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 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...
Hi,I’m currently trying to upload the following LSTM model into a STM32L476RG via X-CUBE-AIUploading the Keras .h5 model works well, however when I try to upload the TensorFlow Lite converted version of the same model, I get the following prompt:Any ...
Hi, is there any methods to increase the FPS and decrease the inference time of image classification model on STM32H747I-DISCO board? Currently, my FPS is 1.6 and inference is 626ms. I am trying to do this project: https://wiki.st.com/stm32mcu/wiki/A...
Hello everyone!Please assist me as I need a BMI323 sensor integrated on any STM32 series on a single board where I will be performing Machine Learning. I'm hoping to hear from you shortly.@stm
Good afternoon, I need to implement a model called "Machine Learning core" on my STM32WB board, https://www.futureelectronics.com/ftm/connectivity/future-electronics-sensor-based-machine-learning/ I created the STM32WB+X-NucleoIKS01A3 stack. I need t...
