cupyx.scipy.ndimage.affine_transform¶

cupyx.scipy.ndimage.
affine_transform
(input, matrix, offset=0.0, output_shape=None, output=None, order=None, mode='constant', cval=0.0, prefilter=True)¶ Apply an affine transformation.
Given an output image pixel index vector
o
, the pixel value is determined from the input image at positioncupy.dot(matrix, o) + offset
.Parameters:  input (cupy.ndarray) – The input array.
 matrix (cupy.ndarray) –
The inverse coordinate transformation matrix, mapping output coordinates to input coordinates. If
ndim
is the number of dimensions ofinput
, the given matrix must have one of the following shapes:(ndim, ndim)
: the linear transformation matrix for each output coordinate.(ndim,)
: assume that the 2D transformation matrix is diagonal, with the diagonal specified by the given value.(ndim + 1, ndim + 1)
: assume that the transformation is specified using homogeneous coordinates. In this case, any value passed tooffset
is ignored.(ndim, ndim + 1)
: as above, but the bottom row of a homogeneous transformation matrix is always[0, 0, ..., 1]
, and may be omitted.
 offset (float or sequence) – The offset into the array where the
transform is applied. If a float,
offset
is the same for each axis. If a sequence,offset
should contain one value for each axis.  output_shape (tuple of ints) – Shape tuple.
 output (cupy.ndarray or dtype) – The array in which to place the output, or the dtype of the returned array.
 order (int) – The order of the spline interpolation. If it is not given,
order 1 is used. It is different from
scipy.ndimage
and can change in the future. Currently it supports only order 0 and 1.  mode (str) – Points outside the boundaries of the input are filled
according to the given mode (
'constant'
,'nearest'
,'mirror'
or'opencv'
). Default is'constant'
.  cval (scalar) – Value used for points outside the boundaries of
the input if
mode='constant'
ormode='opencv'
. Default is 0.0  prefilter (bool) – It is not used yet. It just exists for compatibility
with
scipy.ndimage
.
Returns: The transformed input. If
output
is given as a parameter,None
is returned.Return type: cupy.ndarray or None
See also