Note
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2.6.8.4. Image manipulation and NumPy arraysΒΆ
This example shows how to do image manipulation using common NumPy arrays tricks.
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
face = sp.datasets.face(gray=True)
face[10:13, 20:23]
face[100:120] = 255
lx, ly = face.shape
X, Y = np.ogrid[0:lx, 0:ly]
mask = (X - lx / 2) ** 2 + (Y - ly / 2) ** 2 > lx * ly / 4
face[mask] = 0
face[range(400), range(400)] = 255
plt.figure(figsize=(3, 3))
plt.axes((0, 0, 1, 1))
plt.imshow(face, cmap="gray")
plt.axis("off")
plt.show()
Total running time of the script: (0 minutes 0.159 seconds)