code: def expected_output_image_shape(self, images):
      height, width = self.get_expected_values(images, batched=True)
      return self.num_channels, height, width
  
imports: import json
  import pathlib
  import unittest
  from transformers.testing_utils import require_torch, require_vision, slow
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_image_processing_common import AnnotationFormatTestMixin, ImageProcessingTestMixin, prepare_image_inputs
label_desc: Use image node_id 4 for calling the DetrImageProcessingTester obj's underlying member method code with example usage: obj.expected_output_image_shape(images) and returns: self,  height,  width