# -*- coding: utf-8 -*-
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#提取电压任务 在返回的图片上截取出液晶屏幕的大小尺寸
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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 datetime
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def task_init_load_digits():
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# 加载数字模板
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path = './templates' # 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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#和模板的数字进行匹配
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digits.append([cv2.imread(path + "/@-0.jpg",cv2.IMREAD_GRAYSCALE),'@'])
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digits.append([cv2.imread(path + "/@-1.jpg",cv2.IMREAD_GRAYSCALE),'@'])
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digits.append([cv2.imread(path + "/@-2.jpg",cv2.IMREAD_GRAYSCALE),'@'])
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digits.append([cv2.imread(path + "/0-0.jpg",cv2.IMREAD_GRAYSCALE),0])
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digits.append([cv2.imread(path + "/0-1.jpg",cv2.IMREAD_GRAYSCALE),0])
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digits.append([cv2.imread(path + "/1-0.jpg",cv2.IMREAD_GRAYSCALE),1])
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digits.append([cv2.imread(path + "/1-1.jpg",cv2.IMREAD_GRAYSCALE),1])
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digits.append([cv2.imread(path + "/2-0.jpg",cv2.IMREAD_GRAYSCALE),2])
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digits.append([cv2.imread(path + "/2-1.jpg",cv2.IMREAD_GRAYSCALE),2])
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digits.append([cv2.imread(path + "/3-0.jpg",cv2.IMREAD_GRAYSCALE),3])
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digits.append([cv2.imread(path + "/4-0.jpg",cv2.IMREAD_GRAYSCALE),4])
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digits.append([cv2.imread(path + "/5-0.jpg",cv2.IMREAD_GRAYSCALE),5])
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digits.append([cv2.imread(path + "/5-1.jpg",cv2.IMREAD_GRAYSCALE),5])
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digits.append([cv2.imread(path + "/5-2.jpg",cv2.IMREAD_GRAYSCALE),5])
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digits.append([cv2.imread(path + "/6-0.jpg",cv2.IMREAD_GRAYSCALE),6])
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digits.append([cv2.imread(path + "/7-0.jpg",cv2.IMREAD_GRAYSCALE),7])
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digits.append([cv2.imread(path + "/8-0.jpg",cv2.IMREAD_GRAYSCALE),8])
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digits.append([cv2.imread(path + "/8-1.jpg",cv2.IMREAD_GRAYSCALE),8])
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digits.append([cv2.imread(path + "/8-2.jpg",cv2.IMREAD_GRAYSCALE),8])
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digits.append([cv2.imread(path + "/8-3.jpg",cv2.IMREAD_GRAYSCALE),8])
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digits.append([cv2.imread(path + "/8-4.jpg",cv2.IMREAD_GRAYSCALE),8])
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digits.append([cv2.imread(path + "/9-0.jpg",cv2.IMREAD_GRAYSCALE),9])
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digits.append([cv2.imread(path + "/9-1.jpg",cv2.IMREAD_GRAYSCALE),9])
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digits.append([cv2.imread(path + "/9-2.jpg",cv2.IMREAD_GRAYSCALE),9])
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digits.append([cv2.imread(path + "/9-3.jpg",cv2.IMREAD_GRAYSCALE),9])
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digits.append([cv2.imread(path + "/9-4.jpg",cv2.IMREAD_GRAYSCALE),9])
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digits = []
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def get_most_simmilar_digit(target_img):
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source = []
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#img_gray = cv2.cvtColor(target_img, cv2.COLOR_BGR2GRAY)
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#ret, binary = cv2.threshold(img_gray,0,255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)
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#循环对比模板的图片
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if len(digits) <5:
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task_init_load_digits()
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for digitROI in digits:
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res = cv2.matchTemplate(target_img, digitROI[0], 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(max(source))
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if max(source) > 0.3 :
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return str(digits[source.index(max(source))][1])
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else:
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return "@"
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if __name__ == '__main__':
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input_dir = "images52"
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filename = os.listdir(input_dir) # 获取文件夹文件
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for file in filename:
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image = cv2.imread(input_dir + "/" + file,0) # 读取图片
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ret, binary = cv2.threshold(image,0,255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)
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num = get_most_simmilar_digit(binary)
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cv2.imwrite("images52_infer/" + str(num)+"_" + file,binary) # 读取图片
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