text: import cv2 as cv
  import numpy as np
  
  # loads images
  haystack_img = cv.imread('starcraftBase.jpg', cv.IMREAD_UNCHANGED)
  needle_img = cv.imread('commandCenter.jpg', cv.IMREAD_UNCHANGED)
  
  # finds imagine in haystack
  result = cv.matchTemplate(haystack_img, needle_img, cv.TM_CCOEFF_NORMED)
  
  # best match positions 
  min_val, max_val, min_loc, max_loc = cv.minMaxLoc(result)
  print('Best match top left position: ', str(max_loc))
  print('Best match confidence: ', max_val)
  
  threshold = 0.8
  if max_val >= threshold:
      print('Needle found')
  
      # get the dimensions of the image
      needle_w = needle_img.shape[1]
      needle_h = needle_img.shape[0]
      
      top_left = max_loc
      bottom_right = (top_left[0] + needle_w, top_left[1] + needle_h)
  
      # draws box around object
      cv.rectangle(haystack_img, top_left, bottom_right, color = (0,255,0), thickness = 2, lineType = cv.LINE_4)
      cv.imshow('Result', haystack_img)
      cv.waitKey()
  else:
      print('Needle not found')
  