127 lines
2.5 KiB
Python
127 lines
2.5 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. 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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import paddle # noqa: F401
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from paddle import nn # noqa: F401
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from . import ( # noqa: F401
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datasets,
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models,
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ops,
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transforms,
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)
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from .datasets import ( # noqa: F401
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MNIST,
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VOC2012,
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Cifar10,
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Cifar100,
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DatasetFolder,
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FashionMNIST,
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Flowers,
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ImageFolder,
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)
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from .image import (
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get_image_backend,
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image_load,
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set_image_backend,
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)
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from .models import ( # noqa: F401
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VGG,
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AlexNet,
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DenseNet,
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GoogLeNet,
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InceptionV3,
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LeNet,
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MobileNetV1,
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MobileNetV2,
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MobileNetV3Large,
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MobileNetV3Small,
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ResNet,
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ShuffleNetV2,
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SqueezeNet,
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alexnet,
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densenet121,
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densenet161,
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densenet169,
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densenet201,
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densenet264,
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googlenet,
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inception_v3,
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mobilenet_v1,
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mobilenet_v2,
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mobilenet_v3_large,
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mobilenet_v3_small,
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resnet18,
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resnet34,
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resnet50,
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resnet101,
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resnet152,
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resnext50_32x4d,
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resnext50_64x4d,
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resnext101_32x4d,
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resnext101_64x4d,
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resnext152_32x4d,
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resnext152_64x4d,
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shufflenet_v2_swish,
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shufflenet_v2_x0_5,
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shufflenet_v2_x0_25,
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shufflenet_v2_x0_33,
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shufflenet_v2_x1_0,
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shufflenet_v2_x1_5,
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shufflenet_v2_x2_0,
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squeezenet1_0,
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squeezenet1_1,
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vgg11,
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vgg13,
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vgg16,
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vgg19,
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wide_resnet50_2,
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wide_resnet101_2,
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)
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from .transforms import ( # noqa: F401
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BaseTransform,
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BrightnessTransform,
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CenterCrop,
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ColorJitter,
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Compose,
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ContrastTransform,
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Grayscale,
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HueTransform,
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Normalize,
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Pad,
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RandomCrop,
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RandomHorizontalFlip,
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RandomResizedCrop,
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RandomRotation,
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RandomVerticalFlip,
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Resize,
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SaturationTransform,
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ToTensor,
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Transpose,
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adjust_brightness,
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adjust_contrast,
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adjust_hue,
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center_crop,
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crop,
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hflip,
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normalize,
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pad,
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resize,
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rotate,
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to_grayscale,
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to_tensor,
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vflip,
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)
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__all__ = ['set_image_backend', 'get_image_backend', 'image_load']
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