python-basic-matplot-numpy-panda-scipy-tkinter/sp13_image_transform.py at main · nishan-paul-2022/python-basic-matplot-numpy-panda-scipy-tkinter · GitHub

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# Plot geometrical transformations on images
# Demo geometrical transformations of images.

# Load some data
from scipy import misc
from scipy import ndimage
from matplotlib import pyplot as plt


face = misc.face(gray=True)

# Apply a variety of transformations
shifted_face = ndimage.shift(face, (50, 50))
shifted_face2 = ndimage.shift(face, (50, 50), mode='nearest')
rotated_face = ndimage.rotate(face, 30)
cropped_face = face[50:-50, 50:-50]
zoomed_face = ndimage.zoom(face, 2)
print(zoomed_face.shape)

plt.figure(figsize=(15, 3))
plt.subplot(151)
plt.imshow(shifted_face, cmap=plt.cm.gray)
plt.axis('off')

plt.subplot(152)
plt.imshow(shifted_face2, cmap=plt.cm.gray)
plt.axis('off')

plt.subplot(153)
plt.imshow(rotated_face, cmap=plt.cm.gray)
plt.axis('off')

plt.subplot(154)
plt.imshow(cropped_face, cmap=plt.cm.gray)
plt.axis('off')

plt.subplot(155)
plt.imshow(zoomed_face, cmap=plt.cm.gray)
plt.axis('off')

plt.subplots_adjust(wspace=.05, left=.01, bottom=.01, right=.99, top=.99)
plt.show()