text: #!/usr/bin/env python
  '''Neural Image Analogies with Keras
  
  Before running this script, download the weights for the convolutional layers of
  the VGG16 model at:
  https://github.com/awentzonline/image-analogies/releases/download/v0.0.5/vgg16_weights.h5
  (source: https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3)
  and make sure the parameter `vgg_weights` matches the location of the file.
  '''
  import time,os
  import image_analogy.argparser
  import image_analogy.main
  
  
  if __name__ == '__main__':
      args = image_analogy.argparser.parse_args()
      if args:
          if args.match_model == 'patchmatch':
              print('Using PatchMatch model')
              from image_analogy.models.nnf import NNFModel as model_class
          else:
              print('Using brute-force model')
              from image_analogy.models.analogy import AnalogyModel as model_class
          start_time = time.time()
          try:
              image_analogy.main.main(args, model_class)
              "Removing all images except latest"
              os.system('rm `ls -t %s/* | tail -n +2`' % args.result_prefix)
              output = os.listdir('/data/output/')[0]
          except KeyboardInterrupt:
              print('Shutting down...')
          print('Done after {:.2f} seconds'.format(time.time() - start_time))
          print("Final image saved at:")
          print(output)