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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

RGB Value Normalization

Hey,Looking at the image classification application example, I couldn't find any part of the code that handles the normalization of pixel value from [0,255] to [-1,1] or [0,1] that I would expect from a CV model of that kind. Do you mind explaining h...

pmiracle by Associate II
  • 484 Views
  • 5 replies
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X-CUBE-AI can't analyze model

Hello,I'm trying to convert my keras model for STM32N6. CubeMX Version: 6.15.0X-Cube-ai Version: 10.2.0The code for my model:img_input = Input(shape=(10, 141, 141, 3), name='img_input') # --- CNN branch applied per-frame via TimeDistributed --- cx =...

radar_classifier.onnx.png radar_classifier.h5.png
dhammerl by Associate
  • 279 Views
  • 1 replies
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Deploying neural networks on H755ZIQ

I am working on a project where I am required to deploy a Neural network on STM32 Nucleo- H755ZIQ. And I feel stuck because I am unable to properly run it on the board using Stm32CubeIDE with X cube ai. I downloaded the .ioc file and the project file...

Resolved! Problem with X-CUBE-AI code generation

Hello, I installed X-CUBE-AI 10.2.0 from STM32CubeMX in STM32CubeIDE 1.18.1. After enabling X-CUBE-AI in the ioc file and performing code generation, the folders /Middlewares/ST/X-CUBE-AI/Inc and /Middlewares/ST/X-CUBE-AI/Lib are created, but no code...

SR1218 by Associate II
  • 732 Views
  • 5 replies
  • 1 kudos

X-CUBE-AI - Middlewares Folder is not Generated

Hello,I am creating a new project on an STM32F4 nucleo board. I configured the X-CUBE-AI library as shown below and specified a TFLite model:When generating code on a fresh project, the "Middlewares" folder is not generated. The project fails to buil...

kahuna_0-1758122433978.png
kahuna by Associate II
  • 544 Views
  • 4 replies
  • 1 kudos

Resolved! Face Recognition MCU Selection

Hello,I have been conducting research for a while for a new project initiation. The project aims to design a smart access control system for 500 users using STM32. In designing this, we are implementing face recognition with FP_AI_FACEREC in the STM3...