# -*- coding: utf-8 -*-



#匹配相应的模板
__author__ = '上海色宁'

import cv2
import sys
import numpy as np
from matplotlib import pyplot as plt

 
img = cv2.imread(sys.argv[1], 0)
template = cv2.imread(sys.argv[2], 0)
h, w = template.shape[:2]  # rows->h, cols->w
 
# 6种匹配方法
methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
           'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
 
for meth in methods:
    img2 = img.copy()
 
    # 匹配方法的真值
    method = eval(meth)
    res = cv2.matchTemplate(img, template, method)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
 
    # 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
    if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
        top_left = min_loc
    else:
        top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)
    # top_left[0]-->column top_left[1]-->row
    # 画矩形
    cv2.rectangle(img2, top_left, bottom_right, 255, 2)
 
    plt.subplot(121), plt.imshow(res, cmap='gray')
    plt.xticks([]), plt.yticks([])  # 隐藏坐标轴
    plt.subplot(122), plt.imshow(img2, cmap='gray')
    plt.xticks([]), plt.yticks([])
    plt.suptitle(meth)
    plt.show()