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add a detector which is testing with yolov5s axmodel.

Proposed change

Add a detector using the AXERA AI accelerator.
As discussed in the linked thread
we want to add a new type of detector, namely the AXERA NPU. The current default detection model is YOLOv5
This initial commit serves as the beginning of the upcoming work.

Type of change

  • Dependency upgrade
  • Bugfix (non-breaking change which fixes an issue)
  • New feature
  • Breaking change (fix/feature causing existing functionality to break)
  • Code quality improvements to existing code
  • Documentation Update

Additional information

  • This PR fixes or closes issue: fixes #
  • This PR is related to issue:

Checklist

  • The code change is tested and works locally.
  • Local tests pass. Your PR cannot be merged unless tests pass
  • There is no commented out code in this PR.
  • UI changes including text have used i18n keys and have been added to the en locale.
  • The code has been formatted using Ruff (ruff format frigate)
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@NickM-27
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Hi, support for this hardware has already been added in #19680

Modify AXERA section and related content from hardware documentation.
@ivanshi1108
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ivanshi1108 commented Oct 28, 2025

Hi, this detector uses the AXERA AX650N/AX8850 NPU, which is different hardware from the Synaptics SL1680 NPU. Please review it again.
When revising the docs, we referenced Synaptics' commits. A typo in hardware.md has been fixed.
The following link is an introduction to one of the hardware components:
Specification Introduction of LLM8850

@blakeblackshear
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We can't accept PRs that include references to AGPL licensed models. See here

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