Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

By : Zhuo Qingliang
4 (1)
Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

4 (1)
By: Zhuo Qingliang

Overview of this book

OpenCV and Qt have proven to be a winning combination for developing cross-platform computer vision applications. By leveraging their power, you can create robust applications with both an intuitive graphical user interface (GUI) and high-performance capabilities. This book will help you learn through a variety of real-world projects on image processing, face and text recognition, object detection, and high-performance computing. You’ll be able to progressively build on your skills by working on projects of increasing complexity. You’ll begin by creating an image viewer application, building a user interface from scratch by adding menus, performing actions based on key-presses, and applying other functions. As you progress, the book will guide you through using OpenCV image processing and modification functions to edit an image with filters and transformation features. In addition to this, you’ll explore the complex motion analysis and facial landmark detection algorithms, which you can use to build security and face detection applications. Finally, you’ll learn to use pretrained deep learning models in OpenCV and GPUs to filter images quickly. By the end of this book, you will have learned how to effectively develop full-fledged computer vision applications with OpenCV and Qt.
Table of Contents (11 chapters)

Preface

We are entering the age of intelligence. Today, more and more digital devices and applications deliver features facilitated by artificial intelligence technology. Computer vision technology is an important part of artificial intelligence technology, while the OpenCV library is one of the most comprehensive and mature libraries for computer vision technology. OpenCV goes beyond traditional computer vision technology; it incorporates many other technologies, such as DNN, CUDA, OpenGL, and OpenCL, and is evolving into a more powerful library. But, at the same time, its GUI facility, which is not the main feature of the library, isn't evolving very much. Meanwhile, among the many GUI development libraries and frameworks, there is one that is the best at crossing platforms, has the best ease of use, and has the greatest widget diversity—the Qt library. The goal of this book is to combine OpenCV and Qt to develop fully-fledged applications providing many interesting features.

This book is a practical guide to the OpenCV library and GUI application development with Qt. We'll develop a complete application in each chapter. In each of those applications, a number of computer vision algorithms, Qt widgets, and other facilities will be covered, and a well-designed user interface with functional features will be created.

This book is the result of months of hard work, and it would not have been possible without the invaluable help of the Packt team and the technical reviewer.