code: def smoothing_factor(self, te, fc):
      r = 2 * math.pi * fc * te
      return r / (r + 1)
  
imports: import os
  import json
  import cv2
  import math
  import numpy
  import paddle
  import yaml
  from det_keypoint_unite_utils import argsparser
  from preprocess import decode_image
  from infer import Detector, DetectorPicoDet, PredictConfig, print_arguments, get_test_images, bench_log
  from keypoint_infer import KeyPointDetector, PredictConfig_KeyPoint
  from visualize import visualize_pose
  from benchmark_utils import PaddleInferBenchmark
  from utils import get_current_memory_mb
  from keypoint_postprocess import translate_to_ori_images
label_desc: Use image node_id 6 for calling the KeypointSmoothing obj's underlying member method code with example usage: obj.smoothing_factor(te, fc) and returns: unknown