Dear community members,Here’s your chance to win some prizes from ST until November 29, 2024! You can join the challenge by sharing your ISPU neural network implementation. We’ll provide instructions and hints during the ISPU webinar held on October ...
The free online platform (formerly named STM32Cube.AI Developer Cloud) now supports MPUs and smart sensors in addition to MCUs. It also supports AI hardware acceleration (NPU) on compatible devices. Leveraging the ST Edge AI Core technology, the to...
Hello, I would like to know what possibilities the STEVAL-MKI109V3 has for connecting to other motherboards. From what I understand, this board (STEVAL-MKI109V3) is used a bridge between a sensor, for example, the LSM6DSOX, and a PC, but I would like...
Hello,I am currently utilizing the LSM6DSV16x kit alongside an MKI109V3 evaluation board and UNICO-GUI. I am wondering if there is a way to use UNICO-GUI with wireless communication, as I need to gather data. Any suggestions or advice would be greatl...
Hello,I have recently conducted a test on the activity recognition task using the ST library with ESP32 MCU. Although it functions correctly, there are noticeable delays before action recognition occurs. I am seeking advice on how to address this iss...
Hi, Thanks for your attention. I am analyzing the .onnx format model but an error occurs. I try to reinstall the stm32cubeMX but it doesn't help. The part of architecture is: Here is the log information. Can you help me with this problem? @Romain LE ...
Hi ! I perform predictive maintenance on electricals fans with steval_stwinbx1. I created the IA nCC library using the NanoEdge IA software. Then I added the library in the Steval-stwbx1 IDE project as indicated in the link Then I flashed the binary...
Hi,I'm trying to test X-CUBE-AI on my Stm32F429ZI nucleo board. I'm using Stm32CubeMX, Stm32CubeIDE.Setup: stmnist_v1.h5, I've PNG files for this dataset.At first I'd like to test the AI routines with in-memory buffer so I'd like to know what is the ...
Hi team. May you kindly assist how to eliminate false positive for a face recognition project is it my code which is the problem or something else. For white people I am getting true positives but for blacks, only false positives.
Hi,I am currently using LSM6DSOX and its features like MLC and built in pedometer in a project, MLC works just fine but when I am walking whilts LSM6DSOX is in a 40 to 50 degrees tilted position on my wrist, pedometer misses around half of the steps ...
I've updated my code to CubeAI 8.1. The middleware is still deleted... but I can add it manually. However when I build the code I gett the error:Description Resource Path Location Typecannot find -l:NetworkRuntime730_CM7_GCC.a AI_FILES_GENERATOR C/C+...
Hello,Can we generate analog output from MLC instead of a statement? If we can, could you explain how to do it? I plan to use MLC output as a part of my control algorithm. What is the most efficient way to achieve this?