In [1]:

    

import numpy as np


    

In [2]:

    

import skimage.io
import skimage.util


    

In [3]:

    

img = skimage.io.imread('data/src/lena_square.png')
print(img.shape)


    

    




(512, 512, 3)

In [4]:

    

blocks = skimage.util.view_as_blocks(img, (256, 256, 3))
print(blocks.shape)


    

    




(2, 2, 1, 256, 256, 3)

In [5]:

    

# blocks = skimage.util.view_as_blocks(img, (256, 256))
# ValueError: 'block_shape' must have the same length as 'arr_in.shape'


    

In [6]:

    

print(blocks[0, 0, 0].shape)


    

    




(256, 256, 3)

In [7]:

    

skimage.io.imsave('data/dst/skimage_block_00.jpg', blocks[0, 0, 0])
skimage.io.imsave('data/dst/skimage_block_01.jpg', blocks[0, 1, 0])
skimage.io.imsave('data/dst/skimage_block_10.jpg', blocks[1, 0, 0])
skimage.io.imsave('data/dst/skimage_block_11.jpg', blocks[1, 1, 0])


    

In [8]:

    

print(np.shares_memory(img, blocks))


    

    




True

In [9]:

    

blocks[0, 0, 0] = 0
blocks[1, 1, 0] //= 2


    

In [10]:

    

skimage.io.imsave('data/dst/skimage_block_change.jpg', img)


    

In [11]:

    

blocks_s = skimage.util.view_as_blocks(img, (256, 256, 3)).squeeze()
print(blocks_s.shape)


    

    




(2, 2, 256, 256, 3)

In [12]:

    

print(blocks_s[0, 0].shape)


    

    




(256, 256, 3)