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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 we saw in the previous chapters, users are required to have at least Qt version 5 installed and have basic knowledge of C++ and Qt programming. Also, the latest version of OpenCV, 4.0, should be correctly installed. Additionally, besides the core and imgproc modules, the video and videoio modules of OpenCV will also be used in this chapter. If you have been through the previous chapters, then these requirements will have already been met.

We will use some pretrained machine learning models provided by OpenCV to detect faces and facial landmarks, so it is better if you have some basic knowledge of machine learning technology. Some of these machine learning models are from the extra modules of the OpenCV library, so the extra modules of OpenCV must also be installed along with the core modules. If you are not sure about this, don't worry, we will install...

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