text: import cv2
  import numpy as np
  from matplotlib import pyplot as plt
  
  
  if __name__ == "__main__":
      img = cv2.imread('E:/2020 - Images/I',1)
      rows,cols = img.shape[:2]
      zeros = np.copy(img)
      zeros[:,:,:] = 0
      a = cv2.getGaussianKernel(cols,900)
      b = cv2.getGaussianKernel(rows,900)
      c = b*a.T
      d = c/c.max()
      output_image = img*d
  
      cv2.imshow('vig2.png',output_image)
      cv2.waitKey(0)