code: def __init__(self, config, mode, logger, seed=None):
      super(MultiScaleDataSet, self).__init__(
          config, mode, logger, seed
      )
      self.ds_width = config[mode]["dataset"].get("ds_width", False)
      if self.ds_width:
          self.wh_aware()
  
imports: import numpy
  import cv2
  import math
  import os
  import json
  import random
  import traceback
  from paddle.io import Dataset
  from .imaug import transform, create_operators
label_desc: Use image node_id 1 to create a new MultiScaleDataSet object from inherited base classes: SimpleDataSet with example: obj = MultiScaleDataSet(config, mode, logger, seed)