This chapter was an introduction to Qt Creator more than it was anything else, and that is exactly what we need in order to comfortably proceed with the next chapters, concentrating on building things instead of repetitive instructions and configuration tips and hints. We learned how to use Qt Creator to design user interfaces and write code for the user interfaces. We were introduced to some of the most widely used Qt classes and how they are packed in different modules. By learning about different Qt Creator modes and building an application at the same time, we can now practice more by ourselves and even improve the application we wrote. The next chapter will be the chapter where we build the skeleton of an extendable plugin-based computer vision application that will continue almost for the rest of the book, until the very last chapters. In the next chapter, we'll learn about different design patterns in Qt and OpenCV and how we can use similar patterns to build applications...
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.
Related Content you might be interested in
Current Title:
Computer Vision with OpenCV 3 and Qt5
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
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
Other Books You May Enjoy
Customer Reviews