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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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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to OpenCV and Qt FREE CHAPTER 2. Creating Our First Qt and OpenCV Project 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

Mat and QImage

In Chapter 3, Creating a Comprehensive Qt+OpenCV Project, we learned about the basic rules of creating a comprehensive and sustainable application that can look appealing, support multiple languages, and be easily extendable by using the plugins system in Qt. We're now going to expand our knowledge base regarding the foundations of a computer vision application even more by learning about the classes and structures responsible for handling computer vision data types. Learning about the basic structures and data types required by both the OpenCV and Qt frameworks is the first step in understanding how the underlying computer vision functions that process them perform when executed in an application. OpenCV is a computer vision framework that aims for speed and performance. Qt on the other hand, is a growing application development framework with a massive number...

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