code: def __init__(self, transforms, num_classes=80, collate_batch=True):
      super(BatchCompose_SSOD, self).__init__(transforms, num_classes)
      self.collate_batch = collate_batch
  
imports: import copy
  import os
  import traceback
  import six
  import sys
  import numpy
  import paddle
  import paddle.nn.functional
  from copy import deepcopy
  from paddle.io import DataLoader, DistributedBatchSampler
  from .utils import default_collate_fn
  from ppdet.core.workspace import register
  from .None import transform
  from .shm_utils import _get_shared_memory_size_in_M
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 to create a new BatchCompose_SSOD object from inherited base classes: Compose with example: obj = BatchCompose_SSOD(transforms, num_classes, collate_batch)