Anglický jazyk

COMPUTER VISION W/OPENCV 3 & Q

Na objednávku, dodanie 2-4 týždne

57.60 €

bežná cena: 64.00 €

O knihe

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

Key Features

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

Book 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. This book will teach you 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

Know 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