cupyx.scipy.ndimage.zoom(input, zoom, output=None, order=3, mode='constant', cval=0.0, prefilter=True, *, grid_mode=False)[source]#

Zoom an array.

The array is zoomed using spline interpolation of the requested order.

  • input (cupy.ndarray) – The input array.

  • zoom (float or sequence) – The zoom factor along the axes. If a float, zoom is the same for each axis. If a sequence, zoom should contain one value for each axis.

  • 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, default is 3. Must be in the range 0-5.

  • mode (str) – Points outside the boundaries of the input are filled according to the given mode ('constant', 'nearest', 'mirror', 'reflect', 'wrap', 'grid-mirror', 'grid-wrap', 'grid-constant' or 'opencv').

  • cval (scalar) – Value used for points outside the boundaries of the input if mode='constant' or mode='opencv'. Default is 0.0

  • prefilter (bool) – Determines if the input array is prefiltered with spline_filter before interpolation. The default is True, which will create a temporary float64 array of filtered values if order > 1. If setting this to False, the output will be slightly blurred if order > 1, unless the input is prefiltered, i.e. it is the result of calling spline_filter on the original input.

  • grid_mode (bool, optional) –

    If False, the distance from the pixel centers is zoomed. Otherwise, the distance including the full pixel extent is used. For example, a 1d signal of length 5 is considered to have length 4 when grid_mode is False, but length 5 when grid_mode is True. See the following visual illustration:

    | pixel 1 | pixel 2 | pixel 3 | pixel 4 | pixel 5 |

    The starting point of the arrow in the diagram above corresponds to coordinate location 0 in each mode.


The zoomed input.

Return type:

cupy.ndarray or None