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 11. Linking and Deployment

After learning about debugging and testing applications using Qt Creator and the Qt Test framework in the previous chapters, we are down to one of the last phases in application development, which is the deployment of applications to the end users. This process itself has many variations and can take quite a lot of different forms depending on the target platform, but one thing they all have in common is the packaging of an application in a way that it can be simply executed in the target platform and without bothering with the dependencies of the application. Remember, not all target platforms (whether it is Windows, macOS, or Linux) have Qt and OpenCV libraries on them. So, if you go on and just provide the users of your application with only the executable of your application, it will most probably not even start executing, much less working correctly.

In this chapter, we are going to tackle exactly that, by learning about the correct way of creating...