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=- O O@@ %D7D DO F4D,6D ہ p  %O* LELF  $h%dl~`r!zAfBH htV ."DO  P kP {(O ,L"lhEdlt`~ !&@H hTV.B RLOJ gj6BeO* , lHeblV@~`F!$@( HR`T.DO D B9`\2o*7 `F7+pBx29B o 6`O 6+`d29Bo*6 `O 6+`O29Bo*6 `O 6+`:2\9Bo*6 `O 6+`#2P9B o(6`O&0+9@2po*5 f4'+p5"DFhBDD?f ]FLF&F)dOJ6B@cO , @XAXat@v bT rb~BV"r"g1EO*vE8s  6 `O7ElOW P `bvrHOwp=hB E XD4;6 o(7cL?Gx+ؿFTE o+F3F \DC 5keE8 o*7 cO 7${O F&F-Oh) ])O FFU[hO@\QFp%X+TQ  .NF𓂩_F)*#FfOJ3B@dO , @XaXAvt "B bT"VB""$a1GO*ӞE\ 3  hOE&O7!X!rnbv R OW 'h\ &DB 'D%DDD>DEDB8E,%%DPDB8E,&&5@A /%-uB^2(9o,h O%+Ph29@(o,d O$+@O29(o,h O$+@:29(o,h O$+@!29(o,h O$+@ 29(o,h O$+@9`2 o&d+`=? =- O O@@ %D7D DO F4D,6D ہ p  %O* LELF  $h%dl~`r!zAfBH htV ."DO  P kP {(O ,L"lhEdlt`~ !&@H hTV.B RLOJ gj6BeO* , lHeblV@~`F!$@( HR`T.DO D B9`\2o' `F+pBx29B o&`O&+`d29Bo& `O&+`O29Bo& `O&+`:2\9Bo& `O&+`#2P9B o&`O +9@2po% f4+p5"DFhBDD?f ]FLF&F)dOJ6B@cO , @XAXat@v bT rb~BV"r"g1EO*vE8s  6 `O7ElOW P `bvrHOwp=hB E XD4;6 o'cL?Gx+ؿFTE o+F3F \DC 5keE8 o' cO'${O F&F-Oh) ])O FFU[hO@\QFp%T+RQ  .NF𓂩_F)*#FfOJ3B@dO , @XaXAvt "B bT"VB""$a1GO*ӞE\ 3  hOE&O7!X!rnbv R OW 'h\ &DB 'D%DDD>DEDB8E,%%DPDB8E,&&5@A /%-uB^2(9o,x O%+Ph29@(o,t O$+@O29(o,x O$+@:29(o,x O$+@!29(o,x O$+@ 29(o,x O$+@9`2 o&t+`=? =- O O@@ %D7D DO F4D,6D ہ p  %O* LELF  $h%dl~`r!zAfBH htV ."DO  P kP {(O ,L"lhEdlt`~ !&@H hTV.B RLOJ gj6BeO* , lHeblV@~`F!$@( HR`T.DO D B9`\2o' pF+pBx29B o&pO&+`d29Bo& pO&+`O29Bo& pO&+`:2\9Bo& pO&+`#2P9B o&pO +9@2po% v4+p5"DFhBDD?f ]FLF&F)dOJ6B@cO , @XAXat@v bT rb~BV"r"g1EO*vE8s  6 `O7ElOW P `bvrHOwp=hB E XD4;6 o'sL?Gx+ؿFTE o+F3F \DC 5keE8 o' sO'${O F&F-Oh) ])O FFU[hO@\QFp%R+QQ  .NF𓂩_F)*#FfOJ3B@dO , @XaXAvt "B bT"VB""$a1GO*ӞE\ 3  hOE&O7!X!rnbv R OW 'h\ &DB 'D%DDD>DEDB8E,%%DPDB8E,&&5@A /%-uB^2(9oe,x Oe%+Ph29@(oh,t Od$+@O29(od,x Od$+@:29(od,x Od$+@!29(od,x Od$+@ 29(od,x Od$+@9`2 oh&tf+`=? =- O O@@ %D7D DO F4D,6D ہ p  %O* LELF  $h%dl~`r!zAfBH htV ."DO  P kP {(O ,L"lhEdlt`~ !&@H hTV.B RLOJ gj6BeO* , lHeblV@~`F!$@( HR`T.DO D B9`\2oj' pFw+pBx29B o`&pO`&+`d29Boj& pO`&+`O29Boj& pO`&+`:2\9Boj& pO`&+`#2P9B oh&pOf +9@2poj% v4g+p5"DFhBDD?f ]FLF&F)dOJ6B@cO , @XAXat@v bT rb~BV"r"g1EO*vE8s  6 `O7ElOW P `bvrHOwp=hB E XD4;6 oh's[L?Gx+ؿFTE o+F3F \DC 5keE8 oj' sO`'${O F&F-Oh) Z)O FFR[hO@\QFp%Q+PQ  .NF𐂩_F)'#FfOJ3B@dO , @XaXAvt "B bT"VB""$a1GO*ӞE\ 3  hOE&O7!X!rnbv R OW 'h\ &DB 'D%DDD>DEDB8E,%%DPDB8E,&&5@A /%-uB^2(9o%, O%%+Pe29@(o$( O$$+@L29( o$( O$$+@729( o$( O$$+@29( o$( O$$+@ 29( o$(  O$$+@9`2o$,4 &+`=? =-O O@@ %D7D DO F4D(6D ف p  %O* LELF  $h%dl~`r!zAfBH htV ."DO  P kP {(O ,L"lhEdlt`~ !&@H hTV.B RLOJ gj6BeO* , lHeblV@~`F!$@( HR`T.DO D B9`\2o '0F0B+w2B9`o (O &+`c29B o (O &+`N29B o (O &+`929\B o (O &+`"2PB9 o &O &+`9@2po% 5'+p7"DFhBDD?i ]FLF F)dOJ0B@gO , @XAXat@v bT rb~BV"r"g1EO*pE8G  0 cO7ElOW P `bvrHOw5hB O@E  XD4;<{o%#5+E?Gx+ؿFTE o+F3F \DC 5eE8  o&'O &$kO F&F-Oh) Z)O FFR[hO@\QFp%P+PQ  .NF𐂩_F)'#FfOJ3B@dO , @XaXAvt "B bT"VB""$a1GO*ӞE\ 3  hOE&O7!X!rnbv R OW 'h\ &DB 'D%DDD>DEDB8E,%%DPDB8E,&&5@A /%-uB^2(9o@ O+Pe29@(o@ O+@L29( o@ O+@729( o@ O+@29( o@ O+@ 29( o @ O+@9`2o@4 +`=? =-O O@@ %D7D DO F4D(6D ف p  %O* LELF  $h%dl~`r!zAfBH htV ."DO  P kP {(O ,L"lhEdlt`~ !&@H hTV.B RLOJ gj6BeO* , lHeblV@~`F!$@( HR`T.DO D B9`\2o@0FB+w2B9`o@O+`c29B o@O+`N29B o@O+`929\B o@O+`"2PB9 o@O+`9@2po@5+p7"DFhBDD?i ]FLF F)dOJ0B@gO , @XAXat@v bT rb~BV"r"g1EO*pE8G  0 cO7ElOW P `bvrHOw5hB O@E  XD4;<{o@5E?Gx+ؿFTE o+F3F \DC 5eE8  o@O$kO F&F-Oh) Z)O FFR[hO@\QFp%P+PQ  .NF𐂩_F)'#FfOJ3B@dO , @XaXAvt "B bT"VB""$a1GO*ӞE\ 3  hOE&O7!X!rnbv R OW 'h\ &DB 'D%DDD>DEDB8E,%%DPDB8E,&&5@A /%-uB^2(9o  O+Pe29@(o  O+@L29( o  O+@729( o  O+@29( o  O+@ 29( o   O+@9`2o 4 +`=? 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[J+D00mL;(D2P@N[D4IP D6RRD8 [T+D:0mV;XK(DI D@RDB [DD0cF0ZF[F5 Y$A2 l0F6" l9BOPOB3BJF.FO3%M Y^\0F FP/K[3B3F  BC Kۼ<EO <Q$@5"#D " HE DF}3K%3O{D)F1N*F ;DK$;~D,{F|'F0{Ag8kAfSQ14  | ca" 3BxF")3BL#|:4B&AeAdAaRdCQQCP`pG<AfFYF (BAbZ@0(QCR\(bihVfaȿT`i#AgSAgFfahQC2TO,`iCh#Bba*F`iFfah7T`ihGga3TcihD7ciDeaAg4 bih@ST[`ih TY 8L(QSbiA`hWgaT#Zbih VfaTAcX** AiAbZhNFaeTZX RE |:3|::3:)ӮF FO O 溱E |:3|::3:)F FO O +տ::33Կ:: +տ::33Կ::FO O #FO O # B*A`=#X +CAbZ@3#P5CR+ +(  p@󡁀biAfAj+ChST[cih TT 0 AD S  @h cihAeLAj `ST`[cih TT 0 ;AD 0`S +@29biAeQaaChA`cSTaib[Kcah ZT!X 9F!PcSNUF 5  ~D )+@HE~* C+ 0)cihO! T B+AF F F)F*FAF FpAcX++ciAbZhX`aT#AaAbcRPS2B4##-#+EAacX +eܺA`%ZfP+C#RwJ FwIzDyD2LF2FORг(@3BѴ00k0S`rbEм1  +#,0Af4 bihCST[cih T#X ;L#PSfiAe4p`aC hcSUfic[p`ah UcX ;AcPbSE~*C+?*AbAeaQCR  AeLAbcQR怲 Ab@AcD(CRubiAcZheaTZbih `aT#g !KCE !!!!!! ! !!!! !!!!<-CF MFF,}D6D  $Y$0BF49F0FGBѽ<pG@- GB MB KB Bint main(int, const char**)dumpOpenCLInformationCPUunknowniGPUdGPUYesNoN/AON{ 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 }helpverboseopencl3.4.5OpenCL Platforms: (OpenCL is not availableOpenCL device is not available/data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/opencl/opencl_info.hppCurrent 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 infoOpenCL device not availablehwOpenCV's HW features list: ID=%3d (%s) -> %s Total available: OpenCL is disabledargv1argv0argc/data/chifred/git/UtilsLib/opencv/apps/version/opencv_version.cppField KEYS could not be empty trueintboolunsignedunsigned long longfloatdoublestringunknown/unsupported parameter typecan not convert: [%s] to [%s]basic_string::_M_construct null not validUsage: %s [params] %s --, (value:%s) %s undeclared key '%s' requested/data/chifred/git/UtilsLib/opencv/modules/core/src/command_line_parser.cpperror in split_range_string(Missing parameter: '' Parameter '': from_strhasgetByNameN2cv20BufferPoolControllerEcodeStr_.empty()!codeStr_.empty()Internal error%08llxcl_intel_subgroupsbasic_string::substr%s: __pos (which is %zu) > this->size() (which is %zu)Advanced Micro Devices, Inc.Intel(R) CorporationIntelIrisNVIDIA CorporationOPENCV_OPENCL_DEVICE_MAX_WORK_GROUP_SIZEOpenCL: using workgroup size: (was OpenCL AMDOPENCV_OPENCL_DEVICEdisabledERROR: Invalid configuration string for OpenCL deviceERROR: Can't find OpenCL platform by name: GPUERROR: Requested OpenCL device not found, check configuration: ALLgpudgpuigpuacceleratorERROR: 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.cppp && d < (int)p->devices.size()vector::_M_default_appendbool cv::ocl::haveOpenCL()getDeviceN2cv7TLSDataINS_11CoreTLSDataEEEN2cv10ParseErrorEOPENCV_DUMP_ERRORSOPENCV_DUMP_CONFIG OpenCV build configuration is: %s MMXSSESSE2SSE3SSSE3SSE4.1SSE4.2POPCNTFP16AVXAVX2FMA3AVX512FAVX512BWAVX512CDAVX512DQAVX512ERAVX512IFMAAVX512PFAVX512VBMIAVX512VLNEONVSXVSX3AVX512-SKX/proc/self/auxvfeature.size() > 0OPENCV: 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_DISABLEOPENCV: 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) == 0pthread_key_create(&tlsKey, NULL) == 0pthread_key_delete(tlsKey) == 0key_ != -1 && "Can't fetch data from terminated TLS container."tlsSlotsSize == tlsSlots.size()tlsSlotsSize > slotIdxkey_ == -1Unknown 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 ----------------------------------------------------------------- TrueTRUEFalsefalseFALSEMBMbmbKBKbkblen >= 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' %sOpenCV(%s) %s:%d: error: (%d:%s) %s in function '%s' OpenCV(%s) %s:%d: error: (%d:%s) %s%sunknown functionOpenCV(%s) Error: %s (%s) in %s, file %s, line %dInvalid value for parameter vector::_M_fill_insertN2cv16TLSDataContainerE*N2cv7TLSDataINS_12_GLOBAL__N_18ThreadIDEEEN2cv9ExceptionEinitializereadSettingsreleaseSlotreserveSlotgathersetDataSetDataTlsAbstraction~TlsAbstraction~TLSDataContainerreadreadreadformatgetDatagetDatastatusNo ErrorBacktraceUnspecified errorInsufficient memoryBad argumentIterations do not convergeAutotrace callIncorrect size of input arrayNull pointerDivision by zero occurredImage step is wrongInplace operation is not supportedRequested object was not foundInput image depth is not supported by functionFormats of input arguments do not matchSizes of input arguments do not matchOne of arguments' values is out of rangeUnsupported format or combination of formatsInput COI is not supportedBad number of channelsBad flag (parameter or structure field)Bad parameter of type CvPointBad type of mask argumentParsing errorThe function/feature is not implementedMemory block has been corruptedAssertion failedNo CUDA supportGpu API callNo OpenGL supportOpenGL API callUnknown %s code %dN2cv6detail8PtrOwnerEN2cv5utils5trace7details12TraceStorageEN2cv7TLSDataINS_5utils5trace7details23TraceManagerThreadLocalEEEN2cv5utils5trace7details17AsyncTraceStorageEN2cv5utils5trace7details16SyncTraceStorageEN2cv6detail12PtrOwnerImplINS_5utils5trace7details17AsyncTraceStorageENS_14DefaultDeleterIS5_EEEEN2cv6detail12PtrOwnerImplINS_5utils5trace7details16SyncTraceStorageENS_14DefaultDeleterIS5_EEEEOPENCV_TRACEOPENCV_TRACE_DEPTH_OPENCVOPENCV_TRACE_MAX_CHILDREN_OPENCVOPENCV_TRACE_MAX_CHILDRENOpenCVTraceOPENCV_TRACE_LOCATION.txt#description: OpenCV trace file#version: 1.0Trace: Total events: Trace: Total skipped events: ctx.dummy_stack_top.region == NULL/data/chifred/git/UtilsLib/opencv/modules/core/src/trace.cppctx.stack.empty()l,%lld,"%s",%d,"%s",0x%llX b,%d,%lld,%lld,%lld,parentThread=%d,parent=%llde,%d,%lld,%lld,%lld,%lld,skip=%dptr/data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/utility.hppOpenCV parent region exceeds children count. BailoutParent region exceeds children count. BailoutRegion location is disabled. Bailoutregion->pImpl%s-%03d.txt#thread file: %s traceArgtraceArg getRefN2cv7TLSDataINS_18UMatDataAutoLockerEEEusage_count == 0usage_count == 10 <= d && d <= CV_MAX_DIM && _sizesu != 0step[dims-1] == (size_t)CV_ELEM_SIZE(flags)rangesr == Range::all() || (0 <= r.start && r.start < r.end && r.end <= m.size[i])m.dims >= 20 <= _rowRange.start && _rowRange.start <= _rowRange.end && _rowRange.end <= m.rows0 <= _colRange.start && _colRange.start <= _colRange.end && _colRange.end <= m.colsm.dims <= 20 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows0 <= _dims && _dims <= CV_MAX_DIM/data/chifred/git/UtilsLib/opencv/modules/core/src/umatrix.cpps >= 0The total matrix size does not fit to "size_t" typemapcount == 0data == datastartException: %s u->data != 0 && "Error mapping of UMat to host memory."lockreleasecv::UMat& cv::UMat::setTo(cv::InputArray, cv::InputArray)createUMatUMatUMatsetSize~UMatDatagetUMatgetMatgetRefFailed to allocate %llu bytes/data/chifred/git/UtilsLib/opencv/modules/core/src/alloc.cppOutOfMemoryErrorscn == 1/data/chifred/git/UtilsLib/opencv/modules/core/src/arithm.cppop == 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)convertAndUnrollScalarvoid 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)comparevoid cv::multiply(cv::InputArray, cv::InputArray, cv::OutputArray, double, int)void cv::subtract(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray, int)arithm_opbinary_opo@_@@@AG`cmpop == CMP_NE/data/chifred/git/UtilsLib/opencv/modules/core/src/arithm.simd.hppvoid 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_nosimdcmp_loopcmp_loopcmp_loopcmp_loopcmp_loopcmp_loopvoid 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.cppvoid cv::Mat::convertTo(cv::OutputArray, int, double, double) constconvertTocheckScalar(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.cppchannels() == CV_MAT_CN(dtype)dst.u != NULLdims > 0 && dims < CV_MAX_DIMmask.depth() == CV_8U && (mcn == 1 || mcn == cn)size() == mask.size()cvCopycv::Mat& cv::Mat::setTo(cv::InputArray, cv::InputArray)setTocv::Mat& cv::Mat::operator=(const Scalar&)operator=void cv::repeat(cv::InputArray, int, int, cv::OutputArray)repeatvoid cv::Mat::copyTo(cv::OutputArray) constcopyTovoid cv::Mat::copyTo(cv::OutputArray, cv::InputArray) constcopyTomaskarr == 0src.depth() == dst.depth() && src.size == dst.sizesrc.channels() == dst.channels()(coi1 != 0 || src.channels() == 1) && (coi2 != 0 || dst.channels() == 1)sz.widthThe sequence has NULL storage pointer/data/chifred/git/UtilsLib/opencv/modules/core/src/datastructs.cppcvClearSeqcvSeqSlicecvCreateSeqcvCreateSetcvCloneGraphcvCreateGraphcvGraphAddVtxcvSeqPopMulticvNextTreeNodecvSeqPushMulticvStartReadSeqcvCvtSeqToArraycvChangeSeqBlockcvGetSeqReaderPoscvMemStorageAlloccvSetSeqBlockSizecvSetSeqReaderPoscvGraphAddEdgeByPtrcvReleaseMemStoragecvFindGraphEdgeByPtrcvInitTreeNodeIteratorcvRestoreMemStoragePoscvSetAddcvSeqPushcvSeqSorticvGrowSeqicvGoNextMemBlockicvInitMemStorageInvalid graph pointerToo large memory block is requestedrequested size is negative or too bigStorage block size is too small to fit the sequence elementsSpecified element size doesn't match to the size of the specified element type (try to use 0 for element type)graph pointer is NULLvertex pointers coincide (or set to NULL)NULL storage pointerNULL iterator pointerNULL sequence pointernumber of removed elements is negativeInvalid sequence headerBad sequence sliceBad input sequenceNull compare function/data/chifred/git/UtilsLib/opencv/modules/core/src/lapack.cppmat.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.hpptotal() == 0 || data != NULLu.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.datarhs.data == 0 || (rhs.type() == type && rhs.rows == m)src.rows == src.colstype == CV_32F || type == CV_64F(method != DECOMP_LU && method != DECOMP_CHOLESKY) || is_normal || src.rows == src.colsThe function can not solve under-determined linear systemstype == _src2.type() && (type == CV_32F || type == CV_64F)m == nmethod == DECOMP_LU || method == DECOMP_CHOLESKYMatstatic void cv::SVD::compute(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int)backSubstbool cv::eigen(cv::InputArray, cv::OutputArray, cv::OutputArray)eigenbool cv::solve(cv::InputArray, cv::InputArray, cv::OutputArray, int)solvedouble cv::invert(cv::InputArray, cv::OutputArray, int)invert_SVDcomputeUnsupported method, see #DecompTypesmethodmethod == DECOMP_LU || method == DECOMP_SVD || method == DECOMP_EIG || method == DECOMP_CHOLESKY || method == DECOMP_QRWARNINGOPENCV_LOG_LEVELDISABLEDOFFoffFATALERRORwarningsWARNwarnINFOinfoDEBUGdebugVERBOSEERROR: Unexpected logging level value: warningWARNINGSfatal[FATAL:] [ERROR:[ WARN:[ INFO:[DEBUG:type == v2.type()type == icovar.type()len == icovar.rows && len == icovar.colssz == v2.size()src.channels() == 1delta.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 == lena_size.height == lenC.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.sizetype == CV_64FC2/data/chifred/git/UtilsLib/opencv/modules/core/src/matmul.cppvoid cv::mulTransposed(cv::InputArray, cv::OutputArray, bool, cv::InputArray, double, int)mulTransposedMatgemmvoid cv::scaleAdd(cv::InputArray, double, cv::InputArray, cv::OutputArray)scaleAddvoid cv::gemmImpl(cv::Mat, cv::Mat, double, cv::Mat, double, cv::Mat, int)gemmImplN2cv25DummyBufferPoolControllerEN2cv15StdMatAllocatorEis_m3_vectorm1.cols == m2.cols && m1.rows == m2.rows && m1.cols == m3.cols && m1.rows == m3.rowsis_m1_vectoris_m2_vectorm1.cols == m2.cols && m1.rows == m2.rows/data/chifred/git/UtilsLib/opencv/modules/core/src/matrix.cppsz[i] <= (size_t)INT_MAXu->urefcount == 0u->refcount == 0total <= step[i]dims <= 2_cn >= 0 && _newndims > 0 && _newndims <= CV_MAX_DIM && _newsz_cn <= CV_CN_MAX_newsz[i] >= 0Requested and source matrices have different count of elementsReshaping of n-dimensional non-continuous matrices is not supported yetThe matrix is not continuous, thus its number of rows can not be changedBad new number of rowsThe total number of matrix elements is not divisible by the new number of rowsThe total width is not divisible by the new number of channelsdims <= 2 && step[0] > 0N2cv12MatAllocatorEcv::Size cv::getContinuousSize2D(cv::Mat&, cv::Mat&, cv::Mat&, int)getContinuousSize2Dcv::Size cv::getContinuousSize2D(cv::Mat&, cv::Mat&, int)getContinuousSize2DcreateadjustROIMatMatsetSizevirtual 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) constcopyuploaddownloaddeallocateallocatediagreshapereshapelocateROItotal_szm3.total()m2.total()m3.dimsm2.dimsm1.dimsCOI is not supported by the function/data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_c.cppimg->dataOrder == IPL_DATA_ORDER_PIXELimg->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0total > 0 && CV_ELEM_SIZE(seq->flags) == eszUnknown array typecvarrToMatMatiplImageToMatbool 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.cppCV_MAT_CN(_type) == e.a.channels()Invalid matrix initializer type/data/chifred/git/UtilsLib/opencv/modules/core/src/matrix_expressions.cppUnknown operationN2cv10MatOp_GEMMEN2cv11MatOp_AddExEN2cv11MatOp_SolveEN2cv12MatOp_InvertEN2cv14MatOp_IdentityEN2cv17MatOp_InitializerEN2cv5MatOpEN2cv7MatOp_TEN2cv9MatOp_BinEN2cv9MatOp_CmpEvirtual void cv::MatOp_GEMM::add(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp_GEMM::multiply(const cv::MatExpr&, double, cv::MatExpr&) constvirtual void cv::MatOp_GEMM::subtract(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp_GEMM::transpose(const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp_AddEx::abs(const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp_AddEx::add(const cv::MatExpr&, const Scalar&, cv::MatExpr&) constvirtual void cv::MatOp_AddEx::divide(double, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp_AddEx::multiply(const cv::MatExpr&, double, cv::MatExpr&) constvirtual void cv::MatOp_AddEx::subtract(const Scalar&, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp_AddEx::transpose(const cv::MatExpr&, cv::MatExpr&) constassignassignvirtual void cv::MatOp_Initializer::multiply(const cv::MatExpr&, double, cv::MatExpr&) constvirtual void cv::MatOp::abs(const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp::add(const cv::MatExpr&, const Scalar&, cv::MatExpr&) constvirtual void cv::MatOp::add(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) constvirtual int cv::MatOp::type(const cv::MatExpr&) constvirtual void cv::MatOp::divide(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&, double) constvirtual void cv::MatOp::divide(double, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp::multiply(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&, double) constvirtual void cv::MatOp::multiply(const cv::MatExpr&, double, cv::MatExpr&) constvirtual void cv::MatOp::subtract(const cv::MatExpr&, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp::subtract(const Scalar&, const cv::MatExpr&, cv::MatExpr&) constvirtual void cv::MatOp::transpose(const cv::MatExpr&, cv::MatExpr&) constint cv::MatExpr::type() constvirtual void cv::MatOp_T::multiply(const cv::MatExpr&, double, cv::MatExpr&) constvirtual void cv::MatOp_T::transpose(const cv::MatExpr&, cv::MatExpr&) constassignvirtual void cv::MatOp_Bin::divide(double, const cv::MatExpr&, cv::MatExpr&) constvirtual 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.cppnarrays <= 1000arrays[i] != 0A.step[d-1] == A.elemSize()A.size == arrays[i0]->sizeinit_m.dims() <= 2m.dims <= 2 && m.rows == m.colssrc.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.cppvoid cv::setIdentity(cv::InputOutputArray, const Scalar&)setIdentityvoid cv::completeSymm(cv::InputOutputArray, bool)completeSymmvoid cv::transpose(cv::InputArray, cv::OutputArray)transpose(size_t)i < vv.size()i > 0 && i < sz.heighti >= 0 && (size_t)i < vv.size()i < 0i < (int)vv.size()i < sz.heightUnknown/unsupported array type(flags & FIXED_TYPE) != 00 <= i && i < sz.heightYou should explicitly call mapHost/unmapHost methods for ogl::Buffer objectYou should explicitly call download method for cuda::GpuMat object0 <= 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.cppgetGpuMat is available only for cuda::GpuMat and cuda::HostMemcheckScalar(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() == _szCV_MAT_TYPE(mtype) == m.type()m.dims == dm.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*)v)->size() / esz!fixedSize() || len == len0v[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 == MATk == STD_VECTOR_MAT || k == STD_ARRAY_MATi < (int)v.size()MatisContinuousdimssizetypeemptysizendgetMat_getUMatsetTocreatecreatecreatereleaseThe library is compiled without OpenGL support/data/chifred/git/UtilsLib/opencv/modules/core/src/opengl.cppthrow_no_ogl|xtplhd`\XTPLHD@<840,($  p`P@0 @?@@@@@@@AA A0A@APA`ApAAAAAAAAAAAAAAAAABBB BBBBB B$B(B,B0B4B8BC?C@CACBCCCDCECFCGCHCICJCKCLCMCNCOCPCQCRCSCTCUCVCWCXCYCZC[C\C]C^C_C`CaCbCcCdCeCfCgChCiCjCkClCmCnCoCpCqCrCsCtCuCvCwCxCyCzC{C|C}C~CC  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~NULL array pointer is passedThe matrix has NULL data pointerThe image has NULL data pointerImages with planar data layout should be used with COI selectedThe image is interleaved and has over CV_CN_MAX channelsPixel order should be used with coi == 0Unrecognized or unsupported array typeInput array has NULL data pointerOne of indices is out of rangeInvalid sparse matrix headercn <= 4/data/chifred/git/UtilsLib/opencv/modules/core/src/array.cppcvCloneMatcvCloneImagecvCloneMatNDcvCreateDatacvReleaseMatcvGetElemTypecvGetImageCOIcvReleaseDatacvSetImageCOIcvSetImageROIcvReleaseImagecvInitMatHeadercvCloneSparseMatcvCreateMatHeadercvCreateSparseMatcvInitImageHeadercvInitMatNDHeadercvReleaseSparseMatcvCreateMatNDHeadercvInitNArrayIteratorcvInitSparseMatIteratorcvPtr2DcvPtrNDcvGetMatcvGetDimscvGetSizecvGetMatNDicvGetNodePtrvoid cv::scalarToRawData(const Scalar&, void*, int, int)scalarToRawDataBad image headerBad CvMat headerBad CvMatND headersrc->dims <= CV_MAX_DIM_dst.data == data0Invalid sparse array headerNon-positive width or heightToo big buffer is allocatedData is already allocatedOverflow for imageSizeunrecognized or unsupported array typeinvalid array data typebad number of dimensionsUnsupported formatArray should be CvMat or IplImagenull pointer to headerBad input roiBad input originBad input alignNon-positive cols or rowsNULL matrix header pointerNULL pointernon-positive or too large number of dimensionsone of dimesion sizes is non-positiveThe array is too bigIncorrect number of arraysSome of required array pointers is NULLIterator pointer is NULLIterator with mask is not supportedCOI set is not allowed hereNumber of dimensions is the same for all arraysData type is not the same for all arraysNumber of channels is not the same for all arraysDepth is not the same for all arraysDimension sizes are the same for all arraysindex is out of rangeCOI must be non-null in case of planar images((CvSparseMat*)arr)->dims == 2NULL pointer to indicesrect.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)GRAYRGBBGRBGRAsrc && nsrcs > 0 && dst && ndsts > 0 && fromTo && npairs > 0/data/chifred/git/UtilsLib/opencv/modules/core/src/channels.cppj < nsrcs && src[j].depth() == depthi1 >= 0 && j < ndsts && dst[j].depth() == depthvoid cv::mixChannels(const cv::Mat*, size_t, cv::Mat*, size_t, const int*, size_t)mixChannels:??? (expected: ''), where '' is must be CV_8UCV_8SCV_16UCV_16SCV_32SCV_32FCV_64FCV_USRTYPE1==!=<=<>=>{custom check}not equal toless than or equal toless thangreater than or equal togreater thanThe library is compiled without CUDA support/data/chifred/git/UtilsLib/opencv/modules/core/include/opencv2/core/private.cuda.hppthrow_no_cudathrow_no_cudathrow_no_cudaOPENCV_KMEANS_PARALLEL_GRANULARITYOPENCV_THREAD_POOL_ACTIVE_WAIT_PAUSE_LIMITOPENCV_THREAD_POOL_ACTIVE_WAIT_WORKEROPENCV_THREAD_POOL_ACTIVE_WAIT_MAINOPENCV_THREAD_POOL_ACTIVE_WAIT_THREADS_LIMITdepth >=0 && depth < 9Invalid data type specificationToo long data type specification%d%c%.8e-.Inf.Inf%d.%.16e.NanToo complex format for the matrixUnexpected error, unable to determine the Base64 state.Unexpected error, unable to switch to this state.fs->is_write_struct_delayed == falsebinaryThe storage is not opened/data/chifred/git/UtilsLib/opencv/modules/core/src/persistence.cppucwsifdricvTypeSymbolicvDecodeFormaticvDecodeSimpleFormatswitch_to_Base64_statemake_write_struct_delayedicvPutsicvSymbolToType/data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_base64.cppsrc!dt.empty()len > 0cnt > 0Utype is not supportediss.eof()Invalid 'dt'.'dt' does not match.Invalid pointer to file storageThe file storage is opened for reading"$base64$"buffer.size() < HEADER_SIZEABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/cvWriteRawDataBase64check_dtBase64Writermake_base64_headerBase64ContextEmittermake_to_binary_funcsRawDataToBinaryConvertorfsBase64 should not be used at present./data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_c.cppcvWriteIntcvReadRawDatacvWriteStringcvRegisterTypecvWriteRawDatacvEndWriteStructcvReadRawDataSlicecvStartReadRawDatacvStartWriteStructcvGetFileNodeByNamecvReadNull key elementmap_node != NULLThe node is neither a map nor an empty collectionDuplicated keyNull element nameThe node does not represent a user object (unknown type?)Null pointers to source file node or destination arrayNull pointer to reader or destination arrayThe read sequence is a scalar, thus len must be 1The sequence element is not a numerical scalarThe sequence slice does not fit an integer number of recordsInvalid type infoSome of required function pointers (is_instance, release, read or write) are NULLType name should contain only letters, digits, - and _Type name should start with a letter or _Null pointer to source file node or readerThe file node should be a numerical scalar or a sequencemust 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 elementsNull data pointerUnsupported typeAt present, output Base64 data only.The key is an emptyThe key is too longAn attempt to add element without a key to a map, or add element with key to sequenceKey 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.cppNot supported escape characterInvalid character in the streamicvJSONWriteopencv-sequenceopencv-sequence-treeopencv-graphopencv-imageSome of essential sequence attributes are absentcurveclosedholeuntypedOnly one of "header_user_data", "rect" and "origin" tags may occurThe image data is not found in file storageThe number of stored elements does not match to "count"opencv-matrixlevel closed hole curve untypedcountThe size of element calculated from "dt" and the elem_size do not matchSize of sequence element (elem_size) is inconsistent with seq->flags%ui%uuSome of essential graph attributes are absentThe sequence flags are invalidOne of "header_dt" and "header_user_data" is there, while the other is notGraph edges should start with 2 integers and a float%df%sNo edges dataNo vertices dataSome of stored vertex indices are out of rangeDuplicated edge has occurredSome of essential image attributes are absentOnly interleaved images can be readSome of essential matrix attributes are absentCould not determine the matrix dimensionalityThe matrix data is not found in file storagesizes[i]The matrix size does not match to the number of stored elementsorientedverticesedgesflagsvertex_countvertex_dtedge_countedge_dt2if%stop-leftbottom-leftplanarinterleavedImages with planar data layout are not supportedlayoutroicoiopencv-nd-matrixsizesdtopencv-sequence-tree instance should contain a field "sequences" that should be a sequenceseqAll the sequence tree nodes should contain "level" fieldNULL double pointerrecursivesequencesCould not determine sparse matrix dimensionalitySparse matrix data is corruptedopencv-sparse-matrixheader_dtThe size of header calculated from "header_dt" is greater than header_sizerectwidthcolororiginheader_user_data/data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_types.cppicvReadMaticvReadSeqicvGetFormaticvReadGraphicvReadImageicvReadMatNDicvReleaseSeqicvWriteImageicvReadSeqTreeicvReleaseGraphicvReadSparseMaticvWriteHeaderDataCurrently only Base64 data is allowed.elements with keys can not be written to sequenceA single _ is a reserved tag nameClosing tag should not include any attributesKey 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.cppComments are not allowed hereToo long string or a last string w/o newlineicvXMLWriteScalaricvXMLWriteTag/data/chifred/git/UtilsLib/opencv/modules/core/src/persistence_yml.cppKey may not start with '-'Missing ':'An empty keyicvYMLWriteinternal error: attempted to use a function with unsupported parameters%s%s%sinternal error: deflate stream corruptout of memory1.2.11need dictionarystream endfile errorstream errordata errorinsufficient memorybuffer errorincompatible version0w,aQ mjp5c飕d2yҗ+L |~-d jHqA}mQDžӃVlkdzbeO\lcc=  n;^iLA`rqgjm Zjz  ' }Dңhi]Wbgeq6lknv+ӉZzJgo߹ﾎCՎ`~ѡ8ROggW?K6H+ L J6`zA`Ugn1yiFafo%6hRw G "/&U;( Z+j\1е,[d&c윣ju m ?6grWJz+{8 Ғ |! ӆBhn[&wowGZpj;f\ eibkaElx TN³9a&g`MGiIwn>JjѮZf @;7SŞϲG0򽽊º0S$6к)WTg#.zfJah]+o*7 Z-A1b62S-+ldEw}ZVǖAOIъ OM~-QJ#SpxAaU׮.7׵Y-6]]wll?AԞZ͢$ Faw$eڪ]]FD(koipvk19Z* ,  m86F߲]qTp0ek*1u4yީ%8S1bSWĔՖk1**ykʬHpo].*F6fcTT"eM©g0&):{ϼkZ> 8$,52F*sw1pHkQ6Fzw]cN̵J #pAF]#l8?1(BOgT~yUbL8^#ܖTZ1ObbSyOIV~P-{b-R4٠~^eGnHl/Su6: #jT$+e?yHf'*b#ٽЧ ?&~?$pi;FBzw[keZ~7 Sv8H 3?r$7jnԄYFܨ |OQ;օ U d S - 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