      model: plugin from :mod:`plugins.train.model`
          The selected model that will be running this trainer
      coverage_ratio: float
          Ratio of face to be cropped out of the training image.
      scaling: float, optional
          The amount to scale the final preview image by. Default: `1.0`
  
      Attributes
      ----------
      images: dict
          The :class:`numpy.ndarray` training images for generating previews on each side. The
 
</s> remove     def __init__(self, model, coverage_ratio, scaling=1.0):
 </s> add     def __init__(self, model, coverage_ratio): </s> remove             sleep(1)  # Let preview instructions flush out to logger
 </s> add             sleep(0.5)  # Let preview instructions flush out to logger </s> remove #: lib/cli/args.py:1066
msgid "Percentage amount to scale the preview by. 100%% is the model output size."
msgstr ""

 </s> add  </s> remove         argument_list.append(dict(
            opts=("-ps", "--preview-scale"),
            action=Slider,
            min_max=(25, 200),
            rounding=25,
            type=int,
            dest="preview_scale",
            default=100,
            group=_("preview"),
            help=_("Percentage amount to scale the preview by. 100%% is the model output size.")))
 </s> add 
      model: plugin from :mod:`plugins.train.model`
          The selected model that will be running this trainer
      coverage_ratio: float
          Ratio of face to be cropped out of the training image.


  
      Attributes
      ----------
      images: dict
          The :class:`numpy.ndarray` training images for generating previews on each side. The
keep keep keep keep replace replace keep keep keep keep keep
 Live Preview - Replace cv2 with matplotlib viewer 
plugins/train/trainer/_base.py