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util.py
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util.py
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import os
import math
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Uses pyplot to display the passed in image
def plot_save_single(image, save_only=False, dir=None, name=None):
if image.shape[2] == 1:
image = image.squeeze()
plt.imshow(image, cmap="Greys_r")
plt.axis('off')
if save_only:
if dir == None or name == None:
raise ValueError("Need a dir/name for saving image to disk")
save_name = os.path.join(dir, name)
plt.savefig(save_name, bbox_inches='tight')
plt.close()
else:
plt.show()
# Plots a batch of images and optionally saves to disk
def plot_save_batch(batch, iter_num, save_only=False, prefix=""):
output_dir = "out"
(mb_size, width, height, channels) = batch.shape
sqrt = math.sqrt(mb_size)
if sqrt.is_integer():
fig_shape = (int(sqrt), int(sqrt))
else:
fig_shape = (1, mb_size)
fig = plt.figure(figsize=fig_shape)
gs = gridspec.GridSpec(*fig_shape)
gs.update(wspace=0.05, hspace=0.05)
for i, sample in enumerate(batch):
ax = plt.subplot(gs[i])
plt.axis('off')
ax.set_xticklabels([])
ax.set_yticklabels([])
ax.set_aspect('equal')
if sample.shape[2] == 1:
sample = sample.squeeze()
plt.imshow(sample, cmap="Greys_r")
if save_only:
plt.savefig(os.path.join(output_dir, prefix+str(iter_num).zfill(3)+".png"), bbox_inches='tight')
plt.close(fig)
else:
plt.show()