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
1,431 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%
5ad391977e
Go to file
Nicolas Mowen 5ad391977e
FEAT: Storage API & Frontend (#3409) 
* Get storage output stats for each camera

* Add storage route

* Add storage route

* Add storage page

* Cleanup

* Add stats and show more storage

* Add tests for mb abbrev util fun

* Rewrite storage logic to use storage maintainer and segment sizes

* Include storage maintainer for http

* Use correct format

* Remove utils

* Fix tests

* Remove total from equation

* Multiply by 100 to get percent

* Add basic storage info

* Fix storage stats

* Fix endpoint and ui

* Fix formatting
2022-11-29 19:59:56 -06:00
.devcontainer Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.github fix image build (#4503) 2022-11-24 11:42:25 -06:00
config Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
docker Add GPU stats to the /stats API and debug screen (#3931) 2022-11-28 19:24:20 -06:00
docs FEAT: Support for ffmpeg presets (#3840) 2022-11-28 21:48:11 -06:00
frigate FEAT: Storage API & Frontend (#3409) 2022-11-29 19:59:56 -06:00
migrations Limit recording retention to available storage (#3942) 2022-10-09 06:28:26 -05:00
web FEAT: Storage API & Frontend (#3409) 2022-11-29 19:59:56 -06:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore feat: Timeline UI (#2830) 2022-02-27 08:04:12 -06:00
.pylintrc use fstr log style 2021-02-25 07:01:59 -06:00
benchmark.py Refactor to simplify support for additional detector types (#3656) 2022-11-03 21:23:09 -05:00
docker-compose.yml Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
Dockerfile Update python dependencies (#4500) 2022-11-24 10:47:45 -06:00
labelmap.txt refactor and reduce false positives 2020-09-17 07:37:27 -05:00
LICENSE switch to MIT license 2020-07-26 12:07:47 -05:00
Makefile Faster image builds with caching (#4491) 2022-11-23 20:00:45 -06:00
process_clip.py Refactor to simplify support for additional detector types (#3656) 2022-11-03 21:23:09 -05:00
README.md update docs url 2021-09-26 16:43:26 -05:00
requirements-dev.txt Easy Python Updates (#4424) 2022-11-18 06:33:10 -06:00
requirements-wheels.txt Update python dependencies (#4500) 2022-11-24 10:47:45 -06:00
requirements.txt Use requirement file for pip installs (#3090) 2022-04-12 07:21:21 -05:00

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 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