code: def __init__(self):
      self.config = get_config(
          os.path.join(self.directory, "LeViT_256.yaml"), show=False
      )
      self.label_path = os.path.join(
          self.directory, "imagenet1k_label_list.txt"
      )
      self.pretrain_path = os.path.join(
          self.directory, "LeViT_256_pretrained.pdparams"
      )
      self.config["Infer"]["PostProcess"][
          "class_id_map_file"
      ] = self.label_path
      self.model = LeViT_256()
      param_state_dict = paddle.load(self.pretrain_path)
      self.model.set_dict(param_state_dict)
      self.preprocess_funcs = create_operators(
          self.config["Infer"]["transforms"]
      )
  
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_256
  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 1 to create a new LeViT_256_ImageNet object  with example: obj = LeViT_256_ImageNet()