BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html
I know that this is an issue due to OpenCV and I've exhausted all possibilities trying to fix this error. Do you have any idea about how to resolve this?
Hi bittnt,
Thanks so much for providing this code. I am trying to install this on Mac and I've been facing a number of issues.
Then I create a build directory and first run
[ 34%] Building CXX object CMakeFiles/BING_linux.dir/LibLinear/linear.cpp.o [ 39%] Building CXX object CMakeFiles/BING_linux.dir/LibLinear/tron.cpp.o [ 43%] Building C object CMakeFiles/BING_linux.dir/LibLinear/blas/daxpy.c.o [ 47%] Building C object CMakeFiles/BING_linux.dir/LibLinear/blas/ddot.c.o [ 52%] Building C object CMakeFiles/BING_linux.dir/LibLinear/blas/dnrm2.c.o [ 56%] Building C object CMakeFiles/BING_linux.dir/LibLinear/blas/dscal.c.o [ 60%] Linking CXX executable BING_linux Undefined symbols for architecture x86_64: "cv::FileStorage::FileStorage(std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, int, std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&)", referenced from:
DataSetVOC::loadBBoxes(std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >&, std::vector<int, std::allocator >&) in DataSetVOC.cpp.o
DataSetVOC::cvt2OpenCVYml(std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&) in DataSetVOC.cpp.o
"cv::format[abi:cxx11](char const*, ...)", referenced from:
illutrateLoG() in main.cpp.o
DataSetVOC::loadBox(cv::FileNode const&, std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >&, std::vector<int, std::allocator >&) in DataSetVOC.cpp.o
DataSetVOC::loadBBoxes(std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&, std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >&, std::vector<int, std::allocator >&) in DataSetVOC.cpp.o
Objectness::setColorSpace(int) in Objectness.cpp.o
Objectness::getObjBndBoxes(cv::Mat const&, ValStructVec<float, cv::Vec<int, 4> >&, int) in Objectness.cpp.o
Objectness::illuTestReults(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > > const&) in Objectness.cpp.o
Objectness::evaluatePerClassRecall(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > >&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, int) in Objectness.cpp.o
...
"cv::imread(std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)", referenced from:
Objectness::illuTestReults(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > > const&) in Objectness.cpp.o
Objectness::generateTrianData() [clone ._omp_fn.0] in Objectness.cpp.o
Objectness::trainStateII(int) [clone ._omp_fn.1] in Objectness.cpp.o
Objectness::getObjBndBoxesForTests(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > >&, int) [clone ._omp_fn.2] in Objectness.cpp.o
Objectness::getObjBndBoxesForTestsFast(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > >&, int) [clone ._omp_fn.6] in Objectness.cpp.o
Objectness::getRandomBoxes(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > >&, int) [clone ._omp_fn.9] in Objectness.cpp.o
"cv::imshow(std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::_InputArray const&)", referenced from:
CmShow::HistBins(cv::Mat const&, cv::Mat const&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, bool, cv::Mat const&) in CmShow.cpp.o
CmShow::SaveShow(cv::Mat const&, std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&) in CmShow.cpp.o
"cv::imwrite(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::_InputArray const&, std::vector<int, std::allocator > const&)", referenced from:
CmShow::SaveShow(cv::Mat const&, std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&) in CmShow.cpp.o
Objectness::illuTestReults(std::vector<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >, std::allocator<std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > > > > const&) in Objectness.cpp.o
"cv::Exception::Exception(int, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)", referenced from:
CmShow::HistBins(cv::Mat const&, cv::Mat const&, std:: cxx11::basic_string<char, std::char_traits, std::allocator > const&, bool, cv::Mat const&) in CmShow.cpp.o
FilterTIG::update(cv::Mat const&) in FilterTIG.cpp.o
DataSetVOC::loadBox(cv::FileNode const&, std::vector<cv::Vec<int, 4>, std::allocator<cv::Vec<int, 4> > >&, std::vector<int, std::allocator >&) in DataSetVOC.cpp.o
Objectness::loadTrainedModel(std::__cxx11::basic_string<char, std::char_traits, std::allocator >) in Objectness.cpp.o
Objectness::getObjBndBoxes(cv::Mat const&, ValStructVec<float, cv::Vec<int, 4> >&, int) in Objectness.cpp.o
Objectness::generateTrianData() in Objectness.cpp.o
Objectness::trainStateII(int) in Objectness.cpp.o
...
ld: symbol(s) not found for architecture x86_64
collect2: error: ld returned 1 exit status
make[2]: * [BING_linux] Error 1
make[1]: * [CMakeFiles/BING_linux.dir/all] Error 2
make: *\ [all] Error 2
I know that this is an issue due to OpenCV and I've exhausted all possibilities trying to fix this error. Do you have any idea about how to resolve this?
Will greatly appreciate your help!