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NVR with realtime local object detection for IP cameras
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Typing Part 3: events.py (#3352) 
* Typing: events.py

* Remove unused variable

* Fix return Any from return statement

Not all elements from the event dict are sure to be something that can be evaluated

See e.g.: https://github.com/python/mypy/issues/5697

* Sort out Event disambiguity

There was a name collision of multiprocessing Event type and frigate events

Co-authored-by: Sebastian Englbrecht <sebastian.englbrecht@kabelmail.de>
2022-11-19 07:16:33 -06:00
.devcontainer include prettier in extensions 2022-04-10 09:11:16 -05:00
.github Github actions version updates (#4302) 2022-11-07 07:18:10 -06:00
docker Web updates and fixes (#4411) 2022-11-17 07:05:27 -06:00
docs Fix internal restream error and add docs for reducing camera connections (#4431) 2022-11-19 07:15:20 -06:00
frigate Typing Part 3: events.py (#3352) 2022-11-19 07:16:33 -06:00
migrations Limit recording retention to available storage (#3942) 2022-10-09 06:28:26 -05:00
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.dockerignore swr events refactor 2022-03-11 07:49:06 -06:00
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benchmark.py Refactor to simplify support for additional detector types (#3656) 2022-11-03 21:23:09 -05:00
docker-compose.yml Add go2rtc and add restream role / live source (#4082) 2022-11-02 06:36:09 -05:00
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process_clip.py Refactor to simplify support for additional detector types (#3656) 2022-11-03 21:23:09 -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