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NVR with realtime local object detection for IP cameras
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dependabot[bot] 901423efa7
Bump shell-quote, @docusaurus/core and @docusaurus/preset-classic 
Bumps [shell-quote](https://github.com/substack/node-shell-quote) to 1.7.3 and updates ancestor dependencies [shell-quote](https://github.com/substack/node-shell-quote), [@docusaurus/core](https://github.com/facebook/docusaurus/tree/HEAD/packages/docusaurus) and [@docusaurus/preset-classic](https://github.com/facebook/docusaurus/tree/HEAD/packages/docusaurus-preset-classic). These dependencies need to be updated together.


Updates `shell-quote` from 1.7.2 to 1.7.3
- [Release notes](https://github.com/substack/node-shell-quote/releases)
- [Commits](https://github.com/substack/node-shell-quote/commits)

Updates `@docusaurus/core` from 2.0.0-beta.ff31de0ff to 2.1.0
- [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/v2.1.0/packages/docusaurus)

Updates `@docusaurus/preset-classic` from 2.0.0-beta.ff31de0ff to 2.1.0
- [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/v2.1.0/packages/docusaurus-preset-classic)

---
updated-dependencies:
- dependency-name: shell-quote
  dependency-type: indirect
- dependency-name: "@docusaurus/core"
  dependency-type: direct:production
- dependency-name: "@docusaurus/preset-classic"
  dependency-type: direct:production
...

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frigate BUG: Fixes and cleanup around region / bounding box calculation (#3879) 2022-09-22 08:07:16 -05:00
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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 RTMP to reduce the number of connections to your camera

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