def __init__(self, keys: KeysCollection, dtype: np.dtype = np.float32):
"""
Args:
keys: keys of the corresponding items to be transformed.
See also: :py:class:`monai.transforms.compose.MapTransform`
dtype (np.dtype): convert image to this data type, default is `np.float32`.
"""
MapTransform.__init__(self, keys)
self.converter = CastToType(dtype)
def __init__(self, keys: KeysCollection, dtype: np.dtype = np.float32):
"""
Args:
keys: keys of the corresponding items to be transformed.
See also: :py:class:`monai.transforms.compose.MapTransform`
dtype (np.dtype): convert image to this data type, default is `np.float32`.
it also can be a sequence of np.dtype, each element corresponds to a key in ``keys``.
"""
MapTransform.__init__(self, keys)
self.dtype = ensure_tuple_rep(dtype, len(self.keys))
self.converter = CastToType()
def __init__(
self,
keys: KeysCollection,
dtype: Union[Sequence[Union[DtypeLike, torch.dtype]], DtypeLike, torch.dtype] = np.float32,
allow_missing_keys: bool = False,
) -> None:
"""
Args:
keys: keys of the corresponding items to be transformed.
See also: :py:class:`monai.transforms.compose.MapTransform`
dtype: convert image to this data type, default is `np.float32`.
it also can be a sequence of dtypes or torch.dtype,
each element corresponds to a key in ``keys``.
allow_missing_keys: don't raise exception if key is missing.
"""
MapTransform.__init__(self, keys, allow_missing_keys)
self.dtype = ensure_tuple_rep(dtype, len(self.keys))
self.converter = CastToType()
