cupyx.scipy.ndimage.zoom¶
- 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.
- Parameters
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'
ormode='opencv'
. Default is 0.0prefilter (bool) – It is not used yet. It just exists for compatibility with
scipy.ndimage
.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 whengrid_mode
is True. See the following visual illustration:| pixel 1 | pixel 2 | pixel 3 | pixel 4 | pixel 5 | |<-------------------------------------->| vs. |<----------------------------------------------->|
The starting point of the arrow in the diagram above corresponds to coordinate location 0 in each mode.
- Returns
The zoomed input.
- Return type
cupy.ndarray or None
See also