code: def _get_images(self, count=16, color_mode="rgb"):
      width = height = 24
      imgs = []
      for _ in range(count):
          if color_mode == "grayscale":
              img = np.random.randint(0, 256, size=(height, width, 1))
          elif color_mode == "rgba":
              img = np.random.randint(0, 256, size=(height, width, 4))
          else:
              img = np.random.randint(0, 256, size=(height, width, 3))
          if backend.config.image_data_format() == "channels_first":
              img = np.transpose(img, (2, 0, 1))
          img = image_utils.array_to_img(img)
          imgs.append(img)
      return imgs
  
imports: import os
  import numpy
  from keras import backend
  from keras import testing
  from keras.utils import image_dataset_utils
  from keras.utils import image_utils
  from keras.utils.module_utils import tensorflow
label_desc: Use image node_id 1 for calling the ImageDatasetFromDirectoryTest obj's underlying member method code with example usage: obj._get_images(count, color_mode) and returns: imgs