Bases: pydantic.BaseModel
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class Config[source]
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arbitrary_types_allowed = True[source]
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underscore_attrs_are_private = True[source]
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peek_dataset()[source]
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anomaly_composition[source]
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anomaly_size: int | None = None[source]
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batch_size = 8[source]
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color_dict[source]
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create_artificial_anomalies = True[source]
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crop_to_aspect_ratio = False[source]
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drop_masks = False[source]
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property ds[source]
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folders_have_subfolders = False[source]
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global_transform: albumentations.Compose = None[source]
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height = 256[source]
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image_directory[source]
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mask_directory: pathlib.Path | None = None[source]
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property num_classes[source]
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property num_files[source]
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pairing_mode: Literal['result_only', 'result_with_original', 'result_with_contrastive_pair'] = 'result_only'[source]
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peek = True[source]
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process_deviation: albumentations.Compose = None[source]
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repeat = True[source]
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seed = 123[source]
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shuffle = True[source]
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subset: None | Literal['training', 'validation', 'both'] = 'training'[source]
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validation_split = 0.2[source]
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width = 256[source]
