New Book: Qt 5 and OpenCV 4 Computer Vision Projects

<2019-06-24 Mon>

My new book, Qt 5 and OpenCV 4 Computer Vision Projects, is on Amazon now. If you are not sure if it is for you, here is the code repository for the book and the follows is its table of contents:

• Chapter 1: 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
    • The Exit action
    • Opening an image
    • Zooming in and out
    • Saving a copy
    • Navigating in the folder
    • Responding to hotkeys
  • Summary
  • Questions
• Chapter 2: Editing Images Like a Pro
  • Technical requirements
  • The ImageEditor application
  • Blurring images using OpenCV
    • Adding the blur action
    • Building and installing OpenCV from the source
    • Blurring images
    • QPixmap, QImage, and Mat
      • QPixmap
      • QImage
      • Mat
  • Adding features using Qt's plugin mechanism
  • The plugin interface
  • Eroding images with ErodePlugin
  • Loading the plugin into our application
  • Editing images like a pro
    • Sharpening images
    • Cartoon effect
    • Rotating images
    • Affine transformation
  • Summary
  • Questions
• Chapter 3: 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
• Chapter 4: 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
• Chapter 5: 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
• Chapter 6: 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
• Chapter 7: 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
    • 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
• Chapter 8: 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

Have few questions or feedback? Feel free to send me(killian.zhuo📧gmail.com) an email!