def __init__(
self,
keys: KeysCollection,
as_closest_canonical: bool = False,
dtype: Optional[np.dtype] = np.float32,
meta_key_postfix: str = "meta_dict",
overwriting: bool = False,
) -> None:
"""
Args:
keys: keys of the corresponding items to be transformed.
See also: :py:class:`monai.transforms.compose.MapTransform`
as_closest_canonical: if True, load the image as closest to canonical axis format.
dtype: if not None convert the loaded image data to this data type.
meta_key_postfix: use `key_{postfix}` to store the metadata of the nifti image,
default is `meta_dict`. The meta data is a dictionary object.
For example, load nifti file for `image`, store the metadata into `image_meta_dict`.
overwriting: whether allow to overwrite existing meta data of same key.
default is False, which will raise exception if encountering existing key.
Raises:
ValueError: meta_key_postfix must be a string.
"""
loader = LoadNifti(as_closest_canonical, False, dtype)
super().__init__(keys, loader, meta_key_postfix, overwriting)
def __init__(self,
keys,
as_closest_canonical=False,
dtype=np.float32,
meta_key_format="{}.{}",
overwriting_keys=False):
"""
Args:
keys (hashable items): keys of the corresponding items to be transformed.
See also: :py:class:`monai.transforms.compose.MapTransform`
as_closest_canonical (bool): if True, load the image as closest to canonical axis format.
dtype (np.dtype, optional): if not None convert the loaded image to this data type.
meta_key_format (str): key format to store meta data of the nifti image.
it must contain 2 fields for the key of this image and the key of every meta data item.
overwriting_keys (bool): whether allow to overwrite existing keys of meta data.
default is False, which will raise exception if encountering existing key.
"""
super().__init__(keys)
self.loader = LoadNifti(as_closest_canonical, False, dtype)
self.meta_key_format = meta_key_format
self.overwriting_keys = overwriting_keys