Matlab API reading .mat file from c++, using STL container
Here is an example of using the MAT-API:
test_mat.cpp
#include "mat.h"
#include <iostream>
#include <vector>
void matread(const char *file, std::vector<double>& v)
{
// open MAT-file
MATFile *pmat = matOpen(file, "r");
if (pmat == NULL) return;
// extract the specified variable
mxArray *arr = matGetVariable(pmat, "LocalDouble");
if (arr != NULL && mxIsDouble(arr) && !mxIsEmpty(arr)) {
// copy data
mwSize num = mxGetNumberOfElements(arr);
double *pr = mxGetPr(arr);
if (pr != NULL) {
v.reserve(num); //is faster than resize :-)
v.assign(pr, pr+num);
}
}
// cleanup
mxDestroyArray(arr);
matClose(pmat);
}
int main()
{
std::vector<double> v;
matread("data.mat", v);
for (size_t i=0; i<v.size(); ++i)
std::cout << v[i] << std::endl;
return 0;
}
First we build the standalone program, and create some test data as a MAT-file:
>> mex -client engine -largeArrayDims test_mat.cpp
>> LocalDouble = magic(4)
LocalDouble =
16 2 3 13
5 11 10 8
9 7 6 12
4 14 15 1
>> save data.mat LocalDouble
Now we run the program:
C:\> test_mat.exe
16
5
9
4
2
11
7
14
3
10
6
15
13
8
12
1
Here's another idea. If you're allergic to bare pointers in C++ code (nothing wrong with them, by the way), you could wrap the bare pointer in a boost or C++11 smart pointer with a deleter that calls the correct mxDestroyArray()
when the pointer goes out of scope. That way you don't need a copy, nor does your user code need to know how to correctly deallocate.
typedef shared_ptr<mxArray> mxSmartPtr;
mxSmartPtr readMATarray(MATFile *pmat, const char *varname)
{
mxSmartPtr pdata(matGetVariable(pmat, varname),
mxDestroyArray); // set deleter
return pdata;
}
int some_function() {
mxSmartPtr pdata = readMATarray(pmat, "LocalDouble");
...
// pdata goes out of scope, and mxDestroy automatically called
}
Idea taken from here: http://www.boost.org/doc/libs/1_56_0/libs/smart_ptr/sp_techniques.html#incomplete