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Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

Reading videos and cameras

This section introduces you to video and camera reading using this simple example. Before explaining how to read videos or camera input, we want to introduce a new, very useful class that helps us to manage the input command-line parameters. This new class was introduced in OpenCV version 3.0, and is the CommandLineParser class:

// OpenCV command line parser functions 
// Keys accepted by command line parser 
const char* keys = 
{ 
   "{help h usage ? | | print this message}" 
    "{@video | | Video file, if not defined try to use webcamera}" 
}; 

The first thing that we have to do for CommandLineParser is define what parameters we need or allow in a constant char vector; each line has the following pattern:

"{name_param | default_value ...
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Publisher Resources

ISBN: 9781838644673Supplemental Content