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8c87cd21
编写于
5月 29, 2020
作者:
M
MRXLT
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add ocr demo
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66039b5d
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4
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4 changed file
with
235 addition
and
1 deletion
+235
-1
python/examples/ocr/test_ocr_rec_client.py
python/examples/ocr/test_ocr_rec_client.py
+31
-0
python/examples/ocr/test_rec.jpg
python/examples/ocr/test_rec.jpg
+0
-0
python/paddle_serving_app/reader/__init__.py
python/paddle_serving_app/reader/__init__.py
+4
-1
python/paddle_serving_app/reader/ocr_reader.py
python/paddle_serving_app/reader/ocr_reader.py
+200
-0
未找到文件。
python/examples/ocr/test_ocr_rec_client.py
0 → 100644
浏览文件 @
8c87cd21
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
paddle_serving_client
import
Client
from
paddle_serving_app.reader
import
OCRReader
import
cv2
client
=
Client
()
client
.
load_client_config
(
"ocr_rec_client/serving_client_conf.prototxt"
)
client
.
connect
([
"127.0.0.1:9292"
])
image_file_list
=
[
"./test_rec.jpg"
]
img
=
cv2
.
imread
(
image_file_list
[
0
])
ocr_reader
=
OCRReader
()
feed
=
{
"image"
:
ocr_reader
.
preprocess
([
img
])}
fetch
=
[
"ctc_greedy_decoder_0.tmp_0"
,
"softmax_0.tmp_0"
]
fetch_map
=
client
.
predict
(
feed
=
feed
,
fetch
=
fetch
)
rec_res
=
ocr_reader
.
postprocess
(
fetch_map
)
print
(
image_file_list
[
0
])
print
(
rec_res
[
0
][
0
])
python/examples/ocr/test_rec.jpg
0 → 100644
浏览文件 @
8c87cd21
6.2 KB
python/paddle_serving_app/reader/__init__.py
浏览文件 @
8c87cd21
...
@@ -12,7 +12,10 @@
...
@@ -12,7 +12,10 @@
# 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.
from
.chinese_bert_reader
import
ChineseBertReader
from
.chinese_bert_reader
import
ChineseBertReader
from
.image_reader
import
ImageReader
,
File2Image
,
URL2Image
,
Sequential
,
Normalize
,
CenterCrop
,
Resize
,
Transpose
,
Div
,
RGB2BGR
,
BGR2RGB
,
RCNNPostprocess
,
SegPostprocess
,
PadStride
from
.image_reader
import
ImageReader
,
File2Image
,
URL2Image
,
Sequential
,
Normalize
from
.image_reader
import
CenterCrop
,
Resize
,
Transpose
,
Div
,
RGB2BGR
,
BGR2RGB
from
.image_reader
import
RCNNPostprocess
,
SegPostprocess
,
PadStride
from
.lac_reader
import
LACReader
from
.lac_reader
import
LACReader
from
.senta_reader
import
SentaReader
from
.senta_reader
import
SentaReader
from
.imdb_reader
import
IMDBDataset
from
.imdb_reader
import
IMDBDataset
from
.ocr_reader
import
OCRReader
python/paddle_serving_app/reader/ocr_reader.py
0 → 100644
浏览文件 @
8c87cd21
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
cv2
import
copy
import
numpy
as
np
import
math
import
re
import
sys
import
argparse
class
CharacterOps
(
object
):
""" Convert between text-label and text-index """
def
__init__
(
self
,
config
):
self
.
character_type
=
config
[
'character_type'
]
self
.
loss_type
=
config
[
'loss_type'
]
if
self
.
character_type
==
"en"
:
self
.
character_str
=
"0123456789abcdefghijklmnopqrstuvwxyz"
dict_character
=
list
(
self
.
character_str
)
elif
self
.
character_type
==
"ch"
:
character_dict_path
=
config
[
'character_dict_path'
]
self
.
character_str
=
""
with
open
(
character_dict_path
,
"rb"
)
as
fin
:
lines
=
fin
.
readlines
()
for
line
in
lines
:
line
=
line
.
decode
(
'utf-8'
).
strip
(
"
\n
"
).
strip
(
"
\r\n
"
)
self
.
character_str
+=
line
dict_character
=
list
(
self
.
character_str
)
elif
self
.
character_type
==
"en_sensitive"
:
# same with ASTER setting (use 94 char).
self
.
character_str
=
string
.
printable
[:
-
6
]
dict_character
=
list
(
self
.
character_str
)
else
:
self
.
character_str
=
None
assert
self
.
character_str
is
not
None
,
\
"Nonsupport type of the character: {}"
.
format
(
self
.
character_str
)
self
.
beg_str
=
"sos"
self
.
end_str
=
"eos"
if
self
.
loss_type
==
"attention"
:
dict_character
=
[
self
.
beg_str
,
self
.
end_str
]
+
dict_character
self
.
dict
=
{}
for
i
,
char
in
enumerate
(
dict_character
):
self
.
dict
[
char
]
=
i
self
.
character
=
dict_character
def
encode
(
self
,
text
):
"""convert text-label into text-index.
input:
text: text labels of each image. [batch_size]
output:
text: concatenated text index for CTCLoss.
[sum(text_lengths)] = [text_index_0 + text_index_1 + ... + text_index_(n - 1)]
length: length of each text. [batch_size]
"""
if
self
.
character_type
==
"en"
:
text
=
text
.
lower
()
text_list
=
[]
for
char
in
text
:
if
char
not
in
self
.
dict
:
continue
text_list
.
append
(
self
.
dict
[
char
])
text
=
np
.
array
(
text_list
)
return
text
def
decode
(
self
,
text_index
,
is_remove_duplicate
=
False
):
""" convert text-index into text-label. """
char_list
=
[]
char_num
=
self
.
get_char_num
()
if
self
.
loss_type
==
"attention"
:
beg_idx
=
self
.
get_beg_end_flag_idx
(
"beg"
)
end_idx
=
self
.
get_beg_end_flag_idx
(
"end"
)
ignored_tokens
=
[
beg_idx
,
end_idx
]
else
:
ignored_tokens
=
[
char_num
]
for
idx
in
range
(
len
(
text_index
)):
if
text_index
[
idx
]
in
ignored_tokens
:
continue
if
is_remove_duplicate
:
if
idx
>
0
and
text_index
[
idx
-
1
]
==
text_index
[
idx
]:
continue
char_list
.
append
(
self
.
character
[
text_index
[
idx
]])
text
=
''
.
join
(
char_list
)
return
text
def
get_char_num
(
self
):
return
len
(
self
.
character
)
def
get_beg_end_flag_idx
(
self
,
beg_or_end
):
if
self
.
loss_type
==
"attention"
:
if
beg_or_end
==
"beg"
:
idx
=
np
.
array
(
self
.
dict
[
self
.
beg_str
])
elif
beg_or_end
==
"end"
:
idx
=
np
.
array
(
self
.
dict
[
self
.
end_str
])
else
:
assert
False
,
"Unsupport type %s in get_beg_end_flag_idx"
\
%
beg_or_end
return
idx
else
:
err
=
"error in get_beg_end_flag_idx when using the loss %s"
\
%
(
self
.
loss_type
)
assert
False
,
err
class
OCRReader
(
object
):
def
__init__
(
self
):
args
=
self
.
parse_args
()
image_shape
=
[
int
(
v
)
for
v
in
args
.
rec_image_shape
.
split
(
","
)]
self
.
rec_image_shape
=
image_shape
self
.
character_type
=
args
.
rec_char_type
self
.
rec_batch_num
=
args
.
rec_batch_num
char_ops_params
=
{}
char_ops_params
[
"character_type"
]
=
args
.
rec_char_type
char_ops_params
[
"character_dict_path"
]
=
args
.
rec_char_dict_path
char_ops_params
[
'loss_type'
]
=
'ctc'
self
.
char_ops
=
CharacterOps
(
char_ops_params
)
def
parse_args
(
self
):
parser
=
argparse
.
ArgumentParser
()
parser
.
add_argument
(
"--rec_algorithm"
,
type
=
str
,
default
=
'CRNN'
)
parser
.
add_argument
(
"--rec_model_dir"
,
type
=
str
)
parser
.
add_argument
(
"--rec_image_shape"
,
type
=
str
,
default
=
"3, 32, 320"
)
parser
.
add_argument
(
"--rec_char_type"
,
type
=
str
,
default
=
'ch'
)
parser
.
add_argument
(
"--rec_batch_num"
,
type
=
int
,
default
=
1
)
parser
.
add_argument
(
"--rec_char_dict_path"
,
type
=
str
,
default
=
"./ppocr_keys_v1.txt"
)
return
parser
.
parse_args
()
def
resize_norm_img
(
self
,
img
,
max_wh_ratio
):
imgC
,
imgH
,
imgW
=
self
.
rec_image_shape
if
self
.
character_type
==
"ch"
:
imgW
=
int
(
32
*
max_wh_ratio
)
h
=
img
.
shape
[
0
]
w
=
img
.
shape
[
1
]
ratio
=
w
/
float
(
h
)
if
math
.
ceil
(
imgH
*
ratio
)
>
imgW
:
resized_w
=
imgW
else
:
resized_w
=
int
(
math
.
ceil
(
imgH
*
ratio
))
resized_image
=
cv2
.
resize
(
img
,
(
resized_w
,
imgH
))
resized_image
=
resized_image
.
astype
(
'float32'
)
resized_image
=
resized_image
.
transpose
((
2
,
0
,
1
))
/
255
resized_image
-=
0.5
resized_image
/=
0.5
padding_im
=
np
.
zeros
((
imgC
,
imgH
,
imgW
),
dtype
=
np
.
float32
)
padding_im
[:,
:,
0
:
resized_w
]
=
resized_image
return
padding_im
def
preprocess
(
self
,
img_list
):
img_num
=
len
(
img_list
)
norm_img_batch
=
[]
max_wh_ratio
=
0
for
ino
in
range
(
img_num
):
h
,
w
=
img_list
[
ino
].
shape
[
0
:
2
]
wh_ratio
=
w
*
1.0
/
h
max_wh_ratio
=
max
(
max_wh_ratio
,
wh_ratio
)
for
ino
in
range
(
img_num
):
norm_img
=
self
.
resize_norm_img
(
img_list
[
ino
],
max_wh_ratio
)
norm_img
=
norm_img
[
np
.
newaxis
,
:]
norm_img_batch
.
append
(
norm_img
)
norm_img_batch
=
np
.
concatenate
(
norm_img_batch
)
norm_img_batch
=
norm_img_batch
.
copy
()
return
norm_img_batch
[
0
]
def
postprocess
(
self
,
outputs
):
rec_res
=
[]
rec_idx_lod
=
outputs
[
"ctc_greedy_decoder_0.tmp_0.lod"
]
predict_lod
=
outputs
[
"softmax_0.tmp_0.lod"
]
rec_idx_batch
=
outputs
[
"ctc_greedy_decoder_0.tmp_0"
]
for
rno
in
range
(
len
(
rec_idx_lod
)
-
1
):
beg
=
rec_idx_lod
[
rno
]
end
=
rec_idx_lod
[
rno
+
1
]
rec_idx_tmp
=
rec_idx_batch
[
beg
:
end
,
0
]
preds_text
=
self
.
char_ops
.
decode
(
rec_idx_tmp
)
beg
=
predict_lod
[
rno
]
end
=
predict_lod
[
rno
+
1
]
probs
=
outputs
[
"softmax_0.tmp_0"
][
beg
:
end
,
:]
ind
=
np
.
argmax
(
probs
,
axis
=
1
)
blank
=
probs
.
shape
[
1
]
valid_ind
=
np
.
where
(
ind
!=
(
blank
-
1
))[
0
]
score
=
np
.
mean
(
probs
[
valid_ind
,
ind
[
valid_ind
]])
rec_res
.
append
([
preds_text
,
score
])
return
rec_res
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