Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-01-07 00:06:57 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
2,544 Commits 47 Branches 128 Tags 244 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
0223d6df60
Go to file
Nicolas Mowen 0223d6df60
UI Tweaks (#10727) 
* Fix drawer not being scrollable

* Fix margin

* Use 2 columns for large mobile devices

* Move padding

* Add review summary to mobile calendar

* Make header spacing consistent between pages

* remove red
2024-03-28 11:53:36 -06:00
.devcontainer Remove deprecated RTMP port 1935 (#9137) 2024-01-31 12:56:11 +00:00
.github Bump dependabot/fetch-metadata from 1 to 2 (#10607) 2024-03-24 19:55:15 -06:00
.vscode
config
docker Bump pytz from 2023.3.post1 to 2024.1 in /docker/main (#9592) 2024-03-25 18:08:31 -06:00
docs Update docs deps (#10591) 2024-03-21 12:52:45 -05:00
frigate Improve restart timing (#10709) 2024-03-27 10:03:13 -05:00
migrations Add region count to database and use for motion activity (#10480) 2024-03-15 09:29:22 -06:00
web UI Tweaks (#10727) 2024-03-28 11:53:36 -06:00
.dockerignore
.gitignore Small autotracking changes (#9571) 2024-02-02 06:23:14 -06:00
.pylintrc
audio-labelmap.txt
benchmark_motion.py
benchmark.py
CODEOWNERS AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762) 2024-02-10 06:41:46 -06:00
docker-compose.yml
labelmap.txt
LICENSE
Makefile Update Makefile for 0.13.2 (#9687) 2024-02-05 17:50:35 -06:00
netlify.toml
process_clip.py Remove rtmp (#8941) 2024-01-31 12:56:11 +00:00
pyproject.toml
README.md

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 RTSP to reduce the number of connections to your camera
  • WebRTC & MSE support for low-latency live view

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