code: def _create_dp_data(self, anns, blob_def=None):
      dp_data = DensePoseDataRelative(anns)
      if blob_def is not None:
          dp_data.segm[
              blob_def["c"][0]
              - blob_def["r"] : blob_def["c"][0]
              + blob_def["r"],
              blob_def["c"][1]
              - blob_def["r"] : blob_def["c"][1]
              + blob_def["r"],
          ] = 1
      return dp_data
  
file_path: detectron2/projects/DensePose/tests/test_cse_annotations_accumulator.py
imports: import unittest
  import torch
  from detectron2.structures import Boxes, BoxMode, Instances
  from densepose.modeling.losses.embed_utils import CseAnnotationsAccumulator
  from densepose.structures import DensePoseDataRelative, DensePoseList
label_desc: Use image node_id 9 for calling the TestCseAnnotationsAccumulator obj's underlying member method code with example usage: obj._create_dp_data(anns, blob_def) and returns: dp_data