Function resnet101

models/resnet.py:196–205

Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

(pretrained=False, **kwargs)

def resnet101(pretrained=False, **kwargs):
    """Constructs a ResNet-101 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
    """
    model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
    if pretrained:
        model.load_state_dict(load_url(model_urls['resnet101']), strict=False)
    return model

# def resnet152(pretrained=False, **kwargs):
#     """Constructs a ResNet-152 model.