administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-02-06 11:15:21 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
1,898 Commits 56 Branches 151 Tags 728 MiB
TypeScript 51.9%
Python 46.1%
CSS 0.6%
Shell 0.5%
Dockerfile 0.4%
Other 0.3%
c8e6f4718d
Go to file
Andrew Reiter c8e6f4718d Bugfix: get_min_region_size() returned half-size 
All users expect the returned value to be the full model size, not the
half size. The effect of this bug was to increase the number of regions
that must be detected, reduce the context provided to the detector for
each, and force most regions to have to be scaled up, which became a CPU
bottleneck.
2023-07-31 12:42:17 -04:00
.devcontainer Check ffmpeg version instead of checking for presence of BTBN_PATH (#7023) 2023-07-06 07:35:26 -05:00
.github Revert the switch to zstd docker layer compression (#7308) 2023-07-28 05:37:51 -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 Refactor Dockerfile to use scratch as base image and add go2rtc binary using ADD command (#7321) 2023-07-28 21:33:21 -05:00
docs Organize configuration sidebar (#7333) 2023-07-30 18:29:50 -05:00
frigate Bugfix: get_min_region_size() returned half-size 2023-07-31 12:42:17 -04:00
migrations Save average dBFS and retain segment with dBFS in motion mode (#7158) 2023-07-14 19:05:14 -05:00
web scroll camera list in camera/recordings route (#7195) 2023-07-21 07:31:02 -05:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore Migrate default database path from /media/frigate to /config (#5219) 2023-04-23 11:35:40 -05:00
.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 Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
docker-compose.yml Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
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 Community Supported Boards Framework (#7114) 2023-07-23 16:45:29 -05:00
process_clip.py Improve tracking (#6516) 2023-05-31 08:12:43 -06:00
pyproject.toml Fix bug introduced in new linter (#6754) 2023-06-11 07:18:47 -05:00
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