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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
Toc

Table of Contents (16) Chapters close

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

Converting a NumPy image into a C-byte array

Our application will be running on a virtual platform with no access to a camera module. Therefore, we must provide a valid test input image for our application to check whether the model works as expected.

In this recipe, we will get an image from the validation dataset belonging to the ship class. The sample will then be converted into an int8_t C array and saved as an input.h file.

Getting ready

To prepare this recipe, we must know how to structure the C file containing the input test image. The structure of this file is quite simple and illustrated in Figure 10.7:

Figure 10.7: The C header file structure for the input test image

As you can observe from the file structure, we only need an array and two variables to describe our input test sample. These variables are as follows:

  • g_test: An int8_t array containing a ship image with the normalized and quantized pixel values. The pixel values (// Data...
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