  def train_args(model, model_path, faces, alignments, iterations=5, bs=8, extra_args=""):
      py_exe = sys.executable
      args = "%s faceswap.py train -A %s -ala %s -B %s -alb %s -m %s -t %s -bs %i -it %s %s" % (
          py_exe, faces, alignments, faces,
          alignments, model_path, model, bs, iterations, extra_args
      )
      return args.split()
  
  
  def convert_args(in_path, out_path, model_path, writer, args=None):
 
</s> remove def train_args(model, model_path, faces, alignments, iterations=5, bs=8, extra_args=""):
 </s> add def train_args(model, model_path, faces, alignments, iterations=5, batchsize=8, extra_args=""):
    """ Train command """ </s> remove         logger.info("Initializing %s in %s phase...", self.name, self._plugin_type)
 </s> add         logger.info("Initializing %s (%s)...", self.name, self._plugin_type.title())
        alignments, model_path, model, batchsize, iterations, extra_args
  def train_args(model, model_path, faces, alignments, iterations=5, bs=8, extra_args=""):
      py_exe = sys.executable
      args = "%s faceswap.py train -A %s -ala %s -B %s -alb %s -m %s -t %s -bs %i -it %s %s" % (
          py_exe, faces, alignments, faces,
        alignments, model_path, model, batchsize, iterations, extra_args
      )
      return args.split()
  
  
  def convert_args(in_path, out_path, model_path, writer, args=None):
keep keep keep keep replace keep keep keep keep keep
 Smart Mask - Extract code review

- Lint simple_tests.py
- Only reformat alignments file if it exists otherwise change filename
- Update legacy alignments to new format at all stages
- faces_detect.Mask.from_dict - logging format fix
- convert.py fix otf for new pipeline
- cli.py - Add note that masks not used. Revert convert masks
- faces_detect.py - Revert non-extract code
- Add .p and .pickle extensions for serializer
- plugins/extract revert some changes
- scripts/fsmedia - Revert code changes
- Pipeline - cleanup
- Consistant alpha channel stripping (fixes single-process)
- Store landmarks as numpy array
- Code attribution
- Normalize feed face and reference face to 0.0 - 1.0 in convert
- Lock in mask VRAM sized
- Add documentation to plugin_loader
- Update alignments tool to work with new format 
_travis/simple_tests.py