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体验新版 GitCode,发现更多精彩内容 >>
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dc6e724e
编写于
11月 09, 2020
作者:
D
dyning
提交者:
GitHub
11月 09, 2020
浏览文件
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差异文件
Merge pull request #1139 from WenmuZhou/dygraph_rc
新增功能
上级
b863528d
b2004fe5
变更
10
隐藏空白更改
内联
并排
Showing
10 changed file
with
84 addition
and
74 deletion
+84
-74
ppocr/modeling/backbones/det_resnet_vd.py
ppocr/modeling/backbones/det_resnet_vd.py
+8
-5
ppocr/modeling/backbones/rec_resnet_vd.py
ppocr/modeling/backbones/rec_resnet_vd.py
+9
-6
ppocr/postprocess/db_postprocess.py
ppocr/postprocess/db_postprocess.py
+5
-2
ppocr/postprocess/db_postprocess_torch.py
ppocr/postprocess/db_postprocess_torch.py
+5
-2
ppocr/postprocess/rec_postprocess.py
ppocr/postprocess/rec_postprocess.py
+6
-6
ppocr/utils/save_load.py
ppocr/utils/save_load.py
+4
-4
tools/export_model.py
tools/export_model.py
+15
-9
tools/infer/predict_det.py
tools/infer/predict_det.py
+19
-9
tools/infer_det.py
tools/infer_det.py
+7
-16
tools/infer_rec.py
tools/infer_rec.py
+6
-15
未找到文件。
ppocr/modeling/backbones/det_resnet_vd.py
浏览文件 @
dc6e724e
...
@@ -19,6 +19,7 @@ from __future__ import print_function
...
@@ -19,6 +19,7 @@ from __future__ import print_function
import
paddle
import
paddle
from
paddle
import
ParamAttr
from
paddle
import
ParamAttr
import
paddle.nn
as
nn
import
paddle.nn
as
nn
import
paddle.nn.functional
as
F
__all__
=
[
"ResNet"
]
__all__
=
[
"ResNet"
]
...
@@ -37,9 +38,9 @@ class ConvBNLayer(nn.Layer):
...
@@ -37,9 +38,9 @@ class ConvBNLayer(nn.Layer):
super
(
ConvBNLayer
,
self
).
__init__
()
super
(
ConvBNLayer
,
self
).
__init__
()
self
.
is_vd_mode
=
is_vd_mode
self
.
is_vd_mode
=
is_vd_mode
self
.
_pool2d_avg
=
nn
.
AvgPool2
d
(
self
.
_pool2d_avg
=
nn
.
AvgPool2
D
(
kernel_size
=
2
,
stride
=
2
,
padding
=
0
,
ceil_mode
=
True
)
kernel_size
=
2
,
stride
=
2
,
padding
=
0
,
ceil_mode
=
True
)
self
.
_conv
=
nn
.
Conv2
d
(
self
.
_conv
=
nn
.
Conv2
D
(
in_channels
=
in_channels
,
in_channels
=
in_channels
,
out_channels
=
out_channels
,
out_channels
=
out_channels
,
kernel_size
=
kernel_size
,
kernel_size
=
kernel_size
,
...
@@ -118,7 +119,8 @@ class BottleneckBlock(nn.Layer):
...
@@ -118,7 +119,8 @@ class BottleneckBlock(nn.Layer):
short
=
inputs
short
=
inputs
else
:
else
:
short
=
self
.
short
(
inputs
)
short
=
self
.
short
(
inputs
)
y
=
paddle
.
elementwise_add
(
x
=
short
,
y
=
conv2
,
act
=
'relu'
)
y
=
paddle
.
add
(
x
=
short
,
y
=
conv2
)
y
=
F
.
relu
(
y
)
return
y
return
y
...
@@ -165,7 +167,8 @@ class BasicBlock(nn.Layer):
...
@@ -165,7 +167,8 @@ class BasicBlock(nn.Layer):
short
=
inputs
short
=
inputs
else
:
else
:
short
=
self
.
short
(
inputs
)
short
=
self
.
short
(
inputs
)
y
=
paddle
.
elementwise_add
(
x
=
short
,
y
=
conv1
,
act
=
'relu'
)
y
=
paddle
.
add
(
x
=
short
,
y
=
conv1
)
y
=
F
.
relu
(
y
)
return
y
return
y
...
@@ -214,7 +217,7 @@ class ResNet(nn.Layer):
...
@@ -214,7 +217,7 @@ class ResNet(nn.Layer):
stride
=
1
,
stride
=
1
,
act
=
'relu'
,
act
=
'relu'
,
name
=
"conv1_3"
)
name
=
"conv1_3"
)
self
.
pool2d_max
=
nn
.
MaxPool2
d
(
kernel_size
=
3
,
stride
=
2
,
padding
=
1
)
self
.
pool2d_max
=
nn
.
MaxPool2
D
(
kernel_size
=
3
,
stride
=
2
,
padding
=
1
)
self
.
stages
=
[]
self
.
stages
=
[]
self
.
out_channels
=
[]
self
.
out_channels
=
[]
...
...
ppocr/modeling/backbones/rec_resnet_vd.py
浏览文件 @
dc6e724e
...
@@ -19,6 +19,7 @@ from __future__ import print_function
...
@@ -19,6 +19,7 @@ from __future__ import print_function
import
paddle
import
paddle
from
paddle
import
ParamAttr
from
paddle
import
ParamAttr
import
paddle.nn
as
nn
import
paddle.nn
as
nn
import
paddle.nn.functional
as
F
__all__
=
[
"ResNet"
]
__all__
=
[
"ResNet"
]
...
@@ -37,9 +38,9 @@ class ConvBNLayer(nn.Layer):
...
@@ -37,9 +38,9 @@ class ConvBNLayer(nn.Layer):
super
(
ConvBNLayer
,
self
).
__init__
()
super
(
ConvBNLayer
,
self
).
__init__
()
self
.
is_vd_mode
=
is_vd_mode
self
.
is_vd_mode
=
is_vd_mode
self
.
_pool2d_avg
=
nn
.
AvgPool2
d
(
self
.
_pool2d_avg
=
nn
.
AvgPool2
D
(
kernel_size
=
stride
,
stride
=
stride
,
padding
=
0
,
ceil_mode
=
True
)
kernel_size
=
stride
,
stride
=
stride
,
padding
=
0
,
ceil_mode
=
True
)
self
.
_conv
=
nn
.
Conv2
d
(
self
.
_conv
=
nn
.
Conv2
D
(
in_channels
=
in_channels
,
in_channels
=
in_channels
,
out_channels
=
out_channels
,
out_channels
=
out_channels
,
kernel_size
=
kernel_size
,
kernel_size
=
kernel_size
,
...
@@ -119,7 +120,8 @@ class BottleneckBlock(nn.Layer):
...
@@ -119,7 +120,8 @@ class BottleneckBlock(nn.Layer):
short
=
inputs
short
=
inputs
else
:
else
:
short
=
self
.
short
(
inputs
)
short
=
self
.
short
(
inputs
)
y
=
paddle
.
elementwise_add
(
x
=
short
,
y
=
conv2
,
act
=
'relu'
)
y
=
paddle
.
add
(
x
=
short
,
y
=
conv2
)
y
=
F
.
relu
(
y
)
return
y
return
y
...
@@ -166,7 +168,8 @@ class BasicBlock(nn.Layer):
...
@@ -166,7 +168,8 @@ class BasicBlock(nn.Layer):
short
=
inputs
short
=
inputs
else
:
else
:
short
=
self
.
short
(
inputs
)
short
=
self
.
short
(
inputs
)
y
=
paddle
.
elementwise_add
(
x
=
short
,
y
=
conv1
,
act
=
'relu'
)
y
=
paddle
.
add
(
x
=
short
,
y
=
conv1
)
y
=
F
.
relu
(
y
)
return
y
return
y
...
@@ -215,7 +218,7 @@ class ResNet(nn.Layer):
...
@@ -215,7 +218,7 @@ class ResNet(nn.Layer):
stride
=
1
,
stride
=
1
,
act
=
'relu'
,
act
=
'relu'
,
name
=
"conv1_3"
)
name
=
"conv1_3"
)
self
.
pool2d_max
=
nn
.
MaxPool2
d
(
kernel_size
=
3
,
stride
=
2
,
padding
=
1
)
self
.
pool2d_max
=
nn
.
MaxPool2
D
(
kernel_size
=
3
,
stride
=
2
,
padding
=
1
)
self
.
block_list
=
[]
self
.
block_list
=
[]
if
layers
>=
50
:
if
layers
>=
50
:
...
@@ -270,7 +273,7 @@ class ResNet(nn.Layer):
...
@@ -270,7 +273,7 @@ class ResNet(nn.Layer):
shortcut
=
True
shortcut
=
True
self
.
block_list
.
append
(
basic_block
)
self
.
block_list
.
append
(
basic_block
)
self
.
out_channels
=
num_filters
[
block
]
self
.
out_channels
=
num_filters
[
block
]
self
.
out_pool
=
nn
.
MaxPool2
d
(
kernel_size
=
2
,
stride
=
2
,
padding
=
0
)
self
.
out_pool
=
nn
.
MaxPool2
D
(
kernel_size
=
2
,
stride
=
2
,
padding
=
0
)
def
forward
(
self
,
inputs
):
def
forward
(
self
,
inputs
):
y
=
self
.
conv1_1
(
inputs
)
y
=
self
.
conv1_1
(
inputs
)
...
...
ppocr/postprocess/db_postprocess.py
浏览文件 @
dc6e724e
...
@@ -18,6 +18,7 @@ from __future__ import print_function
...
@@ -18,6 +18,7 @@ from __future__ import print_function
import
numpy
as
np
import
numpy
as
np
import
cv2
import
cv2
import
paddle
from
shapely.geometry
import
Polygon
from
shapely.geometry
import
Polygon
import
pyclipper
import
pyclipper
...
@@ -130,7 +131,9 @@ class DBPostProcess(object):
...
@@ -130,7 +131,9 @@ class DBPostProcess(object):
return
cv2
.
mean
(
bitmap
[
ymin
:
ymax
+
1
,
xmin
:
xmax
+
1
],
mask
)[
0
]
return
cv2
.
mean
(
bitmap
[
ymin
:
ymax
+
1
,
xmin
:
xmax
+
1
],
mask
)[
0
]
def
__call__
(
self
,
pred
,
shape_list
):
def
__call__
(
self
,
pred
,
shape_list
):
pred
=
pred
.
numpy
()[:,
0
,
:,
:]
if
isinstance
(
pred
,
paddle
.
Tensor
):
pred
=
pred
.
numpy
()
pred
=
pred
[:,
0
,
:,
:]
segmentation
=
pred
>
self
.
thresh
segmentation
=
pred
>
self
.
thresh
boxes_batch
=
[]
boxes_batch
=
[]
...
@@ -140,4 +143,4 @@ class DBPostProcess(object):
...
@@ -140,4 +143,4 @@ class DBPostProcess(object):
pred
[
batch_index
],
segmentation
[
batch_index
],
width
,
height
)
pred
[
batch_index
],
segmentation
[
batch_index
],
width
,
height
)
boxes_batch
.
append
({
'points'
:
boxes
})
boxes_batch
.
append
({
'points'
:
boxes
})
return
boxes_batch
return
boxes_batch
\ No newline at end of file
ppocr/postprocess/db_postprocess_torch.py
浏览文件 @
dc6e724e
import
cv2
import
cv2
import
paddle
import
numpy
as
np
import
numpy
as
np
import
pyclipper
import
pyclipper
from
shapely.geometry
import
Polygon
from
shapely.geometry
import
Polygon
...
@@ -23,7 +24,9 @@ class DBPostProcess():
...
@@ -23,7 +24,9 @@ class DBPostProcess():
pred:
pred:
binary: text region segmentation map, with shape (N, 1,H, W)
binary: text region segmentation map, with shape (N, 1,H, W)
'''
'''
pred
=
pred
.
numpy
()[:,
0
,
:,
:]
if
isinstance
(
pred
,
paddle
.
Tensor
):
pred
=
pred
.
numpy
()
pred
=
pred
[:,
0
,
:,
:]
segmentation
=
self
.
binarize
(
pred
)
segmentation
=
self
.
binarize
(
pred
)
batch_out
=
[]
batch_out
=
[]
for
batch_index
in
range
(
pred
.
shape
[
0
]):
for
batch_index
in
range
(
pred
.
shape
[
0
]):
...
@@ -130,4 +133,4 @@ class DBPostProcess():
...
@@ -130,4 +133,4 @@ class DBPostProcess():
box
[:,
0
]
=
box
[:,
0
]
-
xmin
box
[:,
0
]
=
box
[:,
0
]
-
xmin
box
[:,
1
]
=
box
[:,
1
]
-
ymin
box
[:,
1
]
=
box
[:,
1
]
-
ymin
cv2
.
fillPoly
(
mask
,
box
.
reshape
(
1
,
-
1
,
2
).
astype
(
np
.
int32
),
1
)
cv2
.
fillPoly
(
mask
,
box
.
reshape
(
1
,
-
1
,
2
).
astype
(
np
.
int32
),
1
)
return
cv2
.
mean
(
bitmap
[
ymin
:
ymax
+
1
,
xmin
:
xmax
+
1
],
mask
)[
0
]
return
cv2
.
mean
(
bitmap
[
ymin
:
ymax
+
1
,
xmin
:
xmax
+
1
],
mask
)[
0
]
\ No newline at end of file
ppocr/postprocess/rec_postprocess.py
浏览文件 @
dc6e724e
...
@@ -100,9 +100,10 @@ class CTCLabelDecode(BaseRecLabelDecode):
...
@@ -100,9 +100,10 @@ class CTCLabelDecode(BaseRecLabelDecode):
character_type
,
use_space_char
)
character_type
,
use_space_char
)
def
__call__
(
self
,
preds
,
label
=
None
,
*
args
,
**
kwargs
):
def
__call__
(
self
,
preds
,
label
=
None
,
*
args
,
**
kwargs
):
if
isinstance
(
preds
,
paddle
.
Tensor
):
preds
=
preds
.
numpy
()
# out = self.decode_preds(preds)
# out = self.decode_preds(preds)
preds
=
F
.
softmax
(
preds
,
axis
=
2
).
numpy
()
preds_idx
=
preds
.
argmax
(
axis
=
2
)
preds_idx
=
preds
.
argmax
(
axis
=
2
)
preds_prob
=
preds
.
max
(
axis
=
2
)
preds_prob
=
preds
.
max
(
axis
=
2
)
text
=
self
.
decode
(
preds_idx
,
preds_prob
)
text
=
self
.
decode
(
preds_idx
,
preds_prob
)
...
@@ -116,19 +117,18 @@ class CTCLabelDecode(BaseRecLabelDecode):
...
@@ -116,19 +117,18 @@ class CTCLabelDecode(BaseRecLabelDecode):
return
dict_character
return
dict_character
def
decode_preds
(
self
,
preds
):
def
decode_preds
(
self
,
preds
):
probs
=
F
.
softmax
(
preds
,
axis
=
2
).
numpy
()
probs_ind
=
np
.
argmax
(
preds
,
axis
=
2
)
probs_ind
=
np
.
argmax
(
probs
,
axis
=
2
)
B
,
N
,
_
=
preds
.
shape
B
,
N
,
_
=
preds
.
shape
l
=
np
.
ones
(
B
).
astype
(
np
.
int64
)
*
N
l
=
np
.
ones
(
B
).
astype
(
np
.
int64
)
*
N
length
=
paddle
.
to_
variable
(
l
)
length
=
paddle
.
to_
tensor
(
l
)
out
=
paddle
.
fluid
.
layers
.
ctc_greedy_decoder
(
preds
,
0
,
length
)
out
=
paddle
.
fluid
.
layers
.
ctc_greedy_decoder
(
preds
,
0
,
length
)
batch_res
=
[
batch_res
=
[
x
[:
idx
[
0
]]
for
x
,
idx
in
zip
(
out
[
0
].
numpy
(),
out
[
1
].
numpy
())
x
[:
idx
[
0
]]
for
x
,
idx
in
zip
(
out
[
0
].
numpy
(),
out
[
1
].
numpy
())
]
]
result_list
=
[]
result_list
=
[]
for
sample_idx
,
ind
,
prob
in
zip
(
batch_res
,
probs_ind
,
pr
ob
s
):
for
sample_idx
,
ind
,
prob
in
zip
(
batch_res
,
probs_ind
,
pr
ed
s
):
char_list
=
[
self
.
character
[
idx
]
for
idx
in
sample_idx
]
char_list
=
[
self
.
character
[
idx
]
for
idx
in
sample_idx
]
valid_ind
=
np
.
where
(
ind
!=
0
)[
0
]
valid_ind
=
np
.
where
(
ind
!=
0
)[
0
]
if
len
(
valid_ind
)
==
0
:
if
len
(
valid_ind
)
==
0
:
...
@@ -172,4 +172,4 @@ class AttnLabelDecode(BaseRecLabelDecode):
...
@@ -172,4 +172,4 @@ class AttnLabelDecode(BaseRecLabelDecode):
else
:
else
:
assert
False
,
"unsupport type %s in get_beg_end_flag_idx"
\
assert
False
,
"unsupport type %s in get_beg_end_flag_idx"
\
%
beg_or_end
%
beg_or_end
return
idx
return
idx
\ No newline at end of file
ppocr/utils/save_load.py
浏览文件 @
dc6e724e
...
@@ -68,11 +68,11 @@ def load_dygraph_pretrain(model, logger, path=None, load_static_weights=False):
...
@@ -68,11 +68,11 @@ def load_dygraph_pretrain(model, logger, path=None, load_static_weights=False):
param_state_dict
[
key
]
=
pre_state_dict
[
weight_name
]
param_state_dict
[
key
]
=
pre_state_dict
[
weight_name
]
else
:
else
:
param_state_dict
[
key
]
=
model_dict
[
key
]
param_state_dict
[
key
]
=
model_dict
[
key
]
model
.
set_dict
(
param_state_dict
)
model
.
set_
state_
dict
(
param_state_dict
)
return
return
param_state_dict
,
optim_state_dict
=
paddle
.
load
(
path
)
param_state_dict
=
paddle
.
load
(
path
+
'.pdparams'
)
model
.
set_dict
(
param_state_dict
)
model
.
set_
state_
dict
(
param_state_dict
)
return
return
...
@@ -91,7 +91,7 @@ def init_model(config, model, logger, optimizer=None, lr_scheduler=None):
...
@@ -91,7 +91,7 @@ def init_model(config, model, logger, optimizer=None, lr_scheduler=None):
"Given dir {}.pdopt not exist."
.
format
(
checkpoints
)
"Given dir {}.pdopt not exist."
.
format
(
checkpoints
)
para_dict
=
paddle
.
load
(
checkpoints
+
'.pdparams'
)
para_dict
=
paddle
.
load
(
checkpoints
+
'.pdparams'
)
opti_dict
=
paddle
.
load
(
checkpoints
+
'.pdopt'
)
opti_dict
=
paddle
.
load
(
checkpoints
+
'.pdopt'
)
model
.
set_dict
(
para_dict
)
model
.
set_
state_
dict
(
para_dict
)
if
optimizer
is
not
None
:
if
optimizer
is
not
None
:
optimizer
.
set_state_dict
(
opti_dict
)
optimizer
.
set_state_dict
(
opti_dict
)
...
...
tools/export_model.py
浏览文件 @
dc6e724e
...
@@ -12,6 +12,13 @@
...
@@ -12,6 +12,13 @@
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
import
os
import
sys
__dir__
=
os
.
path
.
dirname
(
os
.
path
.
abspath
(
__file__
))
sys
.
path
.
append
(
__dir__
)
sys
.
path
.
append
(
os
.
path
.
abspath
(
os
.
path
.
join
(
__dir__
,
'..'
)))
import
argparse
import
argparse
import
paddle
import
paddle
...
@@ -20,14 +27,11 @@ from paddle.jit import to_static
...
@@ -20,14 +27,11 @@ from paddle.jit import to_static
from
ppocr.modeling.architectures
import
build_model
from
ppocr.modeling.architectures
import
build_model
from
ppocr.postprocess
import
build_post_process
from
ppocr.postprocess
import
build_post_process
from
ppocr.utils.save_load
import
init_model
from
ppocr.utils.save_load
import
init_model
from
ppocr.utils.logging
import
get_logger
from
tools.program
import
load_config
from
tools.program
import
load_config
from
tools.program
import
merge_config
def
parse_args
():
def
parse_args
():
def
str2bool
(
v
):
return
v
.
lower
()
in
(
"true"
,
"t"
,
"1"
)
parser
=
argparse
.
ArgumentParser
()
parser
=
argparse
.
ArgumentParser
()
parser
.
add_argument
(
"-c"
,
"--config"
,
help
=
"configuration file to use"
)
parser
.
add_argument
(
"-c"
,
"--config"
,
help
=
"configuration file to use"
)
parser
.
add_argument
(
parser
.
add_argument
(
...
@@ -43,7 +47,7 @@ class Model(paddle.nn.Layer):
...
@@ -43,7 +47,7 @@ class Model(paddle.nn.Layer):
# Please modify the 'shape' according to actual needs
# Please modify the 'shape' according to actual needs
@
to_static
(
input_spec
=
[
@
to_static
(
input_spec
=
[
paddle
.
static
.
InputSpec
(
paddle
.
static
.
InputSpec
(
shape
=
[
None
,
3
,
32
,
None
],
dtype
=
'float32'
)
shape
=
[
None
,
3
,
640
,
640
],
dtype
=
'float32'
)
])
])
def
forward
(
self
,
inputs
):
def
forward
(
self
,
inputs
):
x
=
self
.
pre_model
(
inputs
)
x
=
self
.
pre_model
(
inputs
)
...
@@ -53,14 +57,13 @@ class Model(paddle.nn.Layer):
...
@@ -53,14 +57,13 @@ class Model(paddle.nn.Layer):
def
main
():
def
main
():
FLAGS
=
parse_args
()
FLAGS
=
parse_args
()
config
=
load_config
(
FLAGS
.
config
)
config
=
load_config
(
FLAGS
.
config
)
merge_config
(
FLAGS
.
opt
)
logger
=
get_logger
()
# build post process
# build post process
post_process_class
=
build_post_process
(
config
[
'PostProcess'
],
post_process_class
=
build_post_process
(
config
[
'PostProcess'
],
config
[
'Global'
])
config
[
'Global'
])
# build model
# build model
#for rec algorithm
#
for rec algorithm
if
hasattr
(
post_process_class
,
'character'
):
if
hasattr
(
post_process_class
,
'character'
):
char_num
=
len
(
getattr
(
post_process_class
,
'character'
))
char_num
=
len
(
getattr
(
post_process_class
,
'character'
))
config
[
'Architecture'
][
"Head"
][
'out_channels'
]
=
char_num
config
[
'Architecture'
][
"Head"
][
'out_channels'
]
=
char_num
...
@@ -69,7 +72,10 @@ def main():
...
@@ -69,7 +72,10 @@ def main():
model
.
eval
()
model
.
eval
()
model
=
Model
(
model
)
model
=
Model
(
model
)
paddle
.
jit
.
save
(
model
,
FLAGS
.
output_path
)
save_path
=
'{}/{}'
.
format
(
FLAGS
.
output_path
,
config
[
'Architecture'
][
'model_type'
])
paddle
.
jit
.
save
(
model
,
save_path
)
logger
.
info
(
'inference model is saved to {}'
.
format
(
save_path
))
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
...
...
tools/infer/predict_det.py
浏览文件 @
dc6e724e
...
@@ -22,7 +22,6 @@ import cv2
...
@@ -22,7 +22,6 @@ import cv2
import
numpy
as
np
import
numpy
as
np
import
time
import
time
import
sys
import
sys
import
paddle
import
paddle
import
tools.infer.utility
as
utility
import
tools.infer.utility
as
utility
...
@@ -39,7 +38,7 @@ class TextDetector(object):
...
@@ -39,7 +38,7 @@ class TextDetector(object):
postprocess_params
=
{}
postprocess_params
=
{}
if
self
.
det_algorithm
==
"DB"
:
if
self
.
det_algorithm
==
"DB"
:
pre_process_list
=
[{
pre_process_list
=
[{
'ResizeForTest'
:
{
'
Det
ResizeForTest'
:
{
'limit_side_len'
:
args
.
det_limit_side_len
,
'limit_side_len'
:
args
.
det_limit_side_len
,
'limit_type'
:
args
.
det_limit_type
'limit_type'
:
args
.
det_limit_type
}
}
...
@@ -53,7 +52,7 @@ class TextDetector(object):
...
@@ -53,7 +52,7 @@ class TextDetector(object):
},
{
},
{
'ToCHWImage'
:
None
'ToCHWImage'
:
None
},
{
},
{
'
k
eepKeys'
:
{
'
K
eepKeys'
:
{
'keep_keys'
:
[
'image'
,
'shape'
]
'keep_keys'
:
[
'image'
,
'shape'
]
}
}
}]
}]
...
@@ -68,8 +67,9 @@ class TextDetector(object):
...
@@ -68,8 +67,9 @@ class TextDetector(object):
self
.
preprocess_op
=
create_operators
(
pre_process_list
)
self
.
preprocess_op
=
create_operators
(
pre_process_list
)
self
.
postprocess_op
=
build_post_process
(
postprocess_params
)
self
.
postprocess_op
=
build_post_process
(
postprocess_params
)
self
.
predictor
=
paddle
.
jit
.
load
(
args
.
det_model_dir
)
self
.
predictor
,
self
.
input_tensor
,
self
.
output_tensors
=
utility
.
create_predictor
(
self
.
predictor
.
eval
()
args
,
'det'
,
logger
)
# paddle.jit.load(args.det_model_dir)
# self.predictor.eval()
def
order_points_clockwise
(
self
,
pts
):
def
order_points_clockwise
(
self
,
pts
):
"""
"""
...
@@ -133,11 +133,23 @@ class TextDetector(object):
...
@@ -133,11 +133,23 @@ class TextDetector(object):
return
None
,
0
return
None
,
0
img
=
np
.
expand_dims
(
img
,
axis
=
0
)
img
=
np
.
expand_dims
(
img
,
axis
=
0
)
shape_list
=
np
.
expand_dims
(
shape_list
,
axis
=
0
)
shape_list
=
np
.
expand_dims
(
shape_list
,
axis
=
0
)
img
=
img
.
copy
()
starttime
=
time
.
time
()
starttime
=
time
.
time
()
preds
=
self
.
predictor
(
img
)
if
self
.
use_zero_copy_run
:
self
.
input_tensor
.
copy_from_cpu
(
img
)
self
.
predictor
.
zero_copy_run
()
else
:
im
=
paddle
.
fluid
.
core
.
PaddleTensor
(
img
)
self
.
predictor
.
run
([
im
])
outputs
=
[]
for
output_tensor
in
self
.
output_tensors
:
output
=
output_tensor
.
copy_to_cpu
()
outputs
.
append
(
output
)
preds
=
outputs
[
0
]
# preds = self.predictor(img)
post_result
=
self
.
postprocess_op
(
preds
,
shape_list
)
post_result
=
self
.
postprocess_op
(
preds
,
shape_list
)
dt_boxes
=
post_result
[
0
][
'points'
]
dt_boxes
=
post_result
[
0
][
'points'
]
dt_boxes
=
self
.
filter_tag_det_res
(
dt_boxes
,
ori_im
.
shape
)
dt_boxes
=
self
.
filter_tag_det_res
(
dt_boxes
,
ori_im
.
shape
)
elapse
=
time
.
time
()
-
starttime
elapse
=
time
.
time
()
-
starttime
...
@@ -146,8 +158,6 @@ class TextDetector(object):
...
@@ -146,8 +158,6 @@ class TextDetector(object):
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
args
=
utility
.
parse_args
()
args
=
utility
.
parse_args
()
place
=
paddle
.
CPUPlace
()
paddle
.
disable_static
(
place
)
image_file_list
=
get_image_file_list
(
args
.
image_dir
)
image_file_list
=
get_image_file_list
(
args
.
image_dir
)
logger
=
get_logger
()
logger
=
get_logger
()
...
...
tools/infer_det.py
浏览文件 @
dc6e724e
...
@@ -29,12 +29,11 @@ import cv2
...
@@ -29,12 +29,11 @@ import cv2
import
json
import
json
import
paddle
import
paddle
from
ppocr.utils.logging
import
get_logger
from
ppocr.data
import
create_operators
,
transform
from
ppocr.data
import
create_operators
,
transform
from
ppocr.modeling
import
build_model
from
ppocr.modeling
.architectures
import
build_model
from
ppocr.postprocess
import
build_post_process
from
ppocr.postprocess
import
build_post_process
from
ppocr.utils.save_load
import
init_model
from
ppocr.utils.save_load
import
init_model
from
ppocr.utils.utility
import
print_dict
,
get_image_file_list
from
ppocr.utils.utility
import
get_image_file_list
import
tools.program
as
program
import
tools.program
as
program
...
@@ -67,11 +66,11 @@ def main():
...
@@ -67,11 +66,11 @@ def main():
# create data ops
# create data ops
transforms
=
[]
transforms
=
[]
for
op
in
config
[
'E
VAL
'
][
'dataset'
][
'transforms'
]:
for
op
in
config
[
'E
val
'
][
'dataset'
][
'transforms'
]:
op_name
=
list
(
op
)[
0
]
op_name
=
list
(
op
)[
0
]
if
'Label'
in
op_name
:
if
'Label'
in
op_name
:
continue
continue
elif
op_name
==
'
k
eepKeys'
:
elif
op_name
==
'
K
eepKeys'
:
op
[
op_name
][
'keep_keys'
]
=
[
'image'
,
'shape'
]
op
[
op_name
][
'keep_keys'
]
=
[
'image'
,
'shape'
]
transforms
.
append
(
op
)
transforms
.
append
(
op
)
...
@@ -92,8 +91,7 @@ def main():
...
@@ -92,8 +91,7 @@ def main():
images
=
np
.
expand_dims
(
batch
[
0
],
axis
=
0
)
images
=
np
.
expand_dims
(
batch
[
0
],
axis
=
0
)
shape_list
=
np
.
expand_dims
(
batch
[
1
],
axis
=
0
)
shape_list
=
np
.
expand_dims
(
batch
[
1
],
axis
=
0
)
images
=
paddle
.
to_variable
(
images
)
images
=
paddle
.
to_tensor
(
images
)
print
(
images
.
shape
)
preds
=
model
(
images
)
preds
=
model
(
images
)
post_result
=
post_process_class
(
preds
,
shape_list
)
post_result
=
post_process_class
(
preds
,
shape_list
)
boxes
=
post_result
[
0
][
'points'
]
boxes
=
post_result
[
0
][
'points'
]
...
@@ -109,14 +107,7 @@ def main():
...
@@ -109,14 +107,7 @@ def main():
draw_det_res
(
boxes
,
config
,
src_img
,
file
)
draw_det_res
(
boxes
,
config
,
src_img
,
file
)
logger
.
info
(
"success!"
)
logger
.
info
(
"success!"
)
# save inference model
# paddle.jit.save(model, 'output/model')
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
place
,
config
=
program
.
preprocess
()
config
,
device
,
logger
,
vdl_writer
=
program
.
preprocess
()
paddle
.
disable_static
(
place
)
main
()
\ No newline at end of file
logger
=
get_logger
()
print_dict
(
config
,
logger
)
main
()
tools/infer_rec.py
浏览文件 @
dc6e724e
...
@@ -27,12 +27,11 @@ sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
...
@@ -27,12 +27,11 @@ sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
import
paddle
import
paddle
from
ppocr.utils.logging
import
get_logger
from
ppocr.data
import
create_operators
,
transform
from
ppocr.data
import
create_operators
,
transform
from
ppocr.modeling
import
build_model
from
ppocr.modeling
.architectures
import
build_model
from
ppocr.postprocess
import
build_post_process
from
ppocr.postprocess
import
build_post_process
from
ppocr.utils.save_load
import
init_model
from
ppocr.utils.save_load
import
init_model
from
ppocr.utils.utility
import
print_dict
,
get_image_file_list
from
ppocr.utils.utility
import
get_image_file_list
import
tools.program
as
program
import
tools.program
as
program
...
@@ -54,13 +53,13 @@ def main():
...
@@ -54,13 +53,13 @@ def main():
# create data ops
# create data ops
transforms
=
[]
transforms
=
[]
for
op
in
config
[
'E
VAL
'
][
'dataset'
][
'transforms'
]:
for
op
in
config
[
'E
val
'
][
'dataset'
][
'transforms'
]:
op_name
=
list
(
op
)[
0
]
op_name
=
list
(
op
)[
0
]
if
'Label'
in
op_name
:
if
'Label'
in
op_name
:
continue
continue
elif
op_name
in
[
'RecResizeImg'
]:
elif
op_name
in
[
'RecResizeImg'
]:
op
[
op_name
][
'infer_mode'
]
=
True
op
[
op_name
][
'infer_mode'
]
=
True
elif
op_name
==
'
k
eepKeys'
:
elif
op_name
==
'
K
eepKeys'
:
op
[
op_name
][
'keep_keys'
]
=
[
'image'
]
op
[
op_name
][
'keep_keys'
]
=
[
'image'
]
transforms
.
append
(
op
)
transforms
.
append
(
op
)
global_config
[
'infer_mode'
]
=
True
global_config
[
'infer_mode'
]
=
True
...
@@ -75,22 +74,14 @@ def main():
...
@@ -75,22 +74,14 @@ def main():
batch
=
transform
(
data
,
ops
)
batch
=
transform
(
data
,
ops
)
images
=
np
.
expand_dims
(
batch
[
0
],
axis
=
0
)
images
=
np
.
expand_dims
(
batch
[
0
],
axis
=
0
)
images
=
paddle
.
to_
variable
(
images
)
images
=
paddle
.
to_
tensor
(
images
)
preds
=
model
(
images
)
preds
=
model
(
images
)
post_result
=
post_process_class
(
preds
)
post_result
=
post_process_class
(
preds
)
for
rec_reuslt
in
post_result
:
for
rec_reuslt
in
post_result
:
logger
.
info
(
'
\t
result: {}'
.
format
(
rec_reuslt
))
logger
.
info
(
'
\t
result: {}'
.
format
(
rec_reuslt
))
logger
.
info
(
"success!"
)
logger
.
info
(
"success!"
)
# save inference model
# currently, paddle.jit.to_static not support rnn
# paddle.jit.save(model, 'output/rec/model')
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
place
,
config
=
program
.
preprocess
()
config
,
device
,
logger
,
vdl_writer
=
program
.
preprocess
()
paddle
.
disable_static
(
place
)
logger
=
get_logger
()
print_dict
(
config
,
logger
)
main
()
main
()
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