In [1]:

    

%matplotlib inline
import gridtools.gapfilling as gtg
import numpy as np
from PIL import Image


    

In [2]:

    

im = Image.open("houses-with-gaps.png")
im


    

    
Out[2]:

In [3]:

    

im_data = np.asarray(im, dtype=np.float32)
data = im_data[:,:,0]
alpha = im_data[:,:,3]
data[np.where(alpha < 255)] = np.nan


    

In [4]:

    

data_filled = gtg.fillgaps_lowpass_2d(data)
Image.fromarray(np.uint8(data_filled))


    

    
Out[4]:

In [5]:

    

data_filled = gtg.fillgaps_multiscale_2d(data)
Image.fromarray(np.uint8(data_filled))


    

    
Out[5]:

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