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Computer Vision with OpenCV 3 and Qt5

You're reading from   Computer Vision with OpenCV 3 and Qt5 Build visually appealing, multithreaded, cross-platform computer vision applications

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788472395
Length 486 pages
Edition 1st Edition
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Author (1):
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Amin Ahmadi Tazehkandi Amin Ahmadi Tazehkandi
Author Profile Icon Amin Ahmadi Tazehkandi
Amin Ahmadi Tazehkandi
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Table of Contents (14) Chapters Close

Preface 1. Introduction to OpenCV and Qt 2. Creating Our First Qt and OpenCV Project FREE CHAPTER 3. Creating a Comprehensive Qt+OpenCV Project 4. Mat and QImage 5. The Graphics View Framework 6. Image Processing in OpenCV 7. Features and Descriptors 8. Multithreading 9. Video Analysis 10. Debugging and Testing 11. Linking and Deployment 12. Qt Quick Applications 13. Other Books You May Enjoy

Drawing in OpenCV

It's impossible to ignore drawing text and shapes on an image when the subject is OpenCV and computer vision in general. For countless reasons, you will need to draw (output) some text or shapes on the output images. For example, you may want to write a program that prints the date of the image (or images) on it. Or you may want to draw a square around faces in the image after performing a face detection. Even though Qt framework also provides quite powerful functions to deal with such tasks, it is also possible to use OpenCV itself to draw on images. In this section, you will learn about using OpenCV drawing functions one by one, which are surprisingly very easy to use, along with example codes and output results.

Drawing functions in OpenCV accept an input and output image, quite understandably, along with a few parameters which are common to most of them...

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