Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-11-21 19:07:46 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
613 Commits 60 Branches 126 Tags 151 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
b55bd1e027
Go to file
Blake Blackshear b55bd1e027 add param to reduce response sizes by excluding thumbnails in api response
2021-01-31 06:18:35 -06:00
.github docs: move docs to docusaurus 2021-01-26 21:40:33 -06:00
docker
docs add param to reduce response sizes by excluding thumbnails in api response 2021-01-31 06:18:35 -06:00
frigate add param to reduce response sizes by excluding thumbnails in api response 2021-01-31 06:18:35 -06:00
migrations
nginx first pass at subfilter for ingress support 2021-01-26 21:40:33 -06:00
web fix(web): reduce transferred/unused assets on html load 2021-01-29 06:27:32 -06:00
.dockerignore
.gitignore
benchmark.py
labelmap.txt
LICENSE
Makefile
README.md clarifying addon docs 2021-01-28 07:45:09 -06:00
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