import numpy as np
from cv2_41 import cv2

# Just some random data
new_array = np.ones((960, 240, 240), np.uint8)

# And a random kernel
kernel = np.array([[1,1],[1,1]])

# Make this a simple python list
dilated = []
for i in range(32, 36):
  dilation = cv2.dilate(new_array[i], kernel, iterations = 1)
  # Add dimension "to the beginning" shape (240,240) -> (1,240,240)
  # We need this so we can stack it together at the end
  # And append this to the python list
  dilated.append(np.expand_dims(dilation, axis=0))

# Now stack all the sub-arrays in the list vertically (one below each other, rows are first)
result = np.vstack(dilated)