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				@@ -15,15 +15,16 @@ def recognize(image): 
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				     binary[np.any(hsv > 190, axis=2)] = 1 
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				-    cv2.imshow('Image', binary) 
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				- 
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				+    contours = cv2.findContours(binary.astype('uint8'), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)[0] 
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				+    for i,contour in enumerate(contours): 
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				+        # print(contour) 
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				+        print(chose(contour)) 
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				+        if chose(contour) == 'circle': 
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				+            cv2.drawContours(image, contours, i, (0, 255, 0), 10) 
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				+ 
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				+    cv2.imshow('Image', image) 
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				     while cv2.waitKey(1) != ord('q'): continue 
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				-    labels, labeledScreen = cv2.connectedComponents(binary) 
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				-    cnts, hierrache = cv2.findContours(labels, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE) 
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				-    for label in labels: 
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				-        print(chose(label)) 
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				- 
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				     # image = image[t_min_loc1[1] + 20:t_min_loc2[1], t_min_loc1[0] + 20:t_min_loc2[0]] 
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				     # hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) 
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