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
4,241 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%
ed43df9c13
Go to file
Josh Hawkins ed43df9c13
Fixes (#18552) 
* Ensure config editor recalculates layout on error

* ensure empty lists are returned when lpr recognition model fails

* Add docs section for session_length

* clarify

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

* clarify

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

* Catch missing file

* Improve graph axis colors

* Ensure playback rate controls are portaled to the video container in history view

On larger tablets in landscape view, the playback rate dropdown disappeared underneath the bottom bar. This small change ensures we use the correct container on the DropdownMenuContent so that the div is portaled correctly. The VideoControls are also used in motion review which does not pass in a container ref, so we can just fall back to the existing controlsContainer ref when it's undefined.

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
2025-06-04 20:48:26 -05:00
.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 Fixes (#18552) 2025-06-04 20:48:26 -05:00
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