Superpixel segmentation

from matplotlib import pyplot as plt
 
face_image = plt.imread('pexels-elias-de-carvalho-1375849.jpg')
 
# Import the slic function from segmentation module
from skimage.segmentation import slic
 
# Import the label2rgb function from color module
from skimage.color import label2rgb
 
def show_image(image, title='Image', cmap_type='gray'):
    plt.imshow(image, cmap=cmap_type)
    plt.title(title)
    plt.axis('off')
    plt.show()
 
nb_pixels = 50
 
for i in range(10):
 
    nb_pixels *= 2
 
    # Obtain the segmentation with 400 regions
    segments = slic(face_image, n_segments = nb_pixels)
 
    # Put segments on top of original image to compare
    segmented_image = label2rgb(segments, face_image, kind='avg')
 
    # Show the segmented image
    show_image(segmented_image, "Segmented image, %s superpixels" % (nb_pixels))
 
    plt.imsave('Segmented-image-%s-superpixels.jpg' % (nb_pixels), segmented_image)