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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
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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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Summary

In this chapter, we planned to measure the distance between cars or between a car and a camera using OpenCV. First, we created a new application named DiGauge to detect cars from the camera by abridging the Detective application we developed in the previous chapter. Then, we talked about the principles of distance measuring in the computer vision domain in two view modes—the bird's eye view and the eye-level view. After that, we implemented the distance measurement features in these two view modes in our application and added a menu on the UI to switch between the two view modes.

In the next chapter, we will introduce a new technology called OpenGL and see how we can use it in Qt and how it can help us in the computer vision domain.

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Qt 5 and OpenCV 4 Computer Vision Projects
Published in: Jun 2019Publisher: PacktISBN-13: 9781789532586

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