Note
Go to the end to download the full example code.
1.5.12.11. Plot geometrical transformations on imagesΒΆ
Demo geometrical transformations of images.
Downloading file 'face.dat' from 'https://raw.githubusercontent.com/scipy/dataset-face/main/face.dat' to '/home/runner/.cache/scipy-data'.
# Load some data
import scipy as sp
face = sp.datasets.face(gray=True)
# Apply a variety of transformations
import matplotlib.pyplot as plt
shifted_face = sp.ndimage.shift(face, (50, 50))
shifted_face2 = sp.ndimage.shift(face, (50, 50), mode="nearest")
rotated_face = sp.ndimage.rotate(face, 30)
cropped_face = face[50:-50, 50:-50]
zoomed_face = sp.ndimage.zoom(face, 2)
zoomed_face.shape
plt.figure(figsize=(15, 3))
plt.subplot(151)
plt.imshow(shifted_face, cmap="gray")
plt.axis("off")
plt.subplot(152)
plt.imshow(shifted_face2, cmap="gray")
plt.axis("off")
plt.subplot(153)
plt.imshow(rotated_face, cmap="gray")
plt.axis("off")
plt.subplot(154)
plt.imshow(cropped_face, cmap="gray")
plt.axis("off")
plt.subplot(155)
plt.imshow(zoomed_face, cmap="gray")
plt.axis("off")
plt.subplots_adjust(wspace=0.05, left=0.01, bottom=0.01, right=0.99, top=0.99)
plt.show()
Total running time of the script: (0 minutes 0.835 seconds)