code: def __init__(
      self,
      frequent,
      rank,
      val_targets,
      rec_prefix,
      image_size=(112, 112),
  ):
      self.frequent: int = frequent
      self.rank: int = rank
      self.highest_acc: float = 0.0
      self.highest_acc_list: List[float] = [0.0] * len(val_targets)
      self.ver_list: List[object] = []
      self.ver_name_list: List[str] = []
      if self.rank is 0:
          self.init_dataset(
              val_targets=val_targets,
              data_dir=rec_prefix,
              image_size=image_size,
          )
  
imports: import logging
  import os
  import time
  from typing import List
  import torch
  import psutil
  from utils.utils_logging import AverageMeter
label_desc: Use image node_id 1 to create a new CallBackVerification object from inherited base classes: object with example: obj = CallBackVerification(frequent, rank, val_targets, rec_prefix, image_size)