This directory contains notebook examples to run STM32 model zoo. These notebooks should be downloaded, then uploaded Jupyter or Colab.
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STM32AI_Model_Zoo_Colab.ipynb shows how to train an image classification model on a custom or public dataset using our scripts.
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STM32CubeAI_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://stm32ai-cs.st.com.
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ONNX_model_quantization.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.