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, STM32Cube AI Studio is ST’s next-gen desktop solution for optimizing and validating AI models running on STM32 MCUs. It brings a unified workflow, improved performance evaluation, and a modern user experience designed th...
@Julian E.I’m porting the X‑CUBE‑AI v10.0.0 “hello_world” application, originally for the STM32N6570‑DK (path: X‑CUBE‑AI\10.0.0\Projects\STM32N6570‑DK\Applications\hello_world), to the NUCLEO-N657X0-Q board with the use of lwIP to receive the images ...
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...
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...
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
Hello,im currently working on utilizing a Keras RNN (seq2seq model) on the STM32N6570-DK to generate text from a certain input.The inference of the .h5 model on my laptop works with a .pkl file that has mapping of the input to the output. When conver...
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...
[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 ...
I'm trying to deploy my own simple AI model (Handwritten digit recognition) on my STM32N6570-DK board. I have already finished this project on STMF407 discovery board using Keil MDK. However, linker garbage problem popped up and I don't know how to s...
I used stm32-h747 to train image classification, I used the image classification routine, but the actual effect is very biased, my quantized_model_confusion_matrix_validation_set is as shown below, is there something wrong with my configuration?
I am using the STM32N6-DK board.I am trying to execute an AI model on the STM32N6-DK board, following the instructions on the website below.How to run AI models from model zoo on STM32N6 - STMicroelectronics Community However, the software crashes wh...
