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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

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800207219
Length 306 pages
Edition 2nd Edition
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Author (1):
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Ashwin Pajankar Ashwin Pajankar
Author Profile Icon Ashwin Pajankar
Ashwin Pajankar
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Table of Contents (15) Chapters Close

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

To get the most out of this book

All of the programs included in all of the chapters in this book are executed on Raspberry Pi with Raspbian OS. You will need a Windows PC and an internet connection to set up Raspbian OS on the Raspberry Pi board. The instructions for setting up on Windows are included in the Appendix section. You are encouraged to use the latest revision of Raspberry Pi (at the time of writing, it is Raspberry Pi 4B); however, the programs will also run on any generation of the boards in the Raspberry Pi family. These programs are written for the Python 3 interpreter and they may not work with Python 2. Apart from the Raspberry Pi board and a Windows PC for the setup, you will also need a Raspberry Pi camera module and a USB webcam. Also, some electronic components, such as push buttons, LEDs, breadboards, and jumper cables, are needed to work with the Python 3 GPIO library.

If you are using the digital version of this book, we advise you to type the code in yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying/pasting of code.

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