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Alif Semiconductor ML Embedded Evaluation Kit Examples

Built on the Arm ML Embedded Evaluation Kit, this repository provides a collection of ML models that can be compiled and run on Alif development boards.

For instructions on setting up the build environment and creating loadable images, please refer to the ML Embedded Evaluation Kit document file in the root directory.

The instructions and build by default is for Generation 2 device AppKit.

By default the build is for AppKit; for any other board set the TARGET_BOARD apropriately. The default camera for the build is MT9M114. If you have ARX3A0 camera, set the ALIF_CAMERA_MODULE accordingly (-DALIF_CAMERA_MODULE=ARX3A0).

Supported camera modules:

  • MT9M114 This is the default camera
  • ARX3A0
  • OV5675

The original README file content from the Arm ML embedded evaluation kit can be found in the root directory as ARM_Readme.md.

About

Alif Semiconductor Repository forked from the ARM ml-embedded-evaluation-kit from https://git.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit.git. For bug reports or questions, please use ticket system in alifsemi.com web page.

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