In this online course, we explain the STM32 model zoo services as assets of scripts, services, and application code. The services are used to ease the end to end AI models integration on ST devices, in particular STM32N6 embedding neural processing unit. This can be used with the STM32 model zoo, which contains a collection of reference deep learning models optimized to run on STM32 microcontrollers. We propose a lab, implementing automated deployment of object detection AI model on STM32N6570-DK board as an example of STM32 model zoo services operation.
What you'll learn
- STM32 model zoo services repository structure and supported operations
- How to configure/create yaml script to perform automated operation or chain of operation
- How to deploy an object detection model on STM32N6570-DK board, having in mind, the flow is similar for another use cases
- How to update your embedded project with a new model and/or a new version of ST Edge AI Core
- What is the difference between STM32 model zoo services and STM32 model zoo
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Prerequisites
- STM32N6 development board STM32N6570-DK
- A computer running the 64-bit version of Windows® 10 or 11, with administrator rights for software and driver installation, USB Type-C® port
- USB Type-C® – USB Type-C® cable (low resistance due to STM32N6570-DK board current consumption).
- The following software installed:
More details are found in the preparation video:
"STM32N6 STEdgeAI-Core command-line development pipeline - Preparation"
Ready to get started?
The videos are available at our YouTube playlist at the URL:
MOOC - Introduction to STM32 model zoo services - deploy AI model on STM32N6 MCU
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