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Forum Posts

ST seeks data scientists: Participate in a paid usability session

Hello ST Community members,   Are you a data scientist or machine learning engineer with experience deploying neural networks on edge or embedded devices? The ST team invites you to join a 45-minute remote usability session to provide technical feedb...

Resolved! ST Edge AI Dev Cloud Quantization not working

Hi,I've been using ST Edge AI Dev Cloud to benchmark my human activity recognition models on some ST platforms and I would like to do the same for the STM32N6570-DK but it only accepts quantized models and the quantization option throws and error:Exe...

BM11 by Associate
  • 741 Views
  • 4 replies
  • 5 kudos

How to do for yolov8n in STM32n6

Dear ST,i convert my tflite of yolov8n without nms to neural-art related files in STM32N6 using stedgeai cli command as belowafter that, i have to apply it to cubeISE which import NUCLEO-N657X0-Q object detection example.i have a below question to be...

yiulsup_0-1753985150272.png yiulsup_1-1753985285957.png
yiulsup by Associate II
  • 467 Views
  • 1 replies
  • 0 kudos

X-Cube-AI: High accuracy on desktop validation, but not in debug

I validated the AI network using the‘Validate on desktop‘ tool,and the accuracy was high.But when I debugged the AI C-program(generated by CUBE AI) with the same input data, the result have large difference with correct output values.Could you help m...

Hamanken by Associate
  • 313 Views
  • 1 replies
  • 1 kudos

app_x-cube-ai.c is not generated.

Hi, I'm newbee of AI.I started simple appl for linear regression. I start with stm32cube_ide, not MX I do enable X-CUBE-AI core.But, I cannot find app_x-cube-ai.c which is exprected to be generated.BRPaul

Paul.Lee by Associate III
  • 324 Views
  • 1 replies
  • 0 kudos

Using images for input to ST Model zoo models

I am using the object detection code from ST model zoo. I have a small image of 4X4 example: const uint8_t myImage[NN_HEIGHT] [ NN_WIDTH]= {// Row 0 (all black){ 255, 0, 0, 0},// Row 1 (black, then white dot, then black){ 0, 255, 255, 0}, // Pixels 1...

Resolved! stm32ai-modelzoo-services-main benchmarking error!

[INFO] : Quantization complete.[INFO] : Evaluating the quantized model using validation_set...INFO: Created TensorFlow Lite XNNPACK delegate for CPU.100%|██████████| 36/36 [05:01<00:00, 8.37s/it][INFO] : Accuracy of quantized model on validation_set ...