# Copyright 2021 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Any, Dict, Optional, Union
from numpy.typing import _ArrayLike # type: ignore
ArrayLike: Any = _ArrayLike
ArrayLike = Any
from .domain import Domain
Domain (_type_): _description_
[docs] def __init__(self, data: Union[ArrayLike], metadata: Optional[Dict] = None):
"""This class encapsulates array-lile object along with its associated metadata dictionary.
It is designed to represent an image object, without constraining the specific format of its data. Derived
classes should be created for more specific type of images.
The default implementation assumes the internal data object is a ndarray, and the metadata dictionary
is expected to hold the key attributes associated with the original image, e.g., for image converted
from DICOM instances, the pixel spacings, image orientation patient, etc.
data (Union[ArrayLike]): Numpy Array object.
metadata (Optional[Dict], optional): A dictionary of the object's metadata. Defaults to None.
self._data = data
def asnumpy(self) -> ArrayLike: