Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By : David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot
Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By: David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot

Overview of this book

OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: •Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá •Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi
Table of Contents (28 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Graphic user interface with Qt


The Qt user interface gives us more control and options to work with our images.

The interface is divided into the following three main areas:

  • Toolbar
  • Image area
  • Status bar

We can see these three areas in the following picture. At the top of the image is the toolbar, the image is the main area, and the status bar can be seen at the bottom of the image:

The toolbar has the following buttons from left to right:

  • Four buttons for panning
  • Zoom x1
  • Zoom x30, show labels
  • Zoom in
  • Zoom out
  • Save current image
  • Show properties

These options can be seen clearly in the following image:

The image area shows an image and a contextual menu when we push the right mouse button over the image. This area can show an overlay message at the top of the area using the displayOverlay function. This function accepts three parameters: the window name, the text that we want to show, and the period in milliseconds for which the overlay text is displayed. If this time is set to 0, the text never disappears...