Book Image

Computer Vision with OpenCV 3 and Qt5

By : Amin Ahmadi Tazehkandi
4 (1)
Book Image

Computer Vision with OpenCV 3 and Qt5

4 (1)
By: Amin Ahmadi Tazehkandi

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 (19 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface

Chapter 5. The Graphics View Framework

Now that we are familiar with the basic building blocks of computer vision applications in both Qt and OpenCV frameworks, we can move on to learn more about the development of the visualization part in computer vision applications. Talk about computer vision and every user immediately looks for some preview image or video. Take any image editor that you want, for example, they all contain an area on their user interface that is immediately noticeable and can be easily recognized from the rest of the components on the GUI, by some border or even simple lines. The same can be said about the video editing software and literally anything that needs to work with visual concepts and media input sources. Also, the exact same reasoning is true for computer vision applications that we will create. Of course, there are cases where the result of the process is simply displayed as numerical values or sent over the network to some other party involved with the process...