Pretrained weights for lucid.models.densenet_169_cls.
169-layer DenseNet (growth-rate 32, 14.1 M params, top-1 75.60%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 75.600% / top-5 92.806%),
sourced from
torchvision/DenseNet169_Weights.IMAGENET1K_V1.DEFAULTWeightEntryAlias for
IMAGENET1K_V1.Notes
Reference: Huang, Liu, van der Maaten, Weinberger, "Densely Connected Convolutional Networks", CVPR 2017 (arXiv:1608.06993).
Examples
>>> from lucid.models import densenet_169_cls
>>> model = densenet_169_cls(pretrained=True).eval()