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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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Technical requirements

The code files of this chapter can be found on GitHub at https://github.com/PacktPublishing/raspberry-pi-computer-vision-programming/tree/master/Chapter05/programs.

Check out the following video to see the Code in Action at https://bit.ly/2V8vzev.

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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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