STM32Cube AI Studio: ROM overflow when generating YOLOv8n project for STM32N6570-DK

[masatake]

Subject: YOLOv8n ONNX conversion fails with "region 'ROM' overflowed by 5601536 bytes" on STM32N6570-DK

I am trying to convert and generate a YOLOv8n ONNX model for the STM32N6570-DK using STM32Cube AI Studio / ST Edge AI Core.

My target configuration is:

• Board: STM32N6570-DK
• Accelerator: ST Neural-ART
• RAM: 4200 KB
• Internal Flash: 0 KB
• External RAM: 32 MB
• External Flash: 128 MB
• Mode: On target

However, the generation fails with the following error:

region 'ROM' overflowed by 5601536 bytes

Since the STM32N6570-DK has 128 MB of external Flash, I would like to understand why the ROM region overflows and whether the model/data can be placed in external Flash.

What memory configuration or settings should I use to deploy YOLOv8n on the STM32N6570-DK?

I have attached the complete log and the ONNX model.

 

 

YOLOv8n　Data↓

https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov8n.pt

[hamitiya]

Hello ​@masatake 

For this model size, I would suggest you to enable “Export weights as binary” argument in STM32Cube AI Studio:

Best regards,

Yanis