Pretrained weights for lucid.models.mobilenet_v2_cls.
Ships a single ImageNet-1k checkpoint (IMAGENET1K_V1) —
the V1 weights distributed by the reference-framework model zoo,
re-hosted under huggingface.co/lucid-dl/mobilenet-v2 with the
official acc@1=71.878 / acc@5=90.286 validation metrics.
Examples
>>> from lucid.models.vision.mobilenet_v2._weights import MobileNetV2Weights
>>> list(MobileNetV2Weights.__members__)
['IMAGENET1K_V1', 'DEFAULT']
DEFAULT is an alias rather than a fourth entry, so a bare
pretrained=True and the tag it resolves to cannot drift apart.
>>> MobileNetV2Weights.DEFAULT is MobileNetV2Weights.IMAGENET1K_V1
True
>>> MobileNetV2Weights.IMAGENET1K_V1.num_classes
1000