post2web

# from https://stackoverflow.com/questions/42463172/how-to-perform-max-mean-pooling-on-a-2d-array-using-numpy
import numpy as np
def asStride(arr,sub_shape,stride):
    '''Get a strided sub-matrices view of an ndarray.
    See also skimage.util.shape.view_as_windows()
    '''
    s0,s1=arr.strides[:2]
    m1,n1=arr.shape[:2]
    m2,n2=sub_shape
    view_shape=(1+(m1-m2)//stride[0],1+(n1-n2)//stride[1],m2,n2)+arr.shape[2:]