将来自MATLAB的.mat文件转换为OpenCV中的cv :: Mat矩阵 [英] Converting a .mat file from MATLAB into cv::Mat matrix in OpenCV
问题描述
我有一些MATLAB代码，我想迁移到OpenCV。 MATLAB代码使用的数据存储在.mat文件中，然后在运行时加载。
我将此.mat文件转换为.csv文件，然后使用ifstream将此数据作为字符串读入OpenCV。我有问题将这个字符串转换为一个数据结构，然后我可以在OpenCV使用。
有没有反正我可以转换.mat文件/ .csv文件到OpenCV中的Mat数据结构？
编辑：基于我收到的答案，我成功地使用YML文件将MATLAB数据读入OpenCV。这是我在MAC环境中做的。但是，当我尝试在Windows环境中使用同一段代码读取文件时，该文件未被读取。只是想知道是否有人遇到这样的问题。下面是我的代码片段：
// OpenCVDemo.cpp：定义控制台应用程序的入口点。
//为build / install教程创建，Microsoft Visual Studio和OpenCV 2.4.0
#includestdafx.h
#include< cv。 h。
#include< cxcore.h>
#include< highgui.h>
#include< iostream>
using namespace cv;
using namespace std;
int _tmain（int argc，_TCHAR * argv []）
{
cout< 加载基础。 << endl;
FileStorage fs1（basis.yml，FileStorage :: READ）;
cv :: FileNode B = fs1 [B];
if（B.EMPTY）
{
cout<< 文件为空或不存在< endl;
return 1;
}
fs1 [B]>>基础;
cout<<基础。 endl;
fs1.release（）;
return 0;
}
href =http://opencv.itseez.com/modules/core/doc/xml_yaml_persistence.html>由OpenCV类Filestorage提供的XML / YAML文件存储库。
例如，如果您有像这样的 yml 文件，我将调用 demo.yml
％YAML：1.0
Variable1：!! opencv-matrix
rows：4
cols：5
dt： f
data：[-1.60522782e-03，-5.93489595e-03，2.92204670e-03，
1.14785777e-02，-1.57432575e-02，-2.17529312e-02，4.05947529e-02 ，
6.56594411e-02,1.24527821e-02，3.19751091e-02，5.41692637e-02，
4.04683389e-02,2.59191263e-03,1.151212308e-03,1.11024221e-02，
4.03668173e-03，-3.19138430e-02，-9.40114353e-03，4.93452176e-02，
5.73473945e-02]
Variable2：!! opencv-matrix
rows ：7
cols：2
dt：f
data：[-2.17529312e-02，4.05947529e-02，5.73473945e-02，
6.56594411e-02,1.24527821e -02，3.19751091e-02，5.41692637e-02，
4.03668173e-03，-3.19138430e-02，-9.40114353e-03，4.93452176e-02，
4.04683389e-02,2.59191263e -03，1.15112308e-03]
然后，您可以使用OpenCV FileStorage类加载在此 demo.yml 文件中：
#include< iostream>
#include< string>
#include< cv.h>
#include< highgui.h>
using namespace cv;
using namespace std;
int main（int argc，char * const argv []）
{
Mat var1;
Mat var2;
string demoFile =demo.yml;
FileStorage fsDemo（demoFile，FileStorage :: READ）;
fsDemo [Variable1]>> var1;
fsDemo [Variable2]>> var2;
cout<< 打印var1的内容：< endl;
cout<< var1<< endl<< endl;
cout<< 打印var2的内容：< endl;
cout<< var2< endl;
fsDemo.release（）;
return 0;
}
现在，你可以做的是编写自己的Matlab解析器， matlab2opencv.m ：
function matlab2opencv（variable，fileName，flag）
[rows cols] = size（variable）;
％注意Matlab的线性索引
variable = variable';
％写模式作为默认
if（〜exists（'flag'，'var'））
flag ='w';
end
if（〜exists（fileName，'file'）|| flag =='w'）
％指定新文件或写模式
file = fopen（fileName，'w'）;
fprintf（file，'%% YAML：1.0\\\
'）;
else
％附加模式
file = fopen（fileName，'a'）;
end
％写变量标题
fprintf（file，'％s：!! opencv-matrix\\\
'，inputname（1））;
fprintf（file，'rows：％d\\\
'，rows）;
fprintf（file，'cols：％d\\\
'，cols）;
fprintf（file，'dt：f \\\
'）;
fprintf（file，'data：['）;
％写变量数据
for i = 1：rows * cols
fprintf（file，'％.6f'，variable（i））;
if（i == rows * cols），break，end
fprintf（file，'，'）;
如果mod（i + 1,4）== 0
fprintf（file，'\\\
'）;
end
end
fprintf（file，'] \\\
'）;
fclose（file）;
所以你可以运行：
varA = rand（3，6）;
varB = rand（7，2）;
matlab2opencv（varA，'newStorageFile.yml'）;
matlab2opencv（varB，'newStorageFile.yml'，'a'）; a标志传递的％附加模式
获取 newStorageFile.yml ：
％YAML：1.0
varA：!! opencv-matrix
rows：3
cols：6
dt：f
data：[0.430207，0.979748，0.258065，
0.262212，0.221747,0.318778,0.184816，
0.438870,0.408720,0.602843,0.1147418，
0.424167,0.904881,0.111119,0.594896，
0.711216,0.296676,0.507858]
varB：!! opencv-matrix
rows：7
cols：2
dt： f
data：[0.085516,0.578525,0.262482，
0.237284,0.801015,0.458849,0.029220，
0.963089,0.928854,0.546806,0.730331，
0.521136,0.488609,0.231594]
您可以从中读取 varA 和 varB ，如先前为 Variable1 和 Variable2 所解释。 b
$ b
希望它有助于
I have some MATLAB code that I want to migrate to OpenCV. The data that the MATLAB code uses is stored in a .mat file which is then loaded at run time.
I converted this .mat file into a .csv file and am then reading this data into OpenCV as a string using ifstream. I am having problems converting this string into a data-structure that I can then use in OpenCV.
Is there anyway that I can convert the .mat file / .csv file to a Mat data structure in OpenCV?
Edit: Based on the Answer I received, I was successful in reading MATLAB data into OpenCV using a YML file. This I did in a MAC environment. However, when I try to read the file with the same piece of code in a Windows environment, the file is not being read. Just wondering if anyone ran into such an issue. Below is my code snippet:
// OpenCVDemo.cpp : Defines the entry point for the console application.
// Created for build/install tutorial, Microsoft Visual Studio and OpenCV 2.4.0
#include "stdafx.h"
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>
#include <iostream>
using namespace cv;
using namespace std;
int _tmain(int argc, _TCHAR* argv[])
{
cout << "Loading the basis." << endl;
FileStorage fs1("basis.yml", FileStorage::READ);
cv::FileNode B = fs1["B"];
if (B.EMPTY)
{
cout << "File is empty or does not exist" << endl;
return 1;
}
fs1["B"] >> basis;
cout << basis.cols << endl;
fs1.release();
return 0;
}
You can use the XML/YAML file storages provided by the OpenCV class Filestorage.
As an example, if you have a yml file like this one, that I'll call demo.yml
%YAML:1.0
Variable1: !!opencv-matrix
rows: 4
cols: 5
dt: f
data: [ -1.60522782e-03, -5.93489595e-03, 2.92204670e-03,
1.14785777e-02, -1.57432575e-02, -2.17529312e-02, 4.05947529e-02,
6.56594411e-02, 1.24527821e-02, 3.19751091e-02, 5.41692637e-02,
4.04683389e-02, 2.59191263e-03, 1.15112308e-03, 1.11024221e-02,
4.03668173e-03, -3.19138430e-02, -9.40114353e-03, 4.93452176e-02,
5.73473945e-02 ]
Variable2: !!opencv-matrix
rows: 7
cols: 2
dt: f
data: [ -2.17529312e-02, 4.05947529e-02, 5.73473945e-02,
6.56594411e-02, 1.24527821e-02, 3.19751091e-02, 5.41692637e-02,
4.03668173e-03, -3.19138430e-02, -9.40114353e-03, 4.93452176e-02,
4.04683389e-02, 2.59191263e-03, 1.15112308e-03 ]
Then, you can use OpenCV FileStorage class to load the variables contained on this demo.yml file as:
#include <iostream>
#include <string>
#include <cv.h>
#include <highgui.h>
using namespace cv;
using namespace std;
int main (int argc, char * const argv[])
{
Mat var1;
Mat var2;
string demoFile = "demo.yml";
FileStorage fsDemo( demoFile, FileStorage::READ);
fsDemo["Variable1"] >> var1;
fsDemo["Variable2"] >> var2;
cout << "Print the contents of var1:" << endl;
cout << var1 << endl << endl;
cout << "Print the contents of var2:" << endl;
cout << var2 << endl;
fsDemo.release();
return 0;
}
Now, what you can do is writing your own Matlab parser, similarly to my matlab2opencv.m below:
function matlab2opencv( variable, fileName, flag)
[rows cols] = size(variable);
% Beware of Matlab's linear indexing
variable = variable';
% Write mode as default
if ( ~exist('flag','var') )
flag = 'w';
end
if ( ~exist(fileName,'file') || flag == 'w' )
% New file or write mode specified
file = fopen( fileName, 'w');
fprintf( file, '%%YAML:1.0\n');
else
% Append mode
file = fopen( fileName, 'a');
end
% Write variable header
fprintf( file, ' %s: !!opencv-matrix\n', inputname(1));
fprintf( file, ' rows: %d\n', rows);
fprintf( file, ' cols: %d\n', cols);
fprintf( file, ' dt: f\n');
fprintf( file, ' data: [ ');
% Write variable data
for i=1:rows*cols
fprintf( file, '%.6f', variable(i));
if (i == rows*cols), break, end
fprintf( file, ', ');
if mod(i+1,4) == 0
fprintf( file, '\n ');
end
end
fprintf( file, ']\n');
fclose(file);
So you could run something like:
varA = rand( 3, 6);
varB = rand( 7, 2);
matlab2opencv( varA, 'newStorageFile.yml');
matlab2opencv( varB, 'newStorageFile.yml', 'a'); % append mode passed by 'a' flag
obtaining newStorageFile.yml:
%YAML:1.0
varA: !!opencv-matrix
rows: 3
cols: 6
dt: f
data: [ 0.430207, 0.979748, 0.258065,
0.262212, 0.221747, 0.318778, 0.184816,
0.438870, 0.408720, 0.602843, 0.117418,
0.424167, 0.904881, 0.111119, 0.594896,
0.711216, 0.296676, 0.507858]
varB: !!opencv-matrix
rows: 7
cols: 2
dt: f
data: [ 0.085516, 0.578525, 0.262482,
0.237284, 0.801015, 0.458849, 0.029220,
0.963089, 0.928854, 0.546806, 0.730331,
0.521136, 0.488609, 0.231594]
from which you could read varA and varB as previously explained for Variable1 and Variable2.
Hope it helps
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