mirror of
https://github.com/wassname/scikit-image.git
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emmanuelle
55f5103dd8
Modified travis_script.sh to account for the new structure of the gallery Added README.txt files in directories of gallery examples Fixed references to gallery images in user guide pages Fixed broken links
98 lines
1.9 KiB
Python
98 lines
1.9 KiB
Python
"""
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======
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Shapes
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======
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This example shows how to draw several different shapes:
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- line
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- Bezier curve
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- polygon
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- circle
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- ellipse
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Anti-aliased drawing for:
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- line
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- circle
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"""
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import math
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import numpy as np
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import matplotlib.pyplot as plt
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from skimage.draw import (line, polygon, circle,
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circle_perimeter,
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ellipse, ellipse_perimeter,
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bezier_curve)
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fig, (ax1, ax2) = plt.subplots(ncols=2, nrows=1, figsize=(10, 6))
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img = np.zeros((500, 500, 3), dtype=np.double)
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# draw line
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rr, cc = line(120, 123, 20, 400)
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img[rr, cc, 0] = 255
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# fill polygon
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poly = np.array((
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(300, 300),
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(480, 320),
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(380, 430),
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(220, 590),
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(300, 300),
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))
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rr, cc = polygon(poly[:, 0], poly[:, 1], img.shape)
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img[rr, cc, 1] = 1
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# fill circle
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rr, cc = circle(200, 200, 100, img.shape)
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img[rr, cc, :] = (1, 1, 0)
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# fill ellipse
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rr, cc = ellipse(300, 300, 100, 200, img.shape)
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img[rr, cc, 2] = 1
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# circle
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rr, cc = circle_perimeter(120, 400, 15)
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img[rr, cc, :] = (1, 0, 0)
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# Bezier curve
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rr, cc = bezier_curve(70, 100, 10, 10, 150, 100, 1)
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img[rr, cc, :] = (1, 0, 0)
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# ellipses
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rr, cc = ellipse_perimeter(120, 400, 60, 20, orientation=math.pi / 4.)
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img[rr, cc, :] = (1, 0, 1)
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rr, cc = ellipse_perimeter(120, 400, 60, 20, orientation=-math.pi / 4.)
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img[rr, cc, :] = (0, 0, 1)
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rr, cc = ellipse_perimeter(120, 400, 60, 20, orientation=math.pi / 2.)
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img[rr, cc, :] = (1, 1, 1)
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ax1.imshow(img)
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ax1.set_title('No anti-aliasing')
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ax1.axis('off')
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from skimage.draw import line_aa, circle_perimeter_aa
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img = np.zeros((100, 100), dtype=np.double)
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# anti-aliased line
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rr, cc, val = line_aa(12, 12, 20, 50)
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img[rr, cc] = val
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# anti-aliased circle
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rr, cc, val = circle_perimeter_aa(60, 40, 30)
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img[rr, cc] = val
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ax2.imshow(img, cmap=plt.cm.gray, interpolation='nearest')
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ax2.set_title('Anti-aliasing')
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ax2.axis('off')
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plt.show()
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