def METHOD_NAME(self, path, color_map=None):
    '''
    The pre processed image is finally visulalized and saved. Each category of the label has been
    assigned a particular color and same color mapping is used during visualization. When the color_map
    is None, the number of categories by default is 20 and the color mapping is selected from a pre defined
    color mapping array. In case you want to save (say) 40 class output labels, color map may be defined as 
    `color_map=np.random.rand(40, 3)`. This is an example of color sampling from RGB space.
    Args:
            label(numpy.ndarray):
                 Post processed image.
    '''
    return save_image(path, self.post_proc, color_map)