27 lines
1006 B
Python
27 lines
1006 B
Python
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from abc import ABC, abstractmethod
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from torch.utils.data import DataLoader
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class BaseADDataset(ABC):
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"""Anomaly detection dataset base class."""
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def __init__(self, root: str):
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super().__init__()
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self.root = root # root path to data
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self.n_classes = 2 # 0: normal, 1: outlier
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self.normal_classes = None # tuple with original class labels that define the normal class
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self.outlier_classes = None # tuple with original class labels that define the outlier class
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self.train_set = None # must be of type torch.utils.data.Dataset
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self.test_set = None # must be of type torch.utils.data.Dataset
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@abstractmethod
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def loaders(self, batch_size: int, shuffle_train=True, shuffle_test=False, num_workers: int = 0) -> (
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DataLoader, DataLoader):
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"""Implement data loaders of type torch.utils.data.DataLoader for train_set and test_set."""
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pass
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def __repr__(self):
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return self.__class__.__name__
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