import cv2
import numpy as np
import matplotlib.pyplot as plt
import sys
import requests
import os
img_rgb = cv2.imread('1.png')
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread('2.png',0)
w, h = template.shape[::-1]
res = cv2.matchTemplate(img_gray,template,cv2.TM_SQDIFF_NORMED)
threshold = 0.4
loc = np.where( res >= threshold)
f = set()
for pt in zip(*loc[::-1]):
cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2)
sensitivity = 60
f.add((round(pt[0]/sensitivity), round(pt[1]/sensitivity)))
cv2.imwrite('result.png',img_rgb)
found_count = len(f)
if found_count >0:
print ("found")
else:
print ("not found")