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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Loading and saving an image


OpenCV provides multiple ways of loading an image. Let's say we want to load a color image in grayscale mode, we can do that using the following piece of code:

import cv2
gray_img = cv2.imread('images/input.jpg', cv2.IMREAD_GRAYSCALE)
cv2.imshow('Grayscale', gray_img)
cv2.waitKey()

Here, we are using the ImreadFlag, as cv2.IMREAD_GRAYSCALE, and loading the image in grayscale mode, although you may find more read modes in the official documentation.

You can see the image displayed in the new window. Here is the input image:

Following is the corresponding grayscale image:

We can save this image as a file as well:

cv2.imwrite('images/output.jpg', gray_img)

This will save the grayscale image as an output file named output.jpg. Make sure you get comfortable with reading, displaying, and saving images in OpenCV, because we will be doing this quite a bit during the course of this book.

Changing image format

We can save this image as a file as well, and change the original image format to PNG:

import cv2
img = cv2.imread('images/input.jpg')
cv2.imwrite('images/output.png', img, [cv2.IMWRITE_PNG_COMPRESSION])

The imwrite() method will save the grayscale image as an output file named output.png. This is done using PNG compression with the help of ImwriteFlag and cv2.IMWRITE_PNG_COMPRESSION. The ImwriteFlag allows the output image to change the format, or even the image quality.

You have been reading a chapter from
OpenCV 3.x with Python By Example - Second Edition
Published in: Jan 2018
Publisher: Packt
ISBN-13: 9781788396905
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