Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-12-23 19:11:14 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
1,272 Commits 41 Branches 128 Tags 240 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
de244d6873
Go to file
Nicolas Mowen de244d6873
Send mqtt message when motion is detected (#3152) 
* Send mqtt message when motion is detected

* Use object processing instead of passing mqtt client around

* Cleanup

* Formatting

* add comment

* Make off delay configurable.

* Handle updating each camera based on config off delay

* Formatting

* Update docker-compose.yml

* Fix processing issue

* Update mqtt docs

* Update main config docs

* Make sure multiple True values aren't published for the same motion

* Make sure multiple True values aren't published for the same motion

* Update payload to fit existing HA standard values

* Update docs to fit new values

* Update docs

* Update motion topic

* Use datetime.datetime and remove unused imports

* Cast to int

* Clarify motion detector behavior in docs

* Fix typo

Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
2022-05-15 07:03:33 -05:00
.devcontainer include prettier in extensions 2022-04-10 09:11:16 -05:00
.github Multi arch image with nvidia decode support 2022-04-24 13:52:12 -05:00
docker only use jellyfin-ffmpeg for amd64 2022-05-14 06:36:38 -05:00
docs Send mqtt message when motion is detected (#3152) 2022-05-15 07:03:33 -05:00
frigate Send mqtt message when motion is detected (#3152) 2022-05-15 07:03:33 -05:00
migrations optimize query performance 2022-05-12 06:29:43 -05:00
web Only include 16x if browser is not Firefox 2022-05-14 07:31:52 -05:00
.dockerignore swr events refactor 2022-03-11 07:49:06 -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 support multiple coral devices (fixes #100) 2020-10-18 13:47:13 -05:00
docker-compose.yml Changes group type from int to str (#3086) 2022-04-12 07:20:28 -05:00
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 Multi arch image with nvidia decode support 2022-04-24 13:52:12 -05:00
process_clip.py Ability to enable / disable motion detection via MQTT (#3117) 2022-04-26 07:29:28 -05:00
README.md update docs url 2021-09-26 16:43:26 -05:00
requirements-dev.txt Use requirement file for pip installs (#3090) 2022-04-12 07:21:21 -05:00
requirements-wheels.txt Typing: mypy fixes for 2022-04-17 08:55:38 -05:00
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