In [1]:

    

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt


    

In [2]:

    

PATH = 'lilacsat1-data/'


    

In [3]:

    

yy = np.fromfile(PATH + '654_dk3wn.jpg', dtype='uint8')[:0x3b72]
y = np.fromfile(PATH + '654.jpg', dtype='uint8')[:0x3b72]
x = np.fromfile(PATH + '654_dk3wn_2.jpg', dtype='uint8')[:0x3b72]


    

In [4]:

    

plt.imshow((x==0)[:x.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[4]:





<matplotlib.image.AxesImage at 0x7fa7edab5908>






    

In [5]:

    

plt.imshow((yy==0)[:yy.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[5]:





<matplotlib.image.AxesImage at 0x7fa7ed9cf400>






    

In [6]:

    

missing = np.all((x==0)[:x.size//64*64].reshape((-1,64)), axis=1)


    

In [7]:

    

plt.imshow((y==0)[:y.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[7]:





<matplotlib.image.AxesImage at 0x7fa7ed9aceb8>






    

In [8]:

    

z = x.copy()
z[:z.size//64*64].reshape((-1,64))[missing,:] = y[:y.size//64*64].reshape((-1,64))[missing,:]


    

In [9]:

    

missing = np.all((z==0)[:z.size//64*64].reshape((-1,64)), axis=1)
z[:z.size//64*64].reshape((-1,64))[missing,:] = yy[:yy.size//64*64].reshape((-1,64))[missing,:]


    

In [10]:

    

plt.imshow((z==0)[:z.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[10]:





<matplotlib.image.AxesImage at 0x7fa7ed90e080>






    

In [11]:

    

z.tofile(PATH + '654_fixed.jpg')


    

In [12]:

    

x = np.fromfile(PATH + '653.jpg', dtype='uint8')[:0x4324]
y = np.fromfile(PATH + '653_dk3wn.jpg', dtype='uint8')[:0x4324]
yy = np.fromfile(PATH + '653_2.jpg', dtype='uint8')[:0x4324]


    

In [13]:

    

plt.imshow((x==0)[:x.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[13]:





<matplotlib.image.AxesImage at 0x7fa7eee44128>






    

In [14]:

    

missing = np.all((x==0)[:x.size//64*64].reshape((-1,64)), axis=1)


    

In [15]:

    

plt.imshow((y==0)[:y.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[15]:





<matplotlib.image.AxesImage at 0x7fa7eee1e668>






    

In [16]:

    

z = x.copy()
z[:z.size//64*64].reshape((-1,64))[missing,:] = y[:y.size//64*64].reshape((-1,64))[missing,:]


    

    




/usr/lib64/python3.6/site-packages/ipykernel_launcher.py:2: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 206 but corresponding boolean dimension is 268
  

In [17]:

    

plt.imshow((z==0)[:z.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[17]:





<matplotlib.image.AxesImage at 0x7fa7eed81a58>






    

In [18]:

    

plt.imshow((yy==0)[:yy.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[18]:





<matplotlib.image.AxesImage at 0x7fa7eed65160>






    

In [19]:

    

missing = np.all((z==0)[:z.size//64*64].reshape((-1,64)), axis=1)
z[:z.size//64*64].reshape((-1,64))[missing,:] = yy[:yy.size//64*64].reshape((-1,64))[missing,:]


    

In [20]:

    

plt.imshow((z==0)[:z.size//64*64].reshape((-1,64)), aspect = 0.2)


    

    
Out[20]:





<matplotlib.image.AxesImage at 0x7fa7eecc0518>






    

In [21]:

    

plt.imshow((z!=yy)[:z.size//64*64].reshape((-1,64))[105:140,:], aspect = 1)


    

    
Out[21]:





<matplotlib.image.AxesImage at 0x7fa7eec96b00>






    

In [22]:

    

z[:z.size//64*64].reshape((-1,64))[105:107,:] = y[:y.size//64*64].reshape((-1,64))[105:107,:]
z[:z.size//64*64].reshape((-1,64))[129,:] = yy[:y.size//64*64].reshape((-1,64))[129,:]


    

In [23]:

    

plt.imshow((z!=yy)[:z.size//64*64].reshape((-1,64))[129:135,:], aspect = 1)


    

    
Out[23]:





<matplotlib.image.AxesImage at 0x7fa7eebfa518>






    

In [24]:

    

z.tofile(PATH + '653_fixed.jpg')