          timelapse_output = None
          if self.args.timelapse_output is not None:
              timelapse_output = str(get_folder(self.args.timelapse_output))
  
          for folder in (self.args.timelapse_input_a,
                         self.args.timelapse_input_b,
                         timelapse_output):
              if folder is not None and not os.path.isdir(folder):
                  raise ValueError("The Timelapse path '{}' does not exist".format(folder))
  
          kwargs = {"input_a": self.args.timelapse_input_a,
 
</s> remove         kwargs = {"input_a": self.args.timelapse_input_a,
                  "input_b": self.args.timelapse_input_b,
 </s> add         kwargs = {"input_a": self._args.timelapse_input_a,
                  "input_b": self._args.timelapse_input_b, </s> remove         if self.args.timelapse_output is not None:
            timelapse_output = str(get_folder(self.args.timelapse_output))
 </s> add         if self._args.timelapse_output is not None:
            timelapse_output = str(get_folder(self._args.timelapse_output)) </s> remove         if not self.args.timelapse_input_a or not self.args.timelapse_input_b:
 </s> add         if not self._args.timelapse_input_a or not self._args.timelapse_input_b: </s> remove         """ Perform timelapse """
        logger.debug("Getting timelapse samples: '%s'", side)
        if not self.output_file:
            self.setup(**timelapse_kwargs)
        self.samples.images[side] = self.batchers[side].compile_timelapse_sample()
        logger.debug("Got timelapse samples: '%s' - %s", side, len(self.samples.images[side]))

    def setup(self, input_a=None, input_b=None, output=None):
        """ Set the timelapse output folder """
        logger.debug("Setting up timelapse")
 </s> add         """ Compile the time-lapse preview

        Parameters
        ----------
        side: {"a" or "b"}
            The side that the time-lapse is being generated for
        timelapse_kwargs: dict
            The keyword arguments for setting up the time-lapse. All values should be full paths
            the keys being `input_a`, `input_b`, `output`
        """
        logger.debug("Getting time-lapse samples: '%s'", side)
        if not self._output_file:
            self._setup(**timelapse_kwargs)
        self._samples.images[side] = self._batchers[side].compile_timelapse_sample()
        logger.debug("Got time-lapse samples: '%s' - %s", side, len(self._samples.images[side]))

    def _setup(self, input_a=None, input_b=None, output=None):
        """ Setup the time-lapse folder locations and the time-lapse feed.

        Parameters
        ----------
        input_a: str
            The full path to the time-lapse input folder containing faces for the "a" side
        input_b: str
            The full path to the time-lapse input folder containing faces for the "b" side
        output: str, optional
            The full path to the time-lapse output folder. If ``None`` is provided this will
            default to the model folder
        """
        logger.debug("Setting up time-lapse") </s> remove         logger.debug("Compiling samples: (side: '%s', samples: %s)", self.side, num_images)
        images = images if images is not None else self.target
        retval = [samples[0:num_images]] if samples is not None else [self.samples[0:num_images]]
        if self.use_mask:
            retval.extend(tgt[0:num_images] for tgt in images)
        else:
            retval.extend(images[0:num_images])
 </s> add         logger.debug("Compiling samples: (side: '%s', samples: %s)", self._side, num_images)
        images = images if images is not None else self._target
        masks = masks if masks is not None else self._masks
        samples = samples if samples is not None else self._samples
        retval = [samples[0:num_images], images[0:num_images], masks[0:num_images]]
        for folder in (self._args.timelapse_input_a,
                       self._args.timelapse_input_b,
          timelapse_output = None
          if self.args.timelapse_output is not None:
              timelapse_output = str(get_folder(self.args.timelapse_output))
  
        for folder in (self._args.timelapse_input_a,
                       self._args.timelapse_input_b,
        for folder in (self._args.timelapse_input_a,
                       self._args.timelapse_input_b,
                         timelapse_output):
              if folder is not None and not os.path.isdir(folder):
                  raise ValueError("The Timelapse path '{}' does not exist".format(folder))
  
          kwargs = {"input_a": self.args.timelapse_input_a,
keep keep keep keep replace replace keep keep keep keep keep
 Smart Masks - Training Implementation (#914)

* Smart Masks - Training

- Reinstate smart mask training code
- Reinstate mask_type back to model.config
- change 'replicate_input_mask to 'learn_mask'
- Add learn mask option
- Add mask loading from alignments to plugins.train.trainer
- Add mask_blur and mask threshold options
- _base.py - Pass mask options through training_opts dict
- plugins.train.model - check for mask_type not None for learn_mask and penalized_mask_loss
- Limit alignments loading to just those faces that appear in the training folder
- Raise error if not all training images have an alignment, and alignment file is required
- lib.training_data - Mask generation code
- lib.faces_detect - cv2 dimension stripping bugfix
- Remove cv2 linting code

* Update mask helptext in cli.py

* Fix Warp to Landmarks
Remove SHA1 hashing from training data

* Update mask training config

* Capture missing masks at training init

* lib.image.read_image_batch - Return filenames with batch for ordering

* scripts.train - Documentation

* plugins.train.trainer - documentation

* Ensure backward compatibility.
Fix convert for new predicted masks

* Update removed masks to components for legacy models. 
scripts/train.py