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Raspberry Pi Computer Vision Programming

You're reading from Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3

Product type Paperback

Published in Jun 2020

Publisher Packt

ISBN-13 9781800207219

Length 306 pages

Edition 2nd Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Ashwin Pajankar

View More author details

Table of Contents (15) Chapters

Preface

1. Chapter 1: Introduction to Computer Vision and the Raspberry Pi

2. Chapter 2: Preparing the Raspberry Pi for Computer Vision FREE CHAPTER

3. Chapter 3: Introduction to Python Programming

4. Chapter 4: Getting Started with Computer Vision

5. Chapter 5: Basics of Image Processing

6. Chapter 6: Colorspaces, Transformations, and Thresholding

7. Chapter 7: Let's Make Some Noise

8. Chapter 8: High-Pass Filters and Feature Detection

9. Chapter 9: Image Restoration, Segmentation, and Depth Maps

10. Chapter 10: Histograms, Contours, and Morphological Transformations

11. Chapter 11: Real-Life Applications of Computer Vision

12. Chapter 12: Working with Mahotas and Jupyter

13. Chapter 13: Appendix

14. Other Books You May Enjoy

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Summary

We learned the basics of Python 3 programming in this chapter. We also learned about the SciPy ecosystem and experimented with the NumPy and Matplotlib libraries. Finally, we saw how to use the GPIO pins of the RPi with LEDs and push buttons.

In the next chapter, we will get started with Python 3 and OpenCV programming. We will also try out a lot of hands-on exercises to learn about programming using a webcam and a RPi camera module.

The rest of the chapter is locked

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Authors (1)

Ashwin Pajankar

Ashwin Pajankar

Ashwin Pajankar is an author, a YouTuber, and an instructor. He graduated from the International Institute of Information Technology, Hyderabad, with an MTech in Computer Science and Engineering. He has been writing programs for over two and a half decades. He is proficient in Linux, Unix shell scripting, C, C++, Java, JavaScript, Python, PowerShell, Golang, HTML, and assembly language. He has worked on single-board computers such as Raspberry Pi and Banana Pro. He is also proficient with microcontroller boards such as Arduino and the BBC Micro:bit. He is currently self-employed and teaches on Udemy and YouTube. He also organizes programming boot camps for working professionals and software companies.

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