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,@Miguel CASTRO Related to this article.https://blog.st.com/stm32n6/You mentioned a machine-vision image signal processor (ISP).do u mean an ISP that can convert the raw output of camera to RGB or YUV? or its something else related to computer vis...
Hello,So far I've been using NN C-files generation and everything works fine. At the moment I'm migrating to a relocatable binary model. At the moment I'm in generation step and for this I've basically added --relocatable and --lib "C:/tools/X-CUBE-A...
Hello,Does the AlgoBuiler GUI support STEVAL-MKI109V3 hardware?
Hello,I am looking to use the LSM6DSV16x sensor for position and velocity control. What is the most effective way to achieve the best results? How can I utilize FSM, MLC, and sensor fusion to optimize performance?To clarify, the purposes are:- Trajec...
I have been able to follow all instructions on the ModelZoo Github page (https://github.com/STMicroelectronics/stm32ai-modelzoo) to successfully download the repository and download all requirements. However, I am getting 2 different errors when I ru...
I am using a STM32WL55JC2 Nucleo Board that mounts a dual core M4/M0+, I changed the linker script in order to have more RAM and FLASH on the M4, but this change is not reflected on the X-CUBE AI interface when adding a new network.Is it possible to ...
Hi,Is it possible to get/study the source code of NetworkRuntime810_CM4_gcc.a? This library is added when X-CUBE-AI is used in CubeMX. I'd like to debug 'ai_platform_network_create' routine.
Hi, I need help. I checked all the answers to this question in the community, and tried many methods, but still did not solve.when I use the M4 core and validating an ONNX model on target (STM32F747I-DISCO), I got the following error:E200(ValidationE...
Hello,After reading the FSM document, I was unable to locate any details on uploading and processing input data for FSM configuration. Could you provide me with more information on this topic?
I have tried to follow the example in the following link to build and deploy the Google tensorflow lite micro speech recognition example on the STM32F469I Discovery board using mbed cli: https://developer.arm.com/solutions/machine-learning-on-arm/dev...