51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# // Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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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 Literal
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from torchvision.transforms import CenterCrop, Compose, InterpolationMode, Resize
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from .area_resize import AreaResize
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from .side_resize import SideResize
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def NaResize(
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resolution: int,
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mode: Literal["area", "side"],
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downsample_only: bool,
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interpolation: InterpolationMode = InterpolationMode.BICUBIC,
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):
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if mode == "area":
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return AreaResize(
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max_area=resolution**2,
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downsample_only=downsample_only,
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interpolation=interpolation,
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)
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if mode == "side":
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return SideResize(
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size=resolution,
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downsample_only=downsample_only,
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interpolation=interpolation,
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)
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if mode == "square":
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return Compose(
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[
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Resize(
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size=resolution,
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interpolation=interpolation,
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),
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CenterCrop(resolution),
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]
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)
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raise ValueError(f"Unknown resize mode: {mode}")
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