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Configuration error
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# Copyright 2024 NVIDIA CORPORATION & AFFILIATES
#
# 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.
#
# SPDX-License-Identifier: Apache-2.0
import torchvision.transforms as T
TRANSFORMS = dict()
def register_transform(transform):
name = transform.__name__
if name in TRANSFORMS:
raise RuntimeError(f"Transform {name} has already registered.")
TRANSFORMS.update({name: transform})
def get_transform(type, resolution):
transform = TRANSFORMS[type](resolution)
transform = T.Compose(transform)
transform.image_size = resolution
return transform
@register_transform
def default_train(n_px):
transform = [
T.Lambda(lambda img: img.convert("RGB")),
T.Resize(n_px), # Image.BICUBIC
T.CenterCrop(n_px),
# T.RandomHorizontalFlip(),
T.ToTensor(),
T.Normalize([0.5], [0.5]),
]
return transform
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