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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

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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