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35 lines
1.2 KiB
35 lines
1.2 KiB
from models.inception_v4 import inception_v4
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from models.inception_resnet_v2 import inception_resnet_v2
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from models.densenet import densenet161, densenet121, densenet169, densenet201
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from models.resnet import resnet18, resnet34, resnet50, resnet101, resnet152, \
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resnext50_32x4d, resnext101_32x4d, resnext101_64x4d, resnext152_32x4d
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from models.dpn import dpn68, dpn68b, dpn92, dpn98, dpn131, dpn107
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from models.senet import seresnet18, seresnet34, seresnet50, seresnet101, seresnet152, \
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seresnext26_32x4d, seresnext50_32x4d, seresnext101_32x4d
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from models.xception import xception
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from models.pnasnet import pnasnet5large
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from models.helpers import load_checkpoint
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def create_model(
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model_name='resnet50',
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pretrained=None,
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num_classes=1000,
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in_chans=3,
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checkpoint_path='',
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**kwargs):
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margs = dict(num_classes=num_classes, in_chans=in_chans, pretrained=pretrained)
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if model_name in globals():
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create_fn = globals()[model_name]
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model = create_fn(**margs, **kwargs)
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else:
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raise RuntimeError('Unknown model (%s)' % model_name)
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if checkpoint_path and not pretrained:
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load_checkpoint(model, checkpoint_path)
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return model
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