Sync v4.5.3 #1
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* Make divSpectrums public * Add unit test
The option as been moved away from python-related options.
…ersion-from-cmake * Extract IE version from IE cmake config * Update cmake/OpenCVDetectInferenceEngine.cmake Co-authored-by: Maksim Shabunin <[email protected]>
…r-queue-capacity * Support queue capacity as graph compilation argument * Fix comments to review * Fix comments to review * Fix comments to review
* Add the support for riscv64 vector 0.7.1. * fixed GCC warnings * cleaned whitespaces * Remove the worning by the use of internal API of compiler. * Update the license header. * removed trailing whitespaces Co-authored-by: Vadim Pisarevsky <[email protected]> Co-authored-by: yulj <[email protected]> Co-authored-by: Vadim Pisarevsky <[email protected]>
G-API: Add transpose operation * Add kernels decl & def * Add draft for UT * Fix UT for Transpose * Add perf test * Fix docs * Apply comments
…mo_queue_option Add streaming queue capacity option choice to MTCNN G-API sample * Add streaming queue capacity option * trying to fix mac build * rename face detection sample
backport of commit: e5841d3
G-API: ONNX. Skip tests. * imread for every test * Changed name for Yolo function
G-API: Implement variant visit() * Add variant visitor, use visitor for check compile args * Fix GAPI UT: variant *compiler * Aling apply_visior with std, fix indentations * Fix compilation (included compiler_hints.hpp) * Fix compilation (due gapi standalone) * Fix compilation2 (Docs) * Add Lambdas overload, Refactor visit() * Add ReturnType auto deduction * Fix comilation * Fix compilation * Fix warnings * Try to fix MSVC14 * Fix docs * Try fix Win compile * Fix Docs again * Revert GAPI empty input fix * Apply comment for `tuple_element` * Add std::decay for std::base_of to work arounf armv7 problem * Apply review comments * Apply review comments: added comment & removed unused args * Fix docs compilation
…tion_docs G-API: add documentation on serialization functionality * Add documentation on serialization/deserialization * Add docs on bind() methods * Fix typo * Docs refactoring * Fix s11n docs * Fix deserialize() docs * Change deserialize docs * Fix warning * Address review comments * Fix sample * Fix warnings and errors * Fix docs warnings * Fix warnings * Address review comments * Add prefixes to snippets and fix indentation * Address review comments and move snippets to a single file
* [build][option] Introduce `OPENCV_DISABLE_THREAD_SUPPORT` option. The option forces the library to build without thread support. * update handling of OPENCV_DISABLE_THREAD_SUPPORT - reduce amount of #if conditions * [to squash] cmake: apply mode vars in toolchains too Co-authored-by: Alexander Alekhin <[email protected]>
Sync v4.5.3
kevleyski
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Nov 8, 2023
The address sanitizer highlighted this issue in our code base. It
looks like the code is currently grabbing a pointer to a temporary
object and then performing operations on it.
I printed some information right before the asan crash:
eigensolver address: 0x7f0ad95032f0
eigensolver size: 4528
eig_vecs_ ptr: 0x7f0ad95045e0
eig_vecs_ offset: 4848
This shows that `eig_vecs_` points past the end of `eigensolver`. In
other words, it points at the temporary object created by the
`eigensolver.eigenvectors()` call.
Compare the docs for `.eigenvalues()`:
https://eigen.tuxfamily.org/dox/classEigen_1_1EigenSolver.html#a0f507ad7ab14797882f474ca8f2773e7
to the docs for `.eigenvectors()`:
https://eigen.tuxfamily.org/dox/classEigen_1_1EigenSolver.html#a66288022802172e3ee059283b26201d7
The difference in return types is interesting. `.eigenvalues()`
returns a reference. But `.eigenvectors()` returns a matrix.
This patch here fixes the problem by saving the temporary object and
then grabbing a pointer into it.
This is a curated snippet of the original asan failure:
==12==ERROR: AddressSanitizer: stack-use-after-scope on address 0x7fc633704640 at pc 0x7fc64f7f1593 bp 0x7ffe8875fc90 sp 0x7ffe8875fc88
READ of size 8 at 0x7fc633704640 thread T0
#0 0x7fc64f7f1592 in cv::usac::EssentialMinimalSolverStewenius5ptsImpl::estimate(std::__1::vector<int, std::__1::allocator<int> > const&, std::__1::vector<cv::Mat, std::__1::allocator<cv::Mat> >&) const /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/essential_solver.cpp:181:48
#1 0x7fc64f915d92 in cv::usac::EssentialEstimatorImpl::estimateModels(std::__1::vector<int, std::__1::allocator<int> > const&, std::__1::vector<cv::Mat, std::__1::allocator<cv::Mat> >&) const /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/estimator.cpp:110:46
#2 0x7fc64fa74fb0 in cv::usac::Ransac::run(cv::Ptr<cv::usac::RansacOutput>&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/ransac_solvers.cpp:152:58
#3 0x7fc64fa6cd8e in cv::usac::run(cv::Ptr<cv::usac::Model const> const&, cv::_InputArray const&, cv::_InputArray const&, int, cv::Ptr<cv::usac::RansacOutput>&, cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/ransac_solvers.cpp:1010:16
#4 0x7fc64fa6fb46 in cv::usac::findEssentialMat(cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, int, double, double, cv::_OutputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/ransac_solvers.cpp:527:9
#5 0x7fc64f3b5522 in cv::findEssentialMat(cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, int, double, double, int, cv::_OutputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/five-point.cpp:437:16
#6 0x7fc64f3b7e00 in cv::findEssentialMat(cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, int, double, double, cv::_OutputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/five-point.cpp:486:12
...
Address 0x7fc633704640 is located in stack of thread T0 at offset 17984 in frame
#0 0x7fc64f7ed4ff in cv::usac::EssentialMinimalSolverStewenius5ptsImpl::estimate(std::__1::vector<int, std::__1::allocator<int> > const&, std::__1::vector<cv::Mat, std::__1::allocator<cv::Mat> >&) const /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/essential_solver.cpp:36
This frame has 63 object(s):
[32, 56) 'coefficients' (line 38)
[96, 384) 'ee' (line 55)
...
[13040, 17568) 'eigensolver' (line 142)
[17824, 17840) 'ref.tmp518' (line 143)
[17856, 17872) 'ref.tmp523' (line 144)
[17888, 19488) 'ref.tmp524' (line 144) <== Memory access at offset 17984 is inside this variable
[19616, 19640) 'ref.tmp532' (line 169)
...
The crash report says that we're accessing a temporary object from
line 144 when we shouldn't be. Line 144 looks like this:
https://github.com/opencv/opencv/blob/4.6.0/modules/calib3d/src/usac/essential_solver.cpp#L144
const auto * const eig_vecs_ = (double *) eigensolver.eigenvectors().real().data();
We are using version 4.6.0 for this, but the problem is present on the
4.x branch.
Note that I am dropping the .real() call here. I think that is safe because
of the code further down (line 277 in the most recent version):
const int eig_i = 20 * i + 12; // eigen stores imaginary values too
The code appears to expect to have to skip doubles for the imaginary parts
of the complex numbers.
Admittedly, I couldn't find a test case that exercised this code path to
validate correctness.
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Patch to opencv_extra has the same branch name.