void qr<T>::output(array_2d<T>& x) const
{
if(x.rows() != m || x.columns() != n)
x.resize(idx(m, n));
lapack_interface<T>::call_lapack_geqrf(x, a);
}
void write_array_2d(const array_2d <T, K>& a, std::ostream& s)
{
size_t arr = a.columns(); // number of arrays
write_size(arr, s);
size_t dim = a.rows(); // dimension of each array
for (size_t n = 0, p = 0; n < arr; n++, p += dim) {
write_size(dim, s);
write(a[p], s, dim);
}
}
void qr<T>::output(array_2d<T>& q, array_2d<T>& r) const
{
array<T> tau(min_nm);
if(r.rows() != m || r.columns() != n)
r.resize(idx(m, n));
lapack_interface<T>::call_lapack_geqrf(r, tau, a);
//Now construct Q
//Q should be a MxM matrix
if(q.rows() != m || q.columns() != m)
q.resize(idx(m, m));
if(n <= m) {
//Q can hold the MxN values of R needed by lapack's xORGQR routines
for(size_t i = 0; i < m; i++)
for(size_t j = 0; j < n; j++)
q[m*j + i] = r(i,j);
lapack_interface<T>::call_lapack_orgqr(q, tau);
} else {
//create a new array and do a copy since
//Q cannot hold the MxN values of R as needed by lapack's xORGQR routines
array_2d<T> temp_q(r(all(), size_range(0, m - 1)));
lapack_interface<T>::call_lapack_orgqr(temp_q, tau);
//copy the Q values from temp
for(size_t i = 0; i < m; i++)
for(size_t j = 0; j < m; j++)
q[m*j + i] = temp_q[m*j + i];
}
// R is upper triangular
for(size_t i = 0; i < m; i++)
for(size_t j = 0; j < n; j++)
if(i > j)
r(i,j) = 0;
}
typename image<T, D>::create_new get_quadrange_sub_pix(const image<T, D>& a,
const array_2d<double>& map_matrix, const size_array& dst_size)
{
IplImage* src = a.ipl();
IplImage* dst;
if(dst_size[0] == 0 && dst_size[1] == 0) {
dst = cvCreateImage(cvGetSize(src),
image_details::ipl_depth<T>(), int(a.channels()));
} else {
dst = cvCreateImage(cvSize(dst_size[1], dst_size[0]),
image_details::ipl_depth<T>(), int(a.channels()));
}
CHECK(map_matrix.rows() == 2, eshape);
CHECK(map_matrix.columns() == 2, eshape);
CvMat* cvmap_matrix = cvCreateMat(2, 3, image_details::cv_type<double>());
cvmSet(cvmap_matrix, 0, 0, map_matrix(0, 0));
cvmSet(cvmap_matrix, 0, 1, map_matrix(0, 1));
cvmSet(cvmap_matrix, 0, 2, map_matrix(0, 2));
cvmSet(cvmap_matrix, 1, 0, map_matrix(1, 0));
cvmSet(cvmap_matrix, 1, 1, map_matrix(1, 1));
cvmSet(cvmap_matrix, 1, 2, map_matrix(1, 2));
/*cvmap_matrix->data.db[0] = map_matrix(0, 0);
cvmap_matrix->data.db[1] = map_matrix(0, 1);
cvmap_matrix->data.db[2] = map_matrix(0, 2);
cvmap_matrix->data.db[3] = map_matrix(1, 0);
cvmap_matrix->data.db[4] = map_matrix(1, 1);
cvmap_matrix->data.db[5] = map_matrix(1, 2);*/
cvGetQuadrangleSubPix(src, dst, cvmap_matrix);
typename image<T, D>::create_new r(dst);
cvReleaseMat(&cvmap_matrix);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}