# -*- coding: utf-8 -*-
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#测试模板匹配
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__author__ = '上海色宁'
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import os
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import sys
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import cv2
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import numpy as np
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import uuid
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def load_digits():
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# 加载数字模板
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path = './tm2' # 这个地方就是获取当前运行目录 获取函数在主函数里面
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digits.append(cv2.imread(path + "/t_00.jpg"))
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digits.append(cv2.imread(path + "/t_01.jpg"))
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digits.append(cv2.imread(path + "/t_02.jpg"))
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digits.append(cv2.imread(path + "/t_03.jpg"))
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digits.append(cv2.imread(path + "/t_04.jpg"))
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digits.append(cv2.imread(path + "/t_05.jpg"))
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digits.append(cv2.imread(path + "/t_06.jpg"))
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digits.append(cv2.imread(path + "/t_07.jpg"))
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digits.append(cv2.imread(path + "/t_08.jpg"))
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digits.append(cv2.imread(path + "/t_09.jpg"))
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#digits.append(cv2.imread(path + "/--.jpg"))
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def get_most_simmilar_digit(target_img):
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source = []
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# 遍历数字模板
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for digitROI in digits:
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# 进行模板匹配
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#cv2.imshow('target_img',target_img)
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#cv2.imshow('digitROI',digits[4])
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res = cv2.matchTemplate(target_img, digitROI, cv2.TM_CCOEFF_NORMED)
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max_val = cv2.minMaxLoc(res)[1]
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source.append(max_val)
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#print(source)
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print(source.index(max(source)))
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#判断和模板匹配的相似度
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if max(source) > 0.5 :
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return source.index(max(source))
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else:
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return '-'
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digits = []
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# 测试
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if __name__ == '__main__':
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load_digits();
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path = "as"
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filename = os.listdir(path) # 获取文件夹文件
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for file in filename:
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img = cv2.imread(path + "/" + file) # 读取图片
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t,dst1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
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HSV = cv2.cvtColor(dst1, cv2.COLOR_BGR2HSV)
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H, S, V = cv2.split(HSV)
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LowerYellow = np.array([20, 20, 20])
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UpperYellow = np.array([30, 255, 255])
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mask = cv2.inRange(HSV, LowerYellow, UpperYellow)
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YelloThings = cv2.bitwise_and(dst1, dst1, mask=mask)
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#cv2.imshow("src",YelloThings)
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#cv2.waitKey(0)
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addtext =get_most_simmilar_digit(YelloThings)#调取上面的方法
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if not addtext=="-" :
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cv2.imwrite(path + "2/"+str(addtext)+"__"+file,YelloThings)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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cv2.destroyAllWindows()
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