import cv2
import numpy as np

image=cv2.imread('image.jpg')
cv2.imshow('image',image)
cv2.waitKey(0)
gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)


template=cv2.imread('image_subset.jpg',0)
#template=cv2.imread('image_subset2.jpg',0)
#result of template matching of object over an image
result=cv2.matchTemplate(gray,template,cv2.TM_CCOEFF)
sin_val, max_val, min_loc, max_loc=cv2.minMaxLoc(result)

top_left=max_loc
#increasing the size of bounding rectangle by 50 pixels
bottom_right=(top_left[0]+171,top_left[1]+151)
cv2.rectangle(image, top_left, bottom_right, (0,255,0),5)

cv2.imshow('object found',image)
cv2.waitKey(0)
cv2.destroyAllWindows()