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TinyML Cookbook - Second Edition

You're reading from  TinyML Cookbook - Second Edition

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781837637362
Pages 664 pages
Edition 2nd Edition
Languages
Author (1):
Gian Marco Iodice Gian Marco Iodice
Profile icon Gian Marco Iodice

Table of Contents (16) Chapters

Preface 1. Getting Ready to Unlock ML on Microcontrollers 2. Unleashing Your Creativity with Microcontrollers 3. Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands 5. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 1 6. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 2 7. Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico 8. Classifying Desk Objects with TensorFlow and the Arduino Nano 9. Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico 10. Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU 11. Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM 12. Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and Raspberry Pi Pico 13. Conclusion
14. Other Books You May Enjoy
15. Index

Grabbing camera frames from the serial port with Python

In the previous recipe, we showed how to take images from the OV7670, but we didn’t provide a method to display them. Therefore, it is now the time to implement a Python script locally to read the pixel values transmitted serially and show the resulting image on the screen.

Getting ready

In this recipe, we will develop a Python script locally to create images from the data transmitted over the serial. To facilitate this task, we will need two main Python libraries:

  • pySerial, which allows us to read the data transmitted serially
  • Pillow (https://pypi.org/project/Pillow), which enables us to create image files from the received data

The Pillow library is a fork of the Python Imaging Library (PIL) and can be installed with the following pip command:

$ pip install Pillow

Using the fromarray() method provided by this library, we can generate images from NumPy arrays that hold...

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