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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 (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

Chapter 10. Debugging and Testing

We have come a long way since the start of our computer vision journey with OpenCV 3 and Qt5 Frameworks. We can now very easily install these powerful frameworks and configure a computer running a Windows, macOS, or Linux operating system so that we can design and build computer vision applications. Over the course of the previous chapters, we learned how to use the Qt plugin system to build modular and plugin-based applications. We learned how to style our apps using Qt Style Sheets and also make them support multiple languages by using the internationalization technologies in Qt. We built powerful graphics viewer applications using the Qt Graphics View Framework. The classes in this framework helped us deal with displaying graphical items much more efficiently and with much more flexibility. We were able to build graphics viewers that could zoom in and out of images without having to deal with the source image itself (thanks to the Scene-View-Item Architecture...

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