class_docstr: Apply a list of transforms sequentially.
class_docstr_tok: ["Apply","a","list","of","transforms","sequentially","."]
code: def __iadd__(self, other):
      other = (
          other.tfms if isinstance(other, TransformList) else [other]
      )
      self.tfms.extend(other)
      return self
  
imports: import numpy
  import cv2
  from ...utils.argtools import log_once
  from .base import ImageAugmentor, _default_repr
label_desc: Use image node_id 6 for calling the TransformList obj's underlying member method code with example usage: obj.__iadd__(other) and returns: self