code: def __init__(self, output_eval, save_prediction_only=False):
      super(Pose3DEval, self).__init__()
      self.output_eval = output_eval
      self.res_file = os.path.join(output_eval, "pose3d_results.json")
      self.save_prediction_only = save_prediction_only
      self.reset()
  
imports: import paddle
  from paddle.distributed import ParallelEnv
  import os
  import json
  from collections import defaultdict, OrderedDict
  import numpy
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 to create a new Pose3DEval object from inherited base classes: object with example: obj = Pose3DEval(output_eval, save_prediction_only)