Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-12-19 19:06:16 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
2,434 Commits 62 Branches 127 Tags 239 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
70825bc938
Go to file
Josh Hawkins 70825bc938
rename vars and change which div is absolutely positioned (#10358)
2024-03-10 07:23:36 -06:00
.devcontainer Remove deprecated RTMP port 1935 (#9137) 2024-01-31 12:56:11 +00:00
.github Separate extra amd64 builds (#10319) 2024-03-09 06:04:57 -06:00
.vscode Set User Agent for FFmpeg calls (#4555) 2022-11-30 16:53:45 -06:00
config Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
docker Pass computes value to libyolo_layer build (#10210) 2024-03-05 06:04:13 -06:00
docs Organize api docs and add new review and preview apis (#10268) 2024-03-05 15:33:39 -06:00
frigate Don't check autotracking onvif requirements for users with autotracking disabled (#10350) 2024-03-09 08:48:31 -06:00
migrations Migrate pydantic to V2 (#10142) 2024-02-29 16:10:13 -07:00
web rename vars and change which div is absolutely positioned (#10358) 2024-03-10 07:23:36 -06:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore Small autotracking changes (#9571) 2024-02-02 06:23:14 -06:00
.pylintrc use fstr log style 2021-02-25 07:01:59 -06:00
audio-labelmap.txt Audio events (#6848) 2023-07-01 08:18:33 -05:00
benchmark_motion.py use a different method for blur and contrast to reduce CPU (#6940) 2023-06-30 07:27:31 -05:00
benchmark.py Add isort and ruff linter (#6575) 2023-05-29 05:31:17 -05:00
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 Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
labelmap.txt Cleanup Detector labelmap (#4932) 2023-01-06 07:03:16 -06:00
LICENSE switch to MIT license 2020-07-26 12:07:47 -05:00
Makefile increment version 2024-01-31 06:23:54 -06:00
netlify.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
process_clip.py Remove rtmp (#8941) 2024-01-31 12:56:11 +00:00
pyproject.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
README.md Clarify docs about rtmp (#5052) 2023-01-13 07:20:25 -06:00

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 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