text: 
  import os
  from utils import *
  from model import *
  from PIL import Image
  import sys
  import numpy as np
  from config import *
  
  # Test
  
  #mask owner mask dataset
  def getMask(path):
      mask = Image.open(path)
      return np.array(mask)
  
  def test(image_path,mask_path):
      path = os.path.abspath(".") + "/result/"
      generator = getNetwork()
      all_image_paths = getAllImagePath(image_path)
      mask_paths = getAllImagePath(mask_path)
      generator.load_weights(model_path)
      if(len(all_image_paths)!= len(mask_paths)):
          print("The number of images and masks is unequal !")
          return
      i = 0
      for image_path,mask_path in zip(all_image_paths,mask_paths):
          i += 1
          image = getDataset([image_path]) / 255.
          mask = getMask(mask_path)/255.
  
          result = generator([tf.cast(image[np.newaxis,...],tf.float32),tf.cast(mask[np.newaxis,...],tf.float32)]).numpy()
          result_image = Image.fromarray(np.uint8(result*255))
          result_image.save(path+str(i)+".png")
  
  
  if __name__ =="__main__":
      args = sys.argv
      if(len(args)<2):
          print("Input Invalid")
      else:
          test(args[0],args[1])
  