5. Image entropy

See: https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.entropy

Entropy is a statistical measure of randomness that can be used to characterize the texture of the input image.

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5.1. Entropy

Use the Image.entropy(mask=None, extrema=None) method to return a float value representing the image entropy.

If a mask is provided, the method employs the histogram for those parts of the image where the mask image is non-zero. The mask image must have the same size as the image, and be either a bi-level image (mode 1) or a greyscale image (L).

extrema - An optional tuple of manually-specified extrema for the minimum and maximum pixel values for each band in the image.

from PIL import Image

with Image.open("shapes/box.png") as im:
    print(im.entropy())
    # 2.5