In Chapter 3, Creating a Comprehensive Qt+OpenCV Project, we learned about the basic rules of creating a comprehensive and sustainable application that can look appealing, support multiple languages, and be easily extendable by using the plugins system in Qt. We're now going to expand our knowledge base regarding the foundations of a computer vision application even more by learning about the classes and structures responsible for handling computer vision data types. Learning about the basic structures and data types required by both the OpenCV and Qt frameworks is the first step in understanding how the underlying computer vision functions that process them perform when executed in an application. OpenCV is a computer vision framework that aims for speed and performance. Qt on the other hand, is a growing application development framework with a massive number...
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Computer Vision with OpenCV 3 and Qt5
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Computer Vision with OpenCV 3 and Qt5
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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)
Preface
Free Chapter
Introduction to OpenCV and Qt
Creating Our First Qt and OpenCV Project
Creating a Comprehensive Qt+OpenCV Project
Mat and QImage
The Graphics View Framework
Image Processing in OpenCV
Features and Descriptors
Multithreading
Video Analysis
Debugging and Testing
Linking and Deployment
Qt Quick Applications
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