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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 (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

Summary


Throughout your career as a developer or your studies and research, you will come across the word, sustainable a lot. This chapter's goal was to introduce you to the basic concepts of creating a sustainable application in general, and a computer vision application using Qt and OpenCV in particular. You are now familiar with creating plugins, which consequently means you can create an application that can be extended by reusable libraries created by third-party developers (or yourself, of course) and without the need to rebuild the core application. In this chapter, you also learned about customizing the look and feel of a Qt application and creating multi-language Qt applications.

It was a long, but hopefully rewarding chapter. If you have followed through every example and step-by-step instruction, then by now you should be familiar with some of the most crucial techniques of cross-platform application development using the Qt framework. In this chapter, you learned about styling...

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