code: def test_correct_output_shape(self):
      img = np.random.rand(928, 928, 3) * 255
      v = Visualizer(img, self.metadata)
      out = v.output.get_image()
      self.assertEqual(out.shape, img.shape)
  
imports: import numpy
  import os
  import tempfile
  import unittest
  import cv2
  import torch
  from detectron2.data import MetadataCatalog
  from detectron2.structures import BoxMode, Instances, RotatedBoxes
  from detectron2.utils.visualizer import ColorMode, Visualizer
label_desc: Use image node_id 10 for calling the TestVisualizer obj's underlying member method code with example usage: obj.test_correct_output_shape() without return types