Nicolas Mowen 369299315f Optimize nginx & recordings (#4688)
* Add segment duration metadata

* Use faststart only for kept segments

* Add more options for performance

* Build nginx locally

* Build nginx in dockerfile and enable threaded vod handling

* Use DASH instead of hls

* Allow player to continue on error

* Undo DASH change

* Fix typo

* Correct log

* Fix bad comments

* Fix indentation

* Preload stream

* remove unused

* Fix spacing

* Fix tabs / sspaces

* Retab

* More cleanup
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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

Description
NVR with realtime local object detection for IP cameras
Readme 236 MiB
Languages
TypeScript 49.6%
Python 46.3%
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