Computer Vision with OpenCV 3 and Qt5: Build visually appealing,multithreaded,cross-platform computer vision applications
Authors: Amin Ahmadi Tazehkandi
ISBN-10: 178847239X
ISBN-13: 9781788472395
Released: 2018-01-02
Print Length 页数: 486 pages
Publisher finelybook 出版社: Packt
Book Description
Build visually appealing,multithreaded,cross-platform computer vision applications
Blend the power of Qt with OpenCV to build cross-platform computer vision applications
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
contents
1 Introduction to OpenCV and Qt
2 Creating Our First Qt and OpenCV Project
3 Creating a Comprehensive Qt+OpenCV Project
4 Mat and QImage
5 The Graphics View Framework
6 Image Processing in OpenCV
7 Features and Descriptors
8 Multithreading
9 Video Analysis
10 Debugging and Testing
11 Linking and Deployment
12 Qt Quick Applications
