61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
from __future__ import absolute_import
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from .resnet import *
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from .resnetmid import *
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from .resnext import *
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from .senet import *
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from .densenet import *
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from .mudeep import *
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from .hacnn import *
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from .mobilenetv2 import *
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from .shufflenet import *
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from .squeezenet import *
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"""
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from .resnext import *
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from .densenet import *
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from .mudeep import *
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from .hacnn import *
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from .squeeze import *
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from .xception import *
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from .inceptionv4 import *
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from .nasnet import *
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from .inceptionresnetv2 import *
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"""
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__model_factory = {
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'resnet50': resnet50,
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'resnet50_fc512': resnet50_fc512,
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'resnet50mid': resnet50mid,
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'resnext50_32x4d': resnext50_32x4d,
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'resnext101_32x4d': resnext101_32x4d,
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'se_resnet50': se_resnet50,
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'se_resnet50_fc512': se_resnet50_fc512,
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'se_resnet101': se_resnet101,
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'se_resnext50_32x4d': se_resnext50_32x4d,
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'se_resnext101_32x4d': se_resnext101_32x4d,
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'densenet121': densenet121,
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'densenet121_fc512': densenet121_fc512,
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#'squeezenet': SqueezeNet, # https://github.com/pytorch/vision/blob/master/torchvision/models/squeezenet.py
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'mobilenetv2': MobileNetV2,
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'shufflenet': ShuffleNet,
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'squeezenet1_0': squeezenet1_0,
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'squeezenet1_1': squeezenet1_1,
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#'xception': Xception,
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#'inceptionv4': InceptionV4,
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#'nasnsetmobile': NASNetAMobile,
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#'inceptionresnetv2': InceptionResNetV2,
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'mudeep': MuDeep,
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'hacnn': HACNN,
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}
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def get_names():
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return list(__model_factory.keys())
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def init_model(name, *args, **kwargs):
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if name not in list(__model_factory.keys()):
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raise KeyError("Unknown model: {}".format(name))
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return __model_factory[name](*args, **kwargs) |