resolved ticket #1104 (processing of transposed numpy arrays)

This commit is contained in:
Vadim Pisarevsky 2011-05-31 15:43:11 +00:00
parent ef5d7278ea
commit 3a4e06e289

View File

@ -179,6 +179,7 @@ static int pyopencv_to(const PyObject* o, Mat& m, const char* name = "<unknown>"
size_t step[CV_MAX_DIM+1], elemsize = CV_ELEM_SIZE1(type);
const npy_intp* _sizes = PyArray_DIMS(o);
const npy_intp* _strides = PyArray_STRIDES(o);
bool transposed = false;
for(int i = 0; i < ndims; i++)
{
@ -192,6 +193,13 @@ static int pyopencv_to(const PyObject* o, Mat& m, const char* name = "<unknown>"
ndims++;
}
if( ndims >= 2 && step[0] < step[1] )
{
std::swap(size[0], size[1]);
std::swap(step[0], step[1]);
transposed = true;
}
if( ndims == 3 && size[2] <= CV_CN_MAX && step[1] == elemsize*size[2] )
{
ndims--;
@ -213,6 +221,14 @@ static int pyopencv_to(const PyObject* o, Mat& m, const char* name = "<unknown>"
// (since Mat destructor will decrement the reference counter)
};
m.allocator = &g_numpyAllocator;
if( transposed )
{
Mat tmp;
tmp.allocator = &g_numpyAllocator;
transpose(m, tmp);
m = tmp;
}
return true;
}