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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV FREE CHAPTER 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Basic data persistence and storage

Before finishing this chapter, we will explore the OpenCV functions to store and read our data. In many applications, such as calibration or machine learning, when we finish performing a number of calculations, we need to save these results to retrieve them in subsequent operations. OpenCV provides an XML/YAML persistence layer to this end.

Writing to FileStorage

To write a file with some OpenCV or other numeric data, we can use the FileStorage class, using a streaming << operator such as STL streaming:

#include "opencv2/opencv.hpp" 
using namespace cv; 
 
int main(int, char** argv) 
{ 
   // create our writer 
    FileStorage fs("test.yml", FileStorage::WRITE);...
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