Zhuo Qingliang - 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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Zhuo Qingliang (also known as 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).

Christian Stehno studied computer science, receiving his diploma from Oldenburg University, Germany. Since 2000 he worked in computer science, first as a researcher on theoretical computer science at Oldenburg University, later switching to embedded system design at OFFIS institute. In 2010, he started his own company, CoSynth, which develops embedded sensor and camera systems for industrial automation. In addition, he is a long-time member of the Irrlicht 3D engine developer team.

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We are entering the age of intelligence. Today, more and more digital devices and applications deliver features facilitated by artificial intelligence technology. Computer vision technology is an important part of artificial intelligence technology, while the OpenCV library is one of the most comprehensive and mature libraries for computer vision technology. OpenCV goes beyond traditional computer vision technology; it incorporates many other technologies, such as DNN, CUDA, OpenGL, and OpenCL, and is evolving into a more powerful library. But, at the same time, its GUI facility, which is not the main feature of the library, isn't evolving very much. Meanwhile, among the many GUI development libraries and frameworks, there is one that is the best at crossing platforms, has the best ease of use, and has the greatest widget diversitythe Qt library. The goal of this book is to combine OpenCV and Qt to develop fully-fledged applications providing many interesting features.

This book is a practical guide to the OpenCV library and GUI application development with Qt. We'll develop a complete application in each chapter. In each of those applications, a number of computer vision algorithms, Qt widgets, and other facilities will be covered, and a well-designed user interface with functional features will be created.

This book is the result of months of hard work, and it would not have been possible without the invaluable help of the Packt team and the technical reviewer.

This book is designed for all those developers who want to know how to use the OpenCV library to process images and videos, for those who want to learn GUI development with Qt, for those who want to know how to use deep learning in the computer vision domain, and for those who are interested in developing fully-fledged computer vision applications.

, Building an Image Viewer, covers building our first application with Qt. We will build an image viewer, with which we can browse images in a folder. We'll also be able to zoom in or out of the image while viewing it.