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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 from the previous chapters, users are required to have at least Qt version 5 installed and some basic knowledge of C++ and Qt programming. Also, the latest version of Tesseract, version 4.0, should be correctly installed, as we will use this library as the OCR facility in this chapter. For Windows, a prebuilt binary package of Tesseract can be found at https://github.com/UB-Mannheim/tesseract/wiki. For UNIX-like systems, we will build Tesseract from the source step by step before we use it.

Some knowledge of deep learning will also be a big help in understanding the content of this chapter.

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-05.

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

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