code: def get_light_map_drawer3(img):
      gray = img
      blur = cv2.blur(gray, ksize=(5, 5))
      highPass = gray.astype(int) - blur.astype(int) + 255
      highPass[highPass < 0] = 0
      highPass[highPass > 255] = 255
      highPass = highPass.astype(np.float32)
      highPass = highPass / 255.0
      highPass = 1 - highPass
      return highPass
  
imports: import numpy
  import cv2
  from scipy import ndimage
label_desc: Use image node_id 7 for calling a global function with example usage: get_light_map_drawer3(img) and returns: highPass