典型的.yml或.xml矩阵应如何使用OpenCV [英] How should a typical .yml or .xml matrix look for OpenCV use

问题描述

我需要在文件内指定一个矩阵，然后将其作为Mat加载到OpenCV上以进行进一步处理.如何指定cols和lines以及 .xml 或 .yml 文件中的元素在哪里?(例如，i的元素A(i,j)从1到m行和j从1到n cols. 例如，在Matlab中，这是通过仅加载数字的 .dat 文件来完成的.与OpenCV混淆的是 .yml 或 .xml 还有其他一些脚本.

I need to specify a matrix inside a file and then load it onto OpenCV as a Mat for further processing. How can the cols and lines be specified and where do elements go within the .xml or .yml file?, (for example element A(i,j) for i from 1 to m lines and for j from 1 to n cols. In Matlab for example, this is done by loading a .dat file with just the numbers. What is confusing with OpenCV is that the .yml or .xml have some other scripts to them.

推荐答案

在 .xml / .yaml 文件中读取/写入任何OpenCV数据结构非常简单

Read/Write any OpenCV data structure to or from .xml / .yaml file is very simple.

在将任何内容写入此类文件之前，需要先将其打开，然后最后将其关闭. OpenCV中的XML/YAML数据结构为FileStorage.

Before you write any content to such file you need to open it and at the end to close it. The XML/YAML data structure in OpenCV is FileStorage.

string filename = "I.xml";
FileStorage fs(filename, FileStorage::WRITE);

Mat R = Mat_<uchar >::eye (3, 3),

fs << "R" << R; // Write entire cv::Mat
fs["R"] >> R;   // Read entire cv::Mat

查看此链接使用XML和YAML文件的文件输入和输出

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