Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
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...
Hello,I’ve been working on a project inspired by STMicroelectronics project, where the goal is to identify different operation modes of a power drill — such as drilling, screwing, and idle — using motion sensor data.I’m using one of ST’s development ...
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...
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...
I've implemented a multi-model face recognition system on the STM32N6 (originally based on the single model object detection demo) that efficiently runs detection and recognition models simultaneously on the NPU. Sharing the complete implementation ...
Hi everyone,I’m trying to deploy a wav2vec model using STM32Cube.AI and ran into an issue during onnx conversion.NOT IMPLEMENTED: Unsupported layer types: LayerNormalizationI’ve read the documentation at supported onnx operators and it seems that Lay...
Hi,I have got a TFlite model with s16 activations and s8 weights.1. Without NPU. I run this commandstedgeai.exe generate --target stm32n6 --name network -m %1 --compression none --verbosity 1 -O time --output ./X-CUBE-AIand the utility produces a ne...
Hey,I have created a simple computer vision NN model and successfully deployed it on my STM32N6570-DK (original and quantized in the zip file).I want to "push" image files (to "emulate" the camera) from my computer to the board to run inference of th...
Hi everyone,I’m currently working on deploying a YOLOv8 model on the STM32MP25 using ST Edge AI. Here’s what I’ve done so far and where I’m stuck.Training & Export:from ultralytics import YOLO model = YOLO("yolov8n.pt") # medium variant model.train...
HI everyone,I have recently bought a STM32N6570-DK and I am trying to implement an example model from the Model Zoo on my board. I am able to get results and benchmark but when I go to Generate Your Project I am only able to Download C Code as seen i...
Hello,I am currently working with the STM32N6570-DK and am studying several official example projects from ST's GitHub repositories. The projects I'm looking at are:ObjectDetection: https://github.com/STMicroelectronics/STM32N6-GettingStarted-ObjectD...
