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GB MB KB B int main(int, const char**) dumpOpenCLInformation CPU unknown iGPU dGPU Yes No N/A ON { help h usage ? | | show this help message }{ verbose v | | show build configuration log }{ opencl | | show information about OpenCL (available platforms/devices, default selected device) }{ hw | | show detected HW features (see cv::checkHardwareSupport() function). Use --hw=0 to show available features only } help verbose opencl 3.4.5 OpenCL Platforms: ( OpenCL is not available OpenCL device is not available /data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/opencl/opencl_info.hpp Current OpenCL device: Type = Name = Version = Driver version = Address bits = Compute units = Max work group size = Local memory size = Max memory allocation size = Double support = Host unified memory = Device extensions: Has AMD Blas = Has AMD Fft = Preferred vector width char = Preferred vector width short = Preferred vector width int = Preferred vector width long = Preferred vector width float = Preferred vector width double = Exception. Can't dump OpenCL info OpenCL device not available hw OpenCV's HW features list: ID=%3d (%s) -> %s Total available: OpenCL is disabled argv1 argv0 argc /data/chifred/git/UtilsLib/opencv/apps/version/opencv_version.cpp Field KEYS could not be empty true int bool unsigned unsigned long long float double string unknown/unsupported parameter type can not convert: [%s] to [%s] basic_string::_M_construct null not valid Usage: %s [params] %s -- , (value:%s) %s <none> undeclared key '%s' requested /data/chifred/git/UtilsLib/opencv/modules/core/src/command_line_parser.cpp error in split_range_string( Missing parameter: ' ' Parameter ' ': from_str has getByName N2cv20BufferPoolControllerE codeStr_.empty() !codeStr_.empty() Internal error %08llx cl_intel_subgroups basic_string::substr %s: __pos (which is %zu) > this->size() (which is %zu) Advanced Micro Devices, Inc. Intel(R) Corporation Intel Iris NVIDIA Corporation OPENCV_OPENCL_DEVICE_MAX_WORK_GROUP_SIZE OpenCL: using workgroup size: (was OpenCL AMD OPENCV_OPENCL_DEVICE disabled ERROR: Invalid configuration string for OpenCL device ERROR: Can't find OpenCL platform by name: GPU ERROR: Requested OpenCL device not found, check configuration: ALL gpu dgpu igpu accelerator ERROR: Unsupported device type for OpenCL device (GPU, CPU, ACCELERATOR): Platform: any Device types: Device name: cpu /data/chifred/git/UtilsLib/opencv/modules/core/src/ocl.cpp p && d < (int)p->devices.size() vector::_M_default_append bool cv::ocl::haveOpenCL() getDevice N2cv7TLSDataINS_11CoreTLSDataEEE N2cv10ParseErrorE OPENCV_DUMP_ERRORS OPENCV_DUMP_CONFIG OpenCV build configuration is: %s MMX SSE SSE2 SSE3 SSSE3 SSE4.1 SSE4.2 POPCNT FP16 AVX AVX2 FMA3 AVX512F AVX512BW AVX512CD AVX512DQ AVX512ER AVX512IFMA AVX512PF AVX512VBMI AVX512VL NEON VSX VSX3 AVX512-SKX /proc/self/auxv feature.size() > 0 OPENCV: Trying to disable unavailable CPU feature on the current platform: '%s'. OPENCV: Trying to disable unknown CPU feature: '%s'. ****************************************************************** * FATAL ERROR: * * This OpenCV build doesn't support current CPU/HW configuration * * * * Use OPENCV_DUMP_CONFIG=1 environment variable for details * ****************************************************************** Required baseline features: %s - NOT AVAILABLE %s - OK Missing support for required CPU baseline features. Check OpenCV build configuration and required CPU/HW setup. OPENCV_CPU_DISABLE OPENCV: Trying to disable baseline CPU feature: '%s'. This has very limited effect, because code optimizations for this feature are executed unconditionally in the most cases. pthread_setspecific(tlsKey, pData) == 0 pthread_key_create(&tlsKey, NULL) == 0 pthread_key_delete(tlsKey) == 0 key_ != -1 && "Can't fetch data from terminated TLS container." tlsSlotsSize == tlsSlots.size() tlsSlotsSize > slotIdx key_ == -1 Unknown feature * basic_string::append ? General configuration for OpenCV 3.4.5 ===================================== Version control: 3.4.5-dirty Platform: Timestamp: 2020-07-16T11:51:22Z Host: Linux 4.15.0-108-generic x86_64 Target: Linux arm CMake: 3.15.4 CMake generator: Unix Makefiles CMake build tool: /usr/bin/make Configuration: Release CPU/HW features: Baseline: NEON requested: DETECT required: NEON disabled: VFPV3 C/C++: Built as dynamic libs?: NO C++11: YES C++ Compiler: /home/chifred/opt/tool_chain/gcc-linaro-6.3.1-2017.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++ (ver 6.3.1) C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -mfpu=neon -mfp16-format=ieee -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -mfpu=neon -mfp16-format=ieee -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG C Compiler: /home/chifred/opt/tool_chain/gcc-linaro-6.3.1-2017.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -mfpu=neon -mfp16-format=ieee -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -mfpu=neon -mfp16-format=ieee -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG Linker flags (Release): Linker flags (Debug): ccache: NO Precompiled headers: NO Extra dependencies: dl m pthread rt 3rdparty dependencies: zlib libjpeg-turbo libwebp libpng libtiff libjasper IlmImf tegra_hal OpenCV modules: To be built: calib3d core features2d imgcodecs imgproc video Disabled: world Disabled by dependency: dnn flann highgui java_bindings_generator ml objdetect photo python_bindings_generator shape stitching superres ts videoio videostab Unavailable: cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java js python2 python3 viz Applications: apps Documentation: NO Non-free algorithms: NO GUI: GTK+: NO Media I/O: ZLib: zlib (ver 1.2.11) JPEG: libjpeg-turbo (ver 1.5.3-62) WEBP: build (ver encoder: 0x020e) PNG: build (ver 1.6.35) TIFF: build (ver 42 - 4.0.9) JPEG 2000: build (ver 1.900.1) OpenEXR: build (ver 1.7.1) HDR: YES SUNRASTER: YES PXM: YES Video I/O: DC1394: NO FFMPEG: NO avcodec: NO avformat: NO avutil: NO swscale: NO avresample: NO GStreamer: NO libv4l/libv4l2: NO v4l/v4l2: linux/videodev2.h Parallel framework: pthreads Trace: YES (built-in) Other third-party libraries: Lapack: NO Custom HAL: YES (carotene (ver 0.0.1)) Protobuf: build (3.5.1) Python (for build): /usr/bin/python2.7 Install to: /data/chifred/git/UtilsLib/opencv/armhf_install ----------------------------------------------------------------- True TRUE False false FALSE MB Mb mb KB Kb kb len >= 0 && "Check format string for errors" /data/chifred/git/UtilsLib/opencv/modules/core/src/system.cpp > OpenCV(%s) %s:%d: error: (%d:%s) in function '%s' %s OpenCV(%s) %s:%d: error: (%d:%s) %s in function '%s' OpenCV(%s) %s:%d: error: (%d:%s) %s%s unknown function OpenCV(%s) Error: %s (%s) in %s, file %s, line %d Invalid value for parameter vector::_M_fill_insert N2cv16TLSDataContainerE *N2cv7TLSDataINS_12_GLOBAL__N_18ThreadIDEEE N2cv9ExceptionE initialize readSettings releaseSlot reserveSlot gather setData SetData TlsAbstraction ~TlsAbstraction ~TLSDataContainer read read read format getData getData status No Error Backtrace Unspecified error Insufficient memory Bad argument Iterations do not converge Autotrace call Incorrect size of input array Null pointer Division by zero occurred Image step is wrong Inplace operation is not supported Requested object was not found Input image depth is not supported by function Formats of input arguments do not match Sizes of input arguments do not match One of arguments' values is out of range Unsupported format or combination of formats Input COI is not supported Bad number of channels Bad flag (parameter or structure field) Bad parameter of type CvPoint Bad type of mask argument Parsing error The function/feature is not implemented Memory block has been corrupted Assertion failed No CUDA support Gpu API call No OpenGL support OpenGL API call Unknown %s code %d N2cv6detail8PtrOwnerE N2cv5utils5trace7details12TraceStorageE N2cv7TLSDataINS_5utils5trace7details23TraceManagerThreadLocalEEE N2cv5utils5trace7details17AsyncTraceStorageE N2cv5utils5trace7details16SyncTraceStorageE N2cv6detail12PtrOwnerImplINS_5utils5trace7details17AsyncTraceStorageENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_5utils5trace7details16SyncTraceStorageENS_14DefaultDeleterIS5_EEEE OPENCV_TRACE OPENCV_TRACE_DEPTH_OPENCV OPENCV_TRACE_MAX_CHILDREN_OPENCV OPENCV_TRACE_MAX_CHILDREN OpenCVTrace OPENCV_TRACE_LOCATION .txt #description: OpenCV trace file #version: 1.0 Trace: Total events: Trace: Total skipped events: ctx.dummy_stack_top.region == NULL /data/chifred/git/UtilsLib/opencv/modules/core/src/trace.cpp ctx.stack.empty() l,%lld,"%s",%d,"%s",0x%llX b,%d,%lld,%lld,%lld ,parentThread=%d,parent=%lld e,%d,%lld,%lld,%lld,%lld ,skip=%d ptr /data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/utility.hpp OpenCV parent region exceeds children count. Bailout Parent region exceeds children count. Bailout Region location is disabled. Bailout region->pImpl %s-%03d.txt #thread file: %s traceArg traceArg getRef N2cv7TLSDataINS_18UMatDataAutoLockerEEE usage_count == 0 usage_count == 1 0 <= d && d <= CV_MAX_DIM && _sizes u != 0 step[dims-1] == (size_t)CV_ELEM_SIZE(flags) ranges r == Range::all() || (0 <= r.start && r.start < r.end && r.end <= m.size[i]) m.dims >= 2 0 <= _rowRange.start && _rowRange.start <= _rowRange.end && _rowRange.end <= m.rows 0 <= _colRange.start && _colRange.start <= _colRange.end && _colRange.end <= m.cols m.dims <= 2 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows 0 <= _dims && _dims <= CV_MAX_DIM /data/chifred/git/UtilsLib/opencv/modules/core/src/umatrix.cpp s >= 0 The total matrix size does not fit to "size_t" type mapcount == 0 data == datastart Exception: %s u->data != 0 && "Error mapping of UMat to host memory." lock release cv::UMat& cv::UMat::setTo(cv::InputArray, cv::InputArray) create UMat UMat UMat setSize ~UMatData getUMat getMat getRef Failed to allocate %llu bytes /data/chifred/git/UtilsLib/opencv/modules/core/src/alloc.cpp OutOfMemoryError scn == 1 /data/chifred/git/UtilsLib/opencv/modules/core/src/arithm.cpp op == CMP_LT || op == CMP_LE || op == CMP_EQ || op == CMP_NE || op == CMP_GE || op == CMP_GT _src1.empty() == _src2.empty() The operation is neither 'array op array' (where arrays have the same size and the same type), nor 'array op scalar', nor 'scalar op array' The operation is neither 'array op array' (where arrays have the same size and the same number of channels), nor 'array op scalar', nor 'scalar op array' type2 == CV_64F && (sz2.height == 1 || sz2.height == 4) When the input arrays in add/subtract/multiply/divide functions have different types, the output array type must be explicitly specified (mtype == CV_8UC1 || mtype == CV_8SC1) && _mask.sameSize(*psrc1) The operation is neither 'array op array' (where arrays have the same size and type), nor 'array op scalar', nor 'scalar op array' psrc1->sameSize(*psrc2) && type1 == type2 (mtype == CV_8U || mtype == CV_8S) && _mask.sameSize(*psrc1) void cv::bitwise_or(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray) void cv::addWeighted(cv::InputArray, double, cv::InputArray, double, double, cv::OutputArray, int) void cv::bitwise_and(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray) void cv::bitwise_not(cv::InputArray, cv::OutputArray, cv::InputArray) void cv::bitwise_xor(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray) convertAndUnrollScalar void cv::add(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray, int) void cv::max(cv::InputArray, cv::InputArray, cv::OutputArray) void cv::max(const cv::Mat&, const cv::Mat&, cv::Mat&) void cv::min(cv::InputArray, cv::InputArray, cv::OutputArray) void cv::min(const cv::Mat&, const cv::Mat&, cv::Mat&) void cv::divide(cv::InputArray, cv::InputArray, cv::OutputArray, double, int) void cv::divide(double, cv::InputArray, cv::OutputArray, int) void cv::absdiff(cv::InputArray, cv::InputArray, cv::OutputArray) void cv::compare(cv::InputArray, cv::InputArray, cv::OutputArray, int) compare void cv::multiply(cv::InputArray, cv::InputArray, cv::OutputArray, double, int) void cv::subtract(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray, int) arithm_op binary_op o@ _@ @ @ A G  ` cmpop == CMP_NE /data/chifred/git/UtilsLib/opencv/modules/core/src/arithm.simd.hpp void cv::hal::absdiff16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::absdiff16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::absdiff32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::absdiff32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::absdiff64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::cpu_baseline::absdiff16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int) void cv::hal::cpu_baseline::absdiff16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int) void cv::hal::cpu_baseline::absdiff32f(const float*, size_t, const float*, size_t, float*, size_t, int, int) void cv::hal::cpu_baseline::absdiff32s(const int*, size_t, const int*, size_t, int*, size_t, int, int) void cv::hal::cpu_baseline::absdiff64f(const double*, size_t, const double*, size_t, double*, size_t, int, int) void cv::hal::cpu_baseline::addWeighted8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::addWeighted8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::addWeighted16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::addWeighted16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, const double*) void cv::hal::cpu_baseline::addWeighted32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, const double*) void cv::hal::cpu_baseline::addWeighted32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::addWeighted64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, const double*) void cv::hal::cpu_baseline::or8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::add8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int) void cv::hal::cpu_baseline::add8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::and8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::cmp8s(const schar*, size_t, const schar*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::cmp8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::div8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::div8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::max8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int) void cv::hal::cpu_baseline::max8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::min8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int) void cv::hal::cpu_baseline::min8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::mul8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::mul8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::not8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::sub8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int) void cv::hal::cpu_baseline::sub8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::xor8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) void cv::hal::cpu_baseline::add16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int) void cv::hal::cpu_baseline::add16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int) void cv::hal::cpu_baseline::add32f(const float*, size_t, const float*, size_t, float*, size_t, int, int) void cv::hal::cpu_baseline::add32s(const int*, size_t, const int*, size_t, int*, size_t, int, int) void cv::hal::cpu_baseline::add64f(const double*, size_t, const double*, size_t, double*, size_t, int, int) void cv::hal::cpu_baseline::cmp16s(const short int*, size_t, const short int*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::cmp16u(const ushort*, size_t, const ushort*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::cmp32f(const float*, size_t, const float*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::cmp32s(const int*, size_t, const int*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::cmp64f(const double*, size_t, const double*, size_t, uchar*, size_t, int, int, int) void cv::hal::cpu_baseline::div16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::div16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, const double*) void cv::hal::cpu_baseline::div32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, const double*) void cv::hal::cpu_baseline::div32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::div64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, const double*) void cv::hal::cpu_baseline::max16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int) void cv::hal::cpu_baseline::max16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int) void cv::hal::cpu_baseline::max32f(const float*, size_t, const float*, size_t, float*, size_t, int, int) void cv::hal::cpu_baseline::max32s(const int*, size_t, const int*, size_t, int*, size_t, int, int) void cv::hal::cpu_baseline::max64f(const double*, size_t, const double*, size_t, double*, size_t, int, int) void cv::hal::cpu_baseline::min16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int) void cv::hal::cpu_baseline::min16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int) void cv::hal::cpu_baseline::min32f(const float*, size_t, const float*, size_t, float*, size_t, int, int) void cv::hal::cpu_baseline::min32s(const int*, size_t, const int*, size_t, int*, size_t, int, int) void cv::hal::cpu_baseline::min64f(const double*, size_t, const double*, size_t, double*, size_t, int, int) void cv::hal::cpu_baseline::mul16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::mul16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, const double*) void cv::hal::cpu_baseline::mul32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, const double*) void cv::hal::cpu_baseline::mul32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::mul64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, const double*) void cv::hal::cpu_baseline::sub16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int) void cv::hal::cpu_baseline::sub16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int) void cv::hal::cpu_baseline::sub32f(const float*, size_t, const float*, size_t, float*, size_t, int, int) void cv::hal::cpu_baseline::sub32s(const int*, size_t, const int*, size_t, int*, size_t, int, int) void cv::hal::cpu_baseline::sub64f(const double*, size_t, const double*, size_t, double*, size_t, int, int) void cv::hal::cpu_baseline::recip8s(const schar*, size_t, schar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::recip8u(const uchar*, size_t, uchar*, size_t, int, int, const double*) void cv::hal::cpu_baseline::recip16s(const short int*, size_t, short int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::recip16u(const ushort*, size_t, ushort*, size_t, int, int, const double*) void cv::hal::cpu_baseline::recip32f(const float*, size_t, float*, size_t, int, int, const double*) void cv::hal::cpu_baseline::recip32s(const int*, size_t, int*, size_t, int, int, const double*) void cv::hal::cpu_baseline::recip64f(const double*, size_t, double*, size_t, int, int, const double*) void cv::hal::cpu_baseline::absdiff8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int) void cv::hal::cpu_baseline::absdiff8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int) cmp_loop_nosimd cmp_loop cmp_loop cmp_loop cmp_loop cmp_loop cmp_loop void cv::hal::addWeighted8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::addWeighted8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::addWeighted16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::addWeighted16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::addWeighted32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::addWeighted32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::addWeighted64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::or8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::add8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::add8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::and8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::cmp8s(const schar*, size_t, const schar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::cmp8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::div8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::div8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::max8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::max8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::min8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::min8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::mul8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::mul8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::not8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::sub8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::sub8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::xor8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::add16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::add16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::add32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::add32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::add64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::cmp16s(const short int*, size_t, const short int*, size_t, uchar*, size_t, int, int, void*) void cv::hal::cmp16u(const ushort*, size_t, const ushort*, size_t, uchar*, size_t, int, int, void*) void cv::hal::cmp32f(const float*, size_t, const float*, size_t, uchar*, size_t, int, int, void*) void cv::hal::cmp32s(const int*, size_t, const int*, size_t, uchar*, size_t, int, int, void*) void cv::hal::cmp64f(const double*, size_t, const double*, size_t, uchar*, size_t, int, int, void*) void cv::hal::div16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::div16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::div32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::div32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::div64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::max16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::max16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::max32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::max32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::max64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::min16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::min16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::min32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::min32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::min64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::mul16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::mul16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::mul32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::mul32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::mul64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::sub16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::sub16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::sub32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::sub32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::sub64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::recip8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::recip8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) void cv::hal::recip16s(const short int*, size_t, const short int*, size_t, short int*, size_t, int, int, void*) void cv::hal::recip16u(const ushort*, size_t, const ushort*, size_t, ushort*, size_t, int, int, void*) void cv::hal::recip32f(const float*, size_t, const float*, size_t, float*, size_t, int, int, void*) void cv::hal::recip32s(const int*, size_t, const int*, size_t, int*, size_t, int, int, void*) void cv::hal::recip64f(const double*, size_t, const double*, size_t, double*, size_t, int, int, void*) void cv::hal::absdiff8s(const schar*, size_t, const schar*, size_t, schar*, size_t, int, int, void*) void cv::hal::absdiff8u(const uchar*, size_t, const uchar*, size_t, uchar*, size_t, int, int, void*) func != 0 /data/chifred/git/UtilsLib/opencv/modules/core/src/convert.cpp void cv::Mat::convertTo(cv::OutputArray, int, double, double) const convertTo checkScalar(value, type(), _value.kind(), _InputArray::MAT ) mask.empty() || (mask.depth() == CV_8U && (mcn == 1 || mcn == cn) && size == mask.size) sz <= sizeof(scalar) _src.dims() <= 2 _src.getObj() != _dst.getObj() ny > 0 && nx > 0 /data/chifred/git/UtilsLib/opencv/modules/core/src/copy.cpp channels() == CV_MAT_CN(dtype) dst.u != NULL dims > 0 && dims < CV_MAX_DIM mask.depth() == CV_8U && (mcn == 1 || mcn == cn) size() == mask.size() cvCopy cv::Mat& cv::Mat::setTo(cv::InputArray, cv::InputArray) setTo cv::Mat& cv::Mat::operator=(const Scalar&) operator= void cv::repeat(cv::InputArray, int, int, cv::OutputArray) repeat void cv::Mat::copyTo(cv::OutputArray) const copyTo void cv::Mat::copyTo(cv::OutputArray, cv::InputArray) const copyTo maskarr == 0 src.depth() == dst.depth() && src.size == dst.size src.channels() == dst.channels() (coi1 != 0 || src.channels() == 1) && (coi2 != 0 || dst.channels() == 1) sz.width The sequence has NULL storage pointer /data/chifred/git/UtilsLib/opencv/modules/core/src/datastructs.cpp cvClearSeq cvSeqSlice cvCreateSeq cvCreateSet cvCloneGraph cvCreateGraph cvGraphAddVtx cvSeqPopMulti cvNextTreeNode cvSeqPushMulti cvStartReadSeq cvCvtSeqToArray cvChangeSeqBlock cvGetSeqReaderPos cvMemStorageAlloc cvSetSeqBlockSize cvSetSeqReaderPos cvGraphAddEdgeByPtr cvReleaseMemStorage cvFindGraphEdgeByPtr cvInitTreeNodeIterator cvRestoreMemStoragePos cvSetAdd cvSeqPush cvSeqSort icvGrowSeq icvGoNextMemBlock icvInitMemStorage Invalid graph pointer Too large memory block is requested requested size is negative or too big Storage block size is too small to fit the sequence elements Specified element size doesn't match to the size of the specified element type (try to use 0 for element type) graph pointer is NULL vertex pointers coincide (or set to NULL) NULL storage pointer NULL iterator pointer NULL sequence pointer number of removed elements is negative Invalid sequence header Bad sequence slice Bad input sequence Null compare function /data/chifred/git/UtilsLib/opencv/modules/core/src/lapack.cpp mat.rows == mat.cols && (type == CV_32F || type == CV_64F) !mat.empty() Step must be a multiple of esz1 /data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/mat.inl.hpp total() == 0 || data != NULL u.cols >= nm && vt.rows >= nm && (w.size() == Size(nm, 1) || w.size() == Size(1, nm) || w.size() == Size(vt.rows, u.cols)) w.type() == u.type() && u.type() == vt.type() && u.data && vt.data && w.data rhs.data == 0 || (rhs.type() == type && rhs.rows == m) src.rows == src.cols type == CV_32F || type == CV_64F (method != DECOMP_LU && method != DECOMP_CHOLESKY) || is_normal || src.rows == src.cols The function can not solve under-determined linear systems type == _src2.type() && (type == CV_32F || type == CV_64F) m == n method == DECOMP_LU || method == DECOMP_CHOLESKY Mat static void cv::SVD::compute(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int) backSubst bool cv::eigen(cv::InputArray, cv::OutputArray, cv::OutputArray) eigen bool cv::solve(cv::InputArray, cv::InputArray, cv::OutputArray, int) solve double cv::invert(cv::InputArray, cv::OutputArray, int) invert _SVDcompute Unsupported method, see #DecompTypes method method == DECOMP_LU || method == DECOMP_SVD || method == DECOMP_EIG || method == DECOMP_CHOLESKY || method == DECOMP_QR WARNING OPENCV_LOG_LEVEL DISABLED OFF off FATAL ERROR warnings WARN warn INFO info DEBUG debug VERBOSE ERROR: Unexpected logging level value: warning WARNINGS fatal [FATAL: ] [ERROR: [ WARN: [ INFO: [DEBUG: type == v2.type() type == icovar.type() len == icovar.rows && len == icovar.cols sz == v2.size() src.channels() == 1 delta.channels() == 1 (delta.rows == src.rows || delta.rows == 1) (delta.cols == src.cols || delta.cols == 1) type == B.type() (type == (((5) & ((1 << 3) - 1)) + (((1)-1) << 3)) || type == (((6) & ((1 << 3) - 1)) + (((1)-1) << 3)) || type == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || type == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))) a_size.width == len a_size.height == len C.type() == type (((flags&GEMM_3_T) == 0 && C.rows == d_size.height && C.cols == d_size.width) || ((flags&GEMM_3_T) != 0 && C.rows == d_size.width && C.cols == d_size.height)) type == _src2.type() src1.size == src2.size type == CV_64FC2 /data/chifred/git/UtilsLib/opencv/modules/core/src/matmul.cpp void cv::mulTransposed(cv::InputArray, cv::OutputArray, bool, cv::InputArray, double, int) mulTransposed Mat gemm void cv::scaleAdd(cv::InputArray, double, cv::InputArray, cv::OutputArray) scaleAdd void cv::gemmImpl(cv::Mat, cv::Mat, double, cv::Mat, double, cv::Mat, int) gemmImpl N2cv25DummyBufferPoolControllerE N2cv15StdMatAllocatorE is_m3_vector m1.cols == m2.cols && m1.rows == m2.rows && m1.cols == m3.cols && m1.rows == m3.rows is_m1_vector is_m2_vector m1.cols == m2.cols && m1.rows == m2.rows /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix.cpp sz[i] <= (size_t)INT_MAX u->urefcount == 0 u->refcount == 0 total <= step[i] dims <= 2 _cn >= 0 && _newndims > 0 && _newndims <= CV_MAX_DIM && _newsz _cn <= CV_CN_MAX _newsz[i] >= 0 Requested and source matrices have different count of elements Reshaping of n-dimensional non-continuous matrices is not supported yet The matrix is not continuous, thus its number of rows can not be changed Bad new number of rows The total number of matrix elements is not divisible by the new number of rows The total width is not divisible by the new number of channels dims <= 2 && step[0] > 0 N2cv12MatAllocatorE cv::Size cv::getContinuousSize2D(cv::Mat&, cv::Mat&, cv::Mat&, int) getContinuousSize2D cv::Size cv::getContinuousSize2D(cv::Mat&, cv::Mat&, int) getContinuousSize2D create adjustROI Mat Mat setSize virtual void cv::MatAllocator::copy(cv::UMatData*, cv::UMatData*, int, const size_t*, const size_t*, const size_t*, const size_t*, const size_t*, bool) const copy upload download deallocate allocate diag reshape reshape locateROI total_sz m3.total() m2.total() m3.dims m2.dims m1.dims COI is not supported by the function /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_c.cpp img->dataOrder == IPL_DATA_ORDER_PIXEL img->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0 total > 0 && CV_ELEM_SIZE(seq->flags) == esz Unknown array type cvarrToMat Mat iplImageToMat bool cv::hal::Cholesky32f(float*, size_t, int, float*, size_t, int) bool cv::hal::Cholesky64f(double*, size_t, int, double*, size_t, int) int cv::hal::LU32f(float*, size_t, int, float*, size_t, int) int cv::hal::LU64f(double*, size_t, int, double*, size_t, int) int cv::hal::QR32f(float*, size_t, int, int, int, float*, size_t, float*) int cv::hal::QR64f(double*, size_t, int, int, int, double*, size_t, double*) /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_decomp.cpp CV_MAT_CN(_type) == e.a.channels() Invalid matrix initializer type /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_expressions.cpp Unknown operation N2cv10MatOp_GEMME N2cv11MatOp_AddExE N2cv11MatOp_SolveE N2cv12MatOp_InvertE N2cv14MatOp_IdentityE N2cv17MatOp_InitializerE N2cv5MatOpE N2cv7MatOp_TE N2cv9MatOp_BinE N2cv9MatOp_CmpE virtual void cv::MatOp_GEMM::add(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_GEMM::multiply(const cv::MatExpr&, double, cv::MatExpr&) const virtual void cv::MatOp_GEMM::subtract(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_GEMM::transpose(const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_AddEx::abs(const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_AddEx::add(const cv::MatExpr&, const Scalar&, cv::MatExpr&) const virtual void cv::MatOp_AddEx::divide(double, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_AddEx::multiply(const cv::MatExpr&, double, cv::MatExpr&) const virtual void cv::MatOp_AddEx::subtract(const Scalar&, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_AddEx::transpose(const cv::MatExpr&, cv::MatExpr&) const assign assign virtual void cv::MatOp_Initializer::multiply(const cv::MatExpr&, double, cv::MatExpr&) const virtual void cv::MatOp::abs(const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp::add(const cv::MatExpr&, const Scalar&, cv::MatExpr&) const virtual void cv::MatOp::add(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) const virtual int cv::MatOp::type(const cv::MatExpr&) const virtual void cv::MatOp::divide(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&, double) const virtual void cv::MatOp::divide(double, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp::multiply(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&, double) const virtual void cv::MatOp::multiply(const cv::MatExpr&, double, cv::MatExpr&) const virtual void cv::MatOp::subtract(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp::subtract(const Scalar&, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp::transpose(const cv::MatExpr&, cv::MatExpr&) const int cv::MatExpr::type() const virtual void cv::MatOp_T::multiply(const cv::MatExpr&, double, cv::MatExpr&) const virtual void cv::MatOp_T::transpose(const cv::MatExpr&, cv::MatExpr&) const assign virtual void cv::MatOp_Bin::divide(double, const cv::MatExpr&, cv::MatExpr&) const virtual void cv::MatOp_Bin::multiply(const cv::MatExpr&, double, cv::MatExpr&) const _arrays && (_ptrs || _planes) /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_iterator.cpp narrays <= 1000 arrays[i] != 0 A.step[d-1] == A.elemSize() A.size == arrays[i0]->size init _m.dims() <= 2 m.dims <= 2 && m.rows == m.cols src.size() == dst.size() && (src.cols == 1 || src.rows == 1) dst.cols == dst.rows _src.dims() <= 2 && esz <= 32 /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_operations.cpp void cv::setIdentity(cv::InputOutputArray, const Scalar&) setIdentity void cv::completeSymm(cv::InputOutputArray, bool) completeSymm void cv::transpose(cv::InputArray, cv::OutputArray) transpose (size_t)i < vv.size() i > 0 && i < sz.height i >= 0 && (size_t)i < vv.size() i < 0 i < (int)vv.size() i < sz.height Unknown/unsupported array type (flags & FIXED_TYPE) != 0 0 <= i && i < sz.height You should explicitly call mapHost/unmapHost methods for ogl::Buffer object You should explicitly call download method for cuda::GpuMat object 0 <= i && i < (int)vv.size() 0 <= i && i < (int)v.size() You should explicitly call mapDevice/unmapDevice methods for ogl::Buffer object /data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_wrap.cpp getGpuMat is available only for cuda::GpuMat and cuda::HostMem checkScalar(value, type(), arr.kind(), _InputArray::CUDA_GPU_MAT) !fixedSize() || ((UMat*)obj)->size.operator()() == _sz !fixedSize() || ((ogl::Buffer*)obj)->size() == _sz !fixedSize() || ((cuda::HostMem*)obj)->size() == _sz !fixedType() || ((Mat*)obj)->type() == mtype !fixedType() || ((UMat*)obj)->type() == mtype !fixedType() || ((cuda::GpuMat*)obj)->type() == mtype !fixedType() || ((ogl::Buffer*)obj)->type() == mtype !fixedType() || ((cuda::HostMem*)obj)->type() == mtype !fixedSize() || ((Mat*)obj)->size.operator()() == _sz !fixedSize() || ((cuda::GpuMat*)obj)->size() == _sz CV_MAT_TYPE(mtype) == m.type() m.dims == d m.size[j] == sizes[j] mtype == type0 || (CV_MAT_CN(mtype) == 1 && ((1 << type0) & fixedDepthMask) != 0) d == 2 && ((sizes[0] == sz.height && sizes[1] == sz.width) || (allowTransposed && sizes[0] == sz.width && sizes[1] == sz.height)) d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0) mtype == type0 || (CV_MAT_CN(mtype) == CV_MAT_CN(type0) && ((1 << type0) & fixedDepthMask) != 0) Vectors with element size %d are not supported. Please, modify OutputArray::create() create() called for the missing output array !fixedType() && !fixedSize() d == 2 && sz.area() == sizes[0]*sizes[1] !fixedSize() || len == vv.size() !fixedSize() || len == ((std::vector<uchar>*)v)->size() / esz !fixedSize() || len == len0 v[j].empty() !fixedSize() || ((Mat*)obj)->size.operator()() == Size(_cols, _rows) !fixedSize() || ((UMat*)obj)->size.operator()() == Size(_cols, _rows) !fixedSize() || ((cuda::GpuMat*)obj)->size() == Size(_cols, _rows) !fixedSize() || ((ogl::Buffer*)obj)->size() == Size(_cols, _rows) !fixedSize() || ((cuda::HostMem*)obj)->size() == Size(_cols, _rows) k == MAT k == STD_VECTOR_MAT || k == STD_ARRAY_MAT i < (int)v.size() Mat isContinuous dims size type empty sizend getMat_ getUMat setTo create create create release The library is compiled without OpenGL support /data/chifred/git/UtilsLib/opencv/modules/core/src/opengl.cpp throw_no_ogl | x t p l h d ` \ X T P L H D @ < 8 4 0 , ( $ p ` P @ 0 @ ? @ @@ @ @ @ @ A A A 0A @A PA `A pA A A A A A A A A A A A A A A A A B B B B B B B B B $B (B ,B 0B 4B 8B <B @B DB HB LB PB TB XB \B `B dB hB lB pB tB xB |B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C !C "C #C $C %C &C 'C (C )C *C +C ,C -C .C /C 0C 1C 2C 3C 4C 5C 6C 7C 8C 9C :C ;C <C =C >C ?C @C AC BC CC DC EC FC GC HC IC JC KC LC MC NC OC PC QC RC SC TC UC VC WC XC YC ZC [C \C ]C ^C _C `C aC bC cC dC eC fC gC hC iC jC kC lC mC nC oC pC qC rC sC tC uC vC wC xC yC zC {C |C }C ~C C !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ NULL array pointer is passed The matrix has NULL data pointer The image has NULL data pointer Images with planar data layout should be used with COI selected The image is interleaved and has over CV_CN_MAX channels Pixel order should be used with coi == 0 Unrecognized or unsupported array type Input array has NULL data pointer One of indices is out of range Invalid sparse matrix header cn <= 4 /data/chifred/git/UtilsLib/opencv/modules/core/src/array.cpp cvCloneMat cvCloneImage cvCloneMatND cvCreateData cvReleaseMat cvGetElemType cvGetImageCOI cvReleaseData cvSetImageCOI cvSetImageROI cvReleaseImage cvInitMatHeader cvCloneSparseMat cvCreateMatHeader cvCreateSparseMat cvInitImageHeader cvInitMatNDHeader cvReleaseSparseMat cvCreateMatNDHeader cvInitNArrayIterator cvInitSparseMatIterator cvPtr2D cvPtrND cvGetMat cvGetDims cvGetSize cvGetMatND icvGetNodePtr void cv::scalarToRawData(const Scalar&, void*, int, int) scalarToRawData Bad image header Bad CvMat header Bad CvMatND header src->dims <= CV_MAX_DIM _dst.data == data0 Invalid sparse array header Non-positive width or height Too big buffer is allocated Data is already allocated Overflow for imageSize unrecognized or unsupported array type invalid array data type bad number of dimensions Unsupported format Array should be CvMat or IplImage null pointer to header Bad input roi Bad input origin Bad input align Non-positive cols or rows NULL matrix header pointer NULL <sizes> pointer non-positive or too large number of dimensions one of dimesion sizes is non-positive The array is too big Incorrect number of arrays Some of required array pointers is NULL Iterator pointer is NULL Iterator with mask is not supported COI set is not allowed here Number of dimensions is the same for all arrays Data type is not the same for all arrays Number of channels is not the same for all arrays Depth is not the same for all arrays Dimension sizes are the same for all arrays index is out of range COI must be non-null in case of planar images ((CvSparseMat*)arr)->dims == 2 NULL pointer to indices rect.width >= 0 && rect.height >= 0 && rect.x < image->width && rect.y < image->height && rect.x + rect.width >= (int)(rect.width > 0) && rect.y + rect.height >= (int)(rect.height > 0) GRAY RGB BGR BGRA src && nsrcs > 0 && dst && ndsts > 0 && fromTo && npairs > 0 /data/chifred/git/UtilsLib/opencv/modules/core/src/channels.cpp j < nsrcs && src[j].depth() == depth i1 >= 0 && j < ndsts && dst[j].depth() == depth void cv::mixChannels(const cv::Mat*, size_t, cv::Mat*, size_t, const int*, size_t) mixChannels : ??? (expected: ' '), where ' ' is must be CV_8U CV_8S CV_16U CV_16S CV_32S CV_32F CV_64F CV_USRTYPE1 == != <= < >= > {custom check} not equal to less than or equal to less than greater than or equal to greater than The library is compiled without CUDA support /data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/private.cuda.hpp throw_no_cuda throw_no_cuda throw_no_cuda OPENCV_KMEANS_PARALLEL_GRANULARITY OPENCV_THREAD_POOL_ACTIVE_WAIT_PAUSE_LIMIT OPENCV_THREAD_POOL_ACTIVE_WAIT_WORKER OPENCV_THREAD_POOL_ACTIVE_WAIT_MAIN OPENCV_THREAD_POOL_ACTIVE_WAIT_THREADS_LIMIT depth >=0 && depth < 9 Invalid data type specification Too long data type specification %d%c %.8e -.Inf .Inf %d. %.16e .Nan Too complex format for the matrix Unexpected error, unable to determine the Base64 state. Unexpected error, unable to switch to this state. fs->is_write_struct_delayed == false binary The storage is not opened /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence.cpp ucwsifdr icvTypeSymbol icvDecodeFormat icvDecodeSimpleFormat switch_to_Base64_state make_write_struct_delayed icvPuts icvSymbolToType /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_base64.cpp src !dt.empty() len > 0 cnt > 0U type is not supported iss.eof() Invalid 'dt'. 'dt' does not match. Invalid pointer to file storage The file storage is opened for reading "$base64$ " buffer.size() < HEADER_SIZE ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/ cvWriteRawDataBase64 check_dt Base64Writer make_base64_header Base64ContextEmitter make_to_binary_funcs RawDataToBinaryConvertor fs Base64 should not be used at present. /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_c.cpp cvWriteInt cvReadRawData cvWriteString cvRegisterType cvWriteRawData cvEndWriteStruct cvReadRawDataSlice cvStartReadRawData cvStartWriteStruct cvGetFileNodeByName cvRead Null key element map_node != NULL The node is neither a map nor an empty collection Duplicated key Null element name The node does not represent a user object (unknown type?) Null pointers to source file node or destination array Null pointer to reader or destination array The read sequence is a scalar, thus len must be 1 The sequence element is not a numerical scalar The sequence slice does not fit an integer number of records Invalid type info Some of required function pointers (is_instance, release, read or write) are NULL Type name should contain only letters, digits, - and _ Type name should start with a letter or _ Null pointer to source file node or reader The file node should be a numerical scalar or a sequence must set 'struct_flags |= CV_NODE_SEQ' if using Base64. function 'cvStartWriteStruct' calls cannot be nested if using Base64. At the end of the output Base64, `cvEndWriteStruct` is needed. Negative number of elements Null data pointer Unsupported type At present, output Base64 data only. The key is an empty The key is too long An attempt to add element without a key to a map, or add element with key to sequence Key names may only contain alphanumeric characters [a-zA-Z0-9], '-', '_' and ' ' Key must start with a letter or _ /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_json.cpp Not supported escape character Invalid character in the stream icvJSONWrite opencv-sequence opencv-sequence-tree opencv-graph opencv-image Some of essential sequence attributes are absent curve closed hole untyped Only one of "header_user_data", "rect" and "origin" tags may occur The image data is not found in file storage The number of stored elements does not match to "count" opencv-matrix level closed hole curve untyped count The size of element calculated from "dt" and the elem_size do not match Size of sequence element (elem_size) is inconsistent with seq->flags %ui %uu Some of essential graph attributes are absent The sequence flags are invalid One of "header_dt" and "header_user_data" is there, while the other is not Graph edges should start with 2 integers and a float %df%s No edges data No vertices data Some of stored vertex indices are out of range Duplicated edge has occurred Some of essential image attributes are absent Only interleaved images can be read Some of essential matrix attributes are absent Could not determine the matrix dimensionality The matrix data is not found in file storage sizes[i] The matrix size does not match to the number of stored elements oriented vertices edges flags vertex_count vertex_dt edge_count edge_dt 2if%s top-left bottom-left planar interleaved Images with planar data layout are not supported layout roi coi opencv-nd-matrix sizes dt opencv-sequence-tree instance should contain a field "sequences" that should be a sequence seq All the sequence tree nodes should contain "level" field NULL double pointer recursive sequences Could not determine sparse matrix dimensionality Sparse matrix data is corrupted opencv-sparse-matrix header_dt The size of header calculated from "header_dt" is greater than header_size rect width color origin header_user_data /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_types.cpp icvReadMat icvReadSeq icvGetFormat icvReadGraph icvReadImage icvReadMatND icvReleaseSeq icvWriteImage icvReadSeqTree icvReleaseGraph icvReadSparseMat icvWriteHeaderData Currently only Base64 data is allowed. elements with keys can not be written to sequence A single _ is a reserved tag name Closing tag should not include any attributes Key name may only contain alphanumeric characters [a-zA-Z0-9], '-' and '_' Key should start with a letter or _ /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_xml.cpp Comments are not allowed here Too long string or a last string w/o newline icvXMLWriteScalar icvXMLWriteTag /data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_yml.cpp Key may not start with '-' Missing ':' An empty key icvYMLWrite internal error: attempted to use a function with unsupported parameters %s%s%s internal error: deflate stream corrupt out of memory 1.2.11 need dictionary stream end file error stream error data error insufficient memory buffer error incompatible version 0 w,a Q m jp5 c d 2 y +L | ~ - d jHq A } mQ V l kdz b e O\ l cc= n;^ iL A` rqg <G K k 5l B @ l 2u\ E Y= 0 &: Q Q a !# V ( _ $ |o/ LhX a =-f A v q * q 3 x4 j-=m ld \c Qkkbal 0e N b l{ W eP | bI- | eL Xa M Q :t 0 A J =m j iC n4F g ` s- D 3_L | <q P A ' % hW o f a ^ )" = Y .;\ l t9G w & s c ;d >jm Zjz ' }D h i]Wb ge q6l knv + Zz J go C ` ~ 8R O g gW ?K6 H + L J 6`z A ` U g n1y iF a f o%6 hR w G "/& U ; ( Z + j \ 1 , [ d & c ju m ?6 g r W J z + {8 |! 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GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404
long long int GNU C11 6.3.1 20170404 -march=armv7-a -mtune=cortex-a9 -mfloat-abi=hard -mfpu=vfpv3-d16 -mthumb -mtls-dialect=gnu -g -O2 -std=gnu11 -fgnu89-inline -fmerge-all-constants -frounding-math -ftls-model=initial-exec long long unsigned int unsigned char short unsigned int _IO_stdin_used short int /home/tcwg-buildslave/workspace/tcwg-make-release/builder_arch/amd64/label/tcwg-x86_64-build/target/arm-linux-gnueabihf/snapshots/glibc.git~linaro~2.23~master/csu sizetype __init_array_start size_t envp GNU C11 6.3.1 20170404 -march=armv7-a -mtune=cortex-a9 -mfloat-abi=hard -mfpu=vfpv3-d16 -mthumb -mtls-dialect=gnu -g -O2 -std=gnu11 -fgnu89-inline -fmerge-all-constants -frounding-math -fPIC -ftls-model=initial-exec elf-init.c __libc_csu_fini __fini_array_end __preinit_array_start __fini_array_start argc size __libc_csu_init argv long double __preinit_array_end __init_array_end
.symtab .strtab .shstrtab .interp .note.ABI-tag .note.gnu.build-id .hash .dynsym .dynstr .gnu.version .gnu.version_r .rel.dyn .rel.plt .init .text .fini .rodata .ARM.extab .ARM.exidx .eh_frame .init_array .fini_array .jcr .data.rel.ro .dynamic .got .data .bss .comment .ARM.attributes .debug_aranges .debug_info .debug_abbrev .debug_line .debug_frame .debug_str .debug_loc .debug_ranges
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_ZN2cvL18GEMMSingleMul_32fcEPKNS_7ComplexIfEEjS3_jS3_jPS1_jNS_5Size_IiEES6_ddi _ZNK2cv11_InputArray6getMatEi.constprop.59 _ZN2cvL12GEMMBlockMulIddEEvPKT_jS3_jPT0_jNS_5Size_IiEES7_i _ZN2cvL16GEMMBlockMul_64fEPKdjS1_jPdjNS_5Size_IiEES4_i _ZN2cvL14MulTransposedLIffEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLIhfEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLItfEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLIsfEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLIhdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLIfdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLIddEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLItdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedLIsdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIffEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIhfEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIsfEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRItfEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIfdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIhdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIddEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRIsdEEvRKNS_3MatERS1_S3_d _ZN2cvL14MulTransposedRItdEEvRKNS_3MatERS1_S3_d _ZN2cvL13GEMMSingleMulINS_7ComplexIdEES2_EEvPKT_jS5_jS5_jPS3_jNS_5Size_IiEES8_ddi _ZN2cvL18GEMMSingleMul_64fcEPKNS_7ComplexIdEEjS3_jS3_jPS1_jNS_5Size_IiEES6_ddi _ZN2cvL13GEMMSingleMulIfdEEvPKT_jS3_jS3_jPS1_jNS_5Size_IiEES6_ddi _ZN2cvL17GEMMSingleMul_32fEPKfjS1_jS1_jPfjNS_5Size_IiEES4_ddi _ZN2cvL8gemmImplENS_3MatES0_dS0_dS0_i _ZN2cvL17GEMMSingleMul_64fEPKdjS1_jS1_jPdjNS_5Size_IiEES4_ddi _ZN2cvL12callGemmImplIfEEvPKT_jS3_jS1_S3_jS1_PS1_jiiiii _ZN2cvL12callGemmImplIdEEvPKT_jS3_jS1_S3_jS1_PS1_jiiiii _ZN2cvL13GEMMSingleMulIddEEvPKT_jS3_jS3_jPS1_jNS_5Size_IiEES6_ddi _ZZN2cv13mulTransposedERKNS_11_InputArrayERKNS_12_OutputArrayEbS2_diE32__cv_trace_location_extra_fn2867 _ZZN2cv8scaleAddERKNS_11_InputArrayEdS2_RKNS_12_OutputArrayEE32__cv_trace_location_extra_fn2397 _ZZN2cvL8gemmImplENS_3MatES0_dS0_dS0_iE31__cv_trace_location_extra_fn899 _ZZN2cvL8gemmImplENS_3MatES0_dS0_dS0_iE4zero _ZZN2cvL8gemmImplENS_3MatES0_dS0_dS0_iE5zerof _ZZN2cv13mulTransposedERKNS_11_InputArrayERKNS_12_OutputArrayEbS2_diE26__cv_trace_location_fn2867 _ZZN2cv13mulTransposedERKNS_11_InputArrayERKNS_12_OutputArrayEbS2_diE19__PRETTY_FUNCTION__ _ZZN2cv8scaleAddERKNS_11_InputArrayEdS2_RKNS_12_OutputArrayEE26__cv_trace_location_fn2397 _ZZN2cv8scaleAddERKNS_11_InputArrayEdS2_RKNS_12_OutputArrayEE19__PRETTY_FUNCTION__ _ZZN2cvL8gemmImplENS_3MatES0_dS0_dS0_iE25__cv_trace_location_fn899 _ZZN2cvL8gemmImplENS_3MatES0_dS0_dS0_iE19__PRETTY_FUNCTION__ _ZZN2cv13mulTransposedERKNS_11_InputArrayERKNS_12_OutputArrayEbS2_diE8__func__ _ZZN2cv4gemmERKNS_11_InputArrayES2_dS2_dRKNS_12_OutputArrayEiE8__func__ _ZZN2cv8scaleAddERKNS_11_InputArrayEdS2_RKNS_12_OutputArrayEE8__func__ _ZZN2cvL8gemmImplENS_3MatES0_dS0_dS0_iE8__func__ _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.31 _ZN2cv7setSizeERNS_3MatEiPKiPKjb.constprop.30 _ZGVZNK2cv12MatAllocator23getBufferPoolControllerEPKcE5dummy _ZN2cv12_GLOBAL__N_114g_matAllocatorE _ZZN2cv3Mat15getStdAllocatorEvE8instance _ZZNK2cv12MatAllocator23getBufferPoolControllerEPKcE5dummy _ZZNK2cv12MatAllocator4copyEPNS_8UMatDataES2_iPKjS4_S4_S4_S4_bE30__cv_trace_location_extra_fn88 _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE15__cv_check__991 _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE19__PRETTY_FUNCTION__ _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE15__cv_check__992 _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE15__cv_check__993 _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE15__cv_check__998 _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE15__cv_check__999 _ZZN2cv19getContinuousSize2DERNS_3MatES1_iE15__cv_check__965 _ZZN2cv19getContinuousSize2DERNS_3MatES1_iE19__PRETTY_FUNCTION__ _ZZN2cv19getContinuousSize2DERNS_3MatES1_iE15__cv_check__966 _ZZN2cv19getContinuousSize2DERNS_3MatES1_iE15__cv_check__971 _ZZNK2cv12MatAllocator4copyEPNS_8UMatDataES2_iPKjS4_S4_S4_S4_bE24__cv_trace_location_fn88 _ZZNK2cv12MatAllocator4copyEPNS_8UMatDataES2_iPKjS4_S4_S4_S4_bE19__PRETTY_FUNCTION__ _ZZN2cv19getContinuousSize2DERNS_3MatES1_S1_iE8__func__ _ZZN2cv19getContinuousSize2DERNS_3MatES1_iE8__func__ _ZZN2cv3Mat6createEiPKiiE8__func__ _ZZN2cv3Mat9adjustROIEiiiiE8__func__ _ZZN2cv3MatC4ERKS0_PKNS_5RangeEE8__func__ _ZZN2cv3MatC4ERKS0_RKNS_5RangeES5_E8__func__ _ZZN2cv7setSizeERNS_3MatEiPKiPKjbE8__func__ _ZZNK2cv12MatAllocator4copyEPNS_8UMatDataES2_iPKjS4_S4_S4_S4_bE8__func__ _ZZNK2cv12MatAllocator6uploadEPNS_8UMatDataEPKviPKjS6_S6_S6_E8__func__ _ZZNK2cv12MatAllocator8downloadEPNS_8UMatDataEPviPKjS5_S5_S5_E8__func__ _ZZNK2cv15StdMatAllocator10deallocateEPNS_8UMatDataEE8__func__ _ZZNK2cv15StdMatAllocator8allocateEiPKiiPvPjiNS_14UMatUsageFlagsEE8__func__ _ZZNK2cv3Mat4diagEiE8__func__ _ZZNK2cv3Mat7reshapeEiiE8__func__ _ZZNK2cv3Mat7reshapeEiiPKiE8__func__ 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_ZZN2cv3hal5LU64fEPdjiS1_jiE19__PRETTY_FUNCTION__ _ZZN2cv3hal5QR32fEPfjiiiS1_jS1_E25__cv_trace_location_fn296 _ZZN2cv3hal5QR32fEPfjiiiS1_jS1_E19__PRETTY_FUNCTION__ _ZZN2cv3hal5QR64fEPdjiiiS1_jS1_E25__cv_trace_location_fn306 _ZZN2cv3hal5QR64fEPdjiiiS1_jS1_E19__PRETTY_FUNCTION__ matrix_iterator.cpp _ZZN2cv15NAryMatIterator4initEPPKNS_3MatEPS1_PPhiE8__func__ matrix_operations.cpp _ZN2cvL13transposeI_8uEPhji _ZN2cvL14transposeI_16uEPhji _ZN2cvL14transposeI_32sEPhji _ZN2cvL12transpose_8uEPKhjPhjNS_5Size_IiEE _ZN2cvL13transpose_16uEPKhjPhjNS_5Size_IiEE _ZN2cvL14transpose_8uC3EPKhjPhjNS_5Size_IiEE _ZN2cvL15transposeI_8uC3EPhji _ZN2cvL13transpose_32sEPKhjPhjNS_5Size_IiEE _ZN2cvL15transpose_16uC3EPKhjPhjNS_5Size_IiEE _ZN2cvL16transposeI_16uC3EPhji _ZN2cvL15transpose_32sC2EPKhjPhjNS_5Size_IiEE _ZN2cvL16transposeI_32sC2EPhji _ZN2cvL15transpose_32sC3EPKhjPhjNS_5Size_IiEE _ZN2cvL15transpose_32sC4EPKhjPhjNS_5Size_IiEE _ZN2cvL15transpose_32sC6EPKhjPhjNS_5Size_IiEE _ZN2cvL15transpose_32sC8EPKhjPhjNS_5Size_IiEE _ZN2cvL16transposeI_32sC3EPhji _ZN2cvL16transposeI_32sC4EPhji _ZN2cvL16transposeI_32sC6EPhji _ZN2cvL16transposeI_32sC8EPhji _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.202 _ZZN2cv11setIdentityERKNS_17_InputOutputArrayERKNS_7Scalar_IdEEE31__cv_trace_location_extra_fn182 _ZZN2cv12completeSymmERKNS_17_InputOutputArrayEbE31__cv_trace_location_extra_fn543 _ZZN2cv9transposeERKNS_11_InputArrayERKNS_12_OutputArrayEE31__cv_trace_location_extra_fn495 _ZN2cvL12transposeTabE _ZN2cvL19transposeInplaceTabE _ZZN2cv11setIdentityERKNS_17_InputOutputArrayERKNS_7Scalar_IdEEE25__cv_trace_location_fn182 _ZZN2cv11setIdentityERKNS_17_InputOutputArrayERKNS_7Scalar_IdEEE19__PRETTY_FUNCTION__ _ZZN2cv12completeSymmERKNS_17_InputOutputArrayEbE25__cv_trace_location_fn543 _ZZN2cv12completeSymmERKNS_17_InputOutputArrayEbE19__PRETTY_FUNCTION__ _ZZN2cv9transposeERKNS_11_InputArrayERKNS_12_OutputArrayEE25__cv_trace_location_fn495 _ZZN2cv9transposeERKNS_11_InputArrayERKNS_12_OutputArrayEE19__PRETTY_FUNCTION__ _ZZN2cv11setIdentityERKNS_17_InputOutputArrayERKNS_7Scalar_IdEEE8__func__ _ZZN2cv12completeSymmERKNS_17_InputOutputArrayEbE8__func__ _ZZN2cv9transposeERKNS_11_InputArrayERKNS_12_OutputArrayEE8__func__ opengl.cpp _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.6 _ZN12_GLOBAL__N_1L12throw_no_oglEv _ZZN12_GLOBAL__N_1L12throw_no_oglEvE8__func__ array.cpp _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.10 _ZL13icvGetNodePtrP11CvSparseMatPKiPiiPj _ZL10cvGetMatNDPKvP7CvMatNDPi _ZL5CvIPL _ZZN2cv15scalarToRawDataERKNS_7Scalar_IdEEPviiE32__cv_trace_location_extra_fn3238 _ZZL16icvGetColorModeliPPKcS1_E3tab _ZZN2cv15scalarToRawDataERKNS_7Scalar_IdEEPviiE26__cv_trace_location_fn3238 _ZZN2cv15scalarToRawDataERKNS_7Scalar_IdEEPviiE19__PRETTY_FUNCTION__ _ZZ10cvCloneMatE8__func__ _ZZ12cvCloneImageE8__func__ _ZZ12cvCloneMatNDE8__func__ _ZZ12cvCreateDataE8__func__ _ZZ12cvReleaseMatE8__func__ _ZZ13cvGetElemTypeE8__func__ _ZZ13cvGetImageCOIE8__func__ _ZZ13cvReleaseDataE8__func__ _ZZ13cvSetImageCOIE8__func__ _ZZ13cvSetImageROIE8__func__ _ZZ14cvReleaseImageE8__func__ _ZZ15cvInitMatHeaderE8__func__ _ZZ16cvCloneSparseMatE8__func__ _ZZ17cvCreateMatHeaderE8__func__ _ZZ17cvCreateSparseMatE8__func__ _ZZ17cvInitImageHeaderE8__func__ _ZZ17cvInitMatNDHeaderE8__func__ _ZZ18cvReleaseSparseMatE8__func__ _ZZ19cvCreateMatNDHeaderE8__func__ _ZZ20cvInitNArrayIteratorE8__func__ _ZZ23cvInitSparseMatIteratorE8__func__ _ZZ7cvPtr2DE8__func__ _ZZ7cvPtrNDE8__func__ _ZZ8cvGetMatE8__func__ _ZZ9cvGetDimsE8__func__ _ZZ9cvGetSizeE8__func__ _ZZL10cvGetMatNDPKvP7CvMatNDPiE8__func__ _ZZL13icvGetNodePtrP11CvSparseMatPKiPiiPjE8__func__ _ZZN2cv15scalarToRawDataERKNS_7Scalar_IdEEPviiE8__func__ channels.cpp _ZN2cvL13mixChannels8uEPPKhPKiPPhS4_ii _ZN2cvL14mixChannels16uEPPKtPKiPPtS4_ii _ZN2cvL14mixChannels32sEPPKiS1_PPiS1_ii _ZN2cvL14mixChannels64sEPPKxPKiPPxS4_ii _ZZN2cv11mixChannelsEPKNS_3MatEjPS0_jPKijE30__cv_trace_location_extra_fn97 _ZZN2cv11mixChannelsEPKNS_3MatEjPS0_jPKijE24__cv_trace_location_fn97 _ZZN2cv11mixChannelsEPKNS_3MatEjPS0_jPKijE19__PRETTY_FUNCTION__ _ZZN2cvL12getMixchFuncEiE8mixchTab _ZZN2cv11mixChannelsEPKNS_3MatEjPS0_jPKijE8__func__ check.cpp _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.33 _ZN2cv6detailL18check_failed_auto_IiEEvRKT_S4_RKNS0_12CheckContextE _ZN2cv6detailL18check_failed_auto_IiEEvRKT_RKNS0_12CheckContextE _ZZN2cv6detailL13getTestOpMathEjE6_names _ZZN2cv6detailL18getTestOpPhraseStrEjE6_names cuda_gpu_mat.cpp _ZL13throw_no_cudav _ZZL13throw_no_cudavE8__func__ cuda_host_mem.cpp cuda_stream.cpp matrix_sparse.cpp persistence.cpp _ZL7symbols _ZZ13icvTypeSymboliE8__func__ _ZZ15icvDecodeFormatPKcPiiE8__func__ _ZZ21icvDecodeSimpleFormatPKcE8__func__ _ZZ22switch_to_Base64_stateP13CvFileStorageN6base642fs5StateEE8__func__ _ZZ25make_write_struct_delayedP13CvFileStoragePKciS2_E8__func__ _ZZ7icvPutsP13CvFileStoragePKcE8__func__ _ZZL15icvSymbolToTypecE8__func__ persistence_base64.cpp _ZN6base6413base64_encodeEPKhPhjj.part.13 _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.95 _ZN6base64L14base64_mappingE _ZZ20cvWriteRawDataBase64E8__func__ _ZZN6base6412Base64Writer8check_dtEPKcE8__func__ _ZZN6base6412Base64WriterC4EP13CvFileStorageE8__func__ _ZZN6base6418make_base64_headerB5cxx11EPKcE8__func__ _ZZN6base6420Base64ContextEmitterC4EP13CvFileStorageE8__func__ _ZZN6base6424RawDataToBinaryConvertor20make_to_binary_funcsERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE8__func__ _ZZN6base6424RawDataToBinaryConvertorC4EPKviRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE8__func__ persistence_c.cpp _ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.59 _ZZ10cvWriteIntE8__func__ _ZZ13cvReadRawDataE8__func__ _ZZ13cvWriteStringE8__func__ _ZZ14cvRegisterTypeE8__func__ _ZZ14cvWriteRawDataE8__func__ _ZZ16cvEndWriteStructE8__func__ 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