Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-08-27 13:47:50 +02:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
4,243 Commits 52 Branches 145 Tags 450 MiB
TypeScript 51.2%
Python 46.3%
CSS 0.8%
Shell 0.6%
Dockerfile 0.5%
Other 0.5%
127d00680e
Go to file
dependabot[bot] 127d00680e
Bump @docusaurus/module-type-aliases from 3.7.0 to 3.8.1 in /docs 
Bumps [@docusaurus/module-type-aliases](https://github.com/facebook/docusaurus/tree/HEAD/packages/docusaurus-module-type-aliases) from 3.7.0 to 3.8.1.
- [Release notes](https://github.com/facebook/docusaurus/releases)
- [Changelog](https://github.com/facebook/docusaurus/blob/main/CHANGELOG.md)
- [Commits](https://github.com/facebook/docusaurus/commits/v3.8.1/packages/docusaurus-module-type-aliases)

---
updated-dependencies:
- dependency-name: "@docusaurus/module-type-aliases"
  dependency-version: 3.8.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-06-09 12:36:14 +00:00
.cspell Fixes (#18304) 2025-05-19 14:43:22 -06:00
.devcontainer Initial implementation of D-FINE model via ONNX (#16772) 2025-02-24 08:56:01 -07:00
.github Cleanup builds (#18372) 2025-05-23 21:02:24 -05:00
.vscode Fix vscode launch configuration (#13795) 2024-09-17 10:42:10 -05:00
config Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
docker Fixes (#18500) 2025-06-03 06:33:32 -06:00
docs Bump @docusaurus/module-type-aliases from 3.7.0 to 3.8.1 in /docs 2025-06-09 12:36:14 +00:00
frigate Fixes (#18552) 2025-06-04 20:48:26 -05:00
migrations Small tweaks (#17168) 2025-03-15 07:11:45 -06:00
notebooks Improve documentation for YOLO-NAS notebook (#18381) 2025-05-24 09:42:32 -06:00
web Fixes (#18552) 2025-06-04 20:48:26 -05:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore Removed usage of PyYAML for config parsing. (#13883) 2024-09-22 10:56:57 -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 Improve async object detector support (#17712) 2025-04-15 08:55:38 -05:00
CODEOWNERS Initial support for Hailo-8L (#12431) 2024-08-29 20:19:50 -06:00
cspell.json Work through most of the cspell warnings in python (#13794) 2024-09-17 10:41:46 -05:00
docker-compose.yml Devcontainer: update Mosquitto from 1.6 to 2.0 (#17415) 2025-03-27 10:33:49 -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 2025-02-08 12:47:01 -06:00
netlify.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
package-lock.json Implement support for notifications (#12523) 2024-08-29 20:19:50 -06:00
process_clip.py Improve async object detector support (#17712) 2025-04-15 08:55:38 -05:00
pyproject.toml Fix various typing issues (#18187) 2025-05-13 08:27:20 -06:00
README_CN.md feat: document locale url (#18409) 2025-05-28 06:10:45 -06:00
README.md Small Tweaks (#17652) 2025-04-11 08:21:01 -06:00

README.md

logo

Frigate - NVR With Realtime Object Detection for IP Cameras

Translation status 
English

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 GPU or AI accelerator such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs 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

Translations

We use Weblate to support language translations. Contributions are always welcome.

Translation status