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https://github.com/open-mmlab/mmclassification.git
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77a3834531
* Add Res2Net from mmdet, and change it to mmcls style. * Align structure with official repo * Support `deep_stem` and `avg_down` option * Add Res2Net configs * Add metafile&README and update model zoo * Add unit tests * Imporve docstring. * Improve according to comments.
29 lines
1019 B
Python
29 lines
1019 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .alexnet import AlexNet
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from .lenet import LeNet5
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from .mobilenet_v2 import MobileNetV2
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from .mobilenet_v3 import MobileNetV3
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from .regnet import RegNet
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from .repvgg import RepVGG
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from .res2net import Res2Net
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from .resnest import ResNeSt
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from .resnet import ResNet, ResNetV1d
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from .resnet_cifar import ResNet_CIFAR
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from .resnext import ResNeXt
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from .seresnet import SEResNet
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from .seresnext import SEResNeXt
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from .shufflenet_v1 import ShuffleNetV1
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from .shufflenet_v2 import ShuffleNetV2
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from .swin_transformer import SwinTransformer
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from .timm_backbone import TIMMBackbone
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from .tnt import TNT
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from .vgg import VGG
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from .vision_transformer import VisionTransformer
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__all__ = [
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'LeNet5', 'AlexNet', 'VGG', 'RegNet', 'ResNet', 'ResNeXt', 'ResNetV1d',
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'ResNeSt', 'ResNet_CIFAR', 'SEResNet', 'SEResNeXt', 'ShuffleNetV1',
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'ShuffleNetV2', 'MobileNetV2', 'MobileNetV3', 'VisionTransformer',
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'SwinTransformer', 'TNT', 'TIMMBackbone', 'Res2Net', 'RepVGG'
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]
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