Edge AI

Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.

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Forum Posts

working on STM32N657X0H3Q (Nucleo-N657X0-Q board)

Hi!It might be a *** beginners question but I'm quite lost...I'm trying to deploy my .ONNX model on my new NUCLEO-N657X0-Q board. The MCU on it STM32N657X0H3Q, seems to have 4Mb of RAM and no flash, and my model is calculated as 2.71 MB of flash memo...

Resolved! Model Zoo Object Detection Error

Hello,I'm following the instructions here: https://github.com/STMicroelectronics/stm32ai-modelzoo-services/blob/main/object_detection/docs/README_DEPLOYMENT_STM32N6.md after creating a virtual environment and installed all the packages from requireme...

porting yolov11 model to stm32mp257.

I porting yolov11 model to stm32mp257. and The target detection model I use ,The output tensor is a combination of [1x7x8400] and [1x4x8400]. [1x7x8400] should be our classification because I have set 7 categories, and [1x4x8400] should be our positi...

Can STM32N6 run Transformer or Multi Head Attention?

I’m currently trying with the STM32N6570-DK board using the ST Edge-AI v2.2.0I would like to know whether a lightweight Transformer model (for example, a small Vision Transformer or a minimal Transformer encoder) can be successfully converted and exe...

mincho00 by Associate
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  • 3 replies
  • 2 kudos

Resolved! Run Yolov8n Object Detection on STM32N6570-DK

Dear STM Community,I want to run Yolov8 object detection model from ST Model ZOO. I try to change STM32N6-GettingStarted-ObjectDetection from Yolo Tiny to Yolov8. I changed app_config.h:#define USE_DCACHE /*Defines: CMW_MIRRORFLIP_NONE; CMW_MIRRORFL...

adakPal by Associate II
  • 231 Views
  • 2 replies
  • 2 kudos

STM32N6 AI Applications tutorial

Hello,I am new to the STM32 world and have got access to the STM32N657X0 Nucleo board. I have followed the tutorial from STM about getting the NPU running. Link. However I have faced mutliple issues.When I generate the code from CubeMX, the SystemIso...

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