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X-CUBE-AI

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AI expansion pack for STM32CubeMX

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Product overview

Description

X-CUBE-AI is an STM32Cube Expansion Package part of the STM32Cube.AI ecosystem and extending STM32CubeMX capabilities with automatic conversion of pre-trained Artificial Intelligence algorithms, including Neural Network and classical Machine Learning models, and integration of generated optimized library into the user's project. The easiest way to use it is to download it inside the STM32CubeMX tool (version 5.4 or newer) as described in user manual Getting started with X-CUBE-AI Expansion Package for Artificial Intelligence (AI) (UM2526). The X-CUBE-AI Expansion Package offers also several means to validate Artificial Intelligence algorithms both on desktop PC and STM32, as well as measure performance on STM32 devices without user handmade ad hoc C code.

  • All features

    • Generation of an STM32-optimized library from pre-trained Neural Network and classical Machine Learning models
    • Native support for various Deep Learning frameworks such as Keras and TensorFlow™ Lite, and suppport for all frameworks that can export to the ONNX standard format such as PyTorch™, Microsoft® Cognitive Toolkit, MATLAB® and more
    • Support for various built-in scikit-learn models such as isolation forest, support vector machine (SVM), K-means and more
    • Supports 8-bit quantization of Keras networks and TensorFlow™ Lite quantized networks
    • Allows the use of larger networks by storing weights in external Flash memory and activation buffers in external RAM
    • Easy portability across different STM32 microcontroller series through STM32Cube integration
    • With a TensorFlow™ Lite Neural Network, code generation using either the STM32Cube.AI runtime or TensorFlow™ Lite for Microcontrollers runtime
    • Free, user-friendly license terms
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