Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-07-26 13:47:03 +02:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
1,702 Commits 57 Branches 140 Tags 368 MiB
TypeScript 49.3%
Python 46.6%
CSS 1.1%
C++ 0.8%
Shell 0.7%
Other 1.3%
82aa238eca
Go to file
Nicolas Mowen 82aa238eca
Add instructions for custom go2rtc build (#6333) 
* Add instructions for custom go2rtc build

* Fix numbering
2023-04-30 14:04:19 -06:00
.devcontainer
.github free up some disk space (#5644) 2023-03-05 09:14:11 -06:00
.vscode
config
docker Fix small warning not appearing in go2rtc logs in UI (#5882) 2023-03-30 20:03:42 -05:00
docs Add instructions for custom go2rtc build (#6333) 2023-04-30 14:04:19 -06:00
frigate Fix http-jpeg template insertion (#6291) 2023-04-28 07:11:01 -05:00
migrations
web [Rework RelativeModal] calculate available window height (#6000) 2023-04-14 07:14:28 -05:00
.dockerignore
.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
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
Makefile Nvidia TensorRT detector (#4718) 2022-12-30 10:53:17 -06:00
process_clip.py
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