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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 (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

Multi-language support

In this section, you will learn how to create applications that support multiple languages using the Qt framework. In fact, it all comes down to a single class that is extremely easy to use. The QTranslator class is the main Qt class responsible for handling internationalization of output (displayed) text. You simply need to make sure of the following:

  1. Use a default language (English, for instance) while you are building your project. This means, simply use sentences and words in the default language for everything that is displayed.
  2. Make sure all literal sentences in your code, or to be specific, all literal sentences that need to be translated when a different language is selected are embraced in a tr() function.
For example, in the code, if you need to write a literal sentence such as Open Input Image (as we did in the Hello_Qt_OpenCV...
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