opencv/interfaces/swig/python/imagedata.i

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/*M///////////////////////////////////////////////////////////////////////////////////////
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// For Open Source Computer Vision Library
//
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// 2004-03-16, Gabriel Schreiber <schreiber@ient.rwth-aachen.de>
// Mark Asbach <asbach@ient.rwth-aachen.de>
// Institute of Communications Engineering, RWTH Aachen University
// 2006-08-29 Roman Stanchak -- converted to use CvMat rather than IplImage
%{
/// Accessor to convert a Python string into the imageData.
void CvMat_imageData_set(CvMat * self, PyObject* object)
{
char* py_string = PyString_AsString(object);
int depth = CV_MAT_DEPTH(self->type);
int cn = CV_MAT_CN(self->type);
int step = self->step ? self->step : CV_ELEM_SIZE(self->type) * self->cols;
if (depth == CV_8U && cn==3){
// RGB case
// The data is reordered beause OpenCV uses BGR instead of RGB
for (long line = 0; line < self->rows; ++line)
for (long pixel = 0; pixel < self->cols; ++pixel)
{
// In OpenCV the beginning of the lines are aligned
// to 4 Bytes. So use step instead of cols.
long position = line*step + pixel*3;
long sourcepos = line*self->cols*3 + pixel*3;
self->data.ptr[position ] = py_string[sourcepos+2];
self->data.ptr[position+1] = py_string[sourcepos+1];
self->data.ptr[position+2] = py_string[sourcepos ];
}
}
else if (depth == CV_8U && cn==1)
{
// Grayscale 8bit case
for (long line = 0; line < self->rows; ++line)
{
// In OpenCV the beginning of the lines are aligned
// to 4 Bytes. So use step instead of cols.
memcpy
(
self->data.ptr + line*step,
py_string + line*self->cols,
step
);
}
}
else if ( depth == CV_32F )
{
// float (32bit) case
for (long line = 0; line < self->rows; ++line)
{
// here we don not have to care about alignment as the Floats are
// as long as the alignment
memcpy
(
self->data.ptr + line*step,
py_string + line*self->cols*sizeof(float),
step
);
}
}
else if ( depth == CV_64F )
{
// double (64bit) case
for (long line = 0; line < self->rows; ++line)
{
// here we don not have to care about alignment as the Floats are
// as long as the alignment
memcpy
(
self->data.ptr + line*step,
py_string + line*self->cols*sizeof(double),
step
);
}
}
else
{
// make some noise
SendErrorToPython (SWIG_TypeError,
"CvMat_imageData_set",
"cannot convert string data to this image format",
__FILE__, __LINE__, NULL);
}
}
/// Accessor to convert the imageData into a Python string.
PyObject* CvMat_imageData_get(CvMat * self)
{
if (!self->data.ptr)
{
PyErr_SetString(PyExc_TypeError, "Data pointer of CvMat is NULL");
return NULL;
}
int step = self->step ? self->step : CV_ELEM_SIZE(self->type) * self->cols;
return PyString_FromStringAndSize((const char *)self->data.ptr, self->rows*step);
}
%}
// add virtual member variable to CvMat
%extend CvMat {
PyObject * imageData;
};