code: def nss(prediction, fix):
      
  
      prediction = prediction - np.mean(prediction)
      prediction = prediction / np.std(prediction)
      return np.mean(prediction[fix[0], fix[1]])
docs: Compute the normalized scanpath salience
  
      input:
          fix : list, l[0] contains y, l[1] contains x