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PaddleOCR
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ec7a7f00
编写于
11月 04, 2021
作者:
L
LDOUBLEV
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电子邮件补丁
差异文件
add refer to db
上级
0c8acf90
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1 changed file
with
13 addition
and
8 deletion
+13
-8
ppocr/postprocess/db_postprocess.py
ppocr/postprocess/db_postprocess.py
+13
-8
未找到文件。
ppocr/postprocess/db_postprocess.py
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...
@@ -11,7 +11,10 @@
...
@@ -11,7 +11,10 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# 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.
"""
This code is refer from:
https://github.com/WenmuZhou/DBNet.pytorch/blob/master/post_processing/seg_detector_representer.py
"""
from
__future__
import
absolute_import
from
__future__
import
absolute_import
from
__future__
import
division
from
__future__
import
division
from
__future__
import
print_function
from
__future__
import
print_function
...
@@ -190,7 +193,8 @@ class DBPostProcess(object):
...
@@ -190,7 +193,8 @@ class DBPostProcess(object):
class
DistillationDBPostProcess
(
object
):
class
DistillationDBPostProcess
(
object
):
def
__init__
(
self
,
model_name
=
[
"student"
],
def
__init__
(
self
,
model_name
=
[
"student"
],
key
=
None
,
key
=
None
,
thresh
=
0.3
,
thresh
=
0.3
,
box_thresh
=
0.6
,
box_thresh
=
0.6
,
...
@@ -201,12 +205,13 @@ class DistillationDBPostProcess(object):
...
@@ -201,12 +205,13 @@ class DistillationDBPostProcess(object):
**
kwargs
):
**
kwargs
):
self
.
model_name
=
model_name
self
.
model_name
=
model_name
self
.
key
=
key
self
.
key
=
key
self
.
post_process
=
DBPostProcess
(
thresh
=
thresh
,
self
.
post_process
=
DBPostProcess
(
box_thresh
=
box_thresh
,
thresh
=
thresh
,
max_candidates
=
max_candidates
,
box_thresh
=
box_thresh
,
unclip_ratio
=
unclip_ratio
,
max_candidates
=
max_candidates
,
use_dilation
=
use_dilation
,
unclip_ratio
=
unclip_ratio
,
score_mode
=
score_mode
)
use_dilation
=
use_dilation
,
score_mode
=
score_mode
)
def
__call__
(
self
,
predicts
,
shape_list
):
def
__call__
(
self
,
predicts
,
shape_list
):
results
=
{}
results
=
{}
...
...
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