code: def test_transform_copy_targets(self):
      transform = GeneralizedRCNNTransform(
          300, 500, torch.zeros(3), torch.ones(3)
      )
      image = [torch.rand(3, 200, 300), torch.rand(3, 200, 200)]
      targets = [
          {"boxes": torch.rand(3, 4)},
          {"boxes": torch.rand(2, 4)},
      ]
      targets_copy = copy.deepcopy(targets)
      out = transform(image, targets)  # noqa: F841
      assert_equal(targets[0]["boxes"], targets_copy[0]["boxes"])
      assert_equal(targets[1]["boxes"], targets_copy[1]["boxes"])
  
file_path: vision/test/test_models_detection_utils.py
imports: import copy
  import pytest
  import torch
  from common_utils import assert_equal
  from torchvision.models.detection import _utils, backbone_utils
  from torchvision.models.detection.transform import GeneralizedRCNNTransform
label_desc: Use image node_id 5 for calling the TestModelsDetectionUtils obj's underlying member method code with example usage: obj.test_transform_copy_targets() without return types