vigra - transpose.cxx

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transpose.cxx |

Demonstrate MultiArrayView::transpose()
Usage: `transpose`

#include <iostream>
#include <vigra/multi_array.hxx>
#include <vigra/linear_algebra.hxx>
using namespace vigra;
template <class T>
void print(MultiArrayView<2, T> array)
{
for(int y=0; y<array. shape(1); ++y)
{
for(int x=0; x<array.shape(0); ++x)
std::cout << array(x, y) << " ";
std::cout << "\n";
}
}
int main (int argc, char ** argv)
{
// create array
MultiArray<2, int> base_array(Shape2(4,4));
// init array such that pixel values are equal to their x coordinate
for (int i = 0; i < base_array.size(); i++)
{
base_array[i] = i % base_array.shape(0);
}
std::cout << "base_array:\n";
print(base_array);
// create a transposed array and a transposed view
MultiArray<2, int> transarray = base_array. transpose();
MultiArrayView<2, int> transarrayView = base_array. transpose();
std::cout << "transarray:\n";
print(transarray);
std::cout << "transArrayView:\n";
print(transarrayView);
// set transarray to 5
transarray = 5;
std::cout << "base_array after setting transarray to 5\n(no change, since transarray is a copy):\n";
print(base_array);
// set transarrayView to 5
transarrayView = 5;
std::cout << "base_array after setting transarrayView to 5\n(base_array changes because transarrayView is a view):\n";
print(base_array);
// transposing a 5D array
// instantiate 5D array
MultiArray<5, int> array5D(Shape5(1,2,3,4,5));
// print the shape of the original array
std::cout << "Shape of array5D: " << array5D.shape() << "\n";
// transpose array
MultiArrayView<5, int> arrayview5D = array5D.transpose();
// print the shape of transposed array
std::cout << "Shape of array5D view after default transpose(): " << arrayview5D. shape() << "\n";
// transpose to an explicitly specified axis permutation
MultiArrayView<5, int> arrayview5D_permuted = array5D.transpose(Shape5(2,1,3,4,0));
// print the shape of transposed array
std::cout << "Shape of array5D view after user-defined transpose(): " << arrayview5D_permuted.shape() << "\n";
std::cout << " (applied permutation 2 => 0, 1 => 1, 3 => 2, 4 => 3, 0 => 4 to the axes)\n";
return 0;
}

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.11.1 (Fri May 19 2017)