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b480d92c
编写于
4月 27, 2021
作者:
L
littletomatodonkey
提交者:
GitHub
4月 27, 2021
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电子邮件补丁
差异文件
add swin transformer (#685)
* add swin transformer
上级
91502d8f
变更
6
展开全部
隐藏空白更改
内联
并排
Showing
6 changed file
with
1059 addition
and
0 deletion
+1059
-0
configs/SwinTransformer/SwinTransformer_base_patch4_window12_384.yaml
...Transformer/SwinTransformer_base_patch4_window12_384.yaml
+72
-0
configs/SwinTransformer/SwinTransformer_base_patch4_window7_224.yaml
...nTransformer/SwinTransformer_base_patch4_window7_224.yaml
+74
-0
configs/SwinTransformer/SwinTransformer_small_patch4_window7_224.yaml
...Transformer/SwinTransformer_small_patch4_window7_224.yaml
+74
-0
configs/SwinTransformer/SwinTransformer_tiny_patch4_window7_224.yaml
...nTransformer/SwinTransformer_tiny_patch4_window7_224.yaml
+74
-0
ppcls/modeling/architectures/__init__.py
ppcls/modeling/architectures/__init__.py
+1
-0
ppcls/modeling/architectures/swin_transformer.py
ppcls/modeling/architectures/swin_transformer.py
+764
-0
未找到文件。
configs/SwinTransformer/SwinTransformer_base_patch4_window12_384.yaml
0 → 100644
浏览文件 @
b480d92c
mode
:
'
train'
ARCHITECTURE
:
name
:
'
SwinTransformer_base_patch4_window12_384'
pretrained_model
:
"
"
model_save_dir
:
"
./output/"
classes_num
:
1000
total_images
:
1281167
save_interval
:
1
validate
:
True
valid_interval
:
1
epochs
:
120
topk
:
5
image_shape
:
[
3
,
384
,
384
]
use_mix
:
False
ls_epsilon
:
-1
LEARNING_RATE
:
function
:
'
Piecewise'
params
:
lr
:
0.1
decay_epochs
:
[
30
,
60
,
90
]
gamma
:
0.1
OPTIMIZER
:
function
:
'
Momentum'
params
:
momentum
:
0.9
regularizer
:
function
:
'
L2'
factor
:
0.000100
TRAIN
:
batch_size
:
256
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/train_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
RandCropImage
:
size
:
224
-
RandFlipImage
:
flip_code
:
1
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
VALID
:
batch_size
:
256
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/val_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
ResizeImage
:
size
:
[
384
,
384
]
-
NormalizeImage
:
scale
:
1.0/255.0
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
configs/SwinTransformer/SwinTransformer_base_patch4_window7_224.yaml
0 → 100644
浏览文件 @
b480d92c
mode
:
'
train'
ARCHITECTURE
:
name
:
'
SwinTransformer_base_patch4_window7_224'
pretrained_model
:
"
"
model_save_dir
:
"
./output/"
classes_num
:
1000
total_images
:
1281167
save_interval
:
1
validate
:
True
valid_interval
:
1
epochs
:
120
topk
:
5
image_shape
:
[
3
,
224
,
224
]
use_mix
:
False
ls_epsilon
:
-1
LEARNING_RATE
:
function
:
'
Piecewise'
params
:
lr
:
0.1
decay_epochs
:
[
30
,
60
,
90
]
gamma
:
0.1
OPTIMIZER
:
function
:
'
Momentum'
params
:
momentum
:
0.9
regularizer
:
function
:
'
L2'
factor
:
0.000100
TRAIN
:
batch_size
:
256
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/train_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
RandCropImage
:
size
:
224
-
RandFlipImage
:
flip_code
:
1
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
VALID
:
batch_size
:
64
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/val_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
ResizeImage
:
resize_short
:
256
-
CropImage
:
size
:
224
-
NormalizeImage
:
scale
:
1.0/255.0
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
configs/SwinTransformer/SwinTransformer_small_patch4_window7_224.yaml
0 → 100644
浏览文件 @
b480d92c
mode
:
'
train'
ARCHITECTURE
:
name
:
'
SwinTransformer_small_patch4_window7_224'
pretrained_model
:
"
"
model_save_dir
:
"
./output/"
classes_num
:
1000
total_images
:
1281167
save_interval
:
1
validate
:
True
valid_interval
:
1
epochs
:
120
topk
:
5
image_shape
:
[
3
,
224
,
224
]
use_mix
:
False
ls_epsilon
:
-1
LEARNING_RATE
:
function
:
'
Piecewise'
params
:
lr
:
0.1
decay_epochs
:
[
30
,
60
,
90
]
gamma
:
0.1
OPTIMIZER
:
function
:
'
Momentum'
params
:
momentum
:
0.9
regularizer
:
function
:
'
L2'
factor
:
0.000100
TRAIN
:
batch_size
:
256
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/train_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
RandCropImage
:
size
:
224
-
RandFlipImage
:
flip_code
:
1
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
VALID
:
batch_size
:
64
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/val_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
ResizeImage
:
resize_short
:
256
-
CropImage
:
size
:
224
-
NormalizeImage
:
scale
:
1.0/255.0
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
configs/SwinTransformer/SwinTransformer_tiny_patch4_window7_224.yaml
0 → 100644
浏览文件 @
b480d92c
mode
:
'
train'
ARCHITECTURE
:
name
:
'
SwinTransformer_tiny_patch4_window7_224'
pretrained_model
:
"
"
model_save_dir
:
"
./output/"
classes_num
:
1000
total_images
:
1281167
save_interval
:
1
validate
:
True
valid_interval
:
1
epochs
:
120
topk
:
5
image_shape
:
[
3
,
224
,
224
]
use_mix
:
False
ls_epsilon
:
-1
LEARNING_RATE
:
function
:
'
Piecewise'
params
:
lr
:
0.1
decay_epochs
:
[
30
,
60
,
90
]
gamma
:
0.1
OPTIMIZER
:
function
:
'
Momentum'
params
:
momentum
:
0.9
regularizer
:
function
:
'
L2'
factor
:
0.000100
TRAIN
:
batch_size
:
256
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/train_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
RandCropImage
:
size
:
224
-
RandFlipImage
:
flip_code
:
1
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
VALID
:
batch_size
:
256
num_workers
:
4
file_list
:
"
./dataset/ILSVRC2012/val_list.txt"
data_dir
:
"
./dataset/ILSVRC2012/"
shuffle_seed
:
0
transforms
:
-
DecodeImage
:
to_rgb
:
True
channel_first
:
False
-
ResizeImage
:
resize_short
:
256
-
CropImage
:
size
:
224
-
NormalizeImage
:
scale
:
1.0/255.0
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
'
-
ToCHWImage
:
ppcls/modeling/architectures/__init__.py
浏览文件 @
b480d92c
...
@@ -47,5 +47,6 @@ from .vision_transformer import ViT_small_patch16_224, ViT_base_patch16_224, ViT
...
@@ -47,5 +47,6 @@ from .vision_transformer import ViT_small_patch16_224, ViT_base_patch16_224, ViT
from
.distilled_vision_transformer
import
DeiT_tiny_patch16_224
,
DeiT_small_patch16_224
,
DeiT_base_patch16_224
,
DeiT_tiny_distilled_patch16_224
,
DeiT_small_distilled_patch16_224
,
DeiT_base_distilled_patch16_224
,
DeiT_base_patch16_384
,
DeiT_base_distilled_patch16_384
from
.distilled_vision_transformer
import
DeiT_tiny_patch16_224
,
DeiT_small_patch16_224
,
DeiT_base_patch16_224
,
DeiT_tiny_distilled_patch16_224
,
DeiT_small_distilled_patch16_224
,
DeiT_base_distilled_patch16_224
,
DeiT_base_patch16_384
,
DeiT_base_distilled_patch16_384
from
.distillation_models
import
ResNet50_vd_distill_MobileNetV3_large_x1_0
,
ResNeXt101_32x16d_wsl_distill_ResNet50_vd
from
.distillation_models
import
ResNet50_vd_distill_MobileNetV3_large_x1_0
,
ResNeXt101_32x16d_wsl_distill_ResNet50_vd
from
.repvgg
import
RepVGG_A0
,
RepVGG_A1
,
RepVGG_A2
,
RepVGG_B0
,
RepVGG_B1
,
RepVGG_B2
,
RepVGG_B3
,
RepVGG_B1g2
,
RepVGG_B1g4
,
RepVGG_B2g2
,
RepVGG_B2g4
,
RepVGG_B3g2
,
RepVGG_B3g4
from
.repvgg
import
RepVGG_A0
,
RepVGG_A1
,
RepVGG_A2
,
RepVGG_B0
,
RepVGG_B1
,
RepVGG_B2
,
RepVGG_B3
,
RepVGG_B1g2
,
RepVGG_B1g4
,
RepVGG_B2g2
,
RepVGG_B2g4
,
RepVGG_B3g2
,
RepVGG_B3g4
from
.swin_transformer
import
SwinTransformer_tiny_patch4_window7_224
,
SwinTransformer_small_patch4_window7_224
,
SwinTransformer_base_patch4_window7_224
,
SwinTransformer_base_patch4_window12_384
from
.mixnet
import
MixNet_S
,
MixNet_M
,
MixNet_L
from
.mixnet
import
MixNet_S
,
MixNet_M
,
MixNet_L
from
.rexnet
import
ReXNet_1_0
,
ReXNet_1_3
,
ReXNet_1_5
,
ReXNet_2_0
,
ReXNet_3_0
from
.rexnet
import
ReXNet_1_0
,
ReXNet_1_3
,
ReXNet_1_5
,
ReXNet_2_0
,
ReXNet_3_0
ppcls/modeling/architectures/swin_transformer.py
0 → 100644
浏览文件 @
b480d92c
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