30 lines
890 B
Python
30 lines
890 B
Python
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from matplotlib import pyplot as plt
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import numpy as np
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import torch
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from IPython.display import HTML, display
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def set_default(figsize=(10, 10), dpi=100):
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plt.style.use(['dark_background', 'bmh'])
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plt.rc('axes', facecolor='k')
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plt.rc('figure', facecolor='k')
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plt.rc('figure', figsize=figsize, dpi=dpi)
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def display_images(in_, out, n=1, label=None, count=False):
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for N in range(n):
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if in_ is not None:
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in_pic = in_.data.cpu().view(-1, 28, 28)
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plt.figure(figsize=(18, 4))
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plt.suptitle(label + ' – real test data / reconstructions', color='w', fontsize=16)
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for i in range(4):
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plt.subplot(1,4,i+1)
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plt.imshow(in_pic[i+4*N])
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plt.axis('off')
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out_pic = out.data.cpu().view(-1, 28, 28)
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plt.figure(figsize=(18, 6))
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for i in range(4):
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plt.subplot(1,4,i+1)
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plt.imshow(out_pic[i+4*N])
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plt.axis('off')
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if count: plt.title(str(4 * N + i), color='w')
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