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Computer Vision with OpenCV 3 and Qt5

Computer Vision with OpenCV 3 and Qt5

By : Amin Ahmadi Tazehkandi
4.5 (11)
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Computer Vision with OpenCV 3 and Qt5

Computer Vision with OpenCV 3 and Qt5

4.5 (11)
By: Amin Ahmadi Tazehkandi

Overview of this book

Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment. This book will teach you to develop applications with the combination of OpenCV 3 and Qt5, and how to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book. Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications.
Table of Contents (14 chapters)
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Creating and using plugins

Using plugins in an application is one of the most powerful methods of extending an application, and many of the applications that people use in their daily lives benefit from the power of plugins. A plugin is simply a library (*.dll on Windows, *.so on Linux, and so on) that can be loaded and used at runtime to take care of a specific task, but of course, it cannot be executed like a standalone application, and it depends on the application using it. We will also use plugins throughout this book to extend our computer vision application.

In this section, we will learn how to create an example application (called Image_Filter) that simply loads and uses plugins in a specified folder on the computer. However, before that we will learn how to create a plugin in Qt that uses both Qt and OpenCV frameworks, since our plugin will most probably need to...

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Computer Vision with OpenCV 3 and Qt5
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