code: def test_preprocess_without_augmentation(self):
      preprocessor = image_preprocessing.Preprocessor(
          input_shape=[2, 2],
          num_classes=2,
          mean_rgb=[0.0],
          stddev_rgb=[255.0],
          use_augmentation=False,
      )
      actual_image = np.array(
          [
              [
                  [0.0, 0.00392157, 0.00784314],
                  [0.14117648, 0.14509805, 0.14901961],
              ],
              [
                  [0.37647063, 0.3803922, 0.38431376],
                  [0.5176471, 0.52156866, 0.5254902],
              ],
          ]
      )
  
      image = _get_preprocessed_image(preprocessor)
      self.assertTrue(np.allclose(image, actual_image, atol=1e-05))
  
file_path: mediapipe/mediapipe/model_maker/python/vision/core/image_preprocessing_test.py
imports: import numpy
  import tensorflow
  from mediapipe.model_maker.python.vision.core import image_preprocessing
label_desc: Use image node_id 1 for calling the PreprocessorTest obj's underlying member method code with example usage: obj.test_preprocess_without_augmentation() without return types