|
|
|
@ -105,14 +105,15 @@ default_cfgs = {
|
|
|
|
|
input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0, interpolation='bicubic'),
|
|
|
|
|
|
|
|
|
|
'resnetv2_50': _cfg(
|
|
|
|
|
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnetv2_50_a1_h-000cdf49.pth',
|
|
|
|
|
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnetv2_50_a1h-000cdf49.pth',
|
|
|
|
|
interpolation='bicubic', crop_pct=0.95),
|
|
|
|
|
'resnetv2_50d': _cfg(
|
|
|
|
|
interpolation='bicubic', first_conv='stem.conv1'),
|
|
|
|
|
'resnetv2_50t': _cfg(
|
|
|
|
|
interpolation='bicubic', first_conv='stem.conv1'),
|
|
|
|
|
'resnetv2_101': _cfg(
|
|
|
|
|
interpolation='bicubic'),
|
|
|
|
|
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnetv2_101_a1h-5d01f016.pth',
|
|
|
|
|
interpolation='bicubic', crop_pct=0.95),
|
|
|
|
|
'resnetv2_101d': _cfg(
|
|
|
|
|
interpolation='bicubic', first_conv='stem.conv1'),
|
|
|
|
|
'resnetv2_152': _cfg(
|
|
|
|
|