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In [63]:
import h5py
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
In [61]:
data_hdfs = h5py.File('images/%d.mat' %i)In [67]:
for i in range(1, 200, 20):
data_hdfs = h5py.File('images/%d.mat' %i)
print(i)
data_ = data_hdfs['cjdata']
img = data_['image'].value
plt.imsave('%d.png' % i, img, cmap='gray')
plt.imsave('%d_mask.png' %i, data_['tumorMask'].value, cmap='gray')
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In [37]:
data_ = img_data['cjdata']In [49]:
plt.imsave?In [54]:
i = 0
for name in data_:
if i%20:
img = data_['image'].value
plt.imsave('%d.png' % i, img, cmap='gray')
plt.imsave('%d_mask.png' %i, data_['tumorMask'].value, cmap='gray')
i += 1In [39]:
import matplotlib.pyplot as pltIn [40]:
plt.imshow(data_['image'].value, cmap='gray')Out[40]:
<matplotlib.image.AxesImage at 0x7f03f174f310>
In [ ]:
In [41]:
plt.imshow(data_['tumorMask'].value, cmap='gray')Out[41]:
<matplotlib.image.AxesImage at 0x7f03f04ce6d0>
In [ ]: