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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 FREE CHAPTER 2. Editing Images Like a Pro 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 with the previous chapters, readers are required to have Qt of at least version 5 and OpenCV 4.0.0 installed. Having some basic knowledge about C++ and Qt programming is also a basic requirement.

Though we are focusing on OpenCV 4.0.0, OpenCV 3.4.x is also required in this chapter. You should have multiple versions (4.0.0 and 3.4.5) of OpenCV installed to follow along with this chapter. I will explain why later.

Since we will use deep learning models to detect objects, having knowledge of deep learning will also be a big help in understanding the contents 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-06.

Check out the following video to see the code in action: http://bit.ly/2Fjx5SS

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