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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 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

Behind the scenes

In Chapter 2, Creating Our First Qt and OpenCV Project, you learned how to create a simple Qt+OpenCV application called Hello_Qt_OpenCV. This project included almost all of the basic features provided by Qt, although we didn't go into too much detail on how our project was built into an application with a user interface and an (almost acceptable) behavior. In this section, you will learn about what went on behind the scenes when we clicked on the Run button. This will help us with a better understanding of the structure of a Qt project and what the purpose of each file in the project folder is. Let's start by opening the project folder and going through the few files one by one. So, we have the following in the Hello_Qt_OpenCV folder:

    Hello_Qt_OpenCV.pro 
    Hello_Qt_OpenCV.pro.user 
    main.cpp 
    mainwindow.cpp 
    mainwindow.h...
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