# Copyright 2021 Zilliz. All rights reserved.
#
# 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
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# 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 NamedTuple, Union
from towhee.operator import Operator


class TransformImageOperatorTemplate(Operator):
    """
    Transform an image (resize, crop, normalize, etc...)

    Args:
        size (`int`):
            Image size to use. A resize to `size x size` followed by center crop and
            image normalization will be done.
    """
    def __init__(self, size: int) -> None:
        super().__init__()
        #user defined initialization

    def __call__(self, img_path: Union[Image.Image, torch.Tensor, str]) -> NamedTuple('Outputs', [('img_transformed', torch.Tensor)]):
        results =  #user defined function: get the transformed image
        Outputs = NamedTuple('Outputs', [('img_transformed', torch.Tensor)])
        return Outputs(results)