# creates the resulting image with double the size and 3 channels 
output = np.zeros((w+h+h , w + h + h, 3), dtype="uint8")

# top img
output[0:h, h:h+w] = img 
# left img (rotated 90°)
output[h:h+w, 0:h] = np.rot90(img,1) 
# right img (rotated 270°)
output[h:h + w, h + w:h +w +h] = np.rot90(img,3)  
# bottom img (rotated 180°)
output[h+w:h+w+h, h:h+w] = np.rot90(img,2)