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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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Toc

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

Converting QQVGA images from YCbCr422 to RGB888

When compiling the previous sketch on Arduino, you may have noticed the Low memory available, stability may occur warning in the Arduino IDE output log.

The Arduino IDE returns this warning because the QVGA image with the RGB565 color format needs a buffer of 153.6 KB, which is roughly 60% of the SRAM available in the microcontroller.

In this recipe, we will show how to acquire an image at a lower resolution and use the YCbCr422 color format to prevent image quality degradation.

The following Arduino sketch contains the code referred to in this recipe:

  • 03_camera_capture_qqvga_ycbcr422.ino:

https://github.com/PacktPublishing/TinyML-Cookbook/blob/main/Chapter05/ArduinoSketches/03_camera_capture_qqvga_ycbcr422.ino

Getting ready

The main ingredients to reduce the image size are behind the resolution and color format.

Images are well known for requiring big chunks of memory, which might be a problem when...

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