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Raspberry Pi Computer Vision Programming. - Second Edition

You're reading from  Raspberry Pi Computer Vision Programming. - Second Edition

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781800207219
Pages 306 pages
Edition 2nd Edition
Languages
Author (1):
Ashwin Pajankar Ashwin Pajankar
Profile icon Ashwin Pajankar

Table of Contents (15) Chapters

Preface Chapter 1: Introduction to Computer Vision and the Raspberry Pi Chapter 2: Preparing the Raspberry Pi for Computer Vision Chapter 3: Introduction to Python Programming Chapter 4: Getting Started with Computer Vision Chapter 5: Basics of Image Processing Chapter 6: Colorspaces, Transformations, and Thresholding Chapter 7: Let's Make Some Noise Chapter 8: High-Pass Filters and Feature Detection Chapter 9: Image Restoration, Segmentation, and Depth Maps Chapter 10: Histograms, Contours, and Morphological Transformations Chapter 11: Real-Life Applications of Computer Vision Chapter 12: Working with Mahotas and Jupyter Chapter 13: Appendix Other Books You May Enjoy

Working with images using OpenCV

In this section, we will learn to read and store images using the OpenCV API and Python. All the programs in this book will use the OpenCV library. It can be imported with the following Python 3 statement:

import cv2

The cv2.imread() function reads an image from the disk and stores it in a NumPy ndarray. It accepts two arguments. The first argument is the name of the image file on the disk. The image should either be in the same directory where we are saving the current Python 3 script, or we must pass the absolute path of the image file as an argument to the cv2.imread() function.

The second argument is a flag that specifies the mode in which the image should be read. The flag can have one of the following values:

  • cv2.IMREAD_GRAYSCALE: This reads an image from the disk in grayscale mode. The numerical value corresponding to this flag is 0.
  • cv2.IMREAD_UNCHANGED: This reads an image from the disk as it is. The numerical value corresponding...
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