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Qt 5 and OpenCV 4 Computer Visi - Zhuo Qingliang.pdf

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Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5 Key Features Gain practical insights into code for all projects covered in this book Understand modern computer vision concepts such as character recognition, image processing and modification Learn to use a graphics processing unit (GPU) and its parallel processing power for filtering images quickly Book Description 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...

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Table of Contents

1. Title Page

2. Copyright and Credits

1. Qt 5 and OpenCV 4 Computer Vision Projects

3. Dedication

4. About Packt

1. Why subscribe?

5. Contributors

1. About the author

2. About the reviewer

3. Packt is searching for authors like you

6. Preface

1. Who this book is for

2. What this book covers

3. To get the most out of this book

1. Download the example code files

2. Download the color images

3. Code in Action

4. Conventions used

4. Get in touch

1. Reviews

1. Building an Image Viewer

1. Technical requirements

2. Designing the user interface

3. Starting the project from scratch

4. Setting up the full user interface

5. Implementing the functions for the actions

1. The Exit action

2. Opening an image

3. Zooming in and out

4. Saving a copy

5. Navigating in the folder

6. Responding to hotkeys

6. Summary

7. Questions

2. Editing Images Like a Pro

1. Technical requirements

2. The ImageEditor application

3. Blurring images using OpenCV

1. Adding the blur action

2. Building and installing OpenCV from the source

3. Blurring images

4. QPixmap, QImage, and Mat

1. QPixmap

2. QImage

3. Mat

4. Adding features using Qt's plugin mechanism

1. The plugin interface

2. Eroding images with ErodePlugin

3. Loading the plugin into our application

5. Editing images like a pro

1. Sharpening images

2. Cartoon effect

3. Rotating images

 Affine transformation
 Summary
 Questions
 Home Security Applications
 Technical requirements
 The Gazer application
 Starting the project and setting up the UI
 Accessing cameras
 Listing cameras with Qt
 Capturing and playing
 Threading and the performance of real-time video processing
 Capturing and playing with Qt
 Calculating the FPS
 Saving videos
 Motion analysis with OpenCV
 Motion detection with OpenCV
 Sending notifications to our mobile phone
 Summary
 Questions
 Fun with Faces
 Technical requirements
 The Facetious application
 From Gazer to Facetious
 Taking photos
 Detecting faces using cascade classifiers
 Detecting facial landmarks
 Applying masks to faces
 Loading images with the Qt resource system
 Drawing masks on the faces
 Selecting masks on the UI
 Summary
 Questions
 Optical Character Recognition
 Technical requirements
 Creating Literacy
 Designing the UI
 Setting up the UI
 OCR with Tesseract
 Building Tesseract from the source
 Recognizing characters in Literacy
 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
 The no-entry traffic sign
 The faces of Boston Bulls
 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&#xA0; the camera
 Measuring the distance between cars in a bird's eye view
 Measuring the distance between a car and the camera in the eye-level view
 Switching between view modes
 Summary
 Questions
 Using OpenGL for the High-Speed Filtering of Images
 Technical requirements
 Hello OpenGL
 OpenGL in Qt
 Filtering images with OpenGL
 Drawing images with OpenGL
 Filtering images in the fragment shader
 Saving the filtered images
 Using OpenGL with OpenCV
 Summary
 Further reading
 Assessments
 Chapter 1,&#xA0;Building an Image Viewer
 Chapter 2,&#xA0;Editing Images Like a Pro
 Chapter 3,&#xA0;Home Security Applications
 Chapter 4,&#xA0;Fun with Faces
 Chapter 5,&#xA0;Optical Character Recognition
 Chapter 6,&#xA0;Object Detection in Real Time
 Chapter 7,&#xA0;Real-Time Car Detection and Distance Measurement
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