code: def parse_mot_res(input):
      mot_res = []
      boxes, scores, ids = input[0]
      for box, score, i in zip(boxes[0], scores[0], ids[0]):
          xmin, ymin, w, h = box
          res = [i, 0, score, xmin, ymin, xmin + w, ymin + h]
          mot_res.append(res)
      return {"boxes": np.array(mot_res)}
  
imports: import time
  import os
  import ast
  import glob
  import yaml
  import copy
  import numpy
  import subprocess
  from python.keypoint_preprocess import EvalAffine, TopDownEvalAffine, expand_crop
label_desc: Use image node_id 5 for calling a global function with example usage: parse_mot_res(input) and returns: dict