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5c26d2e8
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5c26d2e8
编写于
8月 31, 2021
作者:
L
LDOUBLEV
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3 changed file
with
250 addition
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1 deletion
+250
-1
tests/configs/det_mv3_db.yml
tests/configs/det_mv3_db.yml
+125
-0
tests/configs/det_r50_db.yml
tests/configs/det_r50_db.yml
+124
-0
tests/ocr_det_params.txt
tests/ocr_det_params.txt
+1
-1
未找到文件。
tests/configs/det_mv3_db.yml
0 → 100644
浏览文件 @
5c26d2e8
Global
:
use_gpu
:
false
epoch_num
:
5
log_smooth_window
:
20
print_batch_step
:
1
save_model_dir
:
./output/db_mv3/
save_epoch_step
:
1200
# evaluation is run every 2000 iterations
eval_batch_step
:
[
0
,
400
]
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
:
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
Neck
:
name
:
DBFPN
out_channels
:
256
Head
:
name
:
DBHead
k
:
50
Loss
:
name
:
DBLoss
balance_loss
:
true
main_loss_type
:
DiceLoss
alpha
:
5
#5
beta
:
10
#10
ohem_ratio
:
3
Optimizer
:
name
:
Adam
#Momentum
#momentum: 0.9
beta1
:
0.9
beta2
:
0.999
lr
:
learning_rate
:
0.001
regularizer
:
name
:
'
L2'
factor
:
0
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
:
./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
-
Resize
:
# size: [640, 640]
-
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
:
False
drop_last
:
False
batch_size_per_card
:
1
num_workers
:
0
use_shared_memory
:
False
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
:
0
use_shared_memory
:
False
tests/configs/det_r50_db.yml
0 → 100644
浏览文件 @
5c26d2e8
Global
:
use_gpu
:
false
epoch_num
:
5
log_smooth_window
:
20
print_batch_step
:
1
save_model_dir
:
./output/db_mv3/
save_epoch_step
:
1200
# evaluation is run every 2000 iterations
eval_batch_step
:
[
0
,
400
]
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
:
model_type
:
det
algorithm
:
DB
Transform
:
Backbone
:
name
:
ResNet
#MobileNetV3
layers
:
50
Neck
:
name
:
DBFPN
out_channels
:
256
Head
:
name
:
DBHead
k
:
50
Loss
:
name
:
DBLoss
balance_loss
:
true
main_loss_type
:
DiceLoss
alpha
:
5
#5
beta
:
10
#10
ohem_ratio
:
3
Optimizer
:
name
:
Adam
#Momentum
#momentum: 0.9
beta1
:
0.9
beta2
:
0.999
lr
:
learning_rate
:
0.001
regularizer
:
name
:
'
L2'
factor
:
0
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
:
./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
-
Resize
:
# size: [640, 640]
-
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
:
False
drop_last
:
False
batch_size_per_card
:
1
num_workers
:
0
use_shared_memory
:
False
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
:
0
use_shared_memory
:
False
tests/ocr_det_params.txt
浏览文件 @
5c26d2e8
...
@@ -13,7 +13,7 @@ train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
...
@@ -13,7 +13,7 @@ train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
null:null
null:null
##
##
trainer:norm_train|pact_train
trainer:norm_train|pact_train
norm_train:tools/train.py -c
configs/det
/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
norm_train:tools/train.py -c
tests/configs
/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
pact_train:deploy/slim/quantization/quant.py -c configs/det/det_mv3_db.yml -o
pact_train:deploy/slim/quantization/quant.py -c configs/det/det_mv3_db.yml -o
fpgm_train:null
fpgm_train:null
distill_train:null
distill_train:null
...
...
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