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Model Benchmarking
stm32 model zoo app

stm32 model zoo app

Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard

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What is stm32 model zoo app ?

The STM32 Model Zoo App is a tool designed for exploring and managing machine learning (ML) models optimized for STM32 microcontrollers. It provides a centralized dashboard to discover, evaluate, and deploy ML models, enabling developers to streamline their workflow when working with STM32Cube.AI.

Features

  • Model Repository: Access a wide range of pre-trained ML models optimized for STM32 devices.
  • Model Benchmarking: Compare performance metrics such as inference speed, memory usage, and accuracy.
  • Model Management: Easily deploy, update, and manage ML models for STM32-based projects.
  • STM32Cube.AI Integration: Seamless integration with STM32Cube.AI tools for end-to-end model deployment.
  • Customizable: Tailor models to fit specific application requirements.
  • Real-Time Insights: Monitor model performance and resource usage in real-time.

How to use stm32 model zoo app ?

  1. Launch the App: Open the STM32 Model Zoo App on your system.
  2. Browse Models: Explore the model repository and filter by criteria such as model type, performance, or application domain.
  3. Select a Model: Choose a model that suits your project requirements.
  4. Configure Settings: Adjust model parameters and project settings as needed.
  5. Generate Code: Export the optimized model and generate corresponding STM32Cube.AI code.
  6. Deploy: Integrate the model into your STM32-based application and test its performance.

Frequently Asked Questions

What platforms are supported by the STM32 Model Zoo App?
The app supports STM32 microcontrollers and is compatible with STM32Cube.AI tools.

How do I update models in the STM32 Model Zoo App?
Models are regularly updated by STMicroelectronics. Users can refresh the model repository within the app to access the latest versions.

Is technical support available for the STM32 Model Zoo App?
Yes, users can access documentation, forums, and support resources through the STM32Cube.AI ecosystem.

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