Book Image

Computer Vision with OpenCV 3 and Qt5

By : Amin Ahmadi Tazehkandi
4 (1)
Book Image

Computer Vision with OpenCV 3 and Qt5

4 (1)
By: Amin Ahmadi Tazehkandi

Overview of this book

Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment. This book will teach you to develop applications with the combination of OpenCV 3 and Qt5, and how to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book. Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications.
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface

Reading and writing videos in OpenCV


OpenCV a single and extremely easy-to-use class called VideoCapture for reading videos (or image sequences) from files saved on disk, or from capture devices, cameras, or a network video stream (for instance an RTSP address on the internet). You can simply use the open function to try a video from any of the mentioned source types and use the read function to grab video frames into images. Here's an example:

    VideoCapture video; 
    video.open("c:/dev/test.avi"); 
    if(video.isOpened()) 
    { 
      Mat frame; 
      while(true) 
      {             
        if(video.read(frame)) 
        { 
            // Process the frame ... 
        } 
        else 
        { 
            break; 
        } 
      } 
    } 
    video.release(); 

If you want to load an image sequence, you simply need to replace the filename with the file path pattern. For instance, image_%02d.png will read images with filenames like image_00.png, image_01.png, image_02.png...