clinicadl.transforms.config.RescaleIntensityConfig¶

clinicadl.transforms.config.RescaleIntensityConfig[source]¶

Config class for torchio.transforms.RescaleIntensity.

A function for masking_method is not supported currently.

The keys of the input DataPoint on which the transforms will be applied can be specified via include (only these keys will be transformed) or exclude (all the keys except these ones will be transformed).

copy argument determines if the raw input DataPoint will be returned (False), or a copy (True).

parameter out_min_max: Union[NonNegativeFloat, Tuple[float, float]] = (0, 1)¶

parameter percentiles: Union[NonNegativeFloat, Tuple[NonNegativeFloat, NonNegativeFloat]] = (0, 100)¶

parameter masking_method: Union[str, AnatomicalLabel, NonNegativeInt, Tuple[NonNegativeInt, NonNegativeInt, NonNegativeInt], Tuple[NonNegativeInt, NonNegativeInt, NonNegativeInt, NonNegativeInt, NonNegativeInt, NonNegativeInt], None] = None¶

parameter in_min_max: Union[NonNegativeFloat, Tuple[float, float], None] = None¶

parameter include: Optional[Sequence[str]] = None¶

parameter exclude: Optional[Sequence[str]] = None¶

parameter copy_: bool = False (alias 'copy')¶