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PaddleDetection
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e42c6413
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PaddleDetection
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e42c6413
编写于
4月 17, 2020
作者:
X
xinyingxinying
提交者:
GitHub
4月 17, 2020
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差异文件
# add deform in fcos_heas
上级
ef56ff86
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
7 addition
and
3 deletion
+7
-3
ppdet/modeling/anchor_heads/fcos_head.py
ppdet/modeling/anchor_heads/fcos_head.py
+7
-3
未找到文件。
ppdet/modeling/anchor_heads/fcos_head.py
浏览文件 @
e42c6413
...
@@ -22,7 +22,7 @@ import paddle.fluid as fluid
...
@@ -22,7 +22,7 @@ import paddle.fluid as fluid
from
paddle.fluid.param_attr
import
ParamAttr
from
paddle.fluid.param_attr
import
ParamAttr
from
paddle.fluid.initializer
import
Normal
,
Constant
,
NumpyArrayInitializer
from
paddle.fluid.initializer
import
Normal
,
Constant
,
NumpyArrayInitializer
from
paddle.fluid.regularizer
import
L2Decay
from
paddle.fluid.regularizer
import
L2Decay
from
ppdet.modeling.ops
import
ConvNorm
from
ppdet.modeling.ops
import
ConvNorm
,
DeformConvNorm
from
ppdet.modeling.ops
import
MultiClassNMS
from
ppdet.modeling.ops
import
MultiClassNMS
from
ppdet.core.workspace
import
register
from
ppdet.core.workspace
import
register
...
@@ -89,9 +89,13 @@ class FCOSHead(object):
...
@@ -89,9 +89,13 @@ class FCOSHead(object):
subnet_blob_cls
=
features
subnet_blob_cls
=
features
subnet_blob_reg
=
features
subnet_blob_reg
=
features
in_channles
=
features
.
shape
[
1
]
in_channles
=
features
.
shape
[
1
]
if
self
.
use_dcn_in_tower
:
conv_norm
=
DeformConvNorm
else
:
conv_norm
=
ConvNorm
for
lvl
in
range
(
0
,
self
.
num_convs
):
for
lvl
in
range
(
0
,
self
.
num_convs
):
conv_cls_name
=
'fcos_head_cls_tower_conv_{}'
.
format
(
lvl
)
conv_cls_name
=
'fcos_head_cls_tower_conv_{}'
.
format
(
lvl
)
subnet_blob_cls
=
ConvN
orm
(
subnet_blob_cls
=
conv_n
orm
(
input
=
subnet_blob_cls
,
input
=
subnet_blob_cls
,
num_filters
=
in_channles
,
num_filters
=
in_channles
,
filter_size
=
3
,
filter_size
=
3
,
...
@@ -104,7 +108,7 @@ class FCOSHead(object):
...
@@ -104,7 +108,7 @@ class FCOSHead(object):
norm_name
=
conv_cls_name
+
"_norm"
,
norm_name
=
conv_cls_name
+
"_norm"
,
name
=
conv_cls_name
)
name
=
conv_cls_name
)
conv_reg_name
=
'fcos_head_reg_tower_conv_{}'
.
format
(
lvl
)
conv_reg_name
=
'fcos_head_reg_tower_conv_{}'
.
format
(
lvl
)
subnet_blob_reg
=
ConvN
orm
(
subnet_blob_reg
=
conv_n
orm
(
input
=
subnet_blob_reg
,
input
=
subnet_blob_reg
,
num_filters
=
in_channles
,
num_filters
=
in_channles
,
filter_size
=
3
,
filter_size
=
3
,
...
...
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