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: PaddleDetection/deploy/serving/python/postprocess_ops.py
imports: import cv2
  import math
  import numpy
  from preprocess_ops 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