class_docstr: Compose multiple transforms sequentially.
  
  Args:
      transforms (Sequence[dict | callable]): Sequence of transform object or
          config dict to be composed.
code: def __repr__(self):
      format_string = self.__class__.__name__ + "("
      for t in self.transforms:
          format_string += "\n"
          format_string += f"    {t}"
      format_string += "\n)"
      return format_string
  
file_path: insightface/detection/scrfd/mmdet/datasets/pipelines/compose.py
imports: import collections
  from mmcv.utils import build_from_cfg
  from ..builder import PIPELINES
label_desc: Use image node_id 3 for calling the Compose obj's underlying member method code with example usage: obj.__repr__() and returns: format_string