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Mobile resnest #29

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b12be0b
mobile resnest
Jerryzcn Apr 23, 2020
428eef6
Merge branch 'master' into mobile_resnest
Jerryzcn Apr 23, 2020
12a3803
fix bug
Jerryzcn Apr 23, 2020
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27 changes: 26 additions & 1 deletion resnest/gluon/resnest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,12 +7,37 @@
##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
"""ResNeSt implemented in Gluon."""

__all__ = ['resnest50', 'resnest101',
__all__ = ['resnest14', 'resnest26',
'resnest50', 'resnest101',
'resnest200', 'resnest269']

from .resnet import ResNet, Bottleneck
from mxnet import cpu

def resnest14(pretrained=False, root='~/.mxnet/models', ctx=cpu(0), **kwargs):
model = ResNet(Bottleneck, [1, 1, 1, 1],
radix=2, cardinality=1, bottleneck_width=64,
deep_stem=True, avg_down=True,
avd=True, avd_first=False,
use_splat=True, dropblock_prob=0.0,
name_prefix='resnest_', **kwargs)
if pretrained:
from .model_store import get_model_file
model.load_parameters(get_model_file('resnest14', root=root), ctx=ctx)
return model

def resnest26(pretrained=False, root='~/.mxnet/models', ctx=cpu(0), **kwargs):
model = ResNet(Bottleneck, [2, 2, 2, 2],
radix=2, cardinality=1, bottleneck_width=64,
deep_stem=True, avg_down=True,
avd=True, avd_first=False,
use_splat=True, dropblock_prob=0.1,
name_prefix='resnest_', **kwargs)
if pretrained:
from .model_store import get_model_file
model.load_parameters(get_model_file('resnest26', root=root), ctx=ctx)
return model

def resnest50(pretrained=False, root='~/.mxnet/models', ctx=cpu(0), **kwargs):
model = ResNet(Bottleneck, [3, 4, 6, 3],
radix=2, cardinality=1, bottleneck_width=64,
Expand Down
22 changes: 21 additions & 1 deletion resnest/torch/resnest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@
import torch
from .resnet import ResNet, Bottleneck

__all__ = ['resnest50', 'resnest101', 'resnest200', 'resnest269']
__all__ = ['resnest14', 'resnest26', 'resnest50', 'resnest101', 'resnest200', 'resnest269']

_url_format = 'https://hangzh.s3.amazonaws.com/encoding/models/{}-{}.pth'

Expand All @@ -30,6 +30,26 @@ def short_hash(name):
name in _model_sha256.keys()
}

def resnest14(pretrained=False, root='~/.encoding/models', **kwargs):
model = ResNet(Bottleneck, [1, 1, 1, 1],
radix=2, groups=1, bottleneck_width=64,
deep_stem=True, stem_width=32, avg_down=True,
avd=True, avd_first=False, **kwargs)
if pretrained:
model.load_state_dict(torch.hub.load_state_dict_from_url(
resnest_model_urls['resnest14'], progress=True, check_hash=True))
return model

def resnest26(pretrained=False, root='~/.encoding/models', **kwargs):
model = ResNet(Bottleneck, [2, 2, 2, 2],
radix=2, groups=1, bottleneck_width=64,
deep_stem=True, stem_width=32, avg_down=True,
avd=True, avd_first=False, **kwargs)
if pretrained:
model.load_state_dict(torch.hub.load_state_dict_from_url(
resnest_model_urls['resnest26'], progress=True, check_hash=True))
return model

def resnest50(pretrained=False, root='~/.encoding/models', **kwargs):
model = ResNet(Bottleneck, [3, 4, 6, 3],
radix=2, groups=1, bottleneck_width=64,
Expand Down