class_docstr: Applies a series of data transformations sequentially.
class_docstr_tok: ["Applies","a","series","of","data","transformations","sequentially","."]
code: def to_dict(self):
      return {
          "name": type(self).__name__,
          "transforms": [f.to_dict() for f in self.transforms],
      }
  
imports: from collections import OrderedDict
  import logging
  from typing import List
  from merlion.transform.base import TransformBase, InvertibleTransformBase, Identity
  from merlion.transform.factory import TransformFactory
  from merlion.utils import TimeSeries
label_desc: Use image node_id 6 for calling the TransformSequence obj's underlying member method code with example usage: obj.to_dict() and returns: dict