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体验新版 GitCode,发现更多精彩内容 >>
提交
2526d5cb
编写于
4月 13, 2020
作者:
W
WuHaobo
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
polish download pretrain
上级
e3ca763d
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
121 addition
and
119 deletion
+121
-119
configs/pretrained.list
configs/pretrained.list
+117
-117
ppcls/utils/check.py
ppcls/utils/check.py
+1
-0
ppcls/utils/model_zoo.py
ppcls/utils/model_zoo.py
+3
-2
未找到文件。
configs/pretrained.list
浏览文件 @
2526d5cb
-
ResNet18
-
ResNet34
-
ResNet50
-
ResNet101
-
ResNet152
-
ResNet50_vc
-
ResNet18_vd
-
ResNet34_vd
-
ResNet50_vd
-
ResNet50_vd_v2
-
ResNet101_vd
-
ResNet152_vd
-
ResNet200_vd
-
ResNet50_vd_ssld
-
MobileNetV3_large_x0_35
-
MobileNetV3_large_x0_5
-
MobileNetV3_large_x0_75
-
MobileNetV3_large_x1_0
-
MobileNetV3_large_x1_25
-
MobileNetV3_small_x0_35
-
MobileNetV3_small_x0_5
-
MobileNetV3_small_x0_75
-
MobileNetV3_small_x1_0
-
MobileNetV3_small_x1_25
-
MobileNetV3_large_x1_0_ssld
-
MobileNetV3_large_x1_0_ssld_int8
-
MobileNetV3_small_x1_0_ssld
-
MobileNetV2_x0_25
-
MobileNetV2_x0_5
-
MobileNetV2_x0_75
-
MobileNetV2
-
MobileNetV2_x1_5
-
MobileNetV2_x2_0
-
MobileNetV2_ssld
-
MobileNetV1_x0_25
-
MobileNetV1_x0_5
-
MobileNetV1_x0_75
-
MobileNetV1
-
MobileNetV1_ssld
-
ShuffleNetV2_x0_25
-
ShuffleNetV2_x0_33
-
ShuffleNetV2_x0_5
-
ShuffleNetV2
-
ShuffleNetV2_x1_5
-
ShuffleNetV2_x2_0
-
ShuffleNetV2_swish
-
ResNeXt50_32x4d
-
ResNeXt50_64x4d
-
ResNeXt101_32x4d
-
ResNeXt101_64x4d
-
ResNeXt152_32x4d
-
ResNeXt152_64x4d
-
ResNeXt50_vd_32x4d
-
ResNeXt50_vd_64x4d
-
ResNeXt101_vd_32x4d
-
ResNeXt101_vd_64x4d
-
ResNeXt152_vd_32x4d
-
ResNeXt152_vd_64x4d
-
SE_ResNet18_vd
-
SE_ResNet34_vd
-
SE_ResNet50_vd
-
SE_ResNeXt50_32x4d
-
SE_ResNeXt101_32x4d
-
SE_ResNeXt50_vd_32x4d
-
SENet154_vd
-
Res2Net50_26w_4s
-
Res2Net50_vd_26w_4s
-
Res2Net50_14w_8s
-
Res2Net101_vd_26w_4s
-
Res2Net200_vd_26w_4s
-
GoogLeNet
-
InceptionV4
-
Xception41
-
Xception41_deeplab
-
Xception65
-
Xception65_deeplab
-
Xception71
-
HRNet_W18_C
-
HRNet_W30_C
-
HRNet_W32_C
-
HRNet_W40_C
-
HRNet_W44_C
-
HRNet_W48_C
-
HRNet_W64_C
-
DPN68
-
DPN92
-
DPN98
-
DPN107
-
DPN131
-
DenseNet121
-
DenseNet161
-
DenseNet169
-
DenseNet201
-
DenseNet264
-
EfficientNetB0_small
-
EfficientNetB0
-
EfficientNetB1
-
EfficientNetB2
-
EfficientNetB3
-
EfficientNetB4
-
EfficientNetB5
-
EfficientNetB6
-
EfficientNetB7
-
ResNeXt101_32x8d_wsl
-
ResNeXt101_32x16d_wsl
-
ResNeXt101_32x32d_wsl
-
ResNeXt101_32x48d_wsl
-
Fix_ResNeXt101_32x48d_wsl
-
AlexNet
-
SqueezeNet1_0
-
SqueezeNet1_1
-
VGG11
-
VGG13
-
VGG16
-
VGG19
-
DarkNet53
-
ResNet50_ACNet_deploy
ResNet18
ResNet34
ResNet50
ResNet101
ResNet152
ResNet50_vc
ResNet18_vd
ResNet34_vd
ResNet50_vd
ResNet50_vd_v2
ResNet101_vd
ResNet152_vd
ResNet200_vd
ResNet50_vd_ssld
MobileNetV3_large_x0_35
MobileNetV3_large_x0_5
MobileNetV3_large_x0_75
MobileNetV3_large_x1_0
MobileNetV3_large_x1_25
MobileNetV3_small_x0_35
MobileNetV3_small_x0_5
MobileNetV3_small_x0_75
MobileNetV3_small_x1_0
MobileNetV3_small_x1_25
MobileNetV3_large_x1_0_ssld
MobileNetV3_large_x1_0_ssld_int8
MobileNetV3_small_x1_0_ssld
MobileNetV2_x0_25
MobileNetV2_x0_5
MobileNetV2_x0_75
MobileNetV2
MobileNetV2_x1_5
MobileNetV2_x2_0
MobileNetV2_ssld
MobileNetV1_x0_25
MobileNetV1_x0_5
MobileNetV1_x0_75
MobileNetV1
MobileNetV1_ssld
ShuffleNetV2_x0_25
ShuffleNetV2_x0_33
ShuffleNetV2_x0_5
ShuffleNetV2
ShuffleNetV2_x1_5
ShuffleNetV2_x2_0
ShuffleNetV2_swish
ResNeXt50_32x4d
ResNeXt50_64x4d
ResNeXt101_32x4d
ResNeXt101_64x4d
ResNeXt152_32x4d
ResNeXt152_64x4d
ResNeXt50_vd_32x4d
ResNeXt50_vd_64x4d
ResNeXt101_vd_32x4d
ResNeXt101_vd_64x4d
ResNeXt152_vd_32x4d
ResNeXt152_vd_64x4d
SE_ResNet18_vd
SE_ResNet34_vd
SE_ResNet50_vd
SE_ResNeXt50_32x4d
SE_ResNeXt101_32x4d
SE_ResNeXt50_vd_32x4d
SENet154_vd
Res2Net50_26w_4s
Res2Net50_vd_26w_4s
Res2Net50_14w_8s
Res2Net101_vd_26w_4s
Res2Net200_vd_26w_4s
GoogLeNet
InceptionV4
Xception41
Xception41_deeplab
Xception65
Xception65_deeplab
Xception71
HRNet_W18_C
HRNet_W30_C
HRNet_W32_C
HRNet_W40_C
HRNet_W44_C
HRNet_W48_C
HRNet_W64_C
DPN68
DPN92
DPN98
DPN107
DPN131
DenseNet121
DenseNet161
DenseNet169
DenseNet201
DenseNet264
EfficientNetB0_small
EfficientNetB0
EfficientNetB1
EfficientNetB2
EfficientNetB3
EfficientNetB4
EfficientNetB5
EfficientNetB6
EfficientNetB7
ResNeXt101_32x8d_wsl
ResNeXt101_32x16d_wsl
ResNeXt101_32x32d_wsl
ResNeXt101_32x48d_wsl
Fix_ResNeXt101_32x48d_wsl
AlexNet
SqueezeNet1_0
SqueezeNet1_1
VGG11
VGG13
VGG16
VGG19
DarkNet53
ResNet50_ACNet_deploy
ppcls/utils/check.py
浏览文件 @
2526d5cb
...
...
@@ -20,6 +20,7 @@ import sys
import
paddle.fluid
as
fluid
from
ppcls.modeling
import
get_architectures
from
ppcls.modeling
import
similar_architectures
from
ppcls.utils
import
logger
...
...
ppcls/utils/model_zoo.py
浏览文件 @
2526d5cb
...
...
@@ -25,7 +25,6 @@ import zipfile
from
ppcls.modeling
import
similar_architectures
from
ppcls.utils.check
import
check_architecture
from
ppcls.utils.config
import
get_config
from
ppcls.utils
import
logger
__all__
=
[
'get'
]
...
...
@@ -172,7 +171,9 @@ def _decompress(fname):
def
_check_pretrained_name
(
architecture
):
assert
isinstance
(
architecture
,
str
),
\
(
"the type of architecture({}) should be str"
.
format
(
architecture
))
similar_names
=
similar_architectures
(
architecture
,
get_config
(
'../../../configs/pretrained.list'
))
with
open
(
'./configs/pretrained.list'
)
as
flist
:
pretrained
=
[
line
.
strip
()
for
line
in
flist
]
similar_names
=
similar_architectures
(
architecture
,
pretrained
)
model_list
=
', '
.
join
(
similar_names
)
err
=
"{} is not exist! Maybe you want: [{}]"
\
""
.
format
(
architecture
,
model_list
)
...
...
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