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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

Summary


In this chapter, we learned about the Qt Quick Application development and the QML language. We started with the bare syntax of this highly readable and easy-to-use language, and then moved our way to developing applications that contain components that can interact with each other in order to achieve a common goal. We learned how to fill the gap between the QML and C++ codes and then built a visual and a non-visual class to process and display images processed using OpenCV. We also went through a brief introduction of the tools required in order to build and run the same applications on Android and iOS platforms. The final chapter of this book was meant to help you get up on your feet by starting to develop quick and beautiful applications using the new Qt Quick Controls 2 module, and also combining the power of C++ codes and third-party frameworks such as OpenCV to achieve the maximum power and flexibility in developing mobile and desktop applications.

Building cross-platform and...

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