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a7b32ca8
编写于
7月 07, 2021
作者:
L
LDOUBLEV
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-29
configs/det/ch_ppocr_v2.1/ch_det_lite_train_cml_v2.1.yml
configs/det/ch_ppocr_v2.1/ch_det_lite_train_cml_v2.1.yml
+202
-0
configs/det/ch_ppocr_v2.1/ch_det_lite_train_distill_v2.1.yml
configs/det/ch_ppocr_v2.1/ch_det_lite_train_distill_v2.1.yml
+1
-29
configs/det/ch_ppocr_v2.1/ch_det_lite_train_dml_v2.1.yml
configs/det/ch_ppocr_v2.1/ch_det_lite_train_dml_v2.1.yml
+176
-0
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configs/det/ch_ppocr_v2.1/ch_det_lite_train_cml_v2.1.yml
0 → 100644
浏览文件 @
a7b32ca8
Global
:
use_gpu
:
true
epoch_num
:
1200
log_smooth_window
:
20
print_batch_step
:
2
save_model_dir
:
./output/ch_db_mv3/
save_epoch_step
:
1200
# evaluation is run every 5000 iterations after the 4000th iteration
eval_batch_step
:
[
3000
,
2000
]
cal_metric_during_train
:
False
pretrained_model
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
doc/imgs_en/img_10.jpg
save_res_path
:
./output/det_db/predicts_db.txt
Architecture
:
name
:
DistillationModel
algorithm
:
Distillation
Models
:
Student
:
pretrained
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
freeze_params
:
false
return_all_feats
:
false
model_type
:
det
algorithm
:
DB
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
True
Neck
:
name
:
DBFPN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
Student2
:
pretrained
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
freeze_params
:
false
return_all_feats
:
false
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
True
Neck
:
name
:
DBFPN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
Teacher
:
pretrained
:
./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy
freeze_params
:
true
return_all_feats
:
false
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
ResNet
layers
:
18
Neck
:
name
:
DBFPN
out_channels
:
256
Head
:
name
:
DBHead
k
:
50
Loss
:
name
:
CombinedLoss
loss_config_list
:
-
DistillationDilaDBLoss
:
weight
:
1.0
model_name_pairs
:
-
[
"
Student"
,
"
Teacher"
]
-
[
"
Student2"
,
"
Teacher"
]
key
:
maps
balance_loss
:
true
main_loss_type
:
DiceLoss
alpha
:
5
beta
:
10
ohem_ratio
:
3
-
DistillationDMLLoss
:
model_name_pairs
:
-
[
"
Student"
,
"
Student2"
]
maps_name
:
"
thrink_maps"
weight
:
1.0
act
:
"
softmax"
model_name_pairs
:
[
"
Student"
,
"
Student2"
]
key
:
maps
-
DistillationDBLoss
:
weight
:
1.0
model_name_list
:
[
"
Student"
,
"
Student2"
]
# key: maps
name
:
DBLoss
balance_loss
:
true
main_loss_type
:
DiceLoss
alpha
:
5
beta
:
10
ohem_ratio
:
3
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
name
:
Cosine
learning_rate
:
0.001
warmup_epoch
:
2
regularizer
:
name
:
'
L2'
factor
:
0
PostProcess
:
name
:
DistillationDBPostProcess
model_name
:
[
"
Student"
,
"
Student2"
]
key
:
head_out
thresh
:
0.3
box_thresh
:
0.6
max_candidates
:
1000
unclip_ratio
:
1.5
Metric
:
name
:
DistillationMetric
base_metric_name
:
DetMetric
main_indicator
:
hmean
key
:
"
Student"
Train
:
dataset
:
name
:
SimpleDataSet
data_dir
:
./train_data/icdar2015/text_localization/
label_file_list
:
-
./train_data/icdar2015/text_localization/train_icdar2015_label.txt
ratio_list
:
[
1.0
]
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
DetLabelEncode
:
# Class handling label
-
IaaAugment
:
augmenter_args
:
-
{
'
type'
:
Fliplr
,
'
args'
:
{
'
p'
:
0.5
}
}
-
{
'
type'
:
Affine
,
'
args'
:
{
'
rotate'
:
[
-10
,
10
]
}
}
-
{
'
type'
:
Resize
,
'
args'
:
{
'
size'
:
[
0.5
,
3
]
}
}
-
EastRandomCropData
:
size
:
[
960
,
960
]
max_tries
:
50
keep_ratio
:
true
-
MakeBorderMap
:
shrink_ratio
:
0.4
thresh_min
:
0.3
thresh_max
:
0.7
-
MakeShrinkMap
:
shrink_ratio
:
0.4
min_text_size
:
8
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
hwc'
-
ToCHWImage
:
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
threshold_map'
,
'
threshold_mask'
,
'
shrink_map'
,
'
shrink_mask'
]
# the order of the dataloader list
loader
:
shuffle
:
True
drop_last
:
False
batch_size_per_card
:
8
num_workers
:
4
Eval
:
dataset
:
name
:
SimpleDataSet
data_dir
:
./train_data/icdar2015/text_localization/
label_file_list
:
-
./train_data/icdar2015/text_localization/test_icdar2015_label.txt
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
DetLabelEncode
:
# Class handling label
-
DetResizeForTest
:
# image_shape: [736, 1280]
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
hwc'
-
ToCHWImage
:
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
shape'
,
'
polys'
,
'
ignore_tags'
]
loader
:
shuffle
:
False
drop_last
:
False
batch_size_per_card
:
1
# must be 1
num_workers
:
2
configs/det/ch_ppocr_v2.1/ch_det_lite_train_distill_v2.1.yml
浏览文件 @
a7b32ca8
...
@@ -36,24 +36,6 @@ Architecture:
...
@@ -36,24 +36,6 @@ Architecture:
Head
:
Head
:
name
:
DBHead
name
:
DBHead
k
:
50
k
:
50
Student2
:
pretrained
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
freeze_params
:
false
return_all_feats
:
false
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
True
Neck
:
name
:
DBFPN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
Teacher
:
Teacher
:
pretrained
:
./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy
pretrained
:
./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy
freeze_params
:
true
freeze_params
:
true
...
@@ -78,24 +60,15 @@ Loss:
...
@@ -78,24 +60,15 @@ Loss:
weight
:
1.0
weight
:
1.0
model_name_pairs
:
model_name_pairs
:
-
[
"
Student"
,
"
Teacher"
]
-
[
"
Student"
,
"
Teacher"
]
-
[
"
Student2"
,
"
Teacher"
]
key
:
maps
key
:
maps
balance_loss
:
true
balance_loss
:
true
main_loss_type
:
DiceLoss
main_loss_type
:
DiceLoss
alpha
:
5
alpha
:
5
beta
:
10
beta
:
10
ohem_ratio
:
3
ohem_ratio
:
3
-
DistillationDMLLoss
:
model_name_pairs
:
-
[
"
Student"
,
"
Student2"
]
maps_name
:
"
thrink_maps"
weight
:
1.0
act
:
"
softmax"
model_name_pairs
:
[
"
Student"
,
"
Student2"
]
key
:
maps
-
DistillationDBLoss
:
-
DistillationDBLoss
:
weight
:
1.0
weight
:
1.0
model_name_list
:
[
"
Student"
,
"
Student2
"
]
model_name_list
:
[
"
Student"
,
"
Teacher
"
]
# key: maps
# key: maps
name
:
DBLoss
name
:
DBLoss
balance_loss
:
true
balance_loss
:
true
...
@@ -104,7 +77,6 @@ Loss:
...
@@ -104,7 +77,6 @@ Loss:
beta
:
10
beta
:
10
ohem_ratio
:
3
ohem_ratio
:
3
Optimizer
:
Optimizer
:
name
:
Adam
name
:
Adam
beta1
:
0.9
beta1
:
0.9
...
...
configs/det/ch_ppocr_v2.1/ch_det_lite_train_dml_v2.1.yml
0 → 100644
浏览文件 @
a7b32ca8
Global
:
use_gpu
:
true
epoch_num
:
1200
log_smooth_window
:
20
print_batch_step
:
2
save_model_dir
:
./output/ch_db_mv3/
save_epoch_step
:
1200
# evaluation is run every 5000 iterations after the 4000th iteration
eval_batch_step
:
[
3000
,
2000
]
cal_metric_during_train
:
False
pretrained_model
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
doc/imgs_en/img_10.jpg
save_res_path
:
./output/det_db/predicts_db.txt
Architecture
:
name
:
DistillationModel
algorithm
:
Distillation
Models
:
Student
:
pretrained
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
freeze_params
:
false
return_all_feats
:
false
model_type
:
det
algorithm
:
DB
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
True
Neck
:
name
:
DBFPN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
Student2
:
pretrained
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
freeze_params
:
false
return_all_feats
:
false
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
True
Neck
:
name
:
DBFPN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
Loss
:
name
:
CombinedLoss
loss_config_list
:
-
DistillationDMLLoss
:
model_name_pairs
:
-
[
"
Student"
,
"
Student2"
]
maps_name
:
"
thrink_maps"
weight
:
1.0
act
:
"
softmax"
model_name_pairs
:
[
"
Student"
,
"
Student2"
]
key
:
maps
-
DistillationDBLoss
:
weight
:
1.0
model_name_list
:
[
"
Student"
,
"
Student2"
]
# key: maps
name
:
DBLoss
balance_loss
:
true
main_loss_type
:
DiceLoss
alpha
:
5
beta
:
10
ohem_ratio
:
3
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
name
:
Cosine
learning_rate
:
0.001
warmup_epoch
:
2
regularizer
:
name
:
'
L2'
factor
:
0
PostProcess
:
name
:
DistillationDBPostProcess
model_name
:
[
"
Student"
,
"
Student2"
]
key
:
head_out
thresh
:
0.3
box_thresh
:
0.6
max_candidates
:
1000
unclip_ratio
:
1.5
Metric
:
name
:
DistillationMetric
base_metric_name
:
DetMetric
main_indicator
:
hmean
key
:
"
Student"
Train
:
dataset
:
name
:
SimpleDataSet
data_dir
:
./train_data/icdar2015/text_localization/
label_file_list
:
-
./train_data/icdar2015/text_localization/train_icdar2015_label.txt
ratio_list
:
[
1.0
]
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
DetLabelEncode
:
# Class handling label
-
IaaAugment
:
augmenter_args
:
-
{
'
type'
:
Fliplr
,
'
args'
:
{
'
p'
:
0.5
}
}
-
{
'
type'
:
Affine
,
'
args'
:
{
'
rotate'
:
[
-10
,
10
]
}
}
-
{
'
type'
:
Resize
,
'
args'
:
{
'
size'
:
[
0.5
,
3
]
}
}
-
EastRandomCropData
:
size
:
[
960
,
960
]
max_tries
:
50
keep_ratio
:
true
-
MakeBorderMap
:
shrink_ratio
:
0.4
thresh_min
:
0.3
thresh_max
:
0.7
-
MakeShrinkMap
:
shrink_ratio
:
0.4
min_text_size
:
8
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
hwc'
-
ToCHWImage
:
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
threshold_map'
,
'
threshold_mask'
,
'
shrink_map'
,
'
shrink_mask'
]
# the order of the dataloader list
loader
:
shuffle
:
True
drop_last
:
False
batch_size_per_card
:
8
num_workers
:
4
Eval
:
dataset
:
name
:
SimpleDataSet
data_dir
:
./train_data/icdar2015/text_localization/
label_file_list
:
-
./train_data/icdar2015/text_localization/test_icdar2015_label.txt
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
DetLabelEncode
:
# Class handling label
-
DetResizeForTest
:
# image_shape: [736, 1280]
-
NormalizeImage
:
scale
:
1./255.
mean
:
[
0.485
,
0.456
,
0.406
]
std
:
[
0.229
,
0.224
,
0.225
]
order
:
'
hwc'
-
ToCHWImage
:
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
shape'
,
'
polys'
,
'
ignore_tags'
]
loader
:
shuffle
:
False
drop_last
:
False
batch_size_per_card
:
1
# must be 1
num_workers
:
2
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