code: def __call__(self, output, center, scale):
      preds, maxvals = self.get_final_preds(output, center, scale)
      return np.concatenate((preds, maxvals), axis=-1), np.mean(
          maxvals, axis=1
      )
  
file_path: PaddleHub/modules/image/keypoint_detection/pp-tinypose/keypoint_postprocess.py
imports: import math
  import cv2
  import numpy
  from .keypoint_preprocess import get_affine_transform
label_desc: Use image node_id 8 for calling the HRNetPostProcess obj's underlying member method code with example usage: obj.__call__(output, center, scale) and returns: np,  np