wehub-resource-sync
57 lines
1.9 KiB
Python
57 lines
1.9 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 .bucket_resize import BucketResize
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def NaResize(
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resolution: int,
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mode: Literal["area", "square", "bucket"],
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downsample_only: bool,
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interpolation: InterpolationMode = InterpolationMode.BICUBIC,
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**kwargs,
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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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elif 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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elif mode == "bucket":
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aspect_ratios = kwargs.get("aspect_ratios", ["21:9", "16:9", "4:3", "1:1", "3:4", "9:16"])
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stride = kwargs.get("stride", 16)
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return Compose(
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[
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BucketResize(
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max_area=resolution**2,
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interpolation=interpolation,
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aspect_ratios=aspect_ratios,
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stride=stride,
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)
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]
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)
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raise ValueError(f"Unknown resize mode: {mode}")
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