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Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224.

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Ross Wightman 2021-11-02 17:58:14 -07:00
parent b328e56f49
commit ddc29da974
1 changed files with 6 additions and 2 deletions
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8
timm/models/resnet.py
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@ -61,12 +61,16 @@ default_cfgs = {
'resnet50t': _cfg( 'resnet50t': _cfg(
url='', url='',
interpolation='bicubic', first_conv='conv1.0'), interpolation='bicubic', first_conv='conv1.0'),
'resnet101': _cfg(url='', interpolation='bicubic'), 'resnet101': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet101_a1h-36d3f2aa.pth',
interpolation='bicubic', crop_pct=0.95),
'resnet101d': _cfg( 'resnet101d': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet101d_ra2-2803ffab.pth', url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet101d_ra2-2803ffab.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), pool_size=(8, 8), interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), pool_size=(8, 8),
crop_pct=1.0, test_input_size=(3, 320, 320)), crop_pct=1.0, test_input_size=(3, 320, 320)),
'resnet152': _cfg(url='', interpolation='bicubic'), 'resnet152': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet152_a1h-dc400468.pth',
interpolation='bicubic', crop_pct=0.95),
'resnet152d': _cfg( 'resnet152d': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet152d_ra2-5cac0439.pth', url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet152d_ra2-5cac0439.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), pool_size=(8, 8), interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), pool_size=(8, 8),