The STM32N6 has been officially launched yesterday at the STM32 Summit! The STM32N6 is based on the Arm® Cortex®-M55 running at 800 MHz. It is the first STM32 MCU to embed the ST Neural-ART accelerator™, an in-house developed neural processing ...
Hi, @Denise SANFILIPPO , I checked this post and was wondering how to check whether my IMU has sensor fusion functionality? It seems that my adapter is also MKI239AA, looking exactly the same as what was shown in the post... I believe I purchased my ...
I meet that when follow func is in its second loop And I find the value of var 'batch' is not 1 in the second loop,Why?
Hello,I'm considering to use NanoEdgeAI generated model in a Zephyr project but I haven't been able to find any integration with it. I have been trying to integrate it using cmake but I'm having issues to do it (not the same math library, not finding...
Hello, I generated a nClassification model using the LIS2DE12 accelerometer through NanoEdgeAI Studio but when I try to integrate it to my project using VSCode I get the next error:c:/ncs/toolchains/31f4403e35/opt/zephyr-sdk/arm-zephyr-eabi/bin/../li...
This is the model i use(through X cube ai 8.1.0)By annalyze it ,the output should be float as belowBut the auto generated code declare it as ai_i8,why?and I can`t get result in the following way,I don`t konw the reason Because of the limits ,I can on...
Hi all,We have requested FP-AI-FACEREG through https://www.st.com/en/embedded-software/fp-ai-facerec.html with our company e-mail address, but it is not sent although it's been more than a week.Is this a normal process? Is there anyone having the sam...
i get two defferent results with O0 and O2 optimizationO0 result O2 resultBut I think the result of O2 is more like right because the label is daisy.Should I always open O2 optimization?
Hi! What is the difference between the part numbers LSM6DSO16ISTR and LSM6DSO16ISNTR? I'm guessing that the one with "N" is able to use the libraries generated by NanoEdge AI Studio, but I can't find a way to confirm this. If that's the case, why can...
I encountered an error while analyzing an ONNX model quantized with int8, and I'm unsure how to resolve it. Is there any technical support available to assist me with this issue?
I've got a simple model like this in ONNX: I set HCLK@216MHz and ran "Inference on target" using Nucleo-f767zi board with X-Cube-AI 8.1.0I got these useful information:1) duration : 0.017ms (17us) by sample (200 samples, I got a similar result (21us)...
