Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-02-04 20:09:12 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
5,008 Commits 54 Branches 151 Tags 715 MiB
TypeScript 51.2%
Python 46.3%
CSS 0.8%
Shell 0.6%
Dockerfile 0.5%
Other 0.5%
c87f89fcc1
Go to file
Jakub Sojka c87f89fcc1
Chore/update yq to 4.48.2 (#20967) 
* chore: update yq from 4.33.3 to 4.48.2

* fix: update yq v4 syntax for Frigate config upload command

---------

Co-authored-by: Jakub Sojka <jakub.sojka@mallgroup.com>
2025-11-23 08:41:44 -07:00
.cspell
.cursor/rules
.devcontainer
.github
.vscode
config
docker Chore/update yq to 4.48.2 (#20967) 2025-11-23 08:41:44 -07:00
docs Chore/update yq to 4.48.2 (#20967) 2025-11-23 08:41:44 -07:00
frigate Miscellaneous Fixes (#21005) 2025-11-23 08:40:25 -07:00
migrations
notebooks
web Miscellaneous Fixes (#21005) 2025-11-23 08:40:25 -07:00
.dockerignore
.gitignore chore: i18n use cache key (#20885) 2025-11-14 09:36:46 -06:00
.pylintrc
audio-labelmap.txt
benchmark_motion.py
benchmark.py
CODEOWNERS
cspell.json
docker-compose.yml
generate_config_translations.py
labelmap.txt
LICENSE
Makefile chore: i18n use cache key (#20885) 2025-11-14 09:36:46 -06:00
netlify.toml
package-lock.json
process_clip.py
pyproject.toml
README_CN.md
README.md Miscellaneous Fixes (#20951) 2025-11-18 15:33:42 -07:00

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 is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.

  • 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