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You're reading from  TinyML Cookbook - Second Edition

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837637362
Edition2nd Edition
Concepts
Machine Learning
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Author (1)
Gian Marco Iodice
Gian Marco Iodice
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Gian Marco Iodice

Gian Marco Iodice is team and tech lead in the Machine Learning Group at Arm, who co-created the Arm Compute Library in 2017. The Arm Compute Library is currently the most performant library for ML on Arm, and it's deployed on billions of devices worldwide – from servers to smartphones. Gian Marco holds an MSc degree, with honors, in electronic engineering from the University of Pisa (Italy) and has several years of experience developing ML and computer vision algorithms on edge devices. Now, he's leading the ML performance optimization on Arm Mali GPUs. In 2020, Gian Marco cofounded the TinyML UK meetup group to encourage knowledge-sharing, educate, and inspire the next generation of ML developers on tiny and power-efficient devices.
Read more about Gian Marco Iodice

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Getting familiar with Arduino CLI

In this first recipe, we will install Arduino CLI on our local machine, to be ready to compile and run the code generated by TVM on any Arduino-compatible microcontroller. This step is essential to learn how to use this tool to create sketches for Arduino Nano and Raspberry Pi Pico.

Getting ready

Arduino CLI (https://arduino.github.io/arduino-cli) is a software package that exposes almost all functionalities bundled in the Arduino IDE into a CLI tool. Therefore, using shell commands, you can use Arduino CLI to create new sketches, download libraries, compile and upload programs on Arduino-compatible microcontrollers, and much more!

Arduino CLI is also available as a Python package (pyduinocli), a wrapper library around Arduino CLI. You can discover more about the Python Arduino CLI at the following link: https://pypi.org/project/pyduinocli/.

To install Arduino CLI, you can follow the instructions reported at the following...

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TinyML Cookbook - Second Edition
Published in: Nov 2023Publisher: PacktISBN-13: 9781837637362
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gian Marco Iodice

Gian Marco Iodice is team and tech lead in the Machine Learning Group at Arm, who co-created the Arm Compute Library in 2017. The Arm Compute Library is currently the most performant library for ML on Arm, and it's deployed on billions of devices worldwide – from servers to smartphones. Gian Marco holds an MSc degree, with honors, in electronic engineering from the University of Pisa (Italy) and has several years of experience developing ML and computer vision algorithms on edge devices. Now, he's leading the ML performance optimization on Arm Mali GPUs. In 2020, Gian Marco cofounded the TinyML UK meetup group to encourage knowledge-sharing, educate, and inspire the next generation of ML developers on tiny and power-efficient devices.
Read more about Gian Marco Iodice

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