Josh Hawkins 27144eb0b9 Autotracker: Basic zooming and moves with velocity estimation (#7713)
* don't zoom if camera doesn't support it

* basic zooming

* make zooming configurable

* zooming docs

* optional zooming in camera status

* Use absolute instead of relative zooming

* increase edge threshold

* zoom considering object area

* bugfixes

* catch onvif zooming errors

* relative zooming option for dahua/amcrest cams

* docs

* docs

* don't make small movements

* remove old logger statement

* fix small movements

* use enum in config for zooming

* fix formatting

* empty move queue first

* clear tracked object before waiting for stop

* use velocity estimation for movements

* docs updates

* add tests

* typos

* recalc every 50 moves

* adjust zoom based on estimate box if calibrated

* tweaks for fast objects and large movements

* use real time for calibration and add info logging

* docs updates

* remove area scale

* Add example video to docs

* zooming font header size the same as the others

* log an error if a ptz doesn't report a MoveStatus

* debug logging for onvif service capabilities

* ensure camera supports ONVIF MoveStatus
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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 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

Integration into Home Assistant

Also comes with a builtin UI:

Events

Description
NVR with realtime local object detection for IP cameras
Readme 236 MiB
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