code: def __init__(self, class_augmentations):
      super(DefaultTargetTransform, self).__init__()
      self.class_augmentations = class_augmentations
  
      self._augmentations = dict(
          (augmentation, i + 1)
          for (i, augmentation) in enumerate(class_augmentations)
      )
      self._augmentations[None] = 0
  
file_path: pytorch-meta/torchmeta/transforms/target_transforms.py
imports: from torchvision.transforms import Compose, Resize, ToTensor
  import PIL
label_desc: Use image node_id 1 to create a new DefaultTargetTransform object from inherited base classes: TargetTransform with example: obj = DefaultTargetTransform(class_augmentations)