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# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import NamedTuple, Union
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from towhee.operator import Operator
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class TransformImageOperatorTemplate(Operator):
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"""
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Transform an image (resize, crop, normalize, etc...)
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Args:
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size (`int`):
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Image size to use. A resize to `size x size` followed by center crop and
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image normalization will be done.
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"""
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def __init__(self, size: int) -> None:
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super().__init__()
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#user defined initialization
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def __call__(self, img_path: Union[Image.Image, torch.Tensor, str]) -> NamedTuple('Outputs', [('img_transformed', torch.Tensor)]):
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results = #user defined function: get the transformed image
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Outputs = NamedTuple('Outputs', [('img_transformed', torch.Tensor)])
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return Outputs(results)
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