python: 'cv2.' -> 'cv.' via 'import cv2 as cv'
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+22
-22
@@ -18,7 +18,7 @@ if PY3:
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xrange = range
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import numpy as np
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import cv2
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import cv2 as cv
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def make_image():
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img = np.zeros((500, 500), np.uint8)
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@@ -33,19 +33,19 @@ def make_image():
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c, s = np.cos(angle), np.sin(angle)
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x1, y1 = np.int32([dx+100+j*10-80*c, dy+100-90*s])
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x2, y2 = np.int32([dx+100+j*10-30*c, dy+100-30*s])
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cv2.line(img, (x1, y1), (x2, y2), white)
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cv.line(img, (x1, y1), (x2, y2), white)
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cv2.ellipse( img, (dx+150, dy+100), (100,70), 0, 0, 360, white, -1 )
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cv2.ellipse( img, (dx+115, dy+70), (30,20), 0, 0, 360, black, -1 )
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cv2.ellipse( img, (dx+185, dy+70), (30,20), 0, 0, 360, black, -1 )
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cv2.ellipse( img, (dx+115, dy+70), (15,15), 0, 0, 360, white, -1 )
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cv2.ellipse( img, (dx+185, dy+70), (15,15), 0, 0, 360, white, -1 )
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cv2.ellipse( img, (dx+115, dy+70), (5,5), 0, 0, 360, black, -1 )
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cv2.ellipse( img, (dx+185, dy+70), (5,5), 0, 0, 360, black, -1 )
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cv2.ellipse( img, (dx+150, dy+100), (10,5), 0, 0, 360, black, -1 )
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cv2.ellipse( img, (dx+150, dy+150), (40,10), 0, 0, 360, black, -1 )
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cv2.ellipse( img, (dx+27, dy+100), (20,35), 0, 0, 360, white, -1 )
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cv2.ellipse( img, (dx+273, dy+100), (20,35), 0, 0, 360, white, -1 )
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cv.ellipse( img, (dx+150, dy+100), (100,70), 0, 0, 360, white, -1 )
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cv.ellipse( img, (dx+115, dy+70), (30,20), 0, 0, 360, black, -1 )
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cv.ellipse( img, (dx+185, dy+70), (30,20), 0, 0, 360, black, -1 )
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cv.ellipse( img, (dx+115, dy+70), (15,15), 0, 0, 360, white, -1 )
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cv.ellipse( img, (dx+185, dy+70), (15,15), 0, 0, 360, white, -1 )
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cv.ellipse( img, (dx+115, dy+70), (5,5), 0, 0, 360, black, -1 )
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cv.ellipse( img, (dx+185, dy+70), (5,5), 0, 0, 360, black, -1 )
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cv.ellipse( img, (dx+150, dy+100), (10,5), 0, 0, 360, black, -1 )
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cv.ellipse( img, (dx+150, dy+150), (40,10), 0, 0, 360, black, -1 )
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cv.ellipse( img, (dx+27, dy+100), (20,35), 0, 0, 360, white, -1 )
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cv.ellipse( img, (dx+273, dy+100), (20,35), 0, 0, 360, white, -1 )
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return img
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if __name__ == '__main__':
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@@ -54,17 +54,17 @@ if __name__ == '__main__':
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img = make_image()
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h, w = img.shape[:2]
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_, contours0, hierarchy = cv2.findContours( img.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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contours = [cv2.approxPolyDP(cnt, 3, True) for cnt in contours0]
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_, contours0, hierarchy = cv.findContours( img.copy(), cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
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contours = [cv.approxPolyDP(cnt, 3, True) for cnt in contours0]
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def update(levels):
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vis = np.zeros((h, w, 3), np.uint8)
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levels = levels - 3
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cv2.drawContours( vis, contours, (-1, 2)[levels <= 0], (128,255,255),
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3, cv2.LINE_AA, hierarchy, abs(levels) )
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cv2.imshow('contours', vis)
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cv.drawContours( vis, contours, (-1, 2)[levels <= 0], (128,255,255),
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3, cv.LINE_AA, hierarchy, abs(levels) )
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cv.imshow('contours', vis)
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update(3)
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cv2.createTrackbar( "levels+3", "contours", 3, 7, update )
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cv2.imshow('image', img)
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cv2.waitKey()
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cv2.destroyAllWindows()
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cv.createTrackbar( "levels+3", "contours", 3, 7, update )
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cv.imshow('image', img)
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cv.waitKey()
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cv.destroyAllWindows()
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