Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
Hello,I used the example DCMI_CaptureMode for the STM32F769I-EVAL and the CubeMX generator with CubeAI in order to make an object classifier on board. It worked well with the internal RAM for 28*28*1 pictures but now that I want it to work for 128*12...
I'm trying to deploy a machine learning model to an STM32H743ZIT6 through cube-ai extension. The model is in .tflite format. When I try to analyze the model this is the result:The tool states that the MCU has 512KB total available and the model excee...
I convert .ucf file to .h by using unico GUI. But I couldn't set the register values via HAL I2C functions. I couldn't get any decision tree result./* ****************************************************************************** * @file LSM6DSO...
FP-AI-VISION1 has many interesting examples. However, all of them are based on STM32H747I-DISCO. Can anyone provide some instructions and ideas about how to extend the examples in FP-AI-VISION1 to other boards, such as STM32H7B3I or even STM32F7 and ...
This talk at TinyML Summit explains some of the key techniques for optimizing CNN models. The focus in on audio models, but some also apply to other multi-variate time-series and some to image processing.https://www.youtube.com/watch?v=ks5kq1R0aws&t=...
i will work with :1- STM32F103C8 MCU code as main machine controller2- ESP32-WROOM-32D as communication Processor for Serial, Bluetooth, and WIF
Hi!I watched the video from the link below and was very interested in testing the application, but before purchasing the development boards, I would like to know where the sample codes for this demo can be found.https://www.youtube.com/watch?v=HUeyku...
"ImportError: cannot import name 'get_all_providers' from 'onnxruntime.capi._pybind_state' (C:\Users\Systemname\STM32Cube\Repository\Packs\STMicroelectronics\X-CUBE-AI\6.0.0\Utilities\windows\onnxruntime\capi\_pybind_state.pyc)"Please help me to solv...
Hello,We are trying to convert a pre-trained model using X-CUBE-AI on STM32H747IDISO board. Analyze failed due to RAM usage is exceeding 512KB. When we enable Use External RAM & Use Activation Buffer option in advanced setting, it is still failed. ...