14 opencv读取XML

Posted 2020-11-22 kekeoutlook

https://blog.csdn.net/A_L_A_N/article/details/83272772

 

FileStorage类

FileStorage类将各种OpenCV数据结构的数据存储为XML或YML格式。

构造函数：cv::FileStorage(const string& source, int flags， const string& encoding=string());

参数说明：

source：存储或读取数据的文件名（字符串），其扩展名(.xml 或 .yml或者.yaml)决定文件格式。

flags：操作方式，包括：FileStorage::READ、FileStorage::WRITE、FileStorage::APPEND。

encoding：编码方式，用默认值就好。

 写xml/ymal文件：

#include<iostream>
#include<opencv2/opencv.hpp>
 
using namespace std;
using namespace cv;
 
void main()
{
	//标定结果保存
	FileStorage fs("caliResult.xml", FileStorage::WRITE);
 
	int cameraId = 0;
	Mat intrMatrix = (Mat_<double>(3, 3) << 7.7881772950073355e+002, 0, 3.1562441595543476e+002, 0, 7.8624564811643825e+002, 2.5630331974129393e+002, 0, 0, 1);
	Mat distCoeffs = (Mat_<double>(1, 5) << -7.2660835182078581e-002, 2.0765291395491934e+000, 5.9477659924542790e-004, -8.2981148319346263e-004, -7.0307616798578119e+000);
 
	fs << "cameraId" << cameraId;
	fs << "intrinsic_parameters" << intrMatrix;
	fs << "distortion_parametes" << distCoeffs;
 
	fs.release();
}

　　 保存的.xml文件：

<?xml version="1.0"?>
<opencv_storage>
<cameraId>0</cameraId>
<intrinsic_parameters type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>d</dt>
  <data>
    7.7881772950073355e+02 0. 3.1562441595543476e+02 0.
    7.8624564811643825e+02 2.5630331974129393e+02 0. 0. 1.</data></intrinsic_parameters>
<distortion_parametes type_id="opencv-matrix">
  <rows>1</rows>
  <cols>5</cols>
  <dt>d</dt>
  <data>
    -7.2660835182078581e-02 2.0765291395491934e+00
    5.9477659924542790e-04 -8.2981148319346263e-04
    -7.0307616798578119e+00</data></distortion_parametes>
</opencv_storage>

　　读xml/ymal文件：

#include<iostream>
#include<opencv2/opencv.hpp>
 
using namespace std;
using namespace cv;
 
void main()
{
    //FileStorage fs("caliResult.xml",FileStorage::READ);
    FileStorage fs;
    fs.open("caliResult.xml",FileStorage::READ);
    if(!fs.isOpened())
    {
        return;
    }
 
    int cameraId;
    Mat intrMatrix(3,3,CV_64F);
    Mat distCoeffs(5,1,CV_64F);
 
    fs["cameraId"]>>cameraId;
    fs["intrinsic_parameters"]>>intrMatrix;
    fs["distortion_parametes"]>>distCoeffs;
 
    fs.release();
}