Amin Ahmadi Tazehkandi - Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications
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- Book:Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications
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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
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. Well begin by introducing Qt, its IDE, and its SDK. Next youll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. Youll go on to build a full-fledged computer vision application throughout the book.
Later, youll create a stunning UI application using the Qt widgets technology, where youll display the images after they are processed in an efficient way. At the end of the book, youll learn how to convert OpenCV Mat to Qt QImage. Youll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. Youll 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
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 OpenCV 3 is assumed, if youre familiar with these frameworks, youll benefit.
Table of Contents- Introduction to Qt and OpenCV
- Creating our first Qt and OpenCV project
- Creating a comprehensive Qt+OpenCV project
- Mat and Qimage
- The Graphics View Framework
- Image Processing in OpenCV
- Features and Descriptors
- Multi-Threading
- Video Analysis
- Debugging and Testing
- Static Linking and Deployment
- Computer Vision Apps for Android and iOS
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Copyright 2018 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
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First published: January 2018
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ISBN 978-1-78847-239-5
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This book is dedicated to the open source communities and you, the bright minded developers, working hard to build a better world for all of us.
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Around 20 years ago, when I was graduating from university, development of large and complex applications that included a graphical user interface was a time-consuming and difficult task. The APIs and tools that existed at that time to create those applications were difficult to use and understand. Creating applications for multiple platforms required writing a large part of it several times.
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