Hello @Anhem,
Indeed, I forgot to answer sorry.
In my opinion, we still lack easy tutorial, starting from zero, integrating simple CNN and creating a small demo as you mentioned. We are working on it.
In the meantime, we already have some materials:
STM32N6 (DK board) getting started:
STM32N6-AI - AI software ecosystem for STM32N6 with Neural-ART accelerator - STMicroelectronics
Standalone or used with model zoo, you can find application example and source code for multiple use cases (image classification, object detection, segmentation etc).
In the docs, you can find how to integrate your own model manually, or you can find how to do it with model zoo here (image classification example):
https://github.com/STMicroelectronics/stm32ai-modelzoo-services/blob/main/object_detection/deployment/README_STM32N6.md
N6, NPU and ST Edge AI Core documentation:
You can find most information here: https://stedgeai-dc.st.com/assets/embedded-docs/index.html
I would look in particular to these:
Then you also have X Cube AI for cube MX to generate a project for any MCU and integrate your model:
https://www.st.com/en/embedded-software/x-cube-ai.html#documentation
This document in particular: https://www.st.com/resource/en/user_manual/um2526-getting-started-with-xcubeai-expansion-package-for-artificial-intelligence-ai-stmicroelectronics.pdf
Have a good day,
Julian
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