Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-12-19 19:06:16 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
752 Commits 62 Branches 127 Tags 239 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
9822d614e2
Go to file
Jason Hunter 9822d614e2 fix videojs bug when switching cameras, support recording delay, fix navigation highlight
2021-06-05 07:30:18 -05:00
.devcontainer
.github
docker
docs update HTTP API docs 2021-05-22 07:48:44 -05:00
frigate fix videojs bug when switching cameras, support recording delay, fix navigation highlight 2021-06-05 07:30:18 -05:00
migrations
nginx Initial Recordings UI 2021-06-05 07:30:18 -05:00
web fix videojs bug when switching cameras, support recording delay, fix navigation highlight 2021-06-05 07:30:18 -05:00
.dockerignore
.gitignore Use dataclasses for config handling 2021-05-23 20:38:57 -05:00
.pylintrc
benchmark.py
docker-compose.yml
labelmap.txt
LICENSE
Makefile
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