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python sliding window maximum

## Option A
from scipy.ndimage.filters import maximum_filter as maxf2D
# Store shapes of inputs
N,M = window_size
P,Q = a.shape
# Use 2D max filter and slice out elements not affected by boundary conditions
maxs = maxf2D(a, size=(M,N))
max_Map_Out = maxs[M//2:(M//2)+P-M+1, N//2:(N//2)+Q-N+1]

## option B
from skimage.util.shape import view_as_windows
N,M = window_size
max_Map_Out = view_as_windows(a, (M,N)).max(axis=(-2,-1))

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