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

Qt and OpenCV apps on Android and iOS


Ideally, you can build run the applications created by using Qt and OpenCV frameworks on desktop and mobile platforms alike, without the need to write any platform-specific codes. However, in practice, this is not as easy as it seems, since frameworks like Qt and OpenCV act as wrappers over the capabilities of the operating system itself (in some cases), and since are still undergoing extensive development, there might be some cases that are not yet fully implemented in a particular operating system, such as Android or iOS. The good news is that those cases are getting rarer as new of the Qt and OpenCV frameworks are released, and even now (Qt 5.9 and OpenCV 3.3), most of the classes and functions in both of these frameworks can be easily used in Windows, Linux, macOS, Android, and iOS operating systems.

So, first of all by keeping what we just mentioned in mind, we can say that practically (as opposed to ideally), to be able to build and run applications...