# -*- coding: utf-8 -*-
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#匹配相应的模板
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__author__ = '上海色宁'
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import cv2
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import sys
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import numpy as np
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from matplotlib import pyplot as plt
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img = cv2.imread(sys.argv[1], 0)
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template = cv2.imread(sys.argv[2], 0)
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h, w = template.shape[:2] # rows->h, cols->w
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# 6种匹配方法
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methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
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'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
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for meth in methods:
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img2 = img.copy()
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# 匹配方法的真值
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method = eval(meth)
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res = cv2.matchTemplate(img, template, method)
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min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
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# 如果是平方差匹配TM_SQDIFF或归一化平方差匹配TM_SQDIFF_NORMED，取最小值
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if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
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top_left = min_loc
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else:
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top_left = max_loc
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bottom_right = (top_left[0] + w, top_left[1] + h)
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# top_left[0]-->column top_left[1]-->row
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# 画矩形
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cv2.rectangle(img2, top_left, bottom_right, 255, 2)
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plt.subplot(121), plt.imshow(res, cmap='gray')
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plt.xticks([]), plt.yticks([]) # 隐藏坐标轴
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plt.subplot(122), plt.imshow(img2, cmap='gray')
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plt.xticks([]), plt.yticks([])
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plt.suptitle(meth)
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plt.show()
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