builds available

* Update docs with official and community supported headers

* Update codeowners docs

* Update docs

* Assemble main and standard builds

* Change order of pushes

* Remove community board after successful build

* Fix rpi bake file names

2023-07-23 16:45:29 -05:00

.devcontainer

Check ffmpeg version instead of checking for presence of BTBN_PATH (#7023 )

2023-07-06 07:35:26 -05:00

.github

Community Supported Boards Framework (#7114 )

2023-07-23 16:45:29 -05:00

.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

Community Supported Boards Framework (#7114 )

2023-07-23 16:45:29 -05:00

docs

Community Supported Boards Framework (#7114 )

2023-07-23 16:45:29 -05:00

frigate

Show status when mask is saved (#7212 )

2023-07-21 07:30:22 -05:00

migrations

Save average dBFS and retain segment with dBFS in motion mode (#7158 )

2023-07-14 19:05:14 -05:00

web

scroll camera list in camera/recordings route (#7195 )

2023-07-21 07:31:02 -05:00

.dockerignore

Improve the devcontainer experience (#3492 )

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

.gitignore

Migrate default database path from /media/frigate to /config (#5219 )

2023-04-23 11:35:40 -05:00

.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

docker-compose.yml

Community Supported Boards Framework (#7114 )

2023-07-23 16:45:29 -05:00

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

Community Supported Boards Framework (#7114 )

2023-07-23 16:45:29 -05:00

process_clip.py

Improve tracking (#6516 )

2023-05-31 08:12:43 -06:00

pyproject.toml

Fix bug introduced in new linter (#6754 )

2023-06-11 07:18:47 -05:00

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