class_docstr: BodyposeModel
  
  Args:
      load_checkpoint(str): Checkpoint save path, default is None.
class_docstr_tok: ["BodyposeModel","Args",":","load_checkpoint","(","str",")",":","Checkpoint","save","path",",","default","is","None","."]
code: def transform(self, orgimg: np.ndarray, scale_search: float = 0.5):
      process = self.resize_func(orgimg, scale_search)
      imageToTest_padded, pad = self.pad_func(process)
      process = self.norm_func(imageToTest_padded)
      process = np.ascontiguousarray(
          np.transpose(process[:, :, :, np.newaxis], (3, 2, 0, 1))
      ).astype("float32")
  
      return process, imageToTest_padded, pad
  
imports: import os
  import time
  import copy
  import argparse
  from typing import Union
  from collections import OrderedDict
  import cv2
  import paddle
  import paddle.nn
  import numpy
  from paddlehub.module.module import moduleinfo, runnable, serving
  import paddlehub.vision.transforms
  from .None import processor
label_desc: Use image node_id 3 for calling the BodyPoseModel obj's underlying member method code with example usage: obj.transform(orgimg, scale_search) and returns: process,  imageToTest_padded,  pad