mirrors/pytorch-image-models
1
0
Fork 0
mirror of https://github.com/huggingface/pytorch-image-models.git synced 2025-06-03 15:01:08 +08:00
Code Issues Projects Releases Wiki Activity

Add weights for resnet10t, resnet14t, and resnetaa50 models. Fix #1314

Browse Source
This commit is contained in:
Ross Wightman 2022-07-02 15:18:06 -07:00
parent 188c194b0f
commit c170ba3173
1 changed files with 22 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
timm/models/resnet.py
View File

@ -35,6 +35,16 @@ def _cfg(url='', **kwargs):
default_cfgs = { default_cfgs = {
# ResNet and Wide ResNet # ResNet and Wide ResNet
'resnet10t': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet10t_176_c3-f3215ab1.pth',
input_size=(3, 176, 176), pool_size=(6, 6),
test_crop_pct=0.95, test_input_size=(3, 224, 224),
first_conv='conv1.0'),
'resnet14t': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet14t_176_c3-c4ed2c37.pth',
input_size=(3, 176, 176), pool_size=(6, 6),
test_crop_pct=0.95, test_input_size=(3, 224, 224),
first_conv='conv1.0'),
'resnet18': _cfg(url='https://download.pytorch.org/models/resnet18-5c106cde.pth'), 'resnet18': _cfg(url='https://download.pytorch.org/models/resnet18-5c106cde.pth'),
'resnet18d': _cfg( 'resnet18d': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet18d_ra2-48a79e06.pth', url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet18d_ra2-48a79e06.pth',
@ -262,6 +272,10 @@ default_cfgs = {
'resnetblur101d': _cfg( 'resnetblur101d': _cfg(
url='', url='',
interpolation='bicubic', first_conv='conv1.0'), interpolation='bicubic', first_conv='conv1.0'),
'resnetaa50': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnetaa50_a1h-4cf422b3.pth',
test_input_size=(3, 288, 288), test_crop_pct=1.0,
interpolation='bicubic', first_conv='conv1.0'),
'resnetaa50d': _cfg( 'resnetaa50d': _cfg(
url='', url='',
interpolation='bicubic', first_conv='conv1.0'), interpolation='bicubic', first_conv='conv1.0'),
@ -1454,6 +1468,14 @@ def resnetblur101d(pretrained=False, **kwargs):
return _create_resnet('resnetblur101d', pretrained, **model_args) return _create_resnet('resnetblur101d', pretrained, **model_args)
@register_model
def resnetaa50(pretrained=False, **kwargs):
"""Constructs a ResNet-50 model with avgpool anti-aliasing
"""
model_args = dict(block=Bottleneck, layers=[3, 4, 6, 3], aa_layer=nn.AvgPool2d, **kwargs)
return _create_resnet('resnetaa50', pretrained, **model_args)
@register_model @register_model
def resnetaa50d(pretrained=False, **kwargs): def resnetaa50d(pretrained=False, **kwargs):
"""Constructs a ResNet-50-D model with avgpool anti-aliasing """Constructs a ResNet-50-D model with avgpool anti-aliasing