Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-10-15 20:07:23 +02:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
728 Commits 48 Branches 124 Tags 144 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.4%
0f1bc40f00
Go to file
Blake Blackshear 0f1bc40f00 docs for core development
2021-02-25 07:01:59 -06:00
.devcontainer add devcontainer setup 2021-02-25 07:00:59 -06:00
.github Add paularmstrong to funding.yml 2021-02-24 20:58:44 -06:00
docker add devcontainer setup 2021-02-25 07:00:59 -06:00
docs docs for core development 2021-02-25 07:01:59 -06:00
frigate remove tmpfs_cache_size option 2021-02-25 07:01:59 -06:00
migrations formatting cleanup 2021-02-25 07:01:57 -06:00
nginx
web fix(web): ensure tooltips and menus don't cause scrollbar reflow 2021-02-25 06:34:36 -06:00
.dockerignore add devcontainer setup 2021-02-25 07:00:59 -06:00
.gitignore add devcontainer setup 2021-02-25 07:00:59 -06:00
.pylintrc use fstr log style 2021-02-25 07:01:59 -06:00
benchmark.py
docker-compose.yml add devcontainer setup 2021-02-25 07:00:59 -06:00
labelmap.txt
LICENSE
Makefile Update version 2021-02-25 07:00:57 -06:00
README.md
run.sh

README.md

logo

Frigate - NVR With Realtime Object Detection for IP Cameras

A complete and local NVR designed for HomeAssistant 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 HomeAssistant 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 clips of detected objects
  • 24/7 recording
  • Re-streaming via RTMP to reduce the number of connections to your camera

Documentation

View the documentation at https://blakeblackshear.github.io/frigate

Donations

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

Screenshots

Integration into HomeAssistant

Also comes with a builtin UI:

Events