code: def _create_instances_fulldp(self):
      image_shape = (680, 840)
      instances = Instances(image_shape)
      instances.gt_boxes = Boxes(
          torch.as_tensor(
              [
                  [65.0, 55.0, 165.0, 155.0],
                  [170.0, 175.0, 275.0, 280.0],
                  [55.0, 165.0, 165.0, 275.0],
              ]
          )
      )
      instances.proposal_boxes = Boxes(
          torch.as_tensor(
              [
                  [66.0, 54.0, 166.0, 154.0],
                  [171.0, 174.0, 276.0, 279.0],
                  [56.0, 164.0, 166.0, 274.0],
              ]
          )
      )
      instances.gt_densepose = DensePoseList(
          [
              self._create_dp_data(
                  {
                      "dp_x": [149.99, 198.62, 157.59],
                      "dp_y": [170.74, 197.73, 123.12],
                      "dp_vertex": [3, 4, 5],
                      "ref_model": "cat_5001",
                      "dp_masks": [],
                  },
                  {"c": (100, 100), "r": 50},
              ),
              self._create_dp_data(
                  {
                      "dp_x": [234.53, 116.72, 71.66],
                      "dp_y": [107.53, 11.31, 142.32],
                      "dp_vertex": [6, 7, 8],
                      "ref_model": "dog_5002",
                      "dp_masks": [],
                  },
                  {"c": (200, 150), "r": 40},
              ),
              self._create_dp_data(
                  {
                      "dp_x": [225.54, 202.61, 135.90],
                      "dp_y": [167.46, 181.00, 211.47],
                      "dp_vertex": [9, 10, 11],
                      "ref_model": "elephant_5002",
                      "dp_masks": [],
                  },
                  {"c": (100, 200), "r": 45},
              ),
          ],
          instances.gt_boxes,
          image_shape,
      )
      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 8 for calling the TestCseAnnotationsAccumulator obj's underlying member method code with example usage: obj._create_instances_fulldp() and returns: instances