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05996d63
编写于
8月 28, 2020
作者:
M
michaelowenliu
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add dim_reduction to PPModule
上级
c619f4ee
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1
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1 changed file
with
4 addition
and
4 deletion
+4
-4
dygraph/models/pspnet.py
dygraph/models/pspnet.py
+4
-4
未找到文件。
dygraph/models/pspnet.py
浏览文件 @
05996d63
...
@@ -209,23 +209,23 @@ class PPModule(fluid.dygraph.Layer):
...
@@ -209,23 +209,23 @@ class PPModule(fluid.dygraph.Layer):
@
manager
.
MODELS
.
add_component
@
manager
.
MODELS
.
add_component
def
pspnet_resnet101_vd
(
*
args
,
**
kwargs
):
def
pspnet_resnet101_vd
(
*
args
,
**
kwargs
):
pretrained_model
=
"/mnt/liuyi22/PaddlePaddle/PaddleClas/pretrained/resnet101_vd_ssld_imagenet"
pretrained_model
=
None
return
PSPNet
(
backbone
=
'ResNet101_vd'
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
return
PSPNet
(
backbone
=
'ResNet101_vd'
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
@
manager
.
MODELS
.
add_component
@
manager
.
MODELS
.
add_component
def
pspnet_resnet101_vd_os8
(
*
args
,
**
kwargs
):
def
pspnet_resnet101_vd_os8
(
*
args
,
**
kwargs
):
pretrained_model
=
"/mnt/liuyi22/PaddlePaddle/PaddleClas/pretrained/resnet101_vd_ssld_imagenet"
pretrained_model
=
None
return
PSPNet
(
backbone
=
'ResNet101_vd'
,
output_stride
=
8
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
return
PSPNet
(
backbone
=
'ResNet101_vd'
,
output_stride
=
8
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
@
manager
.
MODELS
.
add_component
@
manager
.
MODELS
.
add_component
def
pspnet_resnet50_vd
(
*
args
,
**
kwargs
):
def
pspnet_resnet50_vd
(
*
args
,
**
kwargs
):
pretrained_model
=
"/mnt/liuyi22/PaddlePaddle/PaddleClas/pretrained/resnet50_vd_ssld_v2_imagenet"
pretrained_model
=
None
return
PSPNet
(
backbone
=
'ResNet50_vd'
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
return
PSPNet
(
backbone
=
'ResNet50_vd'
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
@
manager
.
MODELS
.
add_component
@
manager
.
MODELS
.
add_component
def
pspnet_resnet50_vd_os8
(
*
args
,
**
kwargs
):
def
pspnet_resnet50_vd_os8
(
*
args
,
**
kwargs
):
pretrained_model
=
"/mnt/liuyi22/PaddlePaddle/PaddleClas/pretrained/resnet50_vd_ssld_v2_imagenet"
pretrained_model
=
None
return
PSPNet
(
backbone
=
'ResNet50_vd'
,
output_stride
=
8
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
return
PSPNet
(
backbone
=
'ResNet50_vd'
,
output_stride
=
8
,
pretrained_model
=
pretrained_model
,
**
kwargs
)
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