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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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Integrating C++ and QML codes


Even though the QML libraries have into a fully-fledged collection of types that can handle visuals, networking, cameras, and so on, it's still important to be to extend them by using the power of C++ classes. Fortunately, QML and the Qt Framework provides enough provisions to be able to easily handle this. In this section, we are going to learn how to create a non-visual C++ class that can be used within QML codes to process images using OpenCV. Then, we'll create a C++ class that can be used as a visual item within QML codes to display images.

Note

Note that there is an Image type by default in QML that can be used to display images saved on disk by providing their URL to the Image item. However, we'll be creating an image viewer QML type that can be used to display QImage objects, and use this opportunity to learn about the integration of C++ classes (visual) in QML codes.

Start by adding the OpenCV framework to our project that we created in the previous...

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Computer Vision with OpenCV 3 and Qt5
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