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You're reading from  TinyML Cookbook - Second Edition

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837637362
Edition2nd Edition
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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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Building a gesture-based interface with PyAutoGUI

Now that we can recognize the hand gestures with the Raspberry Pi Pico, our final objective is to create a touchless interface for controlling YouTube video playback.

In this recipe, we will develop a Python script to read the recognized motion transmitted over the serial port and use the PyAutoGUI library to build a gesture-based interface to play, pause, mute, unmute, and change YouTube videos.

Getting ready

The Python script that we are going to develop in this recipe relies primarily on two Python libraries:

  • pySerial, which allows us to read the data transmitted serially
  • PyAutoGUI (https://pyautogui.readthedocs.io/), which allows controlling the mouse and simulating keyboard input

The PyAutoGUI library can be installed with the following pip command:

$ pip install pyautogui

The API of this PyAutoGUI has been designed to be very simple to use. For example, we can easily...

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TinyML Cookbook - Second Edition
Published in: Nov 2023Publisher: PacktISBN-13: 9781837637362

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