Pretrained weights for lucid.models.mobilenet_cls.
Single ImageNet-1k checkpoint converted from timm's
mobilenetv1_100.ra4_e3600_r224_in1k (Howard et al., 2017;
~4.2M params, 75.4% top-1 at 224x224 under timm's RA4 recipe).
Examples
>>> from lucid.models.vision.mobilenet._weights import MobileNetWeights
>>> list(MobileNetWeights.__members__)
['RA4_E3600_R224_IN1K', 'DEFAULT']
DEFAULT is an alias rather than a fourth entry, so a bare
pretrained=True and the tag it resolves to cannot drift apart.
>>> MobileNetWeights.DEFAULT is MobileNetWeights.RA4_E3600_R224_IN1K
True
>>> MobileNetWeights.RA4_E3600_R224_IN1K.num_classes
1000