In [3]:

    

%matplotlib inline
%load_ext autoreload
%autoreload 2
from webclient.image_ops import search as data
from webclient.image_ops import convert_images as ci
import matplotlib.pyplot as plt


    

    




The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload

In [6]:

    

parentCrop, labelMask = data.trainingsPatchForLabel(ImageLabel.objects.last())


    

In [7]:

    

type(parentCrop)


    

    
Out[7]:





numpy.ndarray

In [9]:

    

plt.subplot(1,3,1)
plt.imshow(parentCrop)
plt.subplot(1,3,2)
plt.imshow(labelMask)
plt.subplot(1,3,3)
plt.imshow(parentCrop)
plt.hold
plt.imshow(labelMask*10+parentCrop[:,:,0])


    

    
Out[9]:





<matplotlib.image.AxesImage at 0x7f856b6972d0>






    

In [64]:

    

import numpy as np


    

In [ ]:

    

np.array()