Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

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Creating Our First Qt and OpenCV Project

It's been a long time since the Qt and OpenCV frameworks were introduced to the open source community and the world, but it wasn't until recently that people started noticing the benefits of using the two together, and the combination became popular among computer vision experts. We're in luck since we are at a phase in the history of these two frameworks where they both have been grown enough to be combined very easily, with little or no effort. There are also no more questions about the stability of these frameworks, and they are sometimes used to build applications running on quite sensitive hardware. Even a brief search on the internet would prove this. As we'll learn in this chapter, Qt Creator has become an almost fully-grown IDE, and it provides very easy mechanisms to integrate and build computer vision applications...

Key benefits

? Start creating robust applications with the power of OpenCV and Qt combined

? Learn from scratch how to develop cross-platform computer vision applications

? Accentuate your OpenCV applications by developing them with Qt

Description

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.

What you will learn

? Get an introduction to Qt IDE and SDK

? Be introduced to OpenCV and see how to communicate between OpenCV and Qt

? Understand how to create UI using Qt Widgets

? Learn to develop cross-platform applications using OpenCV 3 and Qt 5

? Explore the multithreaded application development features of Qt5

? Improve OpenCV 3 application development using Qt5

? Build, test, and deploy Qt and OpenCV apps, either dynamically or statically

? See Computer Vision technologies such as filtering and transformation of images, detecting and matching objects, template matching, object tracking, video and motion analysis, and much more

? Be introduced to QML and Qt Quick for iOS and Android application development

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