code: def __init__(
      self, base_transforms, weak_aug, strong_aug, num_classes=80
  ):
      self.base_transforms = base_transforms
      self.base_transforms_cls = []
      for t in self.base_transforms:
          for k, v in t.items():
              op_cls = getattr(transform, k)
              f = op_cls(**v)
              if hasattr(f, "num_classes"):
                  f.num_classes = num_classes
              self.base_transforms_cls.append(f)
  
      self.weak_augs = weak_aug
      self.weak_augs_cls = []
      for t in self.weak_augs:
          for k, v in t.items():
              op_cls = getattr(transform, k)
              f = op_cls(**v)
              if hasattr(f, "num_classes"):
                  f.num_classes = num_classes
              self.weak_augs_cls.append(f)
  
      self.strong_augs = strong_aug
      self.strong_augs_cls = []
      for t in self.strong_augs:
          for k, v in t.items():
              op_cls = getattr(transform, k)
              f = op_cls(**v)
              if hasattr(f, "num_classes"):
                  f.num_classes = num_classes
              self.strong_augs_cls.append(f)
  
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 Compose_SSOD object from inherited base classes: object with example: obj = Compose_SSOD(base_transforms, weak_aug, strong_aug, num_classes)