code: def apply(self, sample, context=None):
      img, line_strings, seg = self.iaa_transform(
          image=sample["image"],
          line_strings=sample["lanes"],
          segmentation_maps=sample["mask"],
      )
      sample["image"] = img
      sample["lanes"] = line_strings
      sample["mask"] = seg
      return sample
  
imports: import numpy
  import imgaug.augmenters
  from .operators import BaseOperator, register_op
  from ppdet.utils.logger import setup_logger
  from ppdet.data.culane_utils import linestrings_to_lanes, transform_annotation
label_desc: Use image node_id 2 for calling the CULaneTrainProcess obj's underlying member method code with example usage: obj.apply(sample, context) and returns: sample