Data

scientific images

import matplotlib.pyplot as plt
import matplotlib
from skimage import data

matplotlib.rcParams['font.size'] = 15

images = ('hubble_deep_field',
          'immunohistochemistry',
          'microaneurysms',
          'moon',
          'retina')
for name in images:
    caller = getattr(data,name)
    image = caller()
    plt.figure()
    plt.title(name)
    if image.ndim == 2:
        plt.imshow(image,cmap=plt.cm.gray)
    else:
        plt.imshow(image)
    plt.show()

specific images

Stereo images

fig, axes = plt.subplots(1,2,figsize=(8,4))

ax = axes.ravel()

images = data.stereo_motorcycle()
ax[0].imshow(images[0])
ax[1].imshow(images[1])

fig.tight_layout()
plt.show()

Faces and non-faces dataset

fig,axes = plt.subplots(4,5,figsize=(20,20))
#print(fig)
ax = axes.ravel()
images = data.lfw_subset()
for i in range(20):
    ax[i].imshow(images[i + 90],cmap=plt.cm.gray)
    ax[i].axis('off')
fig.tight_layout()
plt.show()

General-purpose images

images = ('astronaut',
          'binary_blobs',
          'camera',
          'checkerboard',
          'chelsea',
          'clock',
          'coffee',
          'coins',
          'horse',
          'logo',
          'page',
          'text',
          'rocket')
for name in images:
    caller = getattr(data,name)
    image = caller()
    plt.figure()
    plt.title(name)
    if image.ndim == 2:
        plt.imshow(image,cmap=plt.cm.gray)
    else:
        plt.imshow(image)
plt.show()