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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 (19) Chapters Close

Title Page
Dedication
Packt Upsell
Foreword
Contributors
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 1. Other Books You May Enjoy

Chapter 12. Qt Quick Applications

Using Qt Widgets Application projects allows the creation of flexible and powerful GUIs by using the Qt Creator Design mode, or manually modifying the GUI files (*.ui) in a text editor. Up until now and throughout the chapters of this book, we relied on Qt Widgets applications as the basis for the GUIs that we created, and as we learned in Chapter 3, Creating a Comprehensive Qt+OpenCV Project, we use style sheets to effectively alter the look and feel of our Qt applications. But apart from Qt Widgets applications and using QtWidgets and QtGui modules, there is another approach to the creation of GUIs that is offered by the Qt Framework. This approach is based on the QtQuick module and the QML language, and it allows the creation of far more flexible (in terms of the look, feel, animations, effects, and so on) GUIs and with much more ease. Applications created by using this approach are referred to as Qt Quick applications. Note that in more recent Qt versions...

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