Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By: Robert Laganiere

Overview of this book

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
Table of Contents (18 chapters)
OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Writing video sequences


In the previous recipes, we learned how to read a video file and extract its frames. This recipe will show you how to write frames and, therefore, create a video file. This will allow us to complete the typical video-processing chain: reading an input video stream, processing its frames, and then storing the results in a new video file.

How to do it...

Writing video files in OpenCV is done using the cv::VideoWriter class. An instance is constructed by specifying the filename, the frame rate at which the generated video should play, the size of each frame, and whether or not the video will be created in color:

writer.open(outputFile, // filename
    codec,          // codec to be used 
    framerate,      // frame rate of the video
    frameSize,      // frame size
    isColor);       // color video?

In addition, you must specify the way you want the video data to be saved. This is the codec argument; this will be discussed at the end of this recipe.

Once the video file...