import numpy as np
from PIL import Image

def combined_display(image, matte):
  # calculate display resolution
  w, h = image.width, image.height
  rw, rh = 800, int(h * 800 / (3 * w))

  # obtain predicted foreground
  image = np.asarray(image)
  if len(image.shape) == 2:
    image = image[:, :, None]
  if image.shape[2] == 1:
    image = np.repeat(image, 3, axis=2)
  elif image.shape[2] == 4:
    image = image[:, :, 0:3]
  matte = np.repeat(np.asarray(matte)[:, :, None], 3, axis=2) / 255
  foreground = image * matte + np.full(image.shape, 255) * (1 - matte)

  # combine image, foreground, and alpha into one line
  combined = np.concatenate((image, foreground, matte * 255), axis=1)
  combined = Image.fromarray(np.uint8(combined)).resize((rw, rh))
  return combined

# visualize all images
image_names = os.listdir(input_folder)
for image_name in image_names:
  matte_name = image_name.split('.')[0] + '.png'
  image = Image.open(os.path.join(input_folder, image_name))
  matte = Image.open(os.path.join(output_folder, matte_name))
  display(combined_display(image, matte))
  print(image_name, '\n')

prompt = ["A amazing realistic photography of the seraphim methraton."]
prompt = ["A amazing realistic photography of the seraphim methraton face."]
https://www.youtube.com/watch?v=RzoO756PvL8&list=RD1hWAOReJehw&index=12