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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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Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Game Programming using Qt 5 Beginner's Guide

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KP Jan 04, 2018

I was a technical reviewer for the book! I can also confirm that it was designed for C/C++ developers with NO previous experience in OpenCV or Qt.The book shares a gentle introduction on these technologies and teaches how to install, configure and compile them on Windows/Linux/MacOS.There's something unique in the author's ability to explain image processing algorithms in a non-mathematical way that makes it fun and a lot easier to understand. My advice to you is: be ready to get your hands dirty and code! This is a hands-on book.You will slowly build a cross-platform application capable of performing complex tasks on images and videos, such as filtering, thresholding, using histograms for different purposes, doing template matching and background/foreground detection, doing motion analysis, just to name a few. This application will also support its own plugin system that encapsulates each image processing feature into its own plugin.There is a lot of content in the book (like the chapter on QML) that deserves to be mentioned. Unfortunately, I don't have enough time (or space) to praise all the great topics on the book, but what I can tell you is that one of the things I rarely see being discussed by books on these subjects is how to properly test the code of your application. Fortunately, this book takes time to explain and demonstrate how to use Qt's Unit Testing framework for this purpose. Would you like to know how to test the graphical interface of your application as well? Fear not, there's another section dedicated to show you how to do this.Overall, I think it is a very complete book that discusses several important aspects of professional cross-platform software development. Here is a topic that I see people asking on Stackoverflow (over and over again): how do you deploy an OpenCV/Qt application? It is my pleasure to break these news and tell you, that finally, someone offered a quality answer to this question: good job, Ahmin! The book not only shares a few alternatives for you to learn how to deploy your application to customers, but it also demonstrates how to create an application installer to make things even easier and more professionally looking.This is a very well-rounded book and it's a great addition to anyone involved in computer vision or doing cross-platform development. I believe it's money well spent and I hope you enjoy reading it too!

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William Feb 04, 2022

Really good explanation but the installation guide doesn't work for Macs with M1

Roman Jul 09, 2018

It's a solid book for beginners in Qt and OpenCV areas.It's best if you have at least some experience with C++.The topics are explained well, and I found it easy to read and understand.

nikoniko Aug 19, 2018

英語の書籍ではありますが、日本で類似の内容の書籍では情報が足りません。少し難易度は高めだと思いますが、画面操作はスクリーンショットに沿って説明されています。特に、プラグイン、マルチスレッド、デバッガーの情報はたすかりました。サンプルの構成がイマイチかなと思いますが、動くサンプルがダウンロードできますので十分です。OpenCVの構成情報は自分の環境に合わせて書く必要はあります。

Murat Ertugrul Feb 07, 2018

i`m reading it and i`m loving it. Some complex topics are written and explained in a simple language.Although i have some experience in Qt, i am enjoying to read through all chapters, because you can expect very useful hints and widening your Knowledge. And the combination with Qt and Computer Vision is very interesting. On one side you are learning or increasing your Knowledge in Qt and on the other side you learn fundamental Computer Vision topics and learn to combine both modern Technologies.

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

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Computer Vision with OpenCV 3 and Qt5

Creating Our First Qt and OpenCV Project

What is Qt Creator?

A tour of the IDE

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