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 ...
Hello,I am developing a model for human activity recognition on NEAI based on LSM6DSOX module. I managed to deploy a vanilla version using gyroscope data only, and now I'm creating a new project to deal with 6 axis (3 from gyroscope + 3 from accelero...
I have a TFLite that I can successfully analyze (targeting NUCLEO-L4R5ZI-P board) with X-CUBE-AI. I then quantize the TFLite model using the "full integer quantization" method from the docs. However, when I analyze this quantized model, I'm met with ...
Hii! I'm trying to implement a tensorflow ML model in NUCLEOF401RE Board using XCube.AI and stm32CubeMX. when i download the XCube.AI package and try to add the zipper file in CubeMX im facing an error that "file cannot be deflated". how to solve thi...
I have a LSTM model which was quantized using TensorFlow dynamic, full and float16 quantization. After that, I wanted to benchmark these three quantized models on the STM32AI model zoo. But after importing these models into the web UI and pressing "S...
Hello everyone,I'm currently facing an issue while working with the LSM6DSOX accelerometer.In my setup, the LSM6DSOX accelerometer is not consistently triggering an interrupt on INT1 when the specified threshold is exceeded. Code, connections, and po...
In the STM32Cube.AI workshop - 6 Neural Network (NN) Model creation - YouTube, tutacousticscenes2016 does not work. librosa returns an error message: ModuleNotFoundError: No module named '_soundfile_data'. Please suggest a workaround.
Hello,I have been conducting research for a while for a new project initiation. The project aims to design a smart access control system for 500 users using STM32. In designing this, we are implementing face recognition with FP_AI_FACEREC in the STM3...
Hello, I have a question regarding the evaluation parameters for decision tree results. As you can see in the picture below, the Mean Absolute Error and Root Mean Squared Error are high, but the accuracy is also high. I am confused because I thought ...
