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Qt 5 and OpenCV 4 Computer Vision Projects

You're reading from   Qt 5 and OpenCV 4 Computer Vision Projects Get up to speed with cross-platform computer vision app development by building seven practical projects

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789532586
Length 348 pages
Edition 1st Edition
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Author (1):
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Zhuo Qingliang Zhuo Qingliang
Author Profile Icon Zhuo Qingliang
Zhuo Qingliang
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Table of Contents (11) Chapters Close

Preface 1. Building an Image Viewer 2. Editing Images Like a Pro FREE CHAPTER 3. Home Security Applications 4. Fun with Faces 5. Optical Character Recognition 6. Object Detection in Real Time 7. Real-Time Car Detection and Distance Measurement 8. Using OpenGL for the High-Speed Filtering of Images 9. Assessments 10. Other Books You May Enjoy

Technical requirements

Ensure that you at least have Qt version 5 installed and have some basic knowledge of C++ and Qt programming. A compatible C++ compiler is also required, that is, GCC 5 or later on Linux, Clang 7.0 or later on macOS, and MSVC 2015 or later on Microsoft Windows.

Since some pertinent basic knowledge is required as a prerequisite, the Qt installation and compiler environment setup are not included in this book. There are many books, online documents, or tutorials available (for example, GUI Programming with C++ and Qt5, by Lee Zhi Eng, as well as the official Qt library documentation) to help teach these basic configuration processes step by step; users can refer to these by themselves if necessary.

With all of these prerequisites in place, let's start the development of our first application—the simple image viewer.

All the code for this chapter can be found in our code repository at https://github.com/PacktPublishing/Qt-5-and-OpenCV-4-Computer-Vision-Projects/tree/master/Chapter-01.

Check out the following video to see the code in action: http://bit.ly/2KoYWFx

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