Hello,I have STM32H7S78-DK board and its have ARM cortex M7 core. As per research I saw that AI model is work on the same M7 cortex but I didn't know how it will work? would you please let us know STM32H7S78 supports AI model implements or not and if...
Hello,I want to implement an application for detecting items in the kitchen on an STM32-H747i-DISCO board. I installed Python 3.10.2, TensorFlow 2.8, CUDA 11.7, and cuDNN v8.8.1. After installing the model zoo , I tried running the command in Comman...
How to figure out which model can be deployed on the board, according to the available RAM on the board.The ST-yolo-LC model from the ST model zoo seems to fit the board's RAM availability,(i) is it possible to train this model for my own usecase i.e...
I wanted to share some feedback regarding the use of ModelZoo, as you previously recommended. Unfortunately, after dedicating significant time—about a month—to working with it, I have encountered numerous challenges that have made it difficult to ach...
When I try to launch the "train.py" file, in conda virtual environment it gives me an error "ModuleNotFoundError: No module named 'logs_utils'". This is a module called on the code line 23 of the train.py. After that I've proceed with a "pip list" to...
Hello, I am trying to train your models on a custom dataset created with the STM32F401 and X-NUCLEO 53L5A1 expansion board, and I am new to these things. I have downloaded the hand_posture folder on the model zoo section on GitHub, and followed all ...
Hi,I am trying to analyse a pre-trained model (Keras, .h5) using STM32CubeMX X-CUBE-AI software and encountered the error “[AI:network_1] NOT IMPLEMENTED: Unsupported layer type: SlicingOpLambda”. The model is trained with the stm32ai-modelzoo libra...
hello everyone.I created a project for the STM32H747I-DISCO chip, the goal was to run an image classification model on it.I used a model from model zoo. and did quantization on it following the instructions there.The part where I am stuck is when I g...
Hello! I recently used stm model zoo and deployed an image classification model on a chip. The flashing part is made automatically if the chip is connected, but I was wondering how to do it manually (using another software)?I get these folders after ...
My use case is about computer vision (yolo model preferably) and how to monitor its inference in order to have an idea of its carbon footprint when running on the chip. I heard that stm32-zoo has a yolo model available, so it is possible to use it on...