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visualisation.py
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visualisation.py
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"""
Visualising animations
"""
import numpy as np
def reshape_and_tile_images(array, shape=(28, 28), n_cols=None):
if n_cols is None:
n_cols = int(math.sqrt(array.shape[0]))
n_rows = int(np.ceil(float(array.shape[0])/n_cols))
if len(shape) == 2:
order = 'C'
else:
order = 'F'
def cell(i, j):
ind = i*n_cols+j
if i*n_cols+j < array.shape[0]:
return array[ind].reshape(*shape, order='C')
else:
return np.zeros(shape)
def row(i):
return np.concatenate([cell(i, j) for j in range(n_cols)], axis=1)
return np.concatenate([row(i) for i in range(n_rows)], axis=0)
def plot_images(images, shape, path, filename, n_rows = 10, color = True):
# finally save to file
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
images = reshape_and_tile_images(images, shape, n_rows)
if color:
from matplotlib import cm
plt.imsave(fname=path+filename+".png", arr=images, cmap=cm.Greys_r)
else:
plt.imsave(fname=path+filename+".png", arr=images, cmap='Greys')
#plt.axis('off')
#plt.tight_layout()
#plt.savefig(path + filename + ".png", format="png")
print("saving image to " + path + filename + ".png")
plt.close()