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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

Low-level multithreading using QThread


In this section, we will learn how to use QThread and its classes to create multithreaded applications. We will go through this by creating an example project, which processes and displays the input and output from a video source using a separate thread. This helps leave the GUI thread (main thread) free and responsive while more intensive processes are handled with the second thread. As it was mentioned earlier, we will focus mostly on the use cases common to computer vision and GUI development; however, the same (or a very similar) approach can be applied to any multithreading problem.

We will use this example project to implement multithreading using two different approaches available in Qt for working with QThread classes. First, subclassing and overriding the run method, and second, using the moveToThread function available in all Qt objects, or, in other words, QObject subclasses.

Subclassing QThread

Let's start by creating an example Qt Widgets...

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