(self, inputs, output_dir, settings=None)
Generate the visualization.

        All visualizations must implement this method.

        Args:
            inputs (iterable of :class:`PIL.Image`): Batch of input images to
                make visualizations for, as PIL :obj:`Image` objects.
            output_dir (:obj:`str`): A directory to write outputs (e.g.,
                plots) to.
            settings (:obj:`str`): Dictionary of settings that the user
                selected, as a dict mapping setting names to values.  This
                should only be provided if this class's `ALLOWED_SETTINGS`
                attribute is non-null.

        Returns:
            Object used to render the visualization, passed directly to the
            visualization class's associated HTML template.  Since this HTML
            template is custom for each visualization class, the return type
            is arbitrary.
Generate the visualization.
Generate the visualization .
def make_visualization(self, inputs, output_dir, settings=None):
        """Generate the visualization.

        All visualizations must implement this method.

        Args:
            inputs (iterable of :class:`PIL.Image`): Batch of input images to
                make visualizations for, as PIL :obj:`Image` objects.
            output_dir (:obj:`str`): A directory to write outputs (e.g.,
                plots) to.
            settings (:obj:`str`): Dictionary of settings that the user
                selected, as a dict mapping setting names to values.  This
                should only be provided if this class's `ALLOWED_SETTINGS`
                attribute is non-null.

        Returns:
            Object used to render the visualization, passed directly to the
            visualization class's associated HTML template.  Since this HTML
            template is custom for each visualization class, the return type
            is arbitrary.

        """
        raise NotImplementedError
def make_visualization ( self , inputs , output_dir , settings = None ) : raise NotImplementedError