Method __init__

monai/transforms/intensity/dictionary.py:741–765

Args: keys: keys of the corresponding items to be transformed. See also: :py:class:`monai.transforms.compose.MapTransform` degree: degree of freedom of the polynomials. The value should be no less than 1. Defaults to 3. coe

(
        self,
        keys: KeysCollection,
        degree: int = 3,
        coeff_range: tuple[float, float] = (0.0, 0.1),
        dtype: DtypeLike = np.float32,
        prob: float = 0.1,
        allow_missing_keys: bool = False,
    )

    backend = RandBiasField.backend

    def __init__(
        self,
        keys: KeysCollection,
        degree: int = 3,
        coeff_range: tuple[float, float] = (0.0, 0.1),
        dtype: DtypeLike = np.float32,
        prob: float = 0.1,
        allow_missing_keys: bool = False,
    ) -> None:
        """
        Args:
            keys: keys of the corresponding items to be transformed.
                See also: :py:class:`monai.transforms.compose.MapTransform`
            degree: degree of freedom of the polynomials. The value should be no less than 1.
                Defaults to 3.
            coeff_range: range of the random coefficients. Defaults to (0.0, 0.1).
            dtype: output data type, if None, same as input image. defaults to float32.
            prob: probability to do random bias field.
            allow_missing_keys: don't raise exception if key is missing.

        """
        MapTransform.__init__(self, keys, allow_missing_keys)
        RandomizableTransform.__init__(self, prob)

        self.rand_bias_field = RandBiasField(degree=degree, coeff_range=coeff_range, dtype=dtype, prob=1.0)

    def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = None) -> RandBiasFieldd:
        super().set_random_state(seed, state)