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...
Hi,I'm working with X-CUBE AI.The code seems working but I have a doubt:status_init = ai_network_create_and_init(&network_handle, act_addr, NULL);Is NULL parameter correct ?Why souldn't I need to pass a pointer also for weigths like 'act_addr' ?If it...
I am trying to validate a CNN on STM32CubeMX with X-Cube-AI 9.1.0. I provided a datainput.CSV and a dataoutput.csv files to "Validation inputs: & Validation outputs: " respectively. When ran Validate on desktop or Validate on target, they all faile...
First , the github project is thishttps://github.com/Xiaobin-Rong/gtcrn/tree/main It has converted to onnx and tensorRT for ppl to usebut when i load the onnx model into stm32 for optimize/import (setting , compression : none , optimization : balan...
Hi everyone, I have a STWIN.BOX (STEVAL-STWINBX1) and I have played around with the code examples in Python provided on the tfp-sns-datalog2 repository. The idea is to use this device to provide readings to a Raspberry Pi board and make some decisi...
I am encountering an issue when deploying a classification model generated with NanoEdge AI Studio 4.6.0 to my STM32H7 development board. Below are the details:Issue: When calling neai_classification_init(knowledge), the function returns NEAI_COMPILE...
When I select the library in the [Validation] tab of NANOEDGE AI STUDIO and run [Serial emulator], I get the error message "No data are being received. Please ensure the correct COM port is selected."However, I am able to obtain data if I select the ...
Hi,We are trying a very simple deep neural network model with 20 inputs and 3 outputs and want to generate inferences in real-time. We are following the instructions from the document "Getting started with X-CUBE-AI Expansion Package for Artificial I...
Hi everyone,I am working on implementing an image classification model on an STM32 board using the X-CUBE-AI extension. I am relatively new to embedded software development; my background is primarily in AI and deep learning. While I have managed to ...
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 ...
Hi community,I'm working on deploying an object detection project using Edge Impulse on STM32H747i-DISCO with CAMS OMV. I successfully deployed the TFLite model, but I would like to add camera and board configuration to detect objects in real time. H...