Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
Hello,I am doing a project for fall detectino using the MLC in the LSM6DSOX. However, i noticed that the output of the sensor for the accelerometer show values on the 1000 mg range for the z axis. I would like to calibrate the sensro but the only way...
In the TensorFlow model optimization docs they talk about reducing model size with weight pruning and weight clustering. Will either of these techniques help reduce my flash requirements for running my model using the STM AI tools?I've been experimen...
The STM32CubeMX AI tool has an option to compress a model. Is there any way to get compression to work on an quantized model? I'm guessing the answer is no because when I try with a .tflite or .onnx model it complains that only float or double is sup...
Hi,I'm trying to analyze my ONNX model (converted from PyTorch) in STM32 X-CUBE-AI version 8.1.0. But it shows this error: NOT IMPLEMENTED: Unsupported layer types: Expand.I can't find a solution on Google. What do I need to do to analyze/import my m...
Hello,I want to deploy a AI model on B-U585I-IOT02A board. I'm using the X-Cube-AI plugin for that. Since my model is not able to run on internal flash and RAM, I have selected to use external FLASH and SRAM (from advanced settings in X-Cube-AI). The...
Hi, can I use NanoEdge AI Studio to make machine learning library that runs on sensor ISPU but using non STM32 MCU?Thanks.
Hello, I have recently discovered the cube.AI developer cloud tool and was trying to test it out. For that purpose i have created a small CNN based Auto Encoder neural network; I have created, trained and validated the network with PyTorch, then save...
I am using the STM32Cube.AI Developer Cloud to convert my ONNX model that I built using PyTorch.Here is my export code:input_size = [1, 8, 1000] x = torch.randn(input_size) onnx_folder_path = 'onnx_models/' if not os.path....
