Book Image

Learn OpenCV 4 By Building Projects - Second Edition

By : David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
Book Image

Learn OpenCV 4 By Building Projects - Second Edition

By: David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi

Overview of this book

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
Table of Contents (14 chapters)

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);...