Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
Hi, I am using STM32N6570-DK kit. I have an example project for image classification, but it is designed for STM32CubeIDE. I want to port this project to Keil ( in order to use the ARM Compiler). Could you please provide the project file so it ca...
I am evaluating AI with the STM32N6570-DK. I can create a starting project with the new project wizard (cubeMX inside cubeIDE) by targeting that dev kit. It produces FSBL and APPLI projects that build fine. When I add in the X-CUBE-AI middleware v...
Hello everyone! :raising_hands:I’m currently working with the N6 Discovery Board and would like to systematically understand the available CubeAI API functions related to AI features. Does anyone know if there is a comprehensive reference or document...
Hi everyone,I'm working on deploying an object detection model on the STM32N6570-DK board. While I have successfully deployed it, I noticed a significant drop in accuracy during live testing compared to the floating-point YOLOv8 model.I'm now conside...
Can the STM32N6 be connected to a 12MP image sensor for use solely in taking photos?In Section 3.25 of the datasheet, it is mentioned:"The DCMIPP path offers the following summarized maximum features:• Target sensors: 5 MPixel at 30 fps max" AND"Some...
Hello,I am facing a serious issue in my STM32 project related to the neai_classification function. Here's the context of my code: float output_class_buffer[CLASS_NUMBER] __attribute__((aligned(4))); uint16_t id_class = 0;When calling the function ne...
Can NanoEdge AI Studio make an option to support graphics card training? The current CPU training efficiency is too low, and there is no function that can directly throw input into online verification.
This is the error i get when trying to clone the git.C:\Users\Zhun>git clone https://github.com/STMicroelectronics/stm32ai-modelzoo.gitCloning into 'stm32ai-modelzoo'...remote: Enumerating objects: 8704, done.remote: Counting objects: 100% (348/348),...
I am a new user of the STM32MP257F-EV1 board and am not very familiar with the ST Edge AI tool. I am currently trying to extract the TensorFlow Whisper encoder, convert it to an INT8 .tflite model using post-training quantization (PTQ), and then use...
It is fine until validation on validation on desktop... but when it comes to validation on target, it is showing the above error...can anyone please address my issue... I am trying this since 3 months..
