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
3,041 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%
8e31244fb3
Go to file
Josh Hawkins 8e31244fb3
Adjust MSE player playback rate logic (#13164) 
* Fix MSE playback rate logic

* don't adjust playback rate if we just started streaming

* memoize onprogress
2024-08-18 12:13:21 -06:00
.cspell cspell fixes (#11447) 2024-05-20 07:37:56 -06:00
.devcontainer Nginx config tweaks (#12174) 2024-06-29 07:18:40 -06:00
.github Rename bug report (#13039) 2024-08-13 14:26:01 -05:00
.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 Build libusb for coral compatibility (#12681) 2024-07-30 16:32:32 -06:00
docs Installation and getting started docs improvements (#12395) 2024-08-03 08:20:14 -05:00
frigate Catch case where github sends bad json data (#13077) 2024-08-14 20:41:41 -05:00
migrations Auth! (#11347) 2024-05-18 10:36:13 -06:00
notebooks Adds support for YOLO-NAS in OpenVino (#11645) 2024-06-07 05:52:08 -06:00
web Adjust MSE player playback rate logic (#13164) 2024-08-18 12:13:21 -06:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore upgrade to latest openvino version (#11563) 2024-05-27 14:49:35 -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
cspell.json cspell fixes (#11447) 2024-05-20 07:37:56 -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 Update version 2024-08-08 07:54:13 -06:00
netlify.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
process_clip.py chore: fix some typos in comments (#11028) 2024-04-20 06:16:43 -05:00
pyproject.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
README.md update images in readme 2024-06-08 15:37:16 -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 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

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Multi-camera scrubbing