Is my STM32H573 AI model deployment procedure correct?

[yongjin]

Hello. I am a newbie who is experiencing embedded.

I recently got the stm32h573i-dk board and I am trying to upload an AI inference model to the board. The inference model is a simple test model that predicts the XOR value.

I created a project in STM32CubeIDE using ST Edge AI Developer Cloud and tested the basic user_led and UART communication. Then, I expanded x-cube-ai to create network.c and network.h files, but I confirmed that many errors occurred.

I am not writing this article to find a way to solve the errors. I just wanted to check if the procedure for applying the AI ​​model to the stm32h5 board is correct. I would like to get a simple comment if this is the right way to proceed or if there is something I missed.

They say that you can see as much as you know, but I am a newbie, so I don't know what to ask. If there is any study material on how to apply the AI ​​model to the stm32h5 board, please recommend it.

This article was written with the help of a translator, so I'm not sure if the content will be conveyed well. Thank you!

[hamitiya · Accepted solution]

Hello @yongjin 

If you used the project generated from ST Edge AI Developer Cloud, it should run out of the box with your model. You can then update network.c/h and network_data.c/h.

STM32H5 Series is pretty similar to STM32H7 or STM32F7, you should not encounter any issue if you find documentation for these platforms.

You can find documentation here:

- Getting started with X-CUBE-AI Expansion Package for Artificial Intelligence (AI) - User manual

- AI:X-CUBE-AI documentation - stm32mcu

Hope it helps.

Best regards,

Yanis

[yongjin]

thank you I think it will be of great help to me.

I hope today is filled with only good things.