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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

Drawing geometric shapes with OpenCV and NumPy

Let's learn how to draw various geometric shapes using the OpenCV drawing functions. We will also use NumPy here.

The following code imports all the required libraries for this demonstration:

import cv2
import numpy as np

The following code creates an RGB ndarray of all zeros. It is an image in which all the pixels are black:

image = np.zeros((200, 200, 3), np.uint8)

We are using the np.zeros() function to create an ndarray of all zero elements.

We'll start by drawing a line, as it is a simple geometric shape. With the help of the following code, we'll draw a line with coordinates (0, 199) and (199, 0), with red color [(0, 0, 255) in BGR], and with a thickness of 2 pixels:

cv2.line(image, (0, 199), (199, 0), (0, 0, 255), 2)

All the OpenCV functions for drawing have the following common parameters:

  • img: This is the image where we need to draw the geometric shapes.
  • color: This is passed...
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