How to use the neuroglancer.AnnotationLayer function in neuroglancer

def _set_viewer_seeds(s, seeds):
    for inclusive in [False, True]:
        layer_name = 'inclusive-seeds' if inclusive else 'exclusive-seeds'
        s.layers[layer_name] = neuroglancer.AnnotationLayer(
            annotation_color='green' if inclusive else 'red',
            annotations=[
                dict(
                    type='point',
                    id=x['id'],
                    point=x['position'],
                    description=str(x['supervoxel_id']),
                ) for x in seeds[inclusive]
            ],