docstr: Run as a service.
docstr_tok: ["Run","as","a","service","."]
code: def serving_method(self, images, **kwargs):
      """
      Run as a service.
      """
      images_decode = [base64_to_cv2(image) for image in images]
      results = self.classification(images=images_decode, **kwargs)
      return results
  
imports: import argparse
  import copy
  import os
  import cv2
  import numpy
  import paddle
  from skimage.io import imread
  from skimage.transform import rescale
  from skimage.transform import resize
  import paddlehub
  from .model import LeViT_192
  from .processor import base64_to_cv2
  from .processor import create_operators
  from .processor import Topk
  from .utils import get_config
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 4 for calling the LeViT_192_ImageNet obj's underlying member method code with example usage: obj.serving_method(images) and returns: results