code: def __init__(self):
      self.pretrained_model = os.path.join(
          self.directory, "pd_model/model.pdparams"
      )
      self.network = PRN(is_dlib=True, prefix=self.directory)
  
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 .api import PRN
  from .predictor import PosPrediction
  from .util import base64_to_cv2
  from .utils.render import render_texture
  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 PRNet object  with example: obj = PRNet()