64 lines
1.1 KiB
Python
64 lines
1.1 KiB
Python
"""
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===============
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Specific images
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===============
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"""
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import matplotlib.pyplot as plt
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import matplotlib
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from skimage import data
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matplotlib.rcParams['font.size'] = 18
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######################################################################
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#
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# Stereo images
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# =============
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fig, axes = plt.subplots(1, 2, figsize=(8, 4))
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ax = axes.ravel()
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images = data.stereo_motorcycle()
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ax[0].imshow(images[0])
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ax[1].imshow(images[1])
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fig.tight_layout()
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plt.show()
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######################################################################
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#
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# PIV images
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# =============
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fig, axes = plt.subplots(1, 2, figsize=(8, 4))
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ax = axes.ravel()
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images = data.vortex()
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ax[0].imshow(images[0])
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ax[1].imshow(images[1])
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fig.tight_layout()
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plt.show()
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######################################################################
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#
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# Faces and non-faces dataset
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# ===========================
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#
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# A sample of 20 over 200 images is displayed.
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fig, axes = plt.subplots(4, 5, figsize=(20, 20))
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ax = axes.ravel()
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images = data.lfw_subset()
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for i in range(20):
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ax[i].imshow(images[90+i], cmap=plt.cm.gray)
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ax[i].axis('off')
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fig.tight_layout()
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plt.show()
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