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8e679d38
编写于
4月 24, 2022
作者:
L
LDOUBLEV
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
add config
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2 changed file
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417 addition
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configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml
configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml
+239
-0
configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml
configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml
+178
-0
未找到文件。
configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml
0 → 100644
浏览文件 @
8e679d38
Global
:
debug
:
false
use_gpu
:
true
epoch_num
:
500
log_smooth_window
:
20
print_batch_step
:
10
save_model_dir
:
./output/ch_PP-OCR_V3/
save_epoch_step
:
100
eval_batch_step
:
-
0
-
400
load_static_weights
:
false
cal_metric_during_train
:
false
pretrained_model
:
null
checkpoints
:
null
save_inference_dir
:
null
use_visualdl
:
false
infer_img
:
doc/imgs_en/img_10.jpg
save_res_path
:
./checkpoints/det_db/predicts_db.txt
distributed
:
true
student_pretrained_model
:
./pretrain_model/MobileNetV3_large_x0_5_pretrained
teacher_pretrained_model
:
./inference/ch_ppocr_resnet50/student
Architecture
:
model_type
:
det
algorithm
:
DB
NetWorks
:
Student
:
model_type
:
det
algorithm
:
DB
Transform
:
null
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
true
Neck
:
name
:
FEPAN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
kernel_size
:
[
7
,
2
,
2
]
Student2
:
model_type
:
det
algorithm
:
DB
Transform
:
null
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
true
Neck
:
name
:
FEPAN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
kernel_size
:
[
7
,
2
,
2
]
Teacher
:
model_type
:
det
algorithm
:
DB
Backbone
:
name
:
ResNet
in_channels
:
3
layers
:
50
Neck
:
name
:
DBFPN
out_channels
:
256
big_kernel
:
true
Head
:
name
:
DBHead
big_kernel
:
true
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: None
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
:
5.0e-05
PostProcess
:
name
:
DBPostProcess
thresh
:
0.3
box_thresh
:
0.6
max_candidates
:
1000
unclip_ratio
:
1.5
Metric
:
name
:
DetMetric
main_indicator
:
hmean
Train
:
dataset
:
name
:
SimpleDataSet
data_dir
:
../chinese/
label_file_list
:
-
../chinese/zhongce_training_fix_1.6k.txt
-
../chinese/label_train_all_f4_part2.txt
-
../chinese/label_train_all_f4_part4.txt
-
../chinese/label_train_all_f4_part5_no_born-digit_ifly5000.txt
-
../chinese/synch_en_ch_largeword_ppocr_2W.txt
-
../chinese/pubtabnet_ppocr_5W_new.txt
-
../chinese/label_synth_sheet_1W.txt
ratio_list
:
-
1
-
0.1
-
0.1
-
0.4
-
0.05
-
0.04
-
0.05
transforms
:
-
DecodeImage
:
img_mode
:
BGR
channel_first
:
false
-
DetLabelEncode
:
null
-
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
:
null
-
KeepKeys
:
keep_keys
:
-
image
-
threshold_map
-
threshold_mask
-
shrink_map
-
shrink_mask
loader
:
shuffle
:
true
drop_last
:
false
batch_size_per_card
:
8
num_workers
:
4
Eval
:
dataset
:
name
:
SimpleDataSet
data_dir
:
../chinese/test_set/
label_file_list
:
-
../chinese/test_set/Label_refine_v8.txt
transforms
:
-
DecodeImage
:
img_mode
:
BGR
channel_first
:
false
-
DetLabelEncode
:
null
-
DetResizeForTest
:
null
-
NormalizeImage
:
scale
:
1./255.
mean
:
-
0.485
-
0.456
-
0.406
std
:
-
0.229
-
0.224
-
0.225
order
:
hwc
-
ToCHWImage
:
null
-
KeepKeys
:
keep_keys
:
-
image
-
shape
-
polys
-
ignore_tags
loader
:
shuffle
:
false
drop_last
:
false
batch_size_per_card
:
1
num_workers
:
2
configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml
0 → 100644
浏览文件 @
8e679d38
Global
:
debug
:
false
use_gpu
:
true
epoch_num
:
500
log_smooth_window
:
20
print_batch_step
:
10
save_model_dir
:
./output/ch_PP-OCR_V3/
save_epoch_step
:
100
eval_batch_step
:
-
0
-
400
load_static_weights
:
false
cal_metric_during_train
:
false
pretrained_model
:
null
checkpoints
:
null
save_inference_dir
:
null
use_visualdl
:
false
infer_img
:
doc/imgs_en/img_10.jpg
save_res_path
:
./checkpoints/det_db/predicts_db.txt
distributed
:
true
student_pretrained_model
:
./pretrain_model/MobileNetV3_large_x0_5_pretrained
teacher_pretrained_model
:
./inference/ch_ppocr_resnet50/student
Architecture
:
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
disable_se
:
True
Neck
:
name
:
FEPAN
out_channels
:
96
Head
:
name
:
DBHead
k
:
50
kernel_size
:
[
7
,
2
,
2
]
Loss
:
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
:
5.0e-05
PostProcess
:
name
:
DBPostProcess
thresh
:
0.3
box_thresh
:
0.6
max_candidates
:
1000
unclip_ratio
:
1.5
Metric
:
name
:
DetMetric
main_indicator
:
hmean
Train
:
dataset
:
name
:
SimpleDataSet
data_dir
:
../chinese/
label_file_list
:
-
../chinese/zhongce_training_fix_1.6k.txt
-
../chinese/label_train_all_f4_part2.txt
-
../chinese/label_train_all_f4_part4.txt
-
../chinese/label_train_all_f4_part5_no_born-digit_ifly5000.txt
-
../chinese/synch_en_ch_largeword_ppocr_2W.txt
-
../chinese/pubtabnet_ppocr_5W_new.txt
-
../chinese/label_synth_sheet_1W.txt
ratio_list
:
-
1
-
0.1
-
0.1
-
0.4
-
0.05
-
0.04
-
0.05
transforms
:
-
DecodeImage
:
img_mode
:
BGR
channel_first
:
false
-
DetLabelEncode
:
null
-
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
:
null
-
KeepKeys
:
keep_keys
:
-
image
-
threshold_map
-
threshold_mask
-
shrink_map
-
shrink_mask
loader
:
shuffle
:
true
drop_last
:
false
batch_size_per_card
:
8
num_workers
:
4
Eval
:
dataset
:
name
:
SimpleDataSet
data_dir
:
../chinese/test_set/
label_file_list
:
-
../chinese/test_set/Label_refine_v8.txt
transforms
:
-
DecodeImage
:
img_mode
:
BGR
channel_first
:
false
-
DetLabelEncode
:
null
-
DetResizeForTest
:
null
-
NormalizeImage
:
scale
:
1./255.
mean
:
-
0.485
-
0.456
-
0.406
std
:
-
0.229
-
0.224
-
0.225
order
:
hwc
-
ToCHWImage
:
null
-
KeepKeys
:
keep_keys
:
-
image
-
shape
-
polys
-
ignore_tags
loader
:
shuffle
:
false
drop_last
:
false
batch_size_per_card
:
1
num_workers
:
2
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