docstr: Run as a service.
docstr_tok: ["Run","as","a","service","."]
code: def serving_method(self, images, **kwargs):
      """
      Run as a service.
      """
      images_decode = copy.deepcopy(images)
      for image in images_decode:
          image["content"] = base64_to_cv2(image["content"])
          image["styles"] = [
              base64_to_cv2(style) for style in image["styles"]
          ]
      results = self.style_transfer(images_decode, **kwargs)
      results = [
          {"data": cv2_to_base64(result["data"])} for result in results
      ]
      return results
  
imports: from __future__ import absolute_import
  from __future__ import division
  import argparse
  import ast
  import copy
  import os
  import time
  import numpy
  import paddle
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from stylepro_artistic.data_feed import reader
  from stylepro_artistic.processor import base64_to_cv2
  from stylepro_artistic.processor import cv2_to_base64
  from stylepro_artistic.processor import fr
  from stylepro_artistic.processor import postprocess
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 7 for calling the StyleProjection obj's underlying member method code with example usage: obj.serving_method(images) and returns: results