In [1]:

    

import numpy


    

In [2]:

    

X = numpy.load('../TEMP/X_94.npy')
landmarks = numpy.load('../TEMP/landmarks_94.npy')


    

In [3]:

    

import matplotlib.pyplot as plt
% matplotlib inline


    

    




/var/research/Code/virtualenvs/tensorflow_0_10_0/local/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')

In [4]:

    

img = X[0, :, :, :].transpose(1, 2, 0)
print img.shape


    

    




(96, 96, 3)

In [5]:

    

plt.imshow(img)


    

    
Out[5]:





<matplotlib.image.AxesImage at 0x7f9d288f28d0>






    

In [7]:

    

pts = numpy.reshape(landmarks[0, :], (2, 68), 'F')
print pts.shape


    

    




(2, 68)

In [14]:

    

plt.scatter(pts[0, :], -pts[1, :])


    

    
Out[14]:





<matplotlib.collections.PathCollection at 0x7f9d053bb410>






    

In [12]:

    

plt.imshow(img)
plt.scatter(pts[0, :], pts[1, :])


    

    
Out[12]:





<matplotlib.collections.PathCollection at 0x7f9d2885b850>






    

In [19]:

    

def show_img_with_landmarks(X, landmarks, index):
    img = X[index, :, :, :].transpose(1, 2, 0)
    pts = numpy.reshape(landmarks[index, :], (2, 68), 'F')
    plt.scatter(pts[0, :], -pts[1, :])
    plt.show()
    
    plt.imshow(img)
    plt.scatter(pts[0, :], pts[1, :])
    plt.show()


    

In [22]:

    

for i in range(100):
    show_img_with_landmarks(X, landmarks, i)


    

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