Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-01-31 00:18:55 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
1,233 Commits 49 Branches 132 Tags 247 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
0044f73d7a
Go to file
Blake Blackshear 0044f73d7a armv7 compatibility
2022-04-16 09:08:10 -05:00
.devcontainer
.github Prepare mypy for typing checks 2022-04-15 07:01:43 -05:00
docker armv7 compatibility 2022-04-16 09:08:10 -05:00
docs Allow improve_contrast to be toggled via mqtt (#3011) 2022-04-16 08:52:02 -05:00
frigate Allow improve_contrast to be toggled via mqtt (#3011) 2022-04-16 08:52:02 -05:00
migrations
web FEAT: Ability to reorder & ability to hide Cameras in UI (#2981) 2022-04-15 07:23:02 -05:00
.dockerignore
.gitignore
.pylintrc
benchmark.py
docker-compose.yml
labelmap.txt
LICENSE
Makefile Prepare mypy for typing checks 2022-04-15 07:01:43 -05:00
process_clip.py
README.md
requirements-dev.txt
requirements-wheels.txt Prepare mypy for typing checks 2022-04-15 07:01:43 -05:00
requirements.txt

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 RTMP to reduce the number of connections to your camera

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