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c654dbf7
编写于
12月 07, 2020
作者:
W
WenmuZhou
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差异文件
add rec config on english dataset
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98e5d59e
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6
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Showing
6 changed file
with
299 addition
and
8 deletion
+299
-8
configs/rec/rec_mv3_none_bilstm_ctc.yml
configs/rec/rec_mv3_none_bilstm_ctc.yml
+2
-2
configs/rec/rec_mv3_none_none_ctc.yml
configs/rec/rec_mv3_none_none_ctc.yml
+96
-0
configs/rec/rec_mv3_tps_bilstm_ctc.yml
configs/rec/rec_mv3_tps_bilstm_ctc.yml
+101
-0
configs/rec/rec_r34_vd_none_bilstm_ctc.yml
configs/rec/rec_r34_vd_none_bilstm_ctc.yml
+3
-3
configs/rec/rec_r34_vd_none_none_ctc.yml
configs/rec/rec_r34_vd_none_none_ctc.yml
+94
-0
configs/rec/rec_r34_vd_tps_bilstm_ctc.yml
configs/rec/rec_r34_vd_tps_bilstm_ctc.yml
+3
-3
未找到文件。
configs/rec/rec_mv3_none_bilstm_ctc.yml
浏览文件 @
c654dbf7
...
@@ -5,7 +5,7 @@ Global:
...
@@ -5,7 +5,7 @@ Global:
print_batch_step
:
10
print_batch_step
:
10
save_model_dir
:
./output/rec/mv3_none_bilstm_ctc/
save_model_dir
:
./output/rec/mv3_none_bilstm_ctc/
save_epoch_step
:
3
save_epoch_step
:
3
# evaluation is run every
5000 iterations after the 4000th iteration
# evaluation is run every
2000 iterations
eval_batch_step
:
[
0
,
2000
]
eval_batch_step
:
[
0
,
2000
]
# if pretrained_model is saved in static mode, load_static_weights must set to True
# if pretrained_model is saved in static mode, load_static_weights must set to True
cal_metric_during_train
:
True
cal_metric_during_train
:
True
...
@@ -13,7 +13,7 @@ Global:
...
@@ -13,7 +13,7 @@ Global:
checkpoints
:
checkpoints
:
save_inference_dir
:
save_inference_dir
:
use_visualdl
:
False
use_visualdl
:
False
infer_img
:
doc/imgs_words
/ch/word_1.jp
g
infer_img
:
doc/imgs_words
_en/word_10.pn
g
# for data or label process
# for data or label process
character_dict_path
:
character_dict_path
:
character_type
:
en
character_type
:
en
...
...
configs/rec/rec_mv3_none_none_ctc.yml
0 → 100644
浏览文件 @
c654dbf7
Global
:
use_gpu
:
True
epoch_num
:
72
log_smooth_window
:
20
print_batch_step
:
10
save_model_dir
:
./output/rec/mv3_none_none_ctc/
save_epoch_step
:
3
# evaluation is run every 2000 iterations
eval_batch_step
:
[
0
,
2000
]
# if pretrained_model is saved in static mode, load_static_weights must set to True
cal_metric_during_train
:
True
pretrained_model
:
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
doc/imgs_words_en/word_10.png
# for data or label process
character_dict_path
:
character_type
:
en
max_text_length
:
25
infer_mode
:
False
use_space_char
:
False
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
learning_rate
:
0.0005
regularizer
:
name
:
'
L2'
factor
:
0
Architecture
:
model_type
:
rec
algorithm
:
Rosetta
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
Neck
:
name
:
SequenceEncoder
encoder_type
:
reshape
Head
:
name
:
CTCHead
fc_decay
:
0.0004
Loss
:
name
:
CTCLoss
PostProcess
:
name
:
CTCLabelDecode
Metric
:
name
:
RecMetric
main_indicator
:
acc
Train
:
dataset
:
name
:
LMDBDateSet
data_dir
:
./train_data/data_lmdb_release/training/
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
CTCLabelEncode
:
# Class handling label
-
RecResizeImg
:
image_shape
:
[
3
,
32
,
100
]
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
shuffle
:
False
batch_size_per_card
:
256
drop_last
:
True
num_workers
:
8
Eval
:
dataset
:
name
:
LMDBDateSet
data_dir
:
./train_data/data_lmdb_release/validation/
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
CTCLabelEncode
:
# Class handling label
-
RecResizeImg
:
image_shape
:
[
3
,
32
,
100
]
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
shuffle
:
False
drop_last
:
False
batch_size_per_card
:
256
num_workers
:
8
configs/rec/rec_mv3_tps_bilstm_ctc.yml
0 → 100644
浏览文件 @
c654dbf7
Global
:
use_gpu
:
true
epoch_num
:
72
log_smooth_window
:
20
print_batch_step
:
10
save_model_dir
:
./output/rec/mv3_tps_bilstm_ctc/
save_epoch_step
:
3
# evaluation is run every 2000 iterations
eval_batch_step
:
[
0
,
2000
]
# if pretrained_model is saved in static mode, load_static_weights must set to True
cal_metric_during_train
:
True
pretrained_model
:
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
doc/imgs_words_en/word_10.png
# for data or label process
character_dict_path
:
character_type
:
en
max_text_length
:
25
infer_mode
:
False
use_space_char
:
False
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
learning_rate
:
0.0005
regularizer
:
name
:
'
L2'
factor
:
0
Architecture
:
model_type
:
rec
algorithm
:
STARNet
Transform
:
name
:
TPS
num_fiducial
:
20
loc_lr
:
0.1
model_name
:
small
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
Neck
:
name
:
SequenceEncoder
encoder_type
:
rnn
hidden_size
:
96
Head
:
name
:
CTCHead
fc_decay
:
0.0004
Loss
:
name
:
CTCLoss
PostProcess
:
name
:
CTCLabelDecode
Metric
:
name
:
RecMetric
main_indicator
:
acc
Train
:
dataset
:
name
:
LMDBDateSet
data_dir
:
./train_data/data_lmdb_release/training/
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
CTCLabelEncode
:
# Class handling label
-
RecResizeImg
:
image_shape
:
[
3
,
32
,
100
]
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
shuffle
:
False
batch_size_per_card
:
256
drop_last
:
True
num_workers
:
8
Eval
:
dataset
:
name
:
LMDBDateSet
data_dir
:
./train_data/data_lmdb_release/validation/
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
CTCLabelEncode
:
# Class handling label
-
RecResizeImg
:
image_shape
:
[
3
,
32
,
100
]
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
shuffle
:
False
drop_last
:
False
batch_size_per_card
:
256
num_workers
:
4
configs/rec/rec_r34_vd_none_bilstm_ctc.yml
浏览文件 @
c654dbf7
...
@@ -5,7 +5,7 @@ Global:
...
@@ -5,7 +5,7 @@ Global:
print_batch_step
:
10
print_batch_step
:
10
save_model_dir
:
./output/rec/r34_vd_none_bilstm_ctc/
save_model_dir
:
./output/rec/r34_vd_none_bilstm_ctc/
save_epoch_step
:
3
save_epoch_step
:
3
# evaluation is run every
5000 iterations after the 4000th iteration
# evaluation is run every
2000 iterations
eval_batch_step
:
[
0
,
2000
]
eval_batch_step
:
[
0
,
2000
]
# if pretrained_model is saved in static mode, load_static_weights must set to True
# if pretrained_model is saved in static mode, load_static_weights must set to True
cal_metric_during_train
:
True
cal_metric_during_train
:
True
...
@@ -13,7 +13,7 @@ Global:
...
@@ -13,7 +13,7 @@ Global:
checkpoints
:
checkpoints
:
save_inference_dir
:
save_inference_dir
:
use_visualdl
:
False
use_visualdl
:
False
infer_img
:
doc/imgs_words
/ch/word_1.jp
g
infer_img
:
doc/imgs_words
_en/word_10.pn
g
# for data or label process
# for data or label process
character_dict_path
:
character_dict_path
:
character_type
:
en
character_type
:
en
...
@@ -71,7 +71,7 @@ Train:
...
@@ -71,7 +71,7 @@ Train:
-
KeepKeys
:
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
loader
:
shuffle
:
Fals
e
shuffle
:
Tru
e
batch_size_per_card
:
256
batch_size_per_card
:
256
drop_last
:
True
drop_last
:
True
num_workers
:
8
num_workers
:
8
...
...
configs/rec/rec_r34_vd_none_none_ctc.yml
0 → 100644
浏览文件 @
c654dbf7
Global
:
use_gpu
:
true
epoch_num
:
72
log_smooth_window
:
20
print_batch_step
:
10
save_model_dir
:
./output/rec/r34_vd_none_none_ctc/
save_epoch_step
:
3
# evaluation is run every 2000 iterations
eval_batch_step
:
[
0
,
2000
]
# if pretrained_model is saved in static mode, load_static_weights must set to True
cal_metric_during_train
:
True
pretrained_model
:
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
doc/imgs_words_en/word_10.png
# for data or label process
character_dict_path
:
character_type
:
en
max_text_length
:
25
infer_mode
:
False
use_space_char
:
False
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
learning_rate
:
0.0005
regularizer
:
name
:
'
L2'
factor
:
0
Architecture
:
model_type
:
rec
algorithm
:
Rosetta
Backbone
:
name
:
ResNet
layers
:
34
Neck
:
name
:
SequenceEncoder
encoder_type
:
reshape
Head
:
name
:
CTCHead
fc_decay
:
0.0004
Loss
:
name
:
CTCLoss
PostProcess
:
name
:
CTCLabelDecode
Metric
:
name
:
RecMetric
main_indicator
:
acc
Train
:
dataset
:
name
:
LMDBDateSet
data_dir
:
./train_data/data_lmdb_release/training/
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
CTCLabelEncode
:
# Class handling label
-
RecResizeImg
:
image_shape
:
[
3
,
32
,
100
]
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
shuffle
:
True
batch_size_per_card
:
256
drop_last
:
True
num_workers
:
8
Eval
:
dataset
:
name
:
LMDBDateSet
data_dir
:
./train_data/data_lmdb_release/validation/
transforms
:
-
DecodeImage
:
# load image
img_mode
:
BGR
channel_first
:
False
-
CTCLabelEncode
:
# Class handling label
-
RecResizeImg
:
image_shape
:
[
3
,
32
,
100
]
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
label'
,
'
length'
]
# dataloader will return list in this order
loader
:
shuffle
:
False
drop_last
:
False
batch_size_per_card
:
256
num_workers
:
4
configs/rec/rec_r34_vd_tps_bilstm_ctc.yml
浏览文件 @
c654dbf7
...
@@ -5,7 +5,7 @@ Global:
...
@@ -5,7 +5,7 @@ Global:
print_batch_step
:
10
print_batch_step
:
10
save_model_dir
:
./output/rec/r34_vd_tps_bilstm_ctc/
save_model_dir
:
./output/rec/r34_vd_tps_bilstm_ctc/
save_epoch_step
:
3
save_epoch_step
:
3
# evaluation is run every
5000 iterations after the 4000th iteration
# evaluation is run every
2000 iterations
eval_batch_step
:
[
0
,
2000
]
eval_batch_step
:
[
0
,
2000
]
# if pretrained_model is saved in static mode, load_static_weights must set to True
# if pretrained_model is saved in static mode, load_static_weights must set to True
cal_metric_during_train
:
True
cal_metric_during_train
:
True
...
@@ -13,7 +13,7 @@ Global:
...
@@ -13,7 +13,7 @@ Global:
checkpoints
:
checkpoints
:
save_inference_dir
:
save_inference_dir
:
use_visualdl
:
False
use_visualdl
:
False
infer_img
:
doc/imgs_words
/ch/word_1.jp
g
infer_img
:
doc/imgs_words
_en/word_10.pn
g
# for data or label process
# for data or label process
character_dict_path
:
character_dict_path
:
character_type
:
en
character_type
:
en
...
@@ -34,7 +34,7 @@ Optimizer:
...
@@ -34,7 +34,7 @@ Optimizer:
Architecture
:
Architecture
:
model_type
:
rec
model_type
:
rec
algorithm
:
CRNN
algorithm
:
STARNet
Transform
:
Transform
:
name
:
TPS
name
:
TPS
num_fiducial
:
20
num_fiducial
:
20
...
...
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