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How to port OpenCV / AI application to STM32N6570 MCU?

Hello,I’m currently exploring the STM32N6570 MCU for an embedded AI/computer vision application.I would like to know how to port OpenCV or other AI inference frameworks to this device.Could you please guide me on:Whether OpenCV is already supported o...

bobban by Associate
  • 266 Views
  • 1 replies
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Resolved! 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...

STM32N6 onboard inference returns clipped values

Hi,I'm trying to deploy a quantized ONNX neural network on a STM32N6-Nucleo and inference on board returns clipped values (see clipped-output.png). Previously, I've exported and quantized my torch neural network to onnx using the following configurat...

clipped-output.png
cp5900 by Associate II
  • 779 Views
  • 5 replies
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Need Help to run Yolov8n inference on NUCLEO-U575ZI-Q

Hey I am very new to this world. I study Data science and AI and I am currently writing my thesis on Federated Learning on Edge Devices.I am currently really really struggling on the device side. I have a quantized Yolov8n model fine tuned on weed de...

Adhygame by Associate
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  • 1 replies
  • 0 kudos

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...

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
  • 843 Views
  • 2 replies
  • 2 kudos