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Learning OpenCV 3 Application Development

You're reading from  Learning OpenCV 3 Application Development

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781784391454
Pages 310 pages
Edition 1st Edition
Languages
Author (1):
Samyak Datta Samyak Datta
Profile icon Samyak Datta

Table of Contents (16) Chapters

Learning OpenCV 3 Application Development
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Laying the Foundation Image Filtering Image Thresholding Image Histograms Image Derivatives and Edge Detection Face Detection Using OpenCV Affine Transformations and Face Alignment Feature Descriptors in OpenCV Machine Learning with OpenCV Command-line Arguments in C++

Summary


In this Appendix, you learnt the basics of command-line arguments in C++ programs. We saw that these arguments are potent tools that allow the users to pass information (such as filenames or values for parameters) to our programs during execution time.

We looked at some alternatives to command-line arguments that reinforced the fact that they are indeed the cleanest and the most effective way to deal with such cases. We also saw how we can exploit the argc and argv parameters to process the parameters inside our C++ code. Incorporating the practices that are discussed in this chapter will indeed make your code easier to maintain, user-friendly, and professional.

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