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...
Hello, the question may be stupid but everywhere I go I see people using the STM32H747 for the different examples in the FP-AI-VISION1 that can be found here. But I only have a STM32F429I-DISCO that is compatible for the X-CUBE-AI pack.The part that ...
Hello,I have created an Artificial intelligence project to be implemented on Nucleo-144 (stm32h745) board. The stm32cubeide created a set of related source and header files all grouped in the X-CUBE-AI folder.I defined variables in my main.c followin...
Hi, it seems to be a common error in STM32 devices. It happens when I try to validate on target after analyze the model. I tried to fix it according to the answers in community. But those solutions given in community or other websites doesn't help. A...
I have a model file(.h5) and Analyze is failing with keras(.h5) model at STMCubeMX and throwing INTERNAL ERROR: The layer has never been called and thus has no defined input shape.Need help in understanding the issue and resolution for the same.My mo...
I have an AI model that detects the human activity and saved the model in .h5 format and converted it into .tflite image. When I upload the image into STMCubeMX and analyze the model, analyze is failing and showing as NOT IMPLEMENTED: Transpose of ba...
Hi, am using STM32H747- Discovery board. FP-AI-VISION1 function pack which is already running in that board. Now I want use that board in PicoVoice. Am not able to connect the device in Picovoice. Am not able to upload the firmware. I tried installed...
E200(ValidationError): stm32: Unable to bind the STM AI runtime with "network" c-model: [] connection to "serial:115200"/"115200" run-time fails E801(HwIOError): Invalid firmware - COM4:115200I have already tried the following:Using CubeMX and IAR ...
We have created an LSTM model using Keras, and decreased its size to use it on our STM32F746G-Disco board. Our model can actually process dynamic size records. This means that, we do not need fix the size of the record. We could realize it on Google ...
or any hardware at all ? like stm32l4 dev board ?