Also, removed the one from modules/python/src2/cv.py and cleared its executable bit, since it's not a script.
		
			
				
	
	
		
			49 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			49 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
#!/usr/bin/env python
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'''
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Simple "Square Detector" program.
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Loads several images sequentially and tries to find squares in each image.
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'''
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import numpy as np
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import cv2
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def angle_cos(p0, p1, p2):
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    d1, d2 = (p0-p1).astype('float'), (p2-p1).astype('float')
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    return abs( np.dot(d1, d2) / np.sqrt( np.dot(d1, d1)*np.dot(d2, d2) ) )
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def find_squares(img):
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    img = cv2.GaussianBlur(img, (5, 5), 0)
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    squares = []
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    for gray in cv2.split(img):
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        for thrs in xrange(0, 255, 26):
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            if thrs == 0:
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                bin = cv2.Canny(gray, 0, 50, apertureSize=5)
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                bin = cv2.dilate(bin, None)
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            else:
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                retval, bin = cv2.threshold(gray, thrs, 255, cv2.THRESH_BINARY)
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            contours, hierarchy = cv2.findContours(bin, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
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            for cnt in contours:
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                cnt_len = cv2.arcLength(cnt, True)
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                cnt = cv2.approxPolyDP(cnt, 0.02*cnt_len, True)
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                if len(cnt) == 4 and cv2.contourArea(cnt) > 1000 and cv2.isContourConvex(cnt):
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                    cnt = cnt.reshape(-1, 2)
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                    max_cos = np.max([angle_cos( cnt[i], cnt[(i+1) % 4], cnt[(i+2) % 4] ) for i in xrange(4)])
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                    if max_cos < 0.1:
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                        squares.append(cnt)
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    return squares
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if __name__ == '__main__':
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    from glob import glob
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    for fn in glob('../cpp/pic*.png'):
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        img = cv2.imread(fn)
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        squares = find_squares(img)
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        cv2.drawContours( img, squares, -1, (0, 255, 0), 3 )
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        cv2.imshow('squares', img)
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        ch = 0xFF & cv2.waitKey()
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        if ch == 27:
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            break
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    cv2.destroyAllWindows()
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