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Table Of Contents

Qt 5 and OpenCV 4 Computer Vision Projects

By : Zhuo Qingliang

5 (1)

Buy this Book

Qt 5 and OpenCV 4 Computer Vision Projects

5 (1)

By: Zhuo Qingliang

Buy this Book

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.

Preface

Who this book is for

What this book covers

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Free Chapter

Building an Image Viewer

Technical requirements

Designing the user interface

Starting the project from scratch

Setting up the full user interface

Implementing the functions for the actions

Summary

Questions

Editing Images Like a Pro

Technical requirements

The ImageEditor application

Blurring images using OpenCV

Adding features using Qt's plugin mechanism

Editing images like a pro

Summary

Questions

Home Security Applications

Technical requirements

The Gazer application

Accessing cameras

Saving videos

Motion analysis with OpenCV

Summary

Questions

Fun with Faces

Technical requirements

The Facetious application

Detecting faces using cascade classifiers

Detecting facial landmarks

Applying masks to faces

Summary

Questions

Optical Character Recognition

Technical requirements

Creating Literacy

OCR with Tesseract

Detecting text areas with OpenCV

Recognizing characters on the screen

Summary

Questions

Object Detection in Real Time

Technical requirements

Detecting objects using OpenCV

Detecting objects using a cascade classifier

Training a cascade classifier

Detecting objects using deep learning models

About real time

Summary

Questions

Real-Time Car Detection and Distance Measurement

Technical requirements

Car detection in real time

Distance measurement

Measuring the distance between cars or between the car and the camera

Summary

Questions

Using OpenGL for the High-Speed Filtering of Images

Technical requirements

Hello OpenGL

OpenGL in Qt

Filtering images with OpenGL

Using OpenGL with OpenCV

Summary

Home Security Applications

In Chapter 2, Editing Images Like a Pro, we learned about the plugin mechanism of the Qt library and many image filters and transformations from the OpenCV library by building our own image editor application. In this chapter, we will move on from working with images to working with videos. We will build a new application with which we can do many things with the webcam of a PC, such as play video that's been captured from it in real time, record portions of video from its video feed, calculate its frames per second (FPS), detect motion by doing motion analysis on its video feed in real time, and more.

The following topics will be covered in this chapter: