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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

As we saw in the previous chapters, you are required to have Qt version 5 (at least) installed and have basic knowledge of C++ and Qt programming. Also, the latest version of OpenCV (4.0) should be correctly installed. Besides the core and imgproc modules, the video and videoio modules of OpenCV will also be used in this chapter. Following the previous chapters, these requirements must be already met.

In this chapter, we will show you how to handle cameras, so you need to have a webcam, either a built-in one or an external one, which can be accessed from your computer.

A basic knowledge of multi-threading is also a requirement of this chapter.

All the code for this chapter can be found in this book's GitHub repository at https://github.com/PacktPublishing/Qt-5-and-OpenCV-4-Computer-Vision-Projects/tree/master/Chapter-03.

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