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

Summary


In this chapter, you were introduced to the concept of Computer Vision in general and to the Qt and OpenCV frameworks, and you learned about their overall modular structure and also got a brief look into how seriously cross-platform they are with all the platforms they both support. You also learned how to install Qt on a computer and how to build OpenCV using its source codes. By now, you should have enough confidence to even try out a few different configurations to build OpenCV, other than the standard build mentioned in this chapter. It's always a good idea to explore some unknown and deep parts of these huge frameworks by simply taking a look in the folders and files they contain. Finally, you learned how to configure your development computer to build applications using Qt and OpenCV, and you even built your first application. In the next chapter, you'll learn more about Qt Creator by first building a console application and then moving on to building a Qt widgets application. You'll also learn about the structure of Qt projects and how to create a cross-platform integration between Qt and OpenCV frameworks. The next chapter will be the start of actual computer vision development and programming examples in this book and will lay out the foundations of our hands-on examples throughout the book.