class_docstr: Computes the statistics for features of image format.
docstr: Return a fresh, empty accumulator.
  
  Returns:
    An empty accumulator.
code: def create_accumulator(self) -> _PartialImageStats:
      """Return a fresh, empty accumulator.
  
      Returns:
        An empty accumulator.
      """
      return _PartialImageStats()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import collections
  from typing import Iterable, List, Optional, Text
  import numpy
  import pandas
  import pyarrow
  import six
  import tensorflow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import stats_util
  from tfx_bsl.arrow import array_util
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 2 for calling the ImageStatsGenerator obj's underlying member method code with example usage: obj.create_accumulator() and returns: _PartialImageStats