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


We've come a long way since the starting chapters of the book, and by now, we are fully equipped with lots of useful techniques to take on the task of computer vision application development. In all of the previous chapters, including the one we just finished, you learned more about the required skills to create a powerful and comprehensive application (in general, for the most part) rather than just focusing on the computer vision (OpenCV skills to be precise) aspect of it. You learned how to create applications that support multiple languages, themes and styles, plugins; and in this chapter, you learned how to visualize images and graphical items in a scene and on a view. We are now armed with almost everything we need to dig deeper into the world of computer vision application development.

In Chapter 6, Image Processing in OpenCV, you will learn more about OpenCV and possible image processing techniques in it. For each learned subject, we'll simply assume that we're creating a...