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PaddleOCR
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5a6d266e
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PaddleOCR
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5a6d266e
编写于
11月 23, 2021
作者:
文幕地方
浏览文件
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差异文件
add east to tipc
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0d933e9a
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4
隐藏空白更改
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Showing
4 changed file
with
319 addition
and
0 deletion
+319
-0
test_tipc/configs/east_mv3/det_mv3_east.yml
test_tipc/configs/east_mv3/det_mv3_east.yml
+109
-0
test_tipc/configs/east_mv3/train_infer_python.txt
test_tipc/configs/east_mv3/train_infer_python.txt
+51
-0
test_tipc/configs/east_r50_vd/det_r50_vd_east.yml
test_tipc/configs/east_r50_vd/det_r50_vd_east.yml
+108
-0
test_tipc/configs/east_r50_vd/train_infer_python.txt
test_tipc/configs/east_r50_vd/train_infer_python.txt
+51
-0
未找到文件。
test_tipc/configs/east_mv3/det_mv3_east.yml
0 → 100644
浏览文件 @
5a6d266e
Global
:
use_gpu
:
true
epoch_num
:
10000
log_smooth_window
:
20
print_batch_step
:
2
save_model_dir
:
./output/east_mv3/
save_epoch_step
:
1000
# evaluation is run every 5000 iterations after the 4000th iteration
eval_batch_step
:
[
4000
,
5000
]
cal_metric_during_train
:
False
pretrained_model
:
./pretrain_models/MobileNetV3_large_x0_5_pretrained
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
save_res_path
:
./output/det_east/predicts_east.txt
Architecture
:
model_type
:
det
algorithm
:
EAST
Transform
:
Backbone
:
name
:
MobileNetV3
scale
:
0.5
model_name
:
large
Neck
:
name
:
EASTFPN
model_name
:
small
Head
:
name
:
EASTHead
model_name
:
small
Loss
:
name
:
EASTLoss
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
# name: Cosine
learning_rate
:
0.001
# warmup_epoch: 0
regularizer
:
name
:
'
L2'
factor
:
0
PostProcess
:
name
:
EASTPostProcess
score_thresh
:
0.8
cover_thresh
:
0.1
nms_thresh
:
0.2
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
-
EASTProcessTrain
:
image_shape
:
[
512
,
512
]
background_ratio
:
0.125
min_crop_side_ratio
:
0.1
min_text_size
:
10
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
score_map'
,
'
geo_map'
,
'
training_mask'
]
# dataloader will return list in this order
loader
:
shuffle
:
True
drop_last
:
False
batch_size_per_card
:
16
num_workers
:
8
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
:
limit_side_len
:
2400
limit_type
:
max
-
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
\ No newline at end of file
test_tipc/configs/east_mv3/train_infer_python.txt
0 → 100644
浏览文件 @
5a6d266e
===========================train_params===========================
model_name:east_mv3
python:python3.7
gpu_list:0
Global.use_gpu:True|True
Global.auto_cast:fp32
Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=500
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
Global.pretrained_model:null
train_model_name:latest
train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/east_mv3/det_mv3_east.yml -o
pact_train:null
fpgm_train:null
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:null
null:null
##
===========================infer_params===========================
Global.save_inference_dir:./output/
Global.pretrained_model:
norm_export:tools/export_model.py -c test_tipc/configs/east_mv3/det_mv3_east.yml -o
quant_export:null
fpgm_export:null
distill_export:null
export1:null
export2:null
##
train_model:./inference/det_mv3_east/best_accuracy
infer_export:tools/export_model.py -c test_tipc/cconfigs/east_mv3/det_mv3_east.yml -o
infer_quant:False
inference:tools/infer/predict_det.py
--use_gpu:True|False
--enable_mkldnn:True|False
--cpu_threads:1|6
--rec_batch_num:1
--use_tensorrt:False|True
--precision:fp32|fp16|int8
--det_model_dir:
--image_dir:./inference/ch_det_data_50/all-sum-510/
--save_log_path:null
--benchmark:True
--det_algorithm:EAST
test_tipc/configs/east_r50_vd/det_r50_vd_east.yml
0 → 100644
浏览文件 @
5a6d266e
Global
:
use_gpu
:
true
epoch_num
:
10000
log_smooth_window
:
20
print_batch_step
:
2
save_model_dir
:
./output/east_r50_vd/
save_epoch_step
:
1000
# evaluation is run every 5000 iterations after the 4000th iteration
eval_batch_step
:
[
4000
,
5000
]
cal_metric_during_train
:
False
pretrained_model
:
checkpoints
:
save_inference_dir
:
use_visualdl
:
False
infer_img
:
save_res_path
:
./output/det_east/predicts_east.txt
Architecture
:
model_type
:
det
algorithm
:
EAST
Transform
:
Backbone
:
name
:
ResNet
layers
:
50
Neck
:
name
:
EASTFPN
model_name
:
large
Head
:
name
:
EASTHead
model_name
:
large
Loss
:
name
:
EASTLoss
Optimizer
:
name
:
Adam
beta1
:
0.9
beta2
:
0.999
lr
:
# name: Cosine
learning_rate
:
0.001
# warmup_epoch: 0
regularizer
:
name
:
'
L2'
factor
:
0
PostProcess
:
name
:
EASTPostProcess
score_thresh
:
0.8
cover_thresh
:
0.1
nms_thresh
:
0.2
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
-
EASTProcessTrain
:
image_shape
:
[
512
,
512
]
background_ratio
:
0.125
min_crop_side_ratio
:
0.1
min_text_size
:
10
-
KeepKeys
:
keep_keys
:
[
'
image'
,
'
score_map'
,
'
geo_map'
,
'
training_mask'
]
# dataloader will return list in this order
loader
:
shuffle
:
True
drop_last
:
False
batch_size_per_card
:
8
num_workers
:
8
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
Fa
:
BGR
channel_first
:
False
-
DetLabelEncode
:
# Class handling label
-
DetResizeForTest
:
limit_side_len
:
2400
limit_type
:
max
-
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
\ No newline at end of file
test_tipc/configs/east_r50_vd/train_infer_python.txt
0 → 100644
浏览文件 @
5a6d266e
===========================train_params===========================
model_name:east_r50_vd
python:python3.7
gpu_list:0
Global.use_gpu:True|True
Global.auto_cast:fp32
Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=500
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
Global.pretrained_model:null
train_model_name:latest
train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/east_r50_vd/det_r50_vd_east.yml -o
pact_train:null
fpgm_train:null
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:null
null:null
##
===========================infer_params===========================
Global.save_inference_dir:./output/
Global.pretrained_model:
norm_export:tools/export_model.py -c test_tipc/configs/east_r50_vd/det_r50_vd_east.yml -o
quant_export:null
fpgm_export:null
distill_export:null
export1:null
export2:null
##
train_model:./inference/det_mv3_east/best_accuracy
infer_export:tools/export_model.py -c test_tipc/cconfigs/east_r50_vd/det_r50_vd_east.yml -o
infer_quant:False
inference:tools/infer/predict_det.py
--use_gpu:True|False
--enable_mkldnn:True|False
--cpu_threads:1|6
--rec_batch_num:1
--use_tensorrt:False|True
--precision:fp32|fp16|int8
--det_model_dir:
--image_dir:./inference/ch_det_data_50/all-sum-510/
--save_log_path:null
--benchmark:True
--det_algorithm:EAST
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