This directory contains notebook examples to run STM32 model zoo. These notebooks should be downloaded, then uploaded Jupyter or Colab.
-
stm32ai_model_zoo_colab.ipynb shows how to train an image classification model on a custom or public dataset using our scripts.
-
stm32ai_devcloud.ipynb shows how to access to the STM32Cube.AI Developer Cloud through ST Python APIs (based on REST API) instead of using the web application https://stedgeai-dc.st.com.
-
stm32ai_quantize_onnx_benchmark.ipynb shows how to quantize ONNX format models with fake or real data by using ONNX runtime and benchmark it by using the STM32Cube.AI Developer Cloud.