PaddleLite deploy lite core dump

[idreamerhx]

@WenmuZhou

thnaks

version 2.9

./ocr_db_crnn models/ch_ppocr_mobile_v2.0_det_opt.nb models/ch_ppocr_mobile_v2.0_cls_opt.nb models/ch_ppocr_mobile_v2.0_rec_opt.nb data/imgs/11.jpg data/ppocr_keys_v1.txt

[W 5/28 17:18:11. 55 ...e-Lite/lite/model_parser/model_parser.cc:882 LoadModelFbsFromFile] warning: the version of opt that transformed this model is not consistent with current Paddle-Lite version. version of opt:6010b5f version of current Paddle-Lite:1e59d1fb [W 5/28 17:18:11. 63 ...e-Lite/lite/model_parser/model_parser.cc:882 LoadModelFbsFromFile] warning: the version of opt that transformed this model is not consistent with current Paddle-Lite version. version of opt:6010b5f version of current Paddle-Lite:1e59d1fb [W 5/28 17:18:11. 70 ...e-Lite/lite/model_parser/model_parser.cc:882 LoadModelFbsFromFile] warning: the version of opt that transformed this model is not consistent with current Paddle-Lite version. version of opt:6010b5f version of current Paddle-Lite:1e59d1fb [I 5/28 17:18:11.113 ...ddle-Lite/lite/kernels/arm/conv_direct.h:207 PrepareForRun] param.filter: [I 5/28 17:18:11.401 ...ddle-Lite/lite/kernels/arm/conv_direct.h:207 PrepareForRun] param.filter: [I 5/28 17:18:11.445 ...ddle-Lite/lite/kernels/arm/conv_direct.h:207 PrepareForRun] param.filter: Segmentation fault (core dumped)

Core was generated by./ocr_db_crnn models/ch_ppocr_mobile_v2.0_det_opt.nb models/ch_ppocr_mobile_v2.'.
Program terminated with signal SIGSEGV, Segmentation fault.
#0 0x000000558c546d54 in __gnu_cxx::__ops::_Iter_less_iter::operator()<float const*, float const*> (this=0x7fe34e3018, __it1=0x55bfe91bf4, __it2=0x55c0697000)
at /usr/include/c++/7/bits/predefined_ops.h:43
43 { return __it1 < __it2; }
[Current thread is 1 (Thread 0x7f72609010 (LWP 7527))]
(gdb) bt
#0 0x000000558c546d54 in __gnu_cxx::__ops::_Iter_less_iter::operator()<float const, float const> (this=0x7fe34e3018, __it1=0x55bfe91bf4, __it2=0x55c0697000)
at /usr/include/c++/7/bits/predefined_ops.h:43
#1 0x000000558c546dd8 in std::__max_element<float const*, __gnu_cxx::__ops::_Iter_less_iter> (__first=0x55c0697000, __last=0x1acc0eeb580, __comp=...)
at /usr/include/c++/7/bits/stl_algo.h:5653
#2 0x000000558c545178 in std::max_element<float const*> (__first=0x55bfd02e40, __last=0x1acc0eeb580) at /usr/include/c++/7/bits/stl_algo.h:5678
#3 0x000000558c5451c0 in Argmax<float const*> (first=0x55bfd02e40, last=0x1acc0eeb580) at crnn_process.h:37
#4 0x000000558c540f3c in RunRecModel (boxes=std::vector of length 15, capacity 15 = {...}, img=...,
predictor_crnn=std::shared_ptrpaddle::lite_api::PaddlePredictor (use count 2, weak count 0) = {...}, rec_text=std::vector of length 2, capacity 2 = {...},
rec_text_score=std::vector of length 2, capacity 2 = {...}, charactor_dict=std::vector of length 6625, capacity 6625 = {...},
predictor_cls=std::shared_ptrpaddle::lite_api::PaddlePredictor (use count 2, weak count 0) = {...}, use_direction_classify=1) at ocr_db_crnn.cc:209
#5 0x000000558c542a6c in main (argc=6, argv=0x7fe34e3828) at ocr_db_crnn.cc:390
(gdb) f 4
#4 0x000000558c540f3c in RunRecModel (boxes=std::vector of length 15, capacity 15 = {...}, img=...,
predictor_crnn=std::shared_ptrpaddle::lite_api::PaddlePredictor (use count 2, weak count 0) = {...}, rec_text=std::vector of length 2, capacity 2 = {...},
rec_text_score=std::vector of length 2, capacity 2 = {...}, charactor_dict=std::vector of length 6625, capacity 6625 = {...},
predictor_cls=std::shared_ptrpaddle::lite_api::PaddlePredictor (use count 2, weak count 0) = {...}, use_direction_classify=1) at ocr_db_crnn.cc:209
warning: Source file is more recent than executable.
209 argmax_idx = int(Argmax(&predict_batch[n * predict_shape[2]],
(gdb) l
204 float score = 0.f;
205 int count = 0;
206 float max_value = 0.0f;
207
208 for (int n = 0; n < predict_shape[1]; n++) {
209 argmax_idx = int(Argmax(&predict_batch[n * predict_shape[2]],
210 &predict_batch[(n + 1) * predict_shape[2]]));
211 max_value =
212 float(*std::max_element(&predict_batch[n * predict_shape[2]],
213 &predict_batch[(n + 1) * predict_shape[2]]));
(gdb) p predict_shape
$1 = std::vector of length 2, capacity 2 = {1, 2}
`

[idreamerhx]

If modify ocr_db_crnn.cc to:

for (int n = 0; n < predict_shape[0]; n++) {
  argmax_idx = int(Argmax(&predict_batch[n * predict_shape[1]],
                          &predict_batch[(n + 1) * predict_shape[1]]));
  max_value =
      float(*std::max_element(&predict_batch[n * predict_shape[1]],
                              &predict_batch[(n + 1) * predict_shape[1]]));
  if (argmax_idx > 0 && (!(n > 0 && argmax_idx == last_index))) {
    score += max_value;
    count += 1;
    str_res += charactor_dict[argmax_idx];
  }
  last_index = argmax_idx;
}

The detection visualized image saved in ./vis.jpg
0 ' 0.517064
1 nan
2 nan
3 nan
4 nan
5 ' 0.526346
6 nan
7 nan
8 ' 0.520074
9 ' 0.50233
10 nan
11 ' 0.609438
12 ' 0.506
13 nan
14 nan
花费了1.26909秒

[idreamerhx]

x86 not work

export PADDLE_LITE_DIR=/opt/inference_lite_lib/cxx
export CXXFLAGS="-fopenmp -I$PADDLE_LITE_DIR/include -I./ -g -O0"

g++ $CXXFLAGS -c ocr_db_crnn.cc -o ocr_db_crnn.o
g++ $CXXFLAGS -c crnn_process.cc -o crnn_process.o
g++ $CXXFLAGS -c cls_process.cc -o cls_process.o
g++ $CXXFLAGS -c db_post_process.cc -o db_post_process.o
g++ $CXXFLAGS -c clipper.cpp -o clipper.o

g++ ocr_db_crnn.o crnn_process.o db_post_process.o clipper.o cls_process.o
-lopencv_core -lopencv_highgui -lopencv_imgproc -lopencv_imgcodecs
-L$PADDLE_LITE_DIR/lib -lpaddle_light_api_shared -o ocr_db_crnn

export LD_LIBRARY_PATH=$PADDLE_LITE_DIR/lib:$LD_LIBRARY_PATH
./ocr_db_crnn models/ch_ppocr_mobile_v2.0_det_opt.nb models/ch_ppocr_mobile_v2.0_cls_opt.nb models/ch_ppocr_mobile_v2.0_rec_opt.nb data/imgs/11.jpg data/ppocr_keys_v1.txt

Program received signal SIGSEGV, Segmentation fault.
0x00007ffff6a8a942 in paddle::lite::RuntimeProgram::RuntimeProgram(std::shared_ptr<paddle::lite::general::ProgramDesc const> const&, paddle::lite::Scope*, int) ()
from /opt/inference_lite_lib/cxx/lib/libpaddle_light_api_shared.so
(gdb) bt
#0 0x00007ffff6a8a942 in paddle::lite::RuntimeProgram::RuntimeProgram(std::shared_ptr<paddle::lite::general::ProgramDesc const> const&, paddle::lite::Scope*, int) ()
from /opt/inference_lite_lib/cxx/lib/libpaddle_light_api_shared.so
#1 0x00007ffff6a85092 in paddle::lite::LightPredictor::BuildRuntimeProgram(std::shared_ptr<paddle::lite::general::ProgramDesc const> const&) ()
from /opt/inference_lite_lib/cxx/lib/libpaddle_light_api_shared.so
#2 0x00007ffff6a85760 in paddle::lite::LightPredictor::Build(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, bool) ()
from /opt/inference_lite_lib/cxx/lib/libpaddle_light_api_shared.so
#3 0x00007ffff6a8824e in paddle::lite::LightPredictorImpl::Init(paddle::lite_api::MobileConfig const&) ()
from /opt/inference_lite_lib/cxx/lib/libpaddle_light_api_shared.so
#4 0x00007ffff6a8892c in std::shared_ptrpaddle::lite_api::PaddlePredictor paddle::lite_api::CreatePaddlePredictorpaddle::lite_api::MobileConfig(paddle::lite_api::MobileConfig const&) () from /opt/inference_lite_lib/cxx/lib/libpaddle_light_api_shared.so
#5 0x000055555555dc8b in loadModel (model_file="models/ch_ppocr_mobile_v2.0_det_opt.nb") at ocr_db_crnn.cc:307
#6 0x000055555555e83f in main (argc=6, argv=0x7fffffffe4a8) at ocr_db_crnn.cc:384

[WenmuZhou]

use cmd like this

./ocr_db_crnn models/ch_ppocr_mobile_v2.0_det_opt.nb models/ch_ppocr_mobile_v2.0_rec_opt.nb models/ch_ppocr_mobile_v2.0_cls_opt.nb data/imgs/11.jpg data/ppocr_keys_v1.txt

[idreamerhx]

thanks. it works!

According to the command usage:
./ocr_db_crnn
[ERROR] usage: ./ocr_db_crnn det_model_file cls_model_file rec_model_file image_path charactor_dict

please modify this hint.