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@ -9,13 +9,7 @@ from Levenshtein import StringMatcher as sm
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reload(sys)
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reload(sys)
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sys.setdefaultencoding("utf-8")
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sys.setdefaultencoding("utf-8")
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# parent= "/Users/yujinke/车牌图片/云南车牌"
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parent= "you folder"
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parent= "/Users/yujinke/车牌图片/收费站_完成标注"
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# parent= "./cache/bad2"
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def comparestring(a,b):
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def comparestring(a,b):
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g = 0
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g = 0
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@ -24,22 +18,12 @@ def comparestring(a,b):
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if x!=y:
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if x!=y:
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g+=1
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g+=1
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return g
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return g
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#
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# A = "赣FJ0368".decode("utf-8")
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# B = "琼WJ0368".decode("utf-8")
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# print "对比",comparestring(A,B)
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count = 0 ;
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count = 0 ;
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count_p = 0
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count_p = 0
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count_d = 0
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count_d = 0
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count_lev = 0
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count_lev = 0
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count_undetected = 0
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count_undetected = 0
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roi = [470,400,650,580]
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roi = [470,400,650,580]
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for filename in os.listdir(parent):
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for filename in os.listdir(parent):
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path = os.path.join(parent,filename)
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path = os.path.join(parent,filename)
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@ -84,21 +68,8 @@ for filename in os.listdir(parent):
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# cv2.imshow("image",image)
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# cv2.imshow("image",image)
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# cv2.waitKey(0)
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# cv2.waitKey(0)
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# break
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# break
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count+=1
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count+=1
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print count_p / float(count),"编辑距离[1]:",count_lev/float(count),u"识出",count_p,u"总数",count,u"未识出",count_d,u"未检测出",count_undetected
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print count_p / float(count),"编辑距离[1]:",count_lev/float(count),u"识出",count_p,u"总数",count,u"未识出",count_d,u"未检测出",count_undetected
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if count_p+count_d+count_undetected!=count:
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if count_p+count_d+count_undetected!=count:
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print dataset,len(dataset)
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print dataset,len(dataset)
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# exit(0)
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# exit(0)
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#
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# cv2.imshow("image",image)
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# cv2.waitKey(0)
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# print count_p/float(count)
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