code: def _create_instances_nodp(self):
      image_shape = (480, 640)
      instances = Instances(image_shape)
      instances.gt_boxes = Boxes(
          torch.as_tensor(
              [
                  [40.0, 40.0, 140.0, 140.0],
                  [160.0, 160.0, 270.0, 270.0],
                  [40.0, 160.0, 160.0, 280.0],
              ]
          )
      )
      instances.proposal_boxes = Boxes(
          torch.as_tensor(
              [
                  [41.0, 39.0, 142.0, 138.0],
                  [161.0, 159.0, 272.0, 268.0],
                  [41.0, 159.0, 162.0, 278.0],
              ]
          )
      )
      # do not add gt_densepose
      return instances
  
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 6 for calling the TestCseAnnotationsAccumulator obj's underlying member method code with example usage: obj._create_instances_nodp() and returns: instances