Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-12-23 19:11:14 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
1,722 Commits 41 Branches 128 Tags 240 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
ac41b6e181
Go to file
Miguel Valenzuela ac41b6e181
Update Output Args Presets AAC (#8161) 
* Update Output Args Presets AAC

Upon researching the nuances of preset-record-generic-audio-copy & preset-record-generic-audio-aac

4c7ea01137/frigate/ffmpeg_presets.py (L341)
https://ffmpeg.org/ffmpeg.html#Main-options
https://stackoverflow.com/questions/70148683/will-ffmpeg-try-to-transcode-to-same-encoding

I'd suggest to disambiguate what these two do

* fix: lowercase
2023-10-19 17:14:56 -05:00
.devcontainer Set User Agent for FFmpeg calls (#4555) 2022-11-30 16:53:45 -06:00
.github free up some disk space (#5644) 2023-03-05 09:14:11 -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 fix build (#6668) 2023-06-01 06:30:41 -05:00
docs Update Output Args Presets AAC (#8161) 2023-10-19 17:14:56 -05:00
frigate Prevent recordings from being turned on if disabled in config (#6444) 2023-05-15 07:36:26 -05:00
migrations Limit recording retention to available storage (#3942) 2022-10-09 06:28:26 -05:00
web Prevent recordings from being turned on if disabled in config (#6444) 2023-05-15 07:36:26 -05:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore Merge remote-tracking branch 'origin/master' into dev 2022-12-17 18:07:01 -06:00
.pylintrc use fstr log style 2021-02-25 07:01:59 -06:00
benchmark.py Refactor to simplify support for additional detector types (#3656) 2022-11-03 21:23:09 -05:00
docker-compose.yml Nvidia TensorRT detector (#4718) 2022-12-30 10:53:17 -06:00
Dockerfile Add healthcheck for go2rtc service (#5545) 2023-02-19 13:11:12 -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 Update version to 0.12.1 (#6386) 2023-05-04 17:55:19 -05:00
process_clip.py Refactor to simplify support for additional detector types (#3656) 2022-11-03 21:23:09 -05:00
README.md Clarify docs about rtmp (#5052) 2023-01-13 07:20:25 -06:00
requirements-dev.txt easier python deps (#4827) 2022-12-30 16:43:32 -06:00
requirements-ov.txt Add OpenVino Detector (#3768) 2022-12-03 10:19:34 -06:00
requirements-tensorrt.txt Update library loading for tensorrt (#5087) 2023-01-14 13:14:27 -06:00
requirements-wheels.txt easier python deps (#4827) 2022-12-30 16:43:32 -06:00
requirements.txt easier python deps (#4827) 2022-12-30 16:43:32 -06:00

README.md

logo

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

Documentation

View the documentation at https://docs.frigate.video

Donations

If you would like to make a donation to support development, please use Github Sponsors.

Screenshots

Integration into Home Assistant

Also comes with a builtin UI:

Events