import cv2
import numpy as n
import imutils

img_rgb = cv2.imread('/Users/macbook/Downloads/e447a0c9-876b-431b-9c0f-abba6aa88c45.png')
template = cv2.imread('/Users/macbook/Downloads/Waldo.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = n.where(res >= threshold)
for pt in zip(*loc[::-1]): # Switch columns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)
mask = n.zeros(img_rgb.shape, dtype = "uint8")
img_rgb[cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)]
#img_rgb = cv2.addWeighted(img_rgb, 0.3, mask, 0.7, 0)
#cv2.imwrite("result.png"Iutils.resize(img_rgb, height = 650))
cv2.imwrite('result.png', img_rgb)