how to do template matching with single template and finding same from 100's of images in folder

Question

import cv2 import numpy as np import glob

#empty list to store template images template_data=[]

#make a list of all template images from a directory files1= glob.glob('Fundus_images/*/002.jpg')

for myfile in files1:

image = cv2.imread(myfile,0)

template_data.append(image)

test_image=cv2.imread('001.jpg')

test_image= cv2.cvtColor(test_image, cv2.COLOR_BGR2GRAY)

#loop for matching for tmp in template_data:

(tH, tW) = tmp.shape[:2]

cv2.imshow("Template", tmp)

cv2.waitKey(1000)

cv2.destroyAllWindows()

result = cv2.matchTemplate(test_image, tmp, cv2.TM_CCOEFF)

min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)

top_left = max_loc

bottom_right = (top_left[0] + tW, top_left[1] + tH)

cv2.rectangle(test_image,top_left, bottom_right,255, 2)

cv2.imshow('Result',test_image)

cv2.waitKey(0)