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scipy.ndimage.filters.convolve¶
- scipy.ndimage.filters.convolve(input, weights, output=None, mode='reflect', cval=0.0, origin=0)¶
Multi-dimensional convolution.
The array is convolved with the given kernel.
Parameters: input : array-like
input array to filter
weights : ndarray
array of weights, same number of dimensions as input
output : array, optional
The output parameter passes an array in which to store the filter output.
mode : {‘reflect’,’constant’,’nearest’,’mirror’, ‘wrap’}, optional
The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’. Default is ‘reflect’
cval : scalar, optional
Value to fill past edges of input if mode is ‘constant’. Default is 0.0
origin : scalar, optional
The ``origin`` parameter controls the placement of the filter. Default 0 :
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