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

Blend the power of Qt with Open CV to build cross-platform computer vision applications

Key Features

• ● Start creating robust applications with the power of Open CV and Qt combined


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


• ● Accentuate your Open CV applications by developing them with Qt

Book Description

Developers have been using Open CV 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 Open CV 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 Open CV API to integrate both tools, and see how to configure Qt to use Open CV. 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 Open CV 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 Open CV applications.

What you will learn

• ● Get an introduction to Qt IDE and SDK


• ● Be introduced to Open CV and see how to communicate between Open CV and Qt


• ● Understand how to create UI using Qt Widgets


• ● Learn to develop cross-platform applications using Open CV 3 and Qt 5


• ● Explore the multithreaded application development features of Qt5


• ● Improve Open CV 3 application development using Qt5


• ● Build, test, and deploy Qt and Open CV 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 i OS and Android application development

Who this book is for

This book is for readers interested in building computer vision applications. Intermediate knowledge of C++ programming is expected. Even though no knowledge of Qt5 and Open CV 3 is assumed, if you’re familiar with these frameworks, you’ll benefit.

Amin Ahmadi Tazehkandi is an Iranian developer and a computer vision expert. He completed his computer software engineering studies in Iran and has worked for numerous software and industrial companies, including Paxan (Turkey) and Petroleum Software (UK). Amin is a passionate blogger and a longtime volunteer and supporter of the Computer Vision community. He currently resides in Vienna, Austria, where he continues to research, develop, and write about cross-platform computer vision software development.