                              dest="write_image",
                              default=False,
                              help="Writes the training result to a file even on preview mode.")
          parser.add_argument('-t', '--trainer',
                              type=str, choices=("Original","LowMem"),
                              default="Original",
                              help="Select which trainer to use, LowMem for cards < 2gb.")
          parser.add_argument('-bs', '--batch-size',
                              type=int,
                              default=64,
 
</s> remove         model = PluginLoader.get_model(self.arguments.trainer)(self.arguments.model_dir)
 </s> add         # this is so that you can enter case insensitive values for trainer
        trainer = self.arguments.trainer
        trainer = trainer if trainer != "Lowmem" else "LowMem"
        model = PluginLoader.get_model(trainer)(self.arguments.model_dir) </s> remove             print('Preparing %s' % (filename))
 </s> add  </s> remove 
        converter = PluginLoader.get_converter(conv_name)(model.converter(False))
 </s> add         converter = PluginLoader.get_converter(conv_name)(model.converter(False),
            blur_size=self.arguments.blur_size,
            seamless_clone=self.arguments.seamless_clone,
            mask_type=self.arguments.mask_type,
            erosion_kernel_size=self.arguments.erosion_kernel_size,
            smooth_mask=self.arguments.smooth_mask,
            avg_color_adjust=self.arguments.avg_color_adjust
        ) </s> remove         trainer = PluginLoader.get_trainer(self.arguments.trainer)(model,
 </s> add         trainer = PluginLoader.get_trainer(trainer)(model,
                            type=str,
                            choices=("Original", "LowMem"),
                              dest="write_image",
                              default=False,
                              help="Writes the training result to a file even on preview mode.")
          parser.add_argument('-t', '--trainer',
                            type=str,
                            choices=("Original", "LowMem"),
                              default="Original",
                              help="Select which trainer to use, LowMem for cards < 2gb.")
          parser.add_argument('-bs', '--batch-size',
                              type=int,
                              default=64,
keep keep keep keep replace keep keep keep keep keep
 extended arguments for convert.py (#89)

* extended arguments for convert re https://github.com/deepfakes/faceswap/issues/85

* helptext for extended arguments.

* changed default mask type to facehullandrect 
scripts/train.py