patrykorwat 57a215f4ef Add Axelera Metis NPU object detector plugin
Runs Frigate inference on the Axelera Metis NPU through the vendor's
low-level axelera.runtime API with pip-installed, sha256-pinned wheels
from Axelera's public artifactory (self-contained: auditwheel-repaired
libs + bundled firmware).

- async send_input/receive_output contract (FIFO pairing, overload emits
  zero rows instead of raising, frames are copied out of camera shm)
- generic YOLO-family decoder driven by the compiled model's manifest.json
  (padded input geometry, dequant params, baked postprocess graph via onnx)
- labels come from the compiled model's model_info.json; empty labelmaps
  fail loudly at init
2026-09-02 17:28:57 +00:00
2026-03-20 07:24:34 -06:00
2021-02-25 07:01:59 -06:00
2026-07-08 08:27:38 -05:00
2026-07-25 11:22:05 -06:00
2026-05-20 08:36:49 -06:00
2026-07-25 11:22:05 -06:00
2023-01-06 07:03:16 -06:00
2026-01-01 09:56:09 -06:00
2026-08-27 20:30:35 -05:00
2023-11-18 08:04:43 -06:00
2026-07-06 12:28:02 -05:00

logo

Frigate NVR™ - Realtime Object Detection for IP Cameras

License: MIT

Translation status

[English] | 简体中文

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.

License

This project is licensed under the MIT License.

  • Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
  • Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.

Please see our Trademark Policy for details on acceptable use of our brand assets.

Screenshots

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Built-in mask and zone editor

Translations

We use Weblate to support language translations. Contributions are always welcome.

Translation status

Copyright © 2026 Frigate, Inc.

Languages
Python 50%
TypeScript 48.7%
Shell 0.5%
CSS 0.3%
Dockerfile 0.2%
Other 0.2%