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Resolved! STM32N6 + YOLOv8n ONNX Model. Issues with PNG Input and Code Generation

Hi everyone,I'm working with an STM32N6 board and trying to deploy a custom YOLOv8n model in ONNX format using CubeMX and STM32 Edge AI. I’ve run into a few issues and was hoping someone could help clarify the process.Here’s what I’ve done so far:I s...

TerZer by Associate III
  • 541 Views
  • 16 replies
  • 5 kudos

Issue with the STM32N6570-DK knowledge base article

Hi @Julian E.    While following along the tutorial: How to build an AI application from scratch on the... - STMicroelectronics Community after selecting the x-cube-ai package a described, I see that the default is enabled for fsbl and I cannot chang...

SM19X_0-1755334734819.png SM19X_1-1755334828632.png SM19X_0-1755425159793.png SM19X_0-1755425410157.png
SM19X by Associate II
  • 415 Views
  • 4 replies
  • 0 kudos

Resolved! Unanle to run tensorflow lite micro on stm32769 eval board

I am trying to run tflm with stm32f769 eval. I build the tflm as a static library and included it in my project. My app  is crashing whille calling allocatetensors() function.  Anyone having any luck with it? Also I couldn' find any official demo for...

hadi81 by Associate II
  • 292 Views
  • 3 replies
  • 0 kudos

the result of onnx model validate on target has two different output, why?

hiI have validate on the STM32N6 board by onnx model in STM32MX,but i have two different output ,like this: m_outputs_1: (10, 3)/float64, min/max=[-282.578064, 481.370483], mean/std=[-2.619613, 298.301398], output  m_outputs_2: (10, 1)/float64, min/m...

cxf by Associate III
  • 872 Views
  • 25 replies
  • 2 kudos

Resolved! Deploying neural networks.Tflite on N657X0 Nucleo

Hi, I have been trying to deploy simple neural networks.tflite on the STM32 N657X0 board, by applying the XCUBEAI, running under NPU.While, I have not made it work yet. If anyone has such project or docs to share, It would be highly appreciated. Best...

HANITALY by Associate III
  • 328 Views
  • 2 replies
  • 2 kudos