docstr: Tests the integrity of the return values of random_resize
  
  This tests the case when bboxes is None.
docstr_tok: ["Tests","the","integrity","of","the","return","values","of","random_resize","This","tests","the","case","when","bboxes","is","None","."]
code: def testRandomResizeOnlyImage(self):
      """Tests the integrity of the return values of random_resize
  
      This tests the case when bboxes is None.
      """
      im_shape = (600, 800, 3)
      image = self._gen_image(*im_shape)
      config = self._random_resize_config
      ret_image, ret_bboxes = self._random_resize(image, config)
      # Assertions
      self.assertEqual(ret_bboxes, None)
      self.assertTrue(
          np.all(np.asarray(ret_image.shape[:2]) >= config.min_size)
      )
      self.assertTrue(
          np.all(np.asarray(ret_image.shape[:2]) <= config.max_size)
      )
  
imports: import numpy
  import tensorflow
  from easydict import EasyDict
  from luminoth.utils.image import resize_image, flip_image, random_patch, random_resize, random_distortion, patch_image
  from luminoth.utils.test.gt_boxes import generate_gt_boxes
label_desc: Use image node_id 19 for calling the ImageTest obj's underlying member method code with example usage: obj.testRandomResizeOnlyImage() without return types