Qt Creator is not the same thing as the Qt framework. Yes, that's right; it is just an IDE created by and for the Qt framework. This is what confuses many people who are somewhat new to these terms. So, what does that really mean? In a very basic definition, it means you can use Qt Creator or any other IDE to create Qt applications. At some point, when the Qt framework became rich with classes and functions, the people responsible for Qt decided to create an IDE using the wonderful Qt framework itself, and, voila! An IDE free from the operating systems and C++ compiler types was born. Qt Creator is an IDE that supports better integration with the Qt framework, it's open source (which basically means you can use it for free), it's cross-platform, and it includes almost all the tools required from an IDE. Here's a screenshot of the Welcome...
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Book Overview & Buying
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Table Of Contents
Computer Vision with OpenCV 3 and Qt5
By :
Computer Vision with OpenCV 3 and Qt5
By:
Overview of this book
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.
Table of Contents (14 chapters)
Preface
Free Chapter
Introduction to OpenCV and Qt
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
Multithreading
Video Analysis
Debugging and Testing
Linking and Deployment
Qt Quick Applications
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