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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

Qt Test Framework


and testing while developing your applications is completely unavoidable, but the one thing that many developers tend to miss is to take care of unit testing, which is even more important, especially in big projects and applications that are hard to fully test manually, every time they are built or a bug is fixed somewhere in their code. Unit testing refers to a method of testing parts and pieces (units) in an application to make sure they are working as intended. It's also worth noting that Test Automation, which is one of the hot topics of software development nowadays, is the process of automating unit tests using third-party software or programming.

In this section, we will learn about using the Qt Test Framework, or Qt Test Namespace, to be precise (along with a few additional test-related classes), that can be used to develop unit tests for applications built with Qt. As opposed to third-party testing frameworks, the Qt Test Framework is an in-house (based on Qt Framework...

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