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TinyML Cookbook

You're reading from   TinyML Cookbook Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814973
Length 344 pages
Edition 1st Edition
Tools
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Author (1):
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Gian Marco Iodice Gian Marco Iodice
Author Profile Icon Gian Marco Iodice
Gian Marco Iodice
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Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Getting Started with TinyML 2. Chapter 2: Prototyping with Microcontrollers FREE CHAPTER 3. Chapter 3: Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Chapter 4: Voice Controlling LEDs with Edge Impulse 5. Chapter 5: Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano 6. Chapter 6: Building a Gesture-Based Interface for YouTube Playback 7. Chapter 7: Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS 8. Chapter 8: Toward the Next TinyML Generation with microNPU 9. Other Books You May Enjoy

Building a gesture-based interface with PyAutoGUI

Now that we can recognize the hand gestures with the Raspberry Pi Pico, we must build a touchless interface for YouTube video playback.

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

The following Python script contains the code that's referred to in this recipe:

  • 07_gesture_based_ui.py:

https://github.com/PacktPublishing/TinyML-Cookbook/blob/main/Chapter06/PythonScripts/07_gesture_based_ui.py.

Getting ready

The Python script that we will develop in this recipe will not be implemented in Google Colaboratory because that requires accessing the local serial port, keyboard, and monitor. Therefore, we will write the program in a local Python development environment.

We only need two libraries to build our gesture...

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