Template Matching With Multiple Source Images In OpenCV And Python

The following is the code in Python and OpenCV for image detection using template matching import numpy as np import cv2 image = cv2.imread('photo.jpg') template = cv2.imread('te

Solution 1:

Assuming that you mean multiple template images, here is something I tried.

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('your\\template images\\template*.png')

for myfile in files1:
    image = cv2.imread(myfile,0)
    template_data.append(image)

test_image=cv2.imread('you\\testimage\\testimage.png')
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)