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You're reading from  Qt 5 and OpenCV 4 Computer Vision Projects

Product typeBook
Published inJun 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789532586
Edition1st Edition
Languages
C++
Tools
OpenCVQt
Concepts
Computer Vision
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Author (1)
Zhuo Qingliang
Zhuo Qingliang
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Zhuo Qingliang

Zhuo Qingliang (a.k.a. KDr2 online) is presently working at Beijing Paoding Technology Co. LTD., a start-up Fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years experience in Linux, C, C++, Python, Perl, and Java development. He is interested in programming, doing consulting work, participating in and contributing to the open source community (of course, includes the Julia community).
Read more about Zhuo Qingliang

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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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Qt 5 and OpenCV 4 Computer Vision Projects
Published in: Jun 2019Publisher: PacktISBN-13: 9781789532586
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Zhuo Qingliang

Zhuo Qingliang (a.k.a. KDr2 online) is presently working at Beijing Paoding Technology Co. LTD., a start-up Fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years experience in Linux, C, C++, Python, Perl, and Java development. He is interested in programming, doing consulting work, participating in and contributing to the open source community (of course, includes the Julia community).
Read more about Zhuo Qingliang

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