def resnet101(pretrained_model=None, **kwargs):
model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
if pretrained_model is not None:
model = load_model(model, pretrained_model)
return model
def xception39(pretrained_model=None, **kwargs):
model = Xception(Block, [4, 8, 4], [16, 32, 64], **kwargs)
if pretrained_model is not None:
model = load_model(model, pretrained_model)
return model
def resnet34(pretrained_model=None, **kwargs):
model = ResNet(BasicBlock, [3, 4, 6, 3], **kwargs)
if pretrained_model is not None:
model = load_model(model, pretrained_model)
return model