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PaddleOCR
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22838d50
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22838d50
编写于
9月 03, 2021
作者:
qq_25193841
浏览文件
操作
浏览文件
下载
差异文件
Merge remote-tracking branch 'origin/dygraph' into dygraph
上级
fd62f278
03b7daa5
变更
10
隐藏空白更改
内联
并排
Showing
10 changed file
with
259 addition
and
18 deletion
+259
-18
deploy/cpp_infer/CMakeLists.txt
deploy/cpp_infer/CMakeLists.txt
+3
-3
deploy/cpp_infer/external-cmake/auto-log.cmake
deploy/cpp_infer/external-cmake/auto-log.cmake
+9
-10
deploy/cpp_infer/src/main.cpp
deploy/cpp_infer/src/main.cpp
+1
-0
tests/compare_results.py
tests/compare_results.py
+133
-0
tests/results/det_results_gpu_fp32.txt
tests/results/det_results_gpu_fp32.txt
+49
-0
tests/results/det_results_gpu_trt_fp16.txt
tests/results/det_results_gpu_trt_fp16.txt
+49
-0
tools/export_model.py
tools/export_model.py
+3
-0
tools/infer/predict_det.py
tools/infer/predict_det.py
+10
-3
tools/infer/utility.py
tools/infer/utility.py
+1
-1
tools/infer_rec.py
tools/infer_rec.py
+1
-1
未找到文件。
deploy/cpp_infer/CMakeLists.txt
浏览文件 @
22838d50
project
(
ppocr CXX C
)
cmake_minimum_required
(
VERSION 3.14
)
option
(
WITH_MKL
"Compile demo with MKL/OpenBlas support, default use MKL."
ON
)
option
(
WITH_GPU
"Compile demo with GPU/CPU, default use CPU."
OFF
)
...
...
@@ -206,13 +207,12 @@ endif()
set
(
DEPS
${
DEPS
}
${
OpenCV_LIBS
}
)
include
(
ExternalProjec
t
)
include
(
FetchConten
t
)
include
(
external-cmake/auto-log.cmake
)
include_directories
(
${
CMAKE_CURRENT_BINARY_DIR
}
/autolog/src/extern_Autolog/auto_log
)
include_directories
(
${
FETCHCONTENT_BASE_DIR
}
/extern_autolog-src
)
AUX_SOURCE_DIRECTORY
(
./src SRCS
)
add_executable
(
${
DEMO_NAME
}
${
SRCS
}
)
target_link_libraries
(
${
DEMO_NAME
}
${
DEPS
}
)
if
(
WIN32 AND WITH_MKL
)
...
...
deploy/cpp_infer/external-cmake/auto-log.cmake
浏览文件 @
22838d50
find_package
(
Git REQUIRED
)
message
(
"
${
CMAKE_BUILD_TYPE
}
"
)
include
(
FetchContent
)
set
(
AUTOLOG_REPOSITORY https://github.com/LDOUBLEV/AutoLog.git
)
SET
(
AUTOLOG_INSTALL_DIR
${
CMAKE_CURRENT_BINARY_DIR
}
/install/Autolog
)
set
(
FETCHCONTENT_BASE_DIR
"
${
CMAKE_CURRENT_BINARY_DIR
}
/third-party"
)
ExternalProject_Add
(
extern_Autolog
PREFIX autolog
GIT_REPOSITORY
${
AUTOLOG_REPOSITORY
}
GIT_TAG main
DOWNLOAD_NO_EXTRACT True
INSTALL_COMMAND cmake -E echo
"Skipping install step."
FetchContent_Declare
(
extern_Autolog
PREFIX autolog
GIT_REPOSITORY https://github.com/LDOUBLEV/AutoLog.git
GIT_TAG main
)
FetchContent_MakeAvailable
(
extern_Autolog
)
deploy/cpp_infer/src/main.cpp
浏览文件 @
22838d50
...
...
@@ -35,6 +35,7 @@
#include <sys/stat.h>
#include <gflags/gflags.h>
#include "auto_log/autolog.h"
DEFINE_bool
(
use_gpu
,
false
,
"Infering with GPU or CPU."
);
DEFINE_int32
(
gpu_id
,
0
,
"Device id of GPU to execute."
);
...
...
tests/compare_results.py
0 → 100644
浏览文件 @
22838d50
import
numpy
as
np
import
os
import
subprocess
import
json
import
argparse
import
glob
def
init_args
():
parser
=
argparse
.
ArgumentParser
()
# params for testing assert allclose
parser
.
add_argument
(
"--atol"
,
type
=
float
,
default
=
1e-3
)
parser
.
add_argument
(
"--rtol"
,
type
=
float
,
default
=
1e-3
)
parser
.
add_argument
(
"--gt_file"
,
type
=
str
,
default
=
""
)
parser
.
add_argument
(
"--log_file"
,
type
=
str
,
default
=
""
)
parser
.
add_argument
(
"--precision"
,
type
=
str
,
default
=
"fp32"
)
return
parser
def
parse_args
():
parser
=
init_args
()
return
parser
.
parse_args
()
def
run_shell_command
(
cmd
):
p
=
subprocess
.
Popen
(
cmd
,
stdout
=
subprocess
.
PIPE
,
stderr
=
subprocess
.
PIPE
,
shell
=
True
)
out
,
err
=
p
.
communicate
()
if
p
.
returncode
==
0
:
return
out
.
decode
(
'utf-8'
)
else
:
return
None
def
parser_results_from_log_by_name
(
log_path
,
names_list
):
if
not
os
.
path
.
exists
(
log_path
):
raise
ValueError
(
"The log file {} does not exists!"
.
format
(
log_path
))
if
names_list
is
None
or
len
(
names_list
)
<
1
:
return
[]
parser_results
=
{}
for
name
in
names_list
:
cmd
=
"grep {} {}"
.
format
(
name
,
log_path
)
outs
=
run_shell_command
(
cmd
)
outs
=
outs
.
split
(
"
\n
"
)[
0
]
result
=
outs
.
split
(
"{}"
.
format
(
name
))[
-
1
]
result
=
json
.
loads
(
result
)
parser_results
[
name
]
=
result
return
parser_results
def
load_gt_from_file
(
gt_file
):
if
not
os
.
path
.
exists
(
gt_file
):
raise
ValueError
(
"The log file {} does not exists!"
.
format
(
gt_file
))
with
open
(
gt_file
,
'r'
)
as
f
:
data
=
f
.
readlines
()
f
.
close
()
parser_gt
=
{}
for
line
in
data
:
image_name
,
result
=
line
.
strip
(
"
\n
"
).
split
(
"
\t
"
)
result
=
json
.
loads
(
result
)
parser_gt
[
image_name
]
=
result
return
parser_gt
def
load_gt_from_txts
(
gt_file
):
gt_list
=
glob
.
glob
(
gt_file
)
gt_collection
=
{}
for
gt_f
in
gt_list
:
gt_dict
=
load_gt_from_file
(
gt_f
)
basename
=
os
.
path
.
basename
(
gt_f
)
if
"fp32"
in
basename
:
gt_collection
[
"fp32"
]
=
[
gt_dict
,
gt_f
]
elif
"fp16"
in
basename
:
gt_collection
[
"fp16"
]
=
[
gt_dict
,
gt_f
]
elif
"int8"
in
basename
:
gt_collection
[
"int8"
]
=
[
gt_dict
,
gt_f
]
else
:
continue
return
gt_collection
def
collect_predict_from_logs
(
log_path
,
key_list
):
log_list
=
glob
.
glob
(
log_path
)
pred_collection
=
{}
for
log_f
in
log_list
:
pred_dict
=
parser_results_from_log_by_name
(
log_f
,
key_list
)
key
=
os
.
path
.
basename
(
log_f
)
pred_collection
[
key
]
=
pred_dict
return
pred_collection
def
testing_assert_allclose
(
dict_x
,
dict_y
,
atol
=
1e-7
,
rtol
=
1e-7
):
for
k
in
dict_x
:
np
.
testing
.
assert_allclose
(
np
.
array
(
dict_x
[
k
]),
np
.
array
(
dict_y
[
k
]),
atol
=
atol
,
rtol
=
rtol
)
if
__name__
==
"__main__"
:
# Usage:
# python3.7 tests/compare_results.py --gt_file=./tests/results/*.txt --log_file=./tests/output/infer_*.log
args
=
parse_args
()
gt_collection
=
load_gt_from_txts
(
args
.
gt_file
)
key_list
=
gt_collection
[
"fp32"
][
0
].
keys
()
pred_collection
=
collect_predict_from_logs
(
args
.
log_file
,
key_list
)
for
filename
in
pred_collection
.
keys
():
if
"fp32"
in
filename
:
gt_dict
,
gt_filename
=
gt_collection
[
"fp32"
]
elif
"fp16"
in
filename
:
gt_dict
,
gt_filename
=
gt_collection
[
"fp16"
]
elif
"int8"
in
filename
:
gt_dict
,
gt_filename
=
gt_collection
[
"int8"
]
else
:
continue
pred_dict
=
pred_collection
[
filename
]
try
:
testing_assert_allclose
(
gt_dict
,
pred_dict
,
atol
=
args
.
atol
,
rtol
=
args
.
rtol
)
print
(
"Assert allclose passed! The results of {} and {} are consistent!"
.
format
(
filename
,
gt_filename
))
except
Exception
as
E
:
print
(
E
)
raise
ValueError
(
"The results of {} and the results of {} are inconsistent!"
.
format
(
filename
,
gt_filename
))
tests/results/det_results_gpu_fp32.txt
0 → 100644
浏览文件 @
22838d50
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test_add_1.png []
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test_add_13.jpg [[[68, 94], [117, 97], [116, 114], [67, 111]]]
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test_add_20.jpg [[[31, 346], [605, 346], [605, 370], [31, 370]], [[217, 294], [510, 294], [510, 322], [217, 322]], [[473, 271], [525, 271], [525, 286], [473, 286]], [[220, 267], [287, 267], [287, 286], [220, 286]], [[219, 239], [484, 239], [484, 263], [219, 263]], [[221, 217], [303, 217], [303, 234], [221, 234]], [[402, 192], [417, 192], [417, 205], [402, 205]], [[222, 187], [341, 187], [341, 207], [222, 207]], [[221, 162], [287, 162], [287, 180], [221, 180]], [[375, 122], [475, 124], [475, 146], [375, 143]], [[222, 124], [356, 122], [356, 143], [222, 146]], [[218, 81], [352, 84], [352, 116], [218, 113]], [[440, 35], [605, 35], [605, 60], [440, 60]], [[72, 16], [398, 16], [398, 44], [72, 44]]]
test_add_3.jpg [[[169, 327], [337, 326], [337, 341], [169, 342]], [[170, 288], [307, 290], [307, 312], [170, 310]], [[171, 221], [323, 221], [323, 234], [171, 234]], [[340, 221], [449, 217], [449, 231], [341, 234]], [[169, 201], [372, 201], [372, 214], [169, 214]], [[170, 183], [418, 183], [418, 196], [170, 196]], [[170, 149], [416, 149], [416, 163], [170, 163]], [[171, 119], [418, 119], [418, 140], [171, 140]], [[326, 64], [478, 64], [478, 91], [326, 91]], [[173, 64], [306, 60], [306, 89], [174, 93]]]
test_add_4.png []
test_add_5.png [[[48, 164], [108, 164], [108, 174], [48, 174]], [[52, 121], [169, 121], [169, 134], [52, 134]], [[50, 102], [165, 102], [165, 118], [50, 118]], [[52, 83], [164, 83], [164, 100], [52, 100]], [[51, 68], [166, 68], [166, 84], [51, 84]], [[51, 50], [145, 47], [145, 64], [52, 67]]]
test_add_6.jpg [[[123, 223], [219, 227], [218, 251], [122, 247]], [[172, 172], [186, 186], [172, 200], [158, 186]]]
test_add_7.jpg [[[48, 938], [174, 936], [174, 962], [48, 964]], [[227, 873], [629, 876], [628, 953], [226, 949]], [[56, 745], [638, 745], [638, 790], [56, 790]], [[150, 674], [545, 678], [544, 721], [150, 718]], [[73, 504], [633, 504], [633, 601], [73, 601]], [[59, 270], [655, 279], [652, 441], [56, 432]], [[513, 193], [553, 193], [553, 223], [513, 223]], [[61, 175], [532, 175], [532, 239], [61, 239]], [[533, 178], [642, 178], [642, 236], [533, 236]]]
test_add_8.jpg [[[251, 586], [454, 580], [454, 606], [252, 613]], [[107, 533], [457, 527], [457, 560], [108, 566]], [[336, 494], [384, 494], [384, 507], [336, 507]], [[27, 307], [355, 297], [356, 320], [28, 330]], [[22, 259], [445, 251], [445, 274], [23, 282]], [[78, 209], [445, 205], [445, 225], [78, 229]], [[160, 23], [319, 30], [317, 79], [158, 72]]]
test_add_9.png [[[266, 687], [486, 687], [486, 696], [266, 696]], [[196, 668], [554, 668], [554, 681], [196, 681]], [[154, 596], [597, 596], [597, 606], [154, 606]], [[215, 578], [541, 578], [541, 588], [215, 588]], [[85, 543], [665, 543], [665, 553], [85, 553]], [[96, 522], [653, 522], [653, 535], [96, 535]], [[362, 449], [389, 449], [389, 460], [362, 460]], [[238, 376], [513, 376], [513, 389], [238, 389]], [[177, 356], [574, 356], [574, 368], [177, 368]], [[344, 281], [408, 283], [407, 297], [343, 294]], [[257, 205], [493, 205], [493, 219], [257, 219]]]
tests/results/det_results_gpu_trt_fp16.txt
0 → 100644
浏览文件 @
22838d50
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test_add_1.png []
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63], [288, 63]], [[159, 49], [269, 49], [269, 62], [159, 62]], [[24, 53], [36, 46], [45, 59], [33, 67]], [[416, 36], [481, 36], [481, 46], [416, 46]], [[25, 38], [39, 32], [46, 46], [33, 52]], [[157, 34], [205, 34], [205, 47], [157, 47]], [[412, 4], [527, 4], [527, 17], [412, 17]], [[146, 4], [345, 2], [345, 15], [146, 17]]]
test_add_20.jpg [[[31, 346], [605, 346], [605, 370], [31, 370]], [[217, 294], [510, 294], [510, 322], [217, 322]], [[473, 271], [525, 271], [525, 286], [473, 286]], [[220, 267], [287, 267], [287, 286], [220, 286]], [[219, 239], [484, 239], [484, 263], [219, 263]], [[221, 217], [303, 217], [303, 234], [221, 234]], [[402, 192], [417, 192], [417, 205], [402, 205]], [[222, 187], [341, 187], [341, 207], [222, 207]], [[221, 162], [287, 162], [287, 180], [221, 180]], [[375, 122], [475, 124], [475, 146], [375, 143]], [[222, 124], [356, 122], [356, 143], [222, 146]], [[218, 81], [352, 84], [352, 116], [218, 113]], [[440, 35], [605, 35], [605, 60], [440, 60]], [[72, 16], [398, 16], [398, 44], [72, 44]]]
test_add_3.jpg [[[169, 327], [337, 326], [337, 341], [169, 342]], [[170, 288], [307, 290], [307, 312], [170, 310]], [[171, 221], [323, 221], [323, 234], [171, 234]], [[340, 221], [449, 217], [449, 231], [341, 234]], [[169, 201], [372, 201], [372, 214], [169, 214]], [[170, 183], [418, 183], [418, 196], [170, 196]], [[170, 149], [416, 149], [416, 163], [170, 163]], [[171, 119], [418, 119], [418, 140], [171, 140]], [[326, 64], [478, 64], [478, 91], [326, 91]], [[173, 64], [306, 60], [306, 89], [174, 93]]]
test_add_4.png []
test_add_5.png [[[48, 164], [108, 164], [108, 174], [48, 174]], [[52, 121], [169, 121], [169, 134], [52, 134]], [[50, 102], [165, 102], [165, 118], [50, 118]], [[52, 83], [164, 83], [164, 100], [52, 100]], [[51, 68], [166, 68], [166, 84], [51, 84]], [[51, 50], [145, 47], [145, 64], [52, 67]]]
test_add_6.jpg [[[123, 223], [219, 227], [218, 251], [122, 247]], [[172, 172], [186, 186], [172, 200], [158, 186]]]
test_add_7.jpg [[[48, 938], [174, 936], [174, 962], [48, 964]], [[227, 873], [629, 876], [628, 953], [226, 949]], [[56, 745], [638, 745], [638, 790], [56, 790]], [[150, 674], [545, 678], [544, 721], [150, 718]], [[73, 504], [633, 504], [633, 601], [73, 601]], [[59, 270], [655, 279], [652, 441], [56, 432]], [[513, 193], [553, 193], [553, 223], [513, 223]], [[61, 175], [532, 175], [532, 239], [61, 239]], [[533, 178], [642, 178], [642, 236], [533, 236]]]
test_add_8.jpg [[[251, 586], [454, 580], [454, 606], [252, 613]], [[107, 533], [457, 527], [457, 560], [108, 566]], [[336, 494], [384, 494], [384, 507], [336, 507]], [[27, 307], [355, 297], [356, 320], [28, 330]], [[22, 259], [445, 251], [445, 274], [23, 282]], [[78, 209], [445, 205], [445, 225], [78, 229]], [[160, 23], [319, 30], [317, 79], [158, 72]]]
test_add_9.png [[[266, 687], [486, 687], [486, 696], [266, 696]], [[196, 668], [554, 668], [554, 681], [196, 681]], [[154, 596], [597, 596], [597, 606], [154, 606]], [[215, 578], [541, 578], [541, 588], [215, 588]], [[134, 560], [615, 560], [615, 570], [134, 570]], [[85, 543], [665, 543], [665, 553], [85, 553]], [[96, 522], [653, 522], [653, 535], [96, 535]], [[362, 449], [389, 449], [389, 460], [362, 460]], [[238, 376], [513, 376], [513, 389], [238, 389]], [[177, 356], [574, 356], [574, 368], [177, 368]], [[344, 281], [408, 283], [407, 297], [343, 294]], [[257, 205], [493, 205], [493, 219], [257, 219]]]
tools/export_model.py
浏览文件 @
22838d50
...
...
@@ -93,6 +93,9 @@ def main():
for
key
in
config
[
"Architecture"
][
"Models"
]:
config
[
"Architecture"
][
"Models"
][
key
][
"Head"
][
"out_channels"
]
=
char_num
# just one final tensor needs to to exported for inference
config
[
"Architecture"
][
"Models"
][
key
][
"return_all_feats"
]
=
False
else
:
# base rec model
config
[
"Architecture"
][
"Head"
][
"out_channels"
]
=
char_num
model
=
build_model
(
config
[
"Architecture"
])
...
...
tools/infer/predict_det.py
浏览文件 @
22838d50
...
...
@@ -30,7 +30,7 @@ from ppocr.utils.logging import get_logger
from
ppocr.utils.utility
import
get_image_file_list
,
check_and_read_gif
from
ppocr.data
import
create_operators
,
transform
from
ppocr.postprocess
import
build_post_process
import
json
logger
=
get_logger
()
...
...
@@ -243,6 +243,7 @@ if __name__ == "__main__":
if
not
os
.
path
.
exists
(
draw_img_save
):
os
.
makedirs
(
draw_img_save
)
save_results
=
[]
for
image_file
in
image_file_list
:
img
,
flag
=
check_and_read_gif
(
image_file
)
if
not
flag
:
...
...
@@ -256,8 +257,11 @@ if __name__ == "__main__":
if
count
>
0
:
total_time
+=
elapse
count
+=
1
logger
.
info
(
"Predict time of {}: {}"
.
format
(
image_file
,
elapse
))
save_pred
=
os
.
path
.
basename
(
image_file
)
+
"
\t
"
+
str
(
json
.
dumps
(
np
.
array
(
dt_boxes
).
astype
(
np
.
int32
).
tolist
()))
+
"
\n
"
save_results
.
append
(
save_pred
)
logger
.
info
(
save_pred
)
logger
.
info
(
"The predict time of {}: {}"
.
format
(
image_file
,
elapse
))
src_im
=
utility
.
draw_text_det_res
(
dt_boxes
,
image_file
)
img_name_pure
=
os
.
path
.
split
(
image_file
)[
-
1
]
img_path
=
os
.
path
.
join
(
draw_img_save
,
...
...
@@ -265,5 +269,8 @@ if __name__ == "__main__":
cv2
.
imwrite
(
img_path
,
src_im
)
logger
.
info
(
"The visualized image saved in {}"
.
format
(
img_path
))
with
open
(
os
.
path
.
join
(
draw_img_save
,
"det_results.txt"
),
'w'
)
as
f
:
f
.
writelines
(
save_results
)
f
.
close
()
if
args
.
benchmark
:
text_detector
.
autolog
.
report
()
tools/infer/utility.py
浏览文件 @
22838d50
...
...
@@ -35,7 +35,7 @@ def init_args():
parser
.
add_argument
(
"--use_gpu"
,
type
=
str2bool
,
default
=
True
)
parser
.
add_argument
(
"--ir_optim"
,
type
=
str2bool
,
default
=
True
)
parser
.
add_argument
(
"--use_tensorrt"
,
type
=
str2bool
,
default
=
False
)
parser
.
add_argument
(
"--min_subgraph_size"
,
type
=
int
,
default
=
1
0
)
parser
.
add_argument
(
"--min_subgraph_size"
,
type
=
int
,
default
=
1
5
)
parser
.
add_argument
(
"--precision"
,
type
=
str
,
default
=
"fp32"
)
parser
.
add_argument
(
"--gpu_mem"
,
type
=
int
,
default
=
500
)
...
...
tools/infer_rec.py
浏览文件 @
22838d50
...
...
@@ -121,7 +121,7 @@ def main():
if
len
(
post_result
[
key
][
0
])
>=
2
:
rec_info
[
key
]
=
{
"label"
:
post_result
[
key
][
0
][
0
],
"score"
:
post_result
[
key
][
0
][
1
]
,
"score"
:
float
(
post_result
[
key
][
0
][
1
])
,
}
info
=
json
.
dumps
(
rec_info
)
else
:
...
...
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