Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
devil_zzz123
PaddleOCR
提交
c65f3308
P
PaddleOCR
项目概览
devil_zzz123
/
PaddleOCR
与 Fork 源项目一致
Fork自
PaddlePaddle / PaddleOCR
通知
2
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
PaddleOCR
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
c65f3308
编写于
5月 14, 2020
作者:
L
LDOUBLEV
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix rec bug and delete infer/predict_eval.py
上级
c15d3bb0
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
9 addition
and
167 deletion
+9
-167
tools/infer/predict_eval.py
tools/infer/predict_eval.py
+0
-92
tools/infer/predict_eval_new.py
tools/infer/predict_eval_new.py
+0
-72
tools/infer/predict_rec.py
tools/infer/predict_rec.py
+9
-3
未找到文件。
tools/infer/predict_eval.py
已删除
100755 → 0
浏览文件 @
c15d3bb0
# 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
utility
from
ppocr.utils.utility
import
initial_logger
logger
=
initial_logger
()
import
cv2
import
predict_system
import
copy
import
numpy
as
np
import
math
import
time
import
json
import
os
from
PIL
import
Image
,
ImageDraw
,
ImageFont
from
tools.infer.utility
import
draw_ocr
from
ppocr.utils.utility
import
get_image_file_list
if
__name__
==
"__main__"
:
args
=
utility
.
parse_args
()
text_sys
=
predict_system
.
TextSystem
(
args
)
if
not
os
.
path
.
exists
(
args
.
image_dir
):
raise
Exception
(
"{} not exists !!"
.
format
(
args
.
image_dir
))
image_file_list
=
get_image_file_list
(
args
.
image_dir
)
total_time_all
=
0
count
=
0
save_path
=
"./inference_output/predict.txt"
if
not
os
.
path
.
exists
(
os
.
path
.
dirname
(
save_path
)):
os
.
makedirs
(
os
.
path
.
dirname
(
save_path
))
fout
=
open
(
save_path
,
"wb"
)
for
image_name
in
image_file_list
:
image_file
=
image_name
img
=
cv2
.
imread
(
image_file
)
if
img
is
None
:
logger
.
info
(
"error in loading image:{}"
.
format
(
image_file
))
continue
count
+=
1
total_time
=
0
starttime
=
time
.
time
()
dt_boxes
,
rec_res
=
text_sys
(
img
)
elapse
=
time
.
time
()
-
starttime
total_time_all
+=
elapse
print
(
"Predict time of %s(%d): %.3fs"
%
(
image_file
,
count
,
elapse
))
dt_num
=
len
(
dt_boxes
)
bbox_list
=
[]
for
dno
in
range
(
dt_num
):
box
=
dt_boxes
[
dno
]
text
,
score
=
rec_res
[
dno
]
points
=
[]
for
tno
in
range
(
len
(
box
)):
points
.
append
([
box
[
tno
][
0
]
*
1.0
,
box
[
tno
][
1
]
*
1.0
])
bbox_list
.
append
({
"transcription"
:
text
,
"points"
:
points
,
"scores"
:
score
*
1.0
})
# draw predict box and text in image
# and save drawed image in save_path
image
=
Image
.
open
(
image_file
)
boxes
,
txts
,
scores
=
[],
[],
[]
for
dic
in
bbox_list
:
boxes
.
append
(
dic
[
'points'
])
txts
.
append
(
dic
[
'transcription'
])
scores
.
append
(
round
(
dic
[
'scores'
],
3
))
new_img
=
draw_ocr
(
image
,
boxes
,
txts
,
scores
,
draw_txt
=
True
)
draw_img_save
=
os
.
path
.
join
(
os
.
path
.
dirname
(
save_path
),
"inference_draw"
,
os
.
path
.
basename
(
image_file
))
if
not
os
.
path
.
exists
(
os
.
path
.
dirname
(
draw_img_save
)):
os
.
makedirs
(
os
.
path
.
dirname
(
draw_img_save
))
cv2
.
imwrite
(
draw_img_save
,
new_img
[:,
:,
::
-
1
])
print
(
"drawed img saved in {}"
.
format
(
draw_img_save
))
# save predicted results in txt file
otstr
=
image_name
+
"
\t
"
+
json
.
dumps
(
bbox_list
)
+
"
\n
"
fout
.
write
(
otstr
.
encode
(
'utf-8'
))
avg_time
=
total_time_all
/
count
logger
.
info
(
"avg_time: {0}"
.
format
(
avg_time
))
logger
.
info
(
"avg_fps: {0}"
.
format
(
1.0
/
avg_time
))
fout
.
close
()
tools/infer/predict_eval_new.py
已删除
100755 → 0
浏览文件 @
c15d3bb0
# 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
utility
from
ppocr.utils.utility
import
initial_logger
logger
=
initial_logger
()
import
cv2
import
predict_system
import
copy
import
numpy
as
np
import
math
import
time
import
json
import
os
if
__name__
==
"__main__"
:
args
=
utility
.
parse_args
()
text_sys
=
predict_system
.
TextSystem
(
args
)
image_file_list
=
[]
img_set_path
=
"/paddle/code/dyn/test_imgs/rctw_samples/"
image_file_list
=
os
.
listdir
(
img_set_path
)
total_time_all
=
0
count
=
0
save_path
=
"./output/predict.txt"
fout
=
open
(
save_path
,
"wb"
)
for
image_name
in
image_file_list
:
image_file
=
img_set_path
+
image_name
img
=
cv2
.
imread
(
image_file
)
if
img
is
None
:
logger
.
info
(
"error in loading image:{}"
.
format
(
image_file
))
continue
count
+=
1
starttime
=
time
.
time
()
dt_boxes
,
rec_res
=
text_sys
(
img
)
if
dt_boxes
is
None
:
count
-=
1
continue
elapse
=
time
.
time
()
-
starttime
total_time_all
+=
elapse
print
(
"Predict time of %s(%d): %.3fs"
%
(
image_file
,
count
,
elapse
))
dt_num
=
len
(
dt_boxes
)
bbox_list
=
[]
for
dno
in
range
(
dt_num
):
box
=
dt_boxes
[
dno
]
text
,
score
=
rec_res
[
dno
]
points
=
[]
for
tno
in
range
(
len
(
box
)):
points
.
append
([
box
[
tno
][
0
]
*
1.0
,
box
[
tno
][
1
]
*
1.0
])
bbox_list
.
append
({
"transcription"
:
text
,
"points"
:
points
,
"scores"
:
score
*
1.0
})
otstr
=
image_name
+
"
\t
"
+
json
.
dumps
(
bbox_list
)
+
"
\n
"
fout
.
write
(
otstr
.
encode
(
'utf-8'
))
avg_time
=
total_time_all
/
count
logger
.
info
(
"avg_time: {0}"
.
format
(
avg_time
))
logger
.
info
(
"avg_fps: {0}"
.
format
(
1.0
/
avg_time
))
fout
.
close
()
tools/infer/predict_rec.py
浏览文件 @
c65f3308
...
...
@@ -36,8 +36,9 @@ class TextRecognizer(object):
char_ops_params
[
'loss_type'
]
=
'ctc'
self
.
char_ops
=
CharacterOps
(
char_ops_params
)
def
resize_norm_img
(
self
,
img
):
def
resize_norm_img
(
self
,
img
,
max_wh_ratio
):
imgC
,
imgH
,
imgW
=
self
.
rec_image_shape
imgW
=
int
(
32
*
max_wh_ratio
)
h
=
img
.
shape
[
0
]
w
=
img
.
shape
[
1
]
ratio
=
w
/
float
(
h
)
...
...
@@ -56,14 +57,19 @@ class TextRecognizer(object):
def
__call__
(
self
,
img_list
):
img_num
=
len
(
img_list
)
batch_num
=
15
batch_num
=
30
rec_res
=
[]
predict_time
=
0
for
beg_img_no
in
range
(
0
,
img_num
,
batch_num
):
end_img_no
=
min
(
img_num
,
beg_img_no
+
batch_num
)
norm_img_batch
=
[]
max_wh_ratio
=
0
for
ino
in
range
(
beg_img_no
,
end_img_no
):
norm_img
=
self
.
resize_norm_img
(
img_list
[
ino
])
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
(
beg_img_no
,
end_img_no
):
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
)
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录