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q 92 99 FQ]UU NE?? LWcdd VM Y Y "% <<<< <<<<<<<<<<<<<<<i UY void cv::bitwise_and(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray) void cv::min(const cv::UMat &, const cv::UMat &, cv::UMat &) void cv::add(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray, int) void cv::divide(cv::InputArray, cv::InputArray, cv::OutputArray, double, int) void cv::addWeighted(cv::InputArray, double, cv::InputArray, double, double, cv::OutputArray, int) void cv::hal::cpu_baseline::absdiff8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int) void cv::hal::cmp16u(const ushort *, size_t, const ushort *, 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::div8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *) void cv::hal::addWeighted16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *) Bad CvMatND header The image has NULL data pointer Invalid sparse matrix header cvGetCols cvGetReal2D 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) cvCheckTermCriteria CV_16U < _Function.empty()==false MIN(x_mat.rows,x_mat.cols)==1 void cv::cpu_baseline::cvt16s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) cvSetAdd graph->storage != 0 srcA.size == dst.size && srcA.type() == dst.type() (unsigned)_labels.at(i) < (unsigned)K counters[k] != 0 method static void cv::SVD::compute(cv::InputArray, cv::OutputArray, int) subspaceReconstruct cartToPolar void cv::cartToPolar(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, bool) void cv::hal::cpu_baseline::fastAtan64f(const double *, const double *, double *, int, bool) perspectiveTransform sz == v2.size() cvCalcCovarMatrix dst.cols == data.cols empty() m1.dims cv::MatExpr cv::min(const cv::Mat &, double) cv::MatExpr cv::abs(const cv::MatExpr &) void cv::setIdentity(cv::InputOutputArray, const cv::Scalar &) _sizes && 0 < d && d <= CV_MAX_DIM Unknown/unsupported norm type You should explicitly call mapDevice/unmapDevice methods for ogl::Buffer object val > 0 uchar2 char16 depth == CV_16S || depth == CV_32S || depth == CV_32F || depth == CV_64F %d uint8 void cv::PCACompute(cv::InputArray, cv::InputOutputArray, cv::OutputArray, int) p != 0 UTF-16
%YAML:1.0
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{ Extra closing '%c' tag is missing Empty tags are not supported Tag should start with '<' status tlsSlotsSize > slotIdx OPENCV_TEMP_PATH _cn >= 0 && _newndims > 0 && _newndims <= CV_MAX_DIM && _newsz ... Line %d: trying open '%s' pImpl->lock_shared() FATAL namePartResult.m_findCrossReferences void cv::accumulateSquare(cv::InputArray, cv::InputOutputArray, cv::InputArray) NULL storage pointer virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = int, ST = int] virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = int] virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned short] virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) hysteresis void cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_b::operator()(const uchar *, uchar *, int) const vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/color_lab.cpp void cv::XYZ2RGB_i::operator()(const uchar *, uchar *, int) const void cv::hal::cvtLabtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool) void cv::hal::cpu_baseline::cvtGraytoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int) void cv::hal::cpu_baseline::cvtYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool) void cv::hal::cvtBGRtoYUV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool) connectivity == 8 step >= 0 void cv::cornerEigenValsAndVecs(cv::InputArray, cv::OutputArray, int, int, int) src.cols >= win.width*2 + 5 && src.rows >= win.height*2 + 5 void cv::distanceTransform(cv::InputArray, cv::OutputArray, cv::OutputArray, int, int, int) npoints > 0 iterator != 0 signature1 must not contain negative weights kernel.type() == DataType::type && (kernel.rows == 1 || kernel.cols == 1) virtual void cv::cpu_baseline::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::cpu_baseline::SymmRowSmallVec_8u32s] int cv::cpu_baseline::SymmColumnVec_32f::operator()(const uchar **, uchar *, int) const SymmColumnVec_32f16s preprocess2DKernel createSeparableLinearFilter vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/floodfill.cpp minScale_ > 0.0 && minScale_ < maxScale_ MWNMRQRV VMRQ NWQMTV WMNV LXRONU ROVU NWQPTPUQUV URQSPTPUQVSVUU PTRLQMRNSMRL RPRV MXVPUSTURVPUOSPQRPTQUUVV MWTMRMPNOPOSPURVTUUSTQRPPQOS LYOCNI OCVC ODSDVC NIOHQGTGVHWJWMVOTPQPOONNNMOMON TGUHVJVMUOTP MRXR VVVWWWWVVUTTRTPUOVNYN^O`QaTaV`W^W\VZTYQYN[ RTPVOYO^P`Qa TaU`V^V\UZTY F^JJQJUKWLYNZQZSYVWXUYQZJZ QFQ^ JZVFVVUYTZR[P[NZMYLVLT G\KFK[ KFTFWGXHYJYMXOWPTQKQ H]TFQGOIMLLNKRKVLYMZO[Q[TZVXXUYSZOZKYHXGVFTFRHRKSNUQWSZU\V H]OMIb NQMVMYO[Q[SZUXWT YMWTVXVZW[Y[[Y\W MWMRMSNUOVQWSWUVVUWSWR MWWHVGTFQFOGNHMJMLNNOOUSVTWVWXVZU[S\P\N[MZ D`DOGQKSPTTTYS]Q`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b RQQTRbSTRQ LMNNPMNLLM LMXM TMVNXMVLTM E`QFNGKIILHOHRIUKXNZQ[T[WZZX\U]R]O\LZIWGTFQF ROQPQQRRSRTQTPSORO RPRQSQSPRP I\MFMU NFMQ MQNOONQMTMWNXPXRWTUV TMVNWPWRTXTZU[W[YY KFNF F^NMLNKNIMHKHJIHKGLGNHOJOKNMKQJTJVKYM[P\T\W[YYZVZTYQVMUKUJVHXGYG[H\J\K[MYNXNVM JVKXMZP[T[WZYXZV G]KFK[ LIL[K[ LIY[ KFXX XFXX XFYFY[ F^LLKKKIMGPFRFOQMWLYKZI[G[FZFXGWHXGY RFOONRLWKYI[ ZGWKUMSNPO ]G\H]I^H^G]F\FZGWLVMTNPO POSPTRUYV[ PORPSRTYV[W[YZ[X LZLVNSPO SFL[ TFM[ URUSVSURTRRTOU OURVSZT[ OUQVRZT[U[XYZV MXSMRNSOTNSM PYOZP[QZ G]LML[ MMM[ WMW[ XMX[ IMPM TM[M I[P[ T[[[ WNMZ OGOFNFNGOIQJSJUIVG F\KFK[ LGLZ MFM[ XGMR PPW[ QPX[ QNY[ HFPF UF[F H[P[ T[[[ IFKG JFKH NFMH OFMG WFXG ZFXG KZI[ KYJ[ MYN[ MZO[ WYU[ WYZ[ H\JFJL QFQ[ RGRZ SFS[ ZFZL JFZF N[V[ KFJL LFJI MFJH OFJG UFZG WFZH XFZI YFZL QZO[ QYP[ SYT[ SZU[ I\WFRWQYO[ XFTSSVRX YFUSSXQZO[M[KZJXJVKULUMVMWLXKX KVKWLWLVKV TF\F UFXG VFWH ZFXH [FXG I[UMWNXOYOXNUMRMONMPLSLUMXOZR[U[XZYYXYWZU[ NPMSMUNX RMPNOONRNVOYPZR[ NTTUUTTSNT NTTT H\MWMXNXNWMW WOVQURSSQSNRLPKMKLLINGQFSFVGXIYLYRXVWXUZR[O[MZLXLWMVNVOWOXNYMY MPLNLKMI VHWIXLXRWVVX QSORNQMNMKNHOGQF SFUGVIWLWSVWUYTZR[ H]OKOJPJPLNLNJOHPGSFWFZG[I[KZMYNWOSPQQQSSTTT UFZG YGZIZKYMXNVO WFXGYIYKXMWNSPRQRSST PXOYOZP[Q[RZRYQXPX PYPZQZQYPY E_\O\N[N[P]P]N\M[MYNWPRXPZN[K[HZGXGVHTISKRPPROTMUKUITGRFPGOIOLPRQURWTZV[X[YYYX L[HZ IZHXHVITJSLR PPQSTYVZ K[JZIXIVJTKSMRRO OLPOQRSVUYWZXZYY calcBackProj_ cvThreshHist _point.type() == CV_32FC2 || _point.type() == CV_32SC2 nzSz > 0 ifunc != 0 cv2DRotationMatrix vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/linefit.cpp cvFitLine _lines1.depth() == CV_32F || _lines1.depth() == CV_32S (pointsMat.checkVector(2) > 0) && ((pointsMat.depth() == CV_32F) || (pointsMat.depth() == CV_32S)) virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec > >::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >] virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec > >::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec >] borderType == BORDER_DEFAULT void cv::boxPoints(cv::RotatedRect, cv::OutputArray) void cv::Subdiv2D::initDelaunay(cv::Rect) findNearest edgeOrg(e) == edgeOrg(o_prev) getEdge(getEdge(getEdge(e,NEXT_AROUND_LEFT),NEXT_AROUND_LEFT),NEXT_AROUND_LEFT) == e vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/sumpixels.cpp result.size() == cv::Size(std::abs(img.cols - templ.cols) + 1, std::abs(img.rows - templ.rows) + 1) && result.type() == CV_32F (!desc.rows || (desc.type() == descriptorType())) drawChessboardCorners Only 8-bit, 16-bit or floating-point 32-bit images are supported cv::Mat cv::initCameraMatrix2D(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::Size, double) bool cv::stereoRectifyUncalibrated(cv::InputArray, cv::InputArray, cv::InputArray, cv::Size, cv::OutputArray, cv::OutputArray, double) s.rows == 4 && s.cols == 1 sortedIndices.cols == 1 void cv::fisheye::estimateNewCameraMatrixForUndistortRectify(cv::InputArray, cv::InputArray, const cv::Size &, cv::InputArray, cv::OutputArray, double, const cv::Size &, double) static_cast(_objectPoints.rows() * _objectPoints.cols()) == n _normalizedImgPoints.type() == CV_64FC2 void cv::IPPE::PoseSolver::makeCanonicalObjectPoints(cv::InputArray, cv::OutputArray, cv::OutputArray) RANSACUpdateNumIters Unknown or unsupported robust estimation method Type of reprojectionError must be CV_32FC1 or CV_64FC1! The first output matrix must have the same dimensions as the input matrices backgroundRatio cn == 1 criteria.type & TermCriteria::COUNT || criteria.type & TermCriteria::EPS void cv::max(cv::InputArray, cv::InputArray, cv::OutputArray) 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::cmp64f(const double *, size_t, const double *, size_t, uchar *, size_t, int, int, int) void cv::hal::cpu_baseline::div8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *) void cv::hal::sub32f(const float *, size_t, const float *, size_t, float *, 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::recip8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *) void cv::hal::recip64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *) Overflow for imageSize Number of channels is not the same for all arrays cvScalarToRawData cvGetReal3D cvSetReal* support only single-channel arrays vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/channels.cpp void cv::mixChannels(cv::InputArrayOfArrays, cv::InputOutputArrayOfArrays, const std::vector &) equal to >= Parameter #%d: undeclared position %d requested void cv::cpu_baseline::cvt64f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt8u16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) ny > 0 && nx > 0 cvCreateChildMemStorage cvFindGraphEdgeByPtr convertToD3D11Texture2D vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/lapack.cpp u.cols >= nm && vt.rows >= nm && (w.size() == Size(nm, 1) || w.size() == Size(1, nm) || w.size() == Size(vt.rows, u.cols)) (method != DECOMP_LU && method != DECOMP_CHOLESKY) || is_normal || src.rows == src.cols bool cv::solve(cv::InputArray, cv::InputArray, cv::OutputArray, int) src.type() == dst.type() && src.rows == dst.cols && src.cols == dst.rows cvSVBkSb eigenvalues coeffs0.rows == 1 || coeffs0.cols == 1 void cv::hal::gemm32f(const float *, size_t, const float *, size_t, float, const float *, size_t, float, float *, size_t, int, int, int, int) data[i].type() == type dst.channels() == m.rows dst.channels() == m.rows-1 virtual void cv::MatOp_T::transpose(const cv::MatExpr &, cv::MatExpr &) const cv::MatExpr cv::Mat::mul(cv::InputArray, double) const static cv::MatExpr cv::Mat::zeros(cv::Size, int) void cv::vconcat(const cv::Mat *, size_t, cv::OutputArray) src.data != dst.data hdr != 0 it.ptr Unknown/unsupported array type !fixedSize() || ((UMat*)obj)->size.operator()() == _sz sizes[j] cv::Scalar cv::mean(cv::InputArray, cv::InputArray) void cv::minMaxLoc(cv::InputArray, double *, double *, cv::Point *, cv::Point *, cv::InputArray) norm uchar16 int4 double16 half2 CL_INVALID_WORK_GROUP_SIZE CL_INVALID_KERNEL_NAME src7.isMat() || src7.isUMat() depth == CV_8S || depth == CV_16S || depth == CV_32S || depth == CV_32F || depth == CV_64F OPENCV_FOR_THREADS_NUM data.channels() == 1 Only scalar types can be dynamically assigned to a file node setBufferPtr endWriteStruct Unrecognized value writeTag amp ...
randShuffle void cv::hal::cpu_baseline::split16u(const ushort *, ushort **, int, int) void cv::hal::split16u(const ushort *, ushort **, int, int) int cv::hal::normHamming(const uchar *, int) OPENCV: Trying to disable unavailable CPU feature on the current platform: '%s'.
AVX512CD void cv::UMat::copyTo(cv::OutputArray) const cv::samples::findFile('%s', %s) bilateralFilter_8u virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Luv2RGB_f] cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 5, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 5, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2Gray] void cv::hal::cpu_baseline::cvtGraytoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int) cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2YCrCb_i] cvtThreePlaneYUVtoBGR cvSubstituteContour scanner->img_step >= 0 Contour header size must be >= sizeof(CvContour) void cv::cornerHarris(cv::InputArray, cv::OutputArray, int, int, double, int) ksize > order PolyLine void cv::ellipse(cv::InputOutputArray, const cv::RotatedRect &, const cv::Scalar &, int, int) void cv::putText(cv::InputOutputArray, const cv::String &, cv::Point, int, double, cv::Scalar, int, int, bool) cvInitLineIterator signature2 must not contain negative weights srcY >= this_.startY virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec] SymmColumnSmallVec_32s16s wholeSize.width > 0 && wholeSize.height > 0 virtual int cv::FilterEngine::proceed(const uchar *, int, int, uchar *, int) findPosInHist NULL vertex array pointer n >= 0 && m >= 0 MWQPOV UPTPRQPS PSQUSVTV MWUQSPRPPQOSPURVTV MWRMPNOPOSPURVTUUSUPTNRM MWSMSV SMNSVS PTRMRQ MXQLQY TLTY OQVQ OTVT E_NWLTIRLPNM LPJRLT JRZR VWXT[RXPVM XPZRXT H\KFY[ YFK[ H\IQJOLMNMONOPNTL[ NTPPRNTMVMXOXRWWTb J[RMPNNPMSMVNYOZQ[S[UZWXXUXRWOVNTMRM KYOBOb OBVB ObVb F^[BI[[[ KYK^YF KYRJKVYVRJ MWRXWOMORX RUUP RUOP RRSP RRQP QSRQQRRSSRRQ LYVKNX WKOX OKNONKWK NXWXWTVX L[VKVX WKWX VRUPSOQOOPNRNUOWQXSXUWVU QOPPOROUPWQX TKWK VXYX KZOPNQMSMUNWPXRXUWWUXRXPWOUOTPSRRUO\ MUNVPWRWUVWTXR XQWPUPSR RUQXP\ JYKRLPMOOOPPPQM\ NOOPOQL\ PQROTOVPWRWTVVUWSXQXOVOT TOVQVTUVSX J\O\ LX I[XPVNTMPMNNNPPRSS PMONOPQRSS SSNTLVLXMZP[S[UZWX SSOTMVMXNZP[ LXRMPTOXOZP[S[UYVW SMQTPXPZQ[ G\HQIOKMNMONOPNTJb MMNNNPMTIb NTOQQNSMUMWNXOYQYTXWVZS[Q[OZNWNT WNXPXTWWUZS[ FbMb I\TFQGOJNLMOLTLXMZO[Q[TZVWWUXRYMYIXGVFTF TFRGPJOLNOMTMXNZO[ Q[SZUWVUWRXMXIWGVF NPWP E_YIK[ IO[O IU[U E`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mask.size() == imsize && mask.channels() == 1 compareHist _src.channels() <= 4 || (interpolation != INTER_LANCZOS4 && interpolation != INTER_CUBIC) getPerspectiveTransform img.isContinuous() && I1.isContinuous() && I2.isContinuous() virtual int cv::LineSegmentDetectorImpl::compareSegments(const cv::Size &, cv::InputArray, cv::InputArray, cv::InputOutputArray) The position of side B could not be determined, because gamma(b) could not be computed. int cv::cpu_baseline::(anonymous namespace)::MorphRowVec >::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec > >::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >] int cv::cpu_baseline::(anonymous namespace)::MorphVec >::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] Ptr cv::getMorphologyFilter(int, int, cv::InputArray, cv::Point) func != 0 arcLength void cv::GaussianBlur(cv::InputArray, cv::OutputArray, cv::Size, double, double, int) matchTemplate Unknown/unsupported adaptive threshold method maxCircularity vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/evaluation.cpp compute_kcontrast cum[nkeys] == n void cv::compute_derivative_kernels(cv::OutputArray, cv::OutputArray, int, int, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/matchers.cpp void cv::DescriptorMatcher::radiusMatch(cv::InputArray, std::vector > &, float, cv::InputArrayOfArrays, bool) virtual void cv::MSER_Impl::detect(cv::InputArray, vector &, cv::InputArray) img.type() == CV_8UC1 && blockSize*blockSize <= 2048 The matrices must have 32f or 64f data type The number of points in the view #%d is < 4 calibrationMatrixValues cvStereoRectifyUncalibrated nimages > 0 double cv::calibrateCamera(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::Size, cv::InputOutputArray, cv::InputOutputArray, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays, int, cv::TermCriteria) rectify3Collinear quat2rot findLongestPath updateAlt Type of _R must be CV_64FC1 _R.type() Cannot transform object points to the plane z=0! vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/levmarq.cpp (rtype == CV_32FC1 || rtype == CV_64FC1) && (ttype == CV_32FC1 || ttype == CV_64FC1) virtual void cv::StereoBMImpl::compute(cv::InputArray, cv::InputArray, cv::OutputArray) Size of projection matrices must be 3x4 m1type == CV_16SC2 || m1type == CV_32FC1 || m1type == CV_32FC2 read coarsest_scale_iteration !src.empty() image_jacobian_translation_ECC status != NULL (npoints = prevPtsMat.checkVector(2, CV_32F, true)) >= 0 prev0.size() == next0.size() && prev0.channels() == next0.channels() && prev0.channels() == 1 && pyrScale_ < 1 _flow0.size() == prev0.size() && _flow0.channels() == 2 && _flow0.depth() == CV_32F binary_op _src1.empty() == _src2.empty() ! _src.empty() void cv::hal::cpu_baseline::min64f(const double *, size_t, const double *, size_t, double *, size_t, int, int) void cv::hal::cpu_baseline::or8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int) cmpop == CMP_NE void cv::hal::cpu_baseline::div16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *) void cv::hal::absdiff8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *) void cv::hal::absdiff32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *) non-positive or too large number of dimensions Number of dimensions is the same for all arrays cvCloneSparseMat COI must be non-null in case of planar images bad dimension index The number of channels must be 1, 2, 3 or 4 Number of elements in the original and reshaped array is different BGR BGRA cvCloneImage Iterations flag is set and maximum number of iterations is <= 0 valid() fromTo.size()%2 == 0 && nsrc > 0 && ndst > 0 x_mat.type()==CV_64FC1 void cv::hal::cpu_baseline::cvt16f32f(const cv::float16_t *, float *, int) void cv::cpu_baseline::cvt16f64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt64f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) cvMerge value[0] == value[1] && value[0] == value[2] && value[0] == value[3] cvSeqPopFront cvSetRemove The vertex is not found initializeContextFromD3D11Device convertToDirect3DSurface9 OPENCV_KMEANS_PARALLEL_GRANULARITY void cv::SVBackSubst(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray) cvSVD v.type() == type v.size() == svd.vt.size() Wrong shapes for given matrices. Was size(src) = (%d,%d), size(W) = (%d,%d). Wrong shape of input matrix! Expected a matrix with one row or column. int cv::solveLP(cv::InputArray, cv::InputArray, cv::OutputArray) _roots.data == _roots0.data void cv::hal::sqrt64f(const double *, double *, int) a_size.width == len ((flags & CV_COVAR_ROWS) != 0) ^ ((flags & CV_COVAR_COLS) != 0) (delta.rows == src.rows || delta.rows == 1) double cv::Mat::dot(cv::InputArray) const cvScaleAdd vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/matrix.cpp m1.cols == m2.cols && m1.rows == m2.rows ch.size == mat.size && ch.depth() == mat.depth() && 0 <= coi && coi < mat.channels() src.size() == idx.size() && idx.type() == CV_32S && src.data != idx.data virtual void cv::MatOp::abs(const cv::MatExpr &, cv::MatExpr &) const Unknown operation setIdentity !fixedType() || ((Mat*)obj)->type() == mtype Vectors with element size %d are not supported. Please, modify OutputArray::create()
vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/merge.simd.hpp 0 < cn && cn <= CV_CN_MAX Constant nu < MAX_ARRS && m.u && m.u->urefcount > 0 q.ptr() dims <= 3 typeToStr ulong2 CL_INVALID_CONTEXT OpenCV was build without OpenGL support project #x%02x Unexpected end of the stream The written string is too long parseValue Insufficient memory MB OPENCV_TRACE_LOCATION r+ usage_count == 0 u != 0 The matrix is not continuous, thus its number of rows can not be changed _HINT= path: bool cv::utils::fs::createDirectory(const cv::String &) . void cv::utils::logging::LogTagManager::assign(const std::string &, cv::utils::logging::LogTag *) findFile OpenCV was build without VA support (libva) bilateralFilter CV_MAT_CN(sumType) == CV_MAT_CN(srcType) virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = int, T = double] virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/box_filter.dispatch.cpp void cv::blur(cv::InputArray, cv::OutputArray, cv::Size, cv::Point, int) Unsupported type vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/color.cpp void cv::hal::cvtBGRtoHSV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool) virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Luv2RGB_b] void cv::hal::cvtBGR5x5toGray(const uchar *, size_t, uchar *, size_t, int, int, int) void cv::hal::cvtRGBAtoMultipliedRGBA(const uchar *, size_t, uchar *, size_t, int, int) void cv::hal::cpu_baseline::cvtOnePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int, int) sortMatrixRowsByIndices cvFindNextContour vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/convhull.cpp NULL storage pointer scn == 1 && dcn == 3 void cv::arrowedLine(cv::InputOutputArray, cv::Point, cv::Point, const cv::Scalar &, int, int, int, double) void cv::fillConvexPoly(cv::InputOutputArray, const cv::Point *, int, const cv::Scalar &, int, int) cvPutText The array must have equal types In case of user-defined distance Distance function is undefined qualityLevel > 0 && minDistance >= 0 && maxCorners >= 0 Ptr cv::cpu_baseline::getLinearRowFilter(int, int, const cv::Mat &, int, int) Unsupported combination of buffer format (=%d), and destination format (=%d) virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec] virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec] _kernel.channels() == 1 levels_ > 0 convertTo filterMinDist minAngle_ >= 0.0 && minAngle_ < maxAngle_ && maxAngle_ <= 360.0 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/geometry.cpp p1.depth() == CV_32S || p1.depth() == CV_32F addTermWeights MWOMOV UMOS QQUV MXRMPNOPOSPURVSVUUVSVPUNSMRM STVW MWUNSMQMONOOPPTRUSUUSVQVOU MXPPOQOSPURVSVUUVSVQUPTPSQRSQY MWUSTQRPPQOSPURVTUUSUPTNRMQM PUSVRVRUSUSWRY CaGO]OXI L[GU]U LYPFSCSP RDRP OPVP MRXR VVVWWWWVVUTTRTPUOVNYN^O`QaTaV`W^W\VZTYQYN[ RTPVOYO^P`Qa TaU`V^V\UZTY G\KFK[ YFKT POY[ G]PFNGLIKKJNJSKVLXNZP[T[VZXXYVZSZNYKXIVGTFPF SWY] G]PFNGLIKKJNJSKVLXNZP[T[VZXXYVZSZNYKXIVGTFPF OPUP I\JPLNNMOMQNROSRSVR[ ZMYPXRR[P_Ob G][BIb JZRDJR RDZR JZPKLX QKMX NKUKWLXMXOWQTROR UKWMWOVQTR SRTWUXVXWW SRTSUWVX JXOX J[NONX OOOX ORPPROTOVPWRWX TOUPVRVX LOOO LXQX TXYX IYJRKPLONOOPOQMX MONPNQLX OQPPROTOVPVRS\ TOUPURR\ LXTLSLSMTMTLSKQKPLPNQPTRUS PNQOTQUSUUSW QPOROTPVSXTY OTPUSWTYT[S\Q\P[PZQZQ[P[ LXRKQLRMSLRK RMRQ RQQSRVSSRQ RVR\ POONNOOPPOTOUNVOUPTO F^KFKULXNZQ[S[VZXXYUYF LFLUMXOZQ[ HFOF VF\F H\KFR[ LFRX YFR[ IFOF UF[F F_NFKQJUJXKZN[R[UZWXXU\F OFLQKUKXLZN[ KFRF YF_F G]LMKNJPJRKUOYP[ JRKTOXP[P]O`MbLbKa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aIMI[ JMJ[ FMMM F[M[ VMSNQPPSPUQXSZV[X[[Z]X^U^S]P[NXMVM VMTNRPQSQURXTZV[ X[ZZ\X]U]S\PZNXM JTPT F^KFK[ LGLZ MFM[ WFW[ XGXZ YFY[ HFPF TF\F MPWP H[P[ T[\[ IFKG JFKH NFMH OFMG UFWG VFWH ZFYH [FYG KZI[ KYJ[ MYN[ MZO[ WZU[ WYV[ YYZ[ YZ[[ H\VNVb WOWa UNWNXMXb VPUNSMQMNNLPKSKULXNZQ[S[UZVX MPLRLVMX QMONNOMRMVNYOZQ[ Sb[b VaTb V`Ub X`Yb XaZb F^JMN[ KMNX LMOX RMOXN[ RMV[ SMVX RMTMWX ZNWXV[ GMOM WM]M HMKN NMLN XMZN \MZN I[WQWPVPVRXRXPWNUMRMONMQLTLVMYNZP[R[UZWW OONQMTMWNY RMPOOQNTNWOZP[ void cv::calcHist(cv::InputArrayOfArrays, const std::vector &, cv::InputArray, cv::OutputArray, const std::vector &, const std::vector &, bool) csz == 0 || csz == dims || (csz == 1 && _1d) it.planes[0].isContinuous() && it.planes[1].isContinuous() _dst.size() == images[0].size() && _dst.depth() == images[0].depth() The output map must be (W-w+1 x H-h+1), where the input images are (W x H) each and the patch is (w x h) max_theta _circles.isMat() || _circles.isVector() Unsupported combination of input/output matrices src.cols > 0 && src.rows > 0 cvGetPerspectiveTransform cvLinearPolar compareSegments lineEquationDeterminedByPoints hu.isContinuous() virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnNoVec] int cv::cpu_baseline::(anonymous namespace)::MorphVec >::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec > >::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec >] void cv::erode(cv::InputArray, cv::OutputArray, cv::InputArray, cv::Point, int, int, const cv::Scalar &) void cv::morphologyEx(cv::InputArray, cv::OutputArray, int, cv::InputArray, cv::Point, int, int, const cv::Scalar &) cvPyrDown void cv::resize(cv::InputArray, cv::OutputArray, cv::Size, double, double, int) src.size() == dst.size() Only 8-bit, 3-channel images are supported void cv::matchTemplate(cv::InputArray, cv::InputArray, cv::OutputArray, int, cv::InputArray) descriptors[0].cols == _descriptors.cols drawMatches dst.type() dr > FLT_EPSILON pixel && offsets vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/gftt.cpp .GFTTDetector ! img1_32.empty() options_->descriptor_channels <= max_channels dcount1 <= desc_size*8 globalDescIdx < size() radiusMatch vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/calibration.cpp cv::Mat cv::getOptimalNewCameraMatrix(cv::InputArray, cv::InputArray, cv::Size, double, cv::Size, cv::Rect *, bool) R_gripper2base.isMatVector() && t_gripper2base.isMatVector() && R_target2cam.isMatVector() && t_target2cam.isMatVector() v.type() == CV_64FC1 && v.rows == 3 && v.cols == 1 quatMinimal2rot !corners.empty() findOutsideCorners degenerate basis _K.size() == Size(3,3) && (_K.type() == CV_32F || _K.type() == CV_64F) && _D.type() == _K.type() && _D.total() == 4 estimateNewCameraMatrixForUndistortRectify imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2 D2.empty() || (D1.total() == 4) median3d cv::Mat cv::findEssentialMat(cv::InputArray, cv::InputArray, cv::InputArray, int, double, double, cv::OutputArray) void cv::convertPointsFromHomogeneous(cv::InputArray, cv::OutputArray) gamma is zero. Type of _normalizedInputPoints must be CV_32FC3 or CV_64FC3 numDisparities must be positive and divisible by 16 virtual void cv::BackgroundSubtractorKNNImpl::getBackgroundImage(cv::OutputArray) const vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/video/src/dis_flow.cpp map_matrix.type() == CV_32FC1 errMat.isContinuous() I0.sameSize(I1) void cv::hal::cpu_baseline::not8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, 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::add32f(const float *, size_t, const float *, size_t, float *, 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::div64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *) Non-positive width or height Non-positive cols or rows Input array has NULL data pointer getArrayResult empty()=true InputArrayOfArrays: void cv::extractChannel(cv::InputArray, cv::OutputArray, int) not equal to Usage: %s [params] (termcrit.type==(TermCriteria::MAX_ITER+TermCriteria::EPS) && termcrit.epsilon>0 && termcrit.maxCount>0) || ((termcrit.type==TermCriteria::MAX_ITER) && termcrit.maxCount>0) void cv::hal::cpu_baseline::addRNGBias64f(double *, const double *, int) void cv::cpu_baseline::cvt16f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt64f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16u8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) dvec[j].size() == src.size() cvConvertScale void cv::normalize(cv::InputArray, cv::InputOutputArray, double, double, int, int, cv::InputArray) sz <= sizeof(scalar) src.depth() == dst.depth() && src.size == dst.size countNonZero cvStartReadSeq cvStartAppendToSeq cvSeqPop c.factors[0] == c.factors[c.nf-1] method == DECOMP_LU || method == DECOMP_SVD || method == DECOMP_EIG || method == DECOMP_CHOLESKY || method == DECOMP_QR p == evects0.ptr() src.rows == src.cols Constr_.type()==CV_64FC1 || Constr_.type()==CV_32FC1 void cv::cpu_baseline::gemmImpl(cv::Mat, cv::Mat, double, cv::Mat, double, cv::Mat, int) void cv::cpu_baseline::gemm64f(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int) double cv::dotProd_16u(const ushort *, const ushort *, int) D.type() == A.type() (int)nelems >= 0 cv::MatExpr cv::min(const cv::Mat &, const cv::Mat &) static cv::MatExpr cv::Mat::zeros(int, int, int) m != 0 && _idx vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/matrix_operations.cpp void cv::hconcat(cv::InputArray, cv::OutputArray) m.dims <= 2 && m.rows == m.cols src.dims <= 2 && src.channels() == 1 !fixedSize() || ((Mat*)obj)->size.operator()() == _sz void cv::hal::cpu_baseline::merge16u(const ushort **, ushort *, int, int) AMD no OpenCL platform available! OpenCL: Kernel(%s)::set(arg_index=%d, flags=%d): can't create cl_mem handle for passed UMat buffer (addr=%p) p->kind_ == Impl::PROGRAM_SOURCE_CODE hash unmap u->origdata == NULL CL_MEM_OBJECT_IMAGE2D == mem_type char4 ushort16 CL_INVALID_ARG_VALUE CL_LINK_PROGRAM_FAILURE CL_DEVICE_NOT_AVAILABLE stop array([ [ parallel_for_body vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/parallel.cpp ofs <= sz readRawData can only be used to read plain sequences of numbers The key is too long Incorrect indentation The YAML streams must start with '---', except the first one Input image depth is not supported by function AVX512-CEL KB a+ Region reshape utils::findDataFile('%s', %s) WARNING accumulate vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/box_filter.simd.hpp virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) getSqrRowSumFilter magnitude virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Luv_f] void cv::RGB2Luvinterpolate::operator()(const uchar *, uchar *, int) const virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB5x5] argsort getSobelKernels vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/distransform.cpp virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = float, VecOp = cv::cpu_baseline::RowNoVec] vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/filter.dispatch.cpp int cv::cpu_baseline::FilterVec_8u::operator()(const uchar **, uchar *, int) const mask.type() == CV_8U vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/gabor.cpp MWRMNV RMVV PSTS MXOMOSPURVSVUUVSVM LXNMPV RMPV RMTV VMTV LXRMRV NOOPOSQTSTUSUPVO MWOPOV OSPQRPTQUSUV MWUNORUV MWOOUU UOOU E^P[MZJXHUGRGOHLJIMGPFTFWGYI[L\O\R[UYXVZS[P[ NJNW OJOW LJSJVKWMWNVPSQOQ SJUKVMVNUPSQ LWQW SQTRUVVWWWXV SQURVVWW G\KFK[ KFRFUGWIXKYNYSXVWXUZR[K[ I\MRORSQVOXMYKYHXFVFUGTISNRSQVPXNZL[J[IZIXJWLWNXQZT[V[YZ[X F^NLLLKKKILGNFPFRGSISLQUQXRZT[V[XZYXYVXUVU ]I]G\FZFXGVITLPUNXLZJ[H[GZGX F]KMILHJHIIGKFLFNGOIOKNOMRLVLXMZN[P[RZTXVUWSYM [FYMVWT]RbPfNgMfMdNaP^S[VY[V G]JMN[ RMN[ RMV[ ZMV[ KYPBSETHTJSMQOQPURQTQUSWTZT\S_Pb H\LKLJMHNGPFTFVGWHXJXLWNUQK[Y[ H\PBP_ TBT_ YIWGTFPFMGKIKKLMMNOOUQWRXSYUYXWZT[P[MZKX MWRHQGRFSGSIRKQL KYUARBPCNELHKLKRLUNWQXSXVWXUYR KPLMNKQJSJVKXMYPYVXZV]T_R`Oa KYNORX OORV VORXP[N\M\L[LZMZM[L[ LOQO TOXO NVRVQWRXSWRV JZWKMOWS MTWT MXWX JZMKWOMS MTWT MXWX NVQKSMSORPQORNSO KYNBPDRGTKUPUTTYR]P`Nb PDRHSKTPTTSYR\P` G\LFL[ MFM[ SLST IFYFYLXF MPSP I[Y[YUX[ H\XFK[ YFL[ LFKLKFYF K[Y[YUX[ H]ZFVTUXUZV[Y[[Y\W [FWTVXVZW[ VTVQUNSMQMNNLQKTKWLYMZO[Q[SZUWVT QMONMQLTLXMZ WF[F C`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bSb RMSMSb H[LFL[M[ LFMFM[ XMWMMW XMMX PTV[X[ QSX[ NVSLRMSNTMSL QROXOZQ[SZTYVV RRPXPZQ[ LYLVNSPRRRTSTVSXPZN[ RRSSSVRXPZ N[P\Q^QaPdNfLgKfKdLaO^R\VYYV N[O\P^PaOdNf CaHFH[ IFI[ EFLF IPPPSQTRUTUWTYSZP[E[ PPRQSRTTTWSYRZP[ [F[[ \F\[ XF_F X[_[ H\MMM[ NMN[ JMUMXNYPYQXSUT UMWNXPXQWSUT NTUTXUYWYXXZU[J[ UTWUXWXXWZU[ G]LFL[ MGMZ NFN[ IFUFXGYHZJZLYNXOUP XHYJYLXN UFWGXIXMWOUP NPUPXQYRZTZWYYXZU[I[ XRYTYWXY UPWQXSXXWZU[ JFLG KFLH OFNH PFNG LZJ[ LYK[ NYO[ NZP[ H]ZH[H\F[L[JZHYGWFTFQGOIMLLOKSKVLYMZP[S[UZWXXV QHOJNLMOLSLWMY TFRGPJOLNOMSMXNZP[ H\SMQMNNLPKSKULXNZQ[S[VZXXYUYSXPVNSMPLNKMJMHNGPFSFWH MPLSLUMX WXXUXSWP QMONNOMRMVNYOZQ[ S[UZVYWVWRVOUNOKNJNIOHQGTGWH G\WMQb XMRb WMYMSb UTUQTNRMPMMNKQJTJVKYLZN[P[RZSYTWUT MOLQKTKWLY PMNOMQLTLWMZN[ NbVb RaOb R`Pb S`Tb RaUb KYUBSDQGOKNPNTOYQ]S`Ub QHPKOOOUPYQ\ SDRFQIPOPUQ[R^S` H]XNWPVQTRQROQNPMNMKNIPGSFVFXGYHZKZNYRXUVXTZQ[N[LZKXKVMVMXLXLW OPNNNKOI XHYJYNXRWUUX QRPQOOOKPHQGSF VFWGXIXNWRVUUWSZQ[ MXPXOYOZP[Q[RZRYQXPX PYPZQZQYPY H]TBL_ YBQ_ ZKZJYJYL[L[JZHYGVFRFOGMIMLNNPPVSWUWXVZ NLONVRWT OGNINKOMUPWRXTXWWYVZS[O[LZKYJWJULULWKWKV JZZBXCUERHPKNOMSMXN\O_Qb SHQKOONTN\ ZBWDTGRJQLPOOSN\ NTO]P`Qb Resultant image must have 32fC1 type Wrong type of output circles void cv::remap(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, int, int, const cv::Scalar &) matchShapes contour.depth() == CV_32S || contour.depth() == CV_32F int cv::cpu_baseline::(anonymous namespace)::MorphRowVec >::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] _kernel.type() == CV_8U normalizeAnchor Unknown interpolation method filterByArea noShortPairs_ < indSize halfsample void cv::evaluateFeatureDetector(const cv::Mat &, const cv::Mat &, const cv::Mat &, std::vector *, std::vector *, float &, int &, const Ptr &) detect void cv::nld_step_scalar_one_lane(const cv::Mat &, const cv::Mat &, cv::Mat &, float, int, int) void cv::AKAZEFeatures::Compute_Keypoints_Orientation(std::vector &) const Compute_Descriptors getLocalIdx Specified descriptor matcher type is not supported. depth == CV_8U || depth == CV_16U || depth == CV_32F Input matrix must be 1x3, 3x1 or 3x3 cvCalibrateCamera2Internal getDegree (P.empty() || P.depth() == CV_32F || P.depth() == CV_64F) && (R.empty() || R.depth() == CV_32F || R.depth() == CV_64F) ComputeExtrinsicRefine D1.empty() || (D1.total() == 4) A.type() == CV_64FC1 && B.type() == CV_64FC1 int cv::estimateAffine3D(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, double, double) J.isContinuous() && J.cols == 6 vec_rvecs.size() == vec_tvecs.size() The fundamental matrix must be a 3x3 matrix Unknown projection type map.cols == 3 map.rows ==3 dst.type() == CV_32FC1 nextPtsMat.checkVector(2, CV_32F, true) == npoints prevPyr[level * lvlStep1].size() == nextPyr[level * lvlStep2].size() void cv::VariationalRefinementImpl::subtractOp(void *, void *, void *) my_object OutOfMemoryError The upper boundary is neither an array of the same size and same type as src, nor a scalar cvOr void cv::hal::cpu_baseline::add16u(const ushort *, size_t, const ushort *, size_t, ushort *, 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::min32f(const float *, size_t, const float *, size_t, float *, 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::recip16s(const short *, size_t, short *, size_t, int, int, const double *) void cv::hal::sub8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *) Invalid matrix type The image is interleaved and has over CV_CN_MAX channels Pixel order should be used with coi == 0 get total(-1)=%lld void cv::cpu_baseline::cvt32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) cvConvertScaleAbs cvRestoreMemStoragePos cvCreateSeq cvMakeSeqHeaderForArray cvEndWriteSeq start slice index is out of range vertex pointers coincide (or set to NULL) Invalid graph pointer NULL iterator pointer bool cv::Cholesky(float *, size_t, int, float *, size_t, int) Computation will probably fail. OPENCV_LOG_LEVEL pt == NULL cvCartToPolar void cv::hal::fastAtan32f(const float *, const float *, float *, int, bool) getMahalanobisImplFunc vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/matmul.dispatch.cpp (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))) double cv::dotProd_64f(const double *, const double *, int) virtual void cv::MatOp::add(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &) const arrays[i] != 0 trace transpose OpenCL: Kernel(%s)::set(arg_index=%d): negative arg_index deallocate_ char3 double2 convert_%s CL_INVALID_D3D10_DEVICE_KHR CL_INVALID_SAMPLER CL_PROFILING_INFO_NOT_AVAILABLE src9.isMat() || src9.isUMat() OpenCL runtime not found! parallel_for vectors %.4e Too complex format for the matrix getNodePtr current_type == NONE || current_type == type type == FileNode::SEQ || type == FileNode::MAP convertToCollection rawSize Some collection type: FileNode::SEQ or FileNode::MAP must be specified getDefaultObjectName Invalid fs.state Currently, JSON parser does not support base64 data data.isSeq() _ apos opencv_storage Literal " is not allowed within a string. Use " writeScalar !!%s The wrong closing bracket An empty key void cv::hal::cpu_baseline::split64s(const int64 *, int64 **, int, int) int cv::hal::normHamming(const uchar *, const uchar *, int) int cv::cpu_baseline::sum16u(const ushort *, const uchar *, int *, int, int) 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.
OPENCV: Trying to disable unknown CPU feature: '%s'.
No CUDA support SSE2 FMA3 AVX5124VNNIW ,skip=%d s >= 0 u->data != 0 && "Error mapping of UMat to host memory." accumulateSquare virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double] virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = double] void cv::Canny(cv::InputArray, cv::OutputArray, double, double, int, bool) void cv::RGB2Lab_b::operator()(const uchar *, uchar *, int) const virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB5x5] cvtOnePlaneYUVtoBGR void cv::hal::cvtBGRtoTwoPlaneYUV(const uchar *, size_t, uchar *, uchar *, size_t, int, int, int, bool, int) sz.width % 2 == 0 && sz.height % 2 == 0 cv::LUT only supports tables CV_8UC1 or CV_8UC3. img.cols == imgLabels.cols NULL double CvSeq pointer Input array must be 8uC1 or 8sC1 getScharrKernels cvSobel src.type() == CV_8UC1 && dst.type() == CV_32FC1 cvGetTextSize virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = float, VecOp = cv::cpu_baseline::RowNoVec] int cv::cpu_baseline::SymmColumnVec_32f16s::operator()(const uchar **, uchar *, int) const virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32s16s] _kernel.type() == DataType::type templDy_.type() == templDx_.type() && templDy_.size() == templEdges_.size() MWRMNV RMVV LXRMRV PONPNSPTTTVSVPTOPO OVUMSSRUQVPVOUOT LXRMPNOONQNSOUPVRVTUUTVRVPUNTMRM MWUQSPRPPQOSPURVSVUU MWRPPQOSPURVTUUSTQRP MXNQOPQPRQRSQW VPURSTQWPY NWTMSNSOTP UPSPQQPSPUQVSWSXRYQY KYTMRY MQNPOPPQPUQVTVUUVSWP MVQMNV OSPQQPSPTQTRSTSUTVUV KYTPTSUTVTWSWQVOUNSMQMONNOMQMSNUOVQWSWUV TQSPQPPQPSQTSTTS LXNPVP NTVT LYPFSCSP RDRP OPVP MRXR OVOWNWNVOUQTTTVUWWVYTZ TTUUVWUYTZ RZTZV[W]W^V`TaQaO`N_N^O^O_ TZU[V]V^U`Ta JZWNTLRIPLMN PLRJTL RJRZ WVTXR[PXMV PXRZTX KXOMO[ OSPPRNTMWM JZTFRGQHQIRJUKXK UKRLPMOOOQQSTTVT TTPUNVMXMZO\S^T_TaRbPb E_IO[O IU[U MWRKQMOPMR RKSMUPWR JZZGXGUHSIPLONNQNUOXPZQ[S[TZUXVUVQUNTLQIOHLGJG D`DUDO`O`U KYQKNLLNKQKSLVNXQYSYVXXVYSYQXNVLSKQK J[PKLX QKMX XKTX YKUX NKSK VK[K OQVQ JXOX RXWX NVSKPVPWQXSXTWUU TKQVQWRX QKTK KYPKP[ TKT[ MQWQ MUWU KZPBSETHTJSMQOQPURQTQUSWTZT\S_Pb RDSGSKRN RVSYS]R` F]OFI[ PFJ[ ]FLS SOW[ ROV[ LFSF YF_F F[M[ S[Y[ G\HQIOKMNMONOQMWMYO[ MMNNNQLWLYMZO[Q[SZUXWT ZMV[U^SaPbMbKaJ`J_K^L_K` YMU[T^RaPb JZMNMQ WNWQ MNWN MOWO MPWP MQWQ E_GFM[ GFHFMX RFMX RIM[ RIW[ RFWX ]F\FWX ]FW[ G\HJJGLFMFOHOKNOLVLYM[ MFNHNKLRKVKYM[N[QZTWVTXPYMZIZGYFXFWGVIVLWNYP[Q]Q JZLMR[ LMMMRY XMWMRY XMR[ Cb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nimages > 0 && dims > 0 cvCalcArrHist _src.type() == CV_8UC1 min_theta dp, min_dist, canny_threshold and acc_threshold must be all positive numbers HoughCirclesGradient dstm1type == CV_16SC2 || dstm1type == CV_32FC1 || dstm1type == CV_32FC2 _src.total() > 0 cvRemap Unknown distance !sz.empty() vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/median_blur.dispatch.cpp anchor.inside(Rect(0, 0, ksize.width, ksize.height)) depth == CV_8U || depth == CV_16U || depth == CV_16S || depth == CV_32F || depth == CV_64F getStructuringElement createHanningWindow ksize.width > 0 && ksize.width % 2 == 1 && ksize.height > 0 && ksize.height % 2 == 1 edgeDst(e) == edgeDst(d_next) blockSize % 2 == 1 && blockSize > 1 The matrix can not be converted to point sequence because of inappropriate element type void cv::AGAST(cv::InputArray, std::vector &, int, bool) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/brisk.cpp (srcimg.cols / 3) * 2 == dstimg.cols virtual void cv::Feature2D::detectAndCompute(cv::InputArray, cv::InputArray, std::vector &, cv::OutputArray, bool) virtual void cv::Feature2D::detect(cv::InputArray, std::vector &, cv::InputArray) evolution_.size() > 0 void cv::DescriptorMatcher::knnMatch(cv::InputArray, std::vector > &, int, cv::InputArrayOfArrays, bool) .MSER CV_ARE_TYPES_EQ(A, dABdA) && dABdA->rows == A->rows*B->cols && dABdA->cols == A->rows*A->cols Both object points and image points must be 2D the output array of rotation vectors must be 3-channel 1xn or nx1 array or 1-channel nx3 or nx9 array, where n is the number of views t.rows == 4 && t.cols == 1 The desired functionality requires flann module, which was disabled. belowSeeds.size() == aboveSeeds.size() computePredecessorMatrix h >= 2 && w >= 2 lines.size() == lines0.size() !imagePoints.empty() && (imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2) !objectPoints.empty() && !imagePoints1.empty() && !imagePoints2.empty() !row.empty() && row.rows == 1 cameraMatrix.rows == 3 && cameraMatrix.cols == 3 && cameraMatrix.channels() == 1 Unknown estimation method _pointsMask.empty() || _pointsMask.type() == CV_8U vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/ippe.cpp _normalizedImgPoints.rows() == 1 || _normalizedImgPoints.cols() == 1 dataType == CV_32FC2 || dataType == CV_32FC3 || dataType == CV_64FC2 || dataType == CV_64FC3 _targetPoints.type() A.type() == CV_64F && A.rows == lx findInliers checkSubset length > 0 findStereoCorrespondenceBM preFilterCap mode _w.data == (uchar*)&w.val[0] && _u.data == (uchar*)&u.val[0] && _vt.data == (uchar*)&vt.val[0] The second output matrix must have the same dimensions as the input matrices apply varMax shadowThreshold ofs.x >= winSize.width && ofs.y >= winSize.height && ofs.x + prevPyr[lvlStep1].cols + winSize.width <= fullSize.width && ofs.y + prevPyr[lvlStep1].rows + winSize.height <= fullSize.height virtual void cv::(anonymous namespace)::SparsePyrLKOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray) Both input images must have either 8uC1 or 8uC3 type !flow_u.empty() && flow_u.depth() == CV_32F && flow_u.channels() == 1 lb.type() == ub.type() cvCmp void cv::hal::cpu_baseline::div16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *) void cv::hal::add16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *) void cv::hal::max8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *) NULL array pointer is passed Invalid sparse array header The output header should be CvMatND cvResetImageROI refcount_future == 0 obj=NULL void cv::insertChannel(cv::InputArray, cv::InputOutputArray, int) can not convert: [%s] to [%s] void cv::cpu_baseline::cvt64f32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt32f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) nz > 0 dims > 0 && dims < CV_MAX_DIM borderInterpolate cvSeqRemoveSlice convertFromDirect3DSurface9 void cv::idct(cv::InputArray, cv::OutputArray, int) eigenNonSymmetric ] bool cv::checkRange(cv::InputArray, bool, cv::Point *, double, double) void cv::hal::invSqrt32f(const float *, float *, int) void cv::hal::exp32f(const float *, float *, int) void cv::cpu_baseline::gemm32f(const float *, size_t, const float *, size_t, float, const float *, size_t, float, float *, size_t, int, int, int, int) cv::TransformFunc cv::getTransformFunc(int) void cv::perspectiveTransform(cv::InputArray, cv::OutputArray, cv::InputArray) vecarr != 0 is_m2_vector CV_IS_IMAGE(arr) centers.cols == data.cols centers.depth() == data.depth() labels.isContinuous() && labels.type() == CV_32S && (labels.cols == 1 || labels.rows == 1) && labels.cols + labels.rows - 1 == data.rows virtual void cv::MatOp_GEMM::multiply(const cv::MatExpr &, double, cv::MatExpr &) const virtual void cv::MatOp_Bin::multiply(const cv::MatExpr &, double, cv::MatExpr &) const virtual void cv::MatOp_AddEx::multiply(const cv::MatExpr &, double, cv::MatExpr &) const dims <= 2 && m.dims <= 2 && size() == m.size() && tp == m.type() && ((rows == 3 && cols == 1) || (cols*channels() == 3 && rows == 1)) !fixedSize() || ((Mat*)obj)->size.operator()() == Size(_cols, _rows) void cv::hal::cpu_baseline::merge64s(const int64 **, int64 *, int, int) clEnqueueNDRangeKernel('%s', dims=%d, globalsize=%zux%zux%zu, localsize=%s) sync=%s source u->mapcount-- == 1 u->refcount == 0 && "UMat deallocation error: some derived Mat is still alive" CL_INVALID_D3D10_RESOURCE_KHR CL_INVALID_COMMAND_QUEUE src8.isMat() || src8.isUMat() mapGLBuffer uint16 OPENCV_THREAD_POOL_ACTIVE_WAIT_WORKER : Can't create thread mutex: res = j.current_task >= j.range.size() job->is_completed retainedVariance > 0 && retainedVariance <= 1 ']' - right-brace of seq is missing Abort at parse time i idx_k >= 0 Key should start with a letter or _ Invalid character in the stream Null string pointer Invalid numeric value (inconsistent explicit type specification?) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/split.dispatch.cpp void cv::split(cv::InputArray, cv::OutputArrayOfArrays) int cv::cpu_baseline::sum8s(const schar *, const uchar *, int *, int, int) %s OpenCV(%s) %s:%d: error: (%d:%s) %s%s
General configuration for OpenCV 4.1.1 =====================================
Version control: unknown
Platform:
Timestamp: 2019-09-22T12:34:43Z
Host: Windows 10.0.17763 AMD64
Target: Android 1 armv7-a
CMake: 3.11.0-rc4
CMake generator: MinGW Makefiles
CMake build tool: C:/MinGW/bin/mingw32-make.exe
Configuration: Release
CPU/HW features:
Baseline:
requested: DETECT
C/C++:
Built as dynamic libs?: NO
C++ Compiler: C:/NDK/android-ndk-r16b/toolchains/arm-linux-androideabi-4.9/prebuilt/windows-x86_64/bin/arm-linux-androideabi-g++.exe (ver 4.9.0)
C++ flags (Release): -fexceptions -frtti -Wno-psabi --sysroot=C:/NDK/android-ndk-r16b/platforms/android-21/arch-arm -funwind-tables -finline-limit=64 -fsigned-char -no-canonical-prefixes -march=armv7-a -mfloat-abi=softfp -mfpu=vfpv3-d16 -fdata-sections -ffunction-sections -Wa,--noexecstack -DANDROID -D__ANDROID_API__=21 -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 -Wsign-promo -Wuninitialized -Winit-self -Wno-delete-non-virtual-dtor -Wno-comment -Wno-missing-field-initializers -fdiagnostics-show-option -fomit-frame-pointer -fvisibility=hidden -fvisibility-inlines-hidden -mthumb -fomit-frame-pointer -fno-strict-aliasing -O3 -DNDEBUG -DNDEBUG
C++ flags (Debug): -fexceptions -frtti -Wno-psabi --sysroot=C:/NDK/android-ndk-r16b/platforms/android-21/arch-arm -funwind-tables -finline-limit=64 -fsigned-char -no-canonical-prefixes -march=armv7-a -mfloat-abi=softfp -mfpu=vfpv3-d16 -fdata-sections -ffunction-sections -Wa,--noexecstack -DANDROID -D__ANDROID_API__=21 -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 -Wsign-promo -Wuninitialized -Winit-self -Wno-delete-non-virtual-dtor -Wno-comment -Wno-missing-field-initializers -fdiagnostics-show-option -fomit-frame-pointer -fvisibility=hidden -fvisibility-inlines-hidden -marm -fno-omit-frame-pointer -fno-strict-aliasing -O0 -g -DDEBUG -D_DEBUG -DDEBUG -D_DEBUG
C Compiler: C:/NDK/android-ndk-r16b/toolchains/arm-linux-androideabi-4.9/prebuilt/windows-x86_64/bin/arm-linux-androideabi-gcc.exe
C flags (Release): -fexceptions -Wno-psabi --sysroot=C:/NDK/android-ndk-r16b/platforms/android-21/arch-arm -funwind-tables -finline-limit=64 -fsigned-char -no-canonical-prefixes -march=armv7-a -mfloat-abi=softfp -mfpu=vfpv3-d16 -fdata-sections -ffunction-sections -Wa,--noexecstack -DANDROID -D__ANDROID_API__=21 -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 -Wuninitialized -Winit-self -Wno-comment -Wno-missing-field-initializers -fdiagnostics-show-option -fomit-frame-pointer -fvisibility=hidden -mthumb -fomit-frame-pointer -fno-strict-aliasing -O3 -DNDEBUG -DNDEBUG
C flags (Debug): -fexceptions -Wno-psabi --sysroot=C:/NDK/android-ndk-r16b/platforms/android-21/arch-arm -funwind-tables -finline-limit=64 -fsigned-char -no-canonical-prefixes -march=armv7-a -mfloat-abi=softfp -mfpu=vfpv3-d16 -fdata-sections -ffunction-sections -Wa,--noexecstack -DANDROID -D__ANDROID_API__=21 -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 -Wuninitialized -Winit-self -Wno-comment -Wno-missing-field-initializers -fdiagnostics-show-option -fomit-frame-pointer -fvisibility=hidden -marm -fno-omit-frame-pointer -fno-strict-aliasing -O0 -g -DDEBUG -D_DEBUG -DDEBUG -D_DEBUG
Linker flags (Release): -Wl,--fix-cortex-a8 -Wl,--no-undefined -Wl,-allow-shlib-undefined -Wl,--gc-sections -Wl,-z,noexecstack -Wl,-z,relro -Wl,-z,now
Linker flags (Debug): -Wl,--fix-cortex-a8 -Wl,--no-undefined -Wl,-allow-shlib-undefined -Wl,--gc-sections -Wl,-z,noexecstack -Wl,-z,relro -Wl,-z,now
ccache: NO
Precompiled headers: NO
Extra dependencies: z dl m log
3rdparty dependencies: libcpufeatures ittnotify libprotobuf libjpeg-turbo libwebp libpng libtiff libjasper IlmImf quirc
OpenCV modules:
To be built: calib3d core dnn features2d flann highgui imgcodecs imgproc java ml objdetect photo stitching ts video videoio
Disabled: world
Disabled by dependency: -
Unavailable: gapi js python2 python3
Applications: tests perf_tests
Documentation: NO
Non-free algorithms: NO
Android NDK: location: C:/NDK/android-ndk-r16b
Android ABI: armeabi-v7a
NDK toolchain: arm-linux-androideabi-4.9
STL type: gnustl_static
Native API level: 21
Android SDK: C:/Users/semarose/AppData/Local/Android/Sdk (tools: 26.1.1 build tools: 27.0.3)
GUI:
Media I/O:
ZLib: z (ver 1.2.3)
JPEG: build-libjpeg-turbo (ver 2.0.2-62)
WEBP: build (ver encoder: 0x020e)
PNG: build (ver 1.6.37)
TIFF: build (ver 42 - 4.0.10)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 2.3.0)
HDR: YES
SUNRASTER: YES
PXM: YES
PFM: YES
Video I/O:
Parallel framework: pthreads
Trace: YES (with Intel ITT)
Other third-party libraries:
Custom HAL: NO
Protobuf: build (3.5.1)
Python (for build): C:/Users/semarose/AppData/Local/Programs/Python/Python36/python.exe
Java: export all functions
ant: NO
Java wrappers: YES
Java tests: NO
Install to: C:/opencv411_Android/build_armeabiV7_WithNeon_NoCarotene/install
-----------------------------------------------------------------
/data/local/tmp/__opencv_temp.XXXXXX ,parentThread=%d,parent=%lld The total number of matrix elements is not divisible by the new number of rows handle vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/utils/filesystem.cpp virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double] CV_MAT_CN(sumType) == CV_MAT_CN(dstType) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/clahe.cpp cvtColor vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/color.simd_helpers.hpp L.channels() == 1 && I.channels() == 1 [Start]FindContours supports only CV_8UC1 images when mode != CV_RETR_FLOODFILL otherwise supports CV_32SC1 images only ci.isContinuous() labelType == DIST_LABEL_PIXEL || labelType == DIST_LABEL_CCOMP LineIterator cvGoodFeaturesToTrack int cv::cpu_baseline::SymmRowSmallVec_8u32s::operator()(const uchar *, uchar *, int, int) const virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::cpu_baseline::SymmRowSmallVec_8u32s] bufType == srcType Number of channels in input image must be 1 or 3 int cv::floodFill(cv::InputOutputArray, cv::InputOutputArray, cv::Point, cv::Scalar, cv::Rect *, cv::Scalar, cv::Scalar, int) minWeight > 0 _model must have CV_64FC1 type, rows == 1 and cols == 13*componentsCount MWNMRV VMRV MWOMUM PQTR TQPR OVUV MWNLVX NVOPRV UPRV NUSMQSQURVSV PPTP MWPORMRV PURMRR SMSR RURVSVSURU LXSOVRSU NRVR I[KFYF OPUP K[Y[ C_HMFLEJEIFGHFIFKGLILLK[ UFK[ UFS[ aF_G\JYNVTS[ G]IL[b JZWOVNTMQMONOPPRSS SSOTMVMXNZP[S[UZWX JYTFRGQHQIRJUKXK XKTMQONRMUMWNYP[S]T_TaSbQbP` F]NMLNJQITIWJZK[M[OZQW RSQWRZS[U[WZYWZTZQYNXM L\UUTSRRPRNSMTLVLXMZO[Q[SZTXZF VRUWUZV[W[YZZY\V PWSMSNTNTMSM PVRRPXPZQ[R[TZUYWV KYTBQEPHPJQMSOSPORSTSUQWPZP\Q_Tb F^[FYGVHSHPGNFLFJGIIIKKMMMOLPJPHNF [FI[ YTWTUUTWTYV[X[ZZ[X[VYT D`DUGSKQPPTPYQ]S`U KYMKRX NKRU WKRX KKPK TKYK KZWLXLYKXNWLUKRKPLOMOOPPUSVT ONPOURVSVVUWSXPXNWMULXMWNW KZMHX\ I[LOOX MOOU ROOX ROUX SOUU XOUX JOOO VOZO KXRKPMOOMUK\ QLPNNTL\ RKTKVLVNUPRQ TKULUNTPRQ RQTRUTUVTWRXQXOWNT RQSRTTTVRX LXVPTOQOOPOQPRRS QOPPPQRS RSOTNUNWPXSXUW RSPTOUOWPX F_PKQLQMRMRLPKMKKLJNJX MKLLKNKX [KUKSLRNRX UKTLSNSX YKZLZX [K[X HOZO HXMX PXUX XX]X JYNKNU OKNR NROPQOSOUPVQVTTVTXUYVYWX SOUQUTTV LKOK KYU@RCPFOIOLPOSVTYT\S_Ra RCQEPHPKQNTUUXU[T^RaOd I\KKKILGMFOFPGQIRMR[ KIMGOGQI ZKZIYGXFVFUGTISMS[ ZIXGVGTI O[V[ I[WML[ XMM[ MMLQLMXM L[X[XWW[ G]KFKULXNZQ[S[VZXXYUYF KFLFLUMXNYQZSZVYWXXUXFYF L[LVNSPO QLHg RLIg OUQSSRTRVSVUUXUZV[ TRUSUUTXTZV[XZYY[V H\PFMGLILKMMNNPOTPVQWRXTXWWYTZPZMYLWLTMRNQPPTOVNWMXKXIWGTFPF NGMIMKNMPNTOVPXRYTYWXYWZT[P[MZLYKWKTLRNPPOTNVMWKWIVG WHTGPGMH LXOZ UZXX MXTZS[R[QZQYRXSXTYT\S^Q_ RYRZSZSYRY S[T\ TZS^ KZSFQGPIPKQMSNUNWMXKXIWGUFSF G^LML[ LMR[ MMRY XMR[ XMX[ YMY[ IMMM XM\M I[O[ U[\[ I\XNYOZNYMXMVNUO QMONNOMQMSNUOVQWSWUVVUWSWQVOUNSMQM OONQNSOU UUVSVQUO QMPNOPOTPVQW SWTVUTUPTNSM NUMVLXLYM[N\Q]U]X^Y_ N[Q\U\X] LYMZP[U[X\Y^Y_XaUbObLaK_K^L\O[ ObMaL_L^M\O[ H\JGKFMFOGQIXXYZZ[ OHPIWXXY MFNGOIVXXZZ[[[ RMJZJ[K[RM I[MVQUTTWRXPWNUMRMONMQLTLVMYNZP[R[UZWX OONQMTMWNY RMPOOQNTNWOZP[ KXUFUHWHWFUF VFVH UGWG MQNOPMRMSNTPTSRZQ]P_NaLbJbIaI_K_KaJaJ` SNSSQZP]O_ SPRTP[O^N`Lb H\SIS[ THTZ UFU[ UFJUZU P[X[ SZQ[ SYR[ UYV[ UZW[ E`VNULSKQKOLNMMOMRNTOUQVSVUUVS OMNONROT QKPLOOORPUQV VKVSWUYVZV\U]R]O\L[JYHWGTFQFNGLHJJILHOHRIUJWLYNZQ[T[WZYYXYWZ WLWSXU VKXKXSYUZV H]OKOJPJPLNLNJOHPGSFVFYGZIZKYMWOMUKWI[ XGYIYKXMVOSQ VFWGXIXKWMUOMU JYKXMXRYWYXX MXRZWZ MXR[U[WZXXXW dims > 0 && histSize channels != 0 || nimages == dims calcSparseHist_ calcBackProject double cv::compareHist(cv::InputArray, cv::InputArray, int) Too small number of histograms scale must be positive M.size() == M0.size() src.size == dst.size int cv::cpu_baseline::(anonymous namespace)::MorphVec >::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] src1.type() == CV_32FC1 || src1.type() == CV_64FC1 pyrUp_ void cv::cpu_baseline::GaussianBlurFixedPoint(const cv::Mat &, cv::Mat &, const uint16_t *, int, const uint16_t *, int, int) void cv::adaptiveThreshold(cv::InputArray, cv::OutputArray, double, int, int, int, double) (descriptors.empty() || descriptors.cols() == descriptorSize()) outImg has size less than need to draw img1 and img2 together int cv::getNearestPoint(const std::vector &, float) Get_MSURF_Descriptor_64 Unknown matcher name 0 <= level wta_k == 2 || wta_k == 3 || wta_k == 4 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/ap3p.cpp vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/calibinit.cpp bool cv::findCirclesGrid(cv::InputArray, cv::Size, cv::OutputArray, int, const Ptr &, const cv::CirclesGridFinderParameters &) CV_IS_MAT(A) && CV_IS_MAT(B) CV_IS_MAT(_tvec1) && CV_IS_MAT(_tvec2) void cvFindExtrinsicCameraParams2(const CvMat *, const CvMat *, const CvMat *, const CvMat *, CvMat *, CvMat *, int) object points and image points must be a single-row matrices the output array of standard deviations vectors must be 1-channel 1x(n*6 + NINTRINSIC + m*3) or (n*6 + NINTRINSIC + m*3)x1 array, where n is the number of views, NINTRINSIC = 18, m is the number of object points per view collectCalibrationData R.type() == CV_64FC1 && R.rows >= 3 && R.cols >= 3 A.channels() == 1 && B.channels() == 1 basisGraphs[0].getVerticesCount() == basisGraphs[1].getVerticesCount() !centers.empty() _tvec.getMat().isContinuous() && _rvec.getMat().isContinuous() void cv::fisheye::distortPoints(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, double) K.empty() || (K.size() == Size(3,3)) D.empty() || (D.total() == 4) (!K1.empty() && !K2.empty() && !D1.empty() && !D2.empty()) || !(flags & CALIB_FIX_INTRINSIC) _normalizedImgPoints.type() model.rows % nmodels == 0 count >= 0 && to.checkVector(2) == count estimateAffine2D npoints >= 3 && npoints == ipoints.checkVector(2, CV_64F) textureThreshold virtual void cv::StereoSGBMImpl::compute(cv::InputArray, cv::InputArray, cv::OutputArray) Ar.size() == Size(3,3) || Ar.size() == Size(4, 3) Ptr cv::(anonymous namespace)::getInitUndistortRectifyMapComputer(cv::Size, cv::Mat &, cv::Mat &, int, const double *, cv::Matx33d &, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double) initialize void cv::BackgroundSubtractorMOG2Impl::getBackgroundImage_intern(cv::OutputArray) const [T = unsigned char, CN = 1] !templateImage.empty() warpMatrix must be single-channel floating-point matrix update.type() == CV_32FC1 update.isContinuous() src1.size()==src2.size() dst.cols == (src1.cols*3) image_jacobian_homo_ECC maxLevel >= 0 && winSize.width > 2 && winSize.height > 2 estimateRigidTransform vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/video/src/optflowgf.cpp virtual void cv::VariationalRefinementImpl::calcUV(cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::InputOutputArray) void cv::max(const cv::Mat &, const cv::Mat &, cv::Mat &) void cv::hal::cpu_baseline::sub32f(const float *, size_t, const float *, size_t, float *, size_t, int, int) void cv::hal::add16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *) void cv::hal::recip16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *) invalid array data type The matrix is not continuous so the number of rows can not be changed cvInitImageHeader Bad input origin scalarToRawData void cv::cpu_baseline::cvt64s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16s32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) cvRepeat vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/include/opencv2/core/private.cuda.hpp getTypeFromDXGI_FORMAT !cvIsNaN(res) && !cvIsInf(res) int cv::LU(float *, size_t, int, float *, size_t, int) Wrong mean shape for the given eigenvector matrix. Expected %d, but was %zu. solveLP pow void cv::pow(cv::InputArray, double, cv::OutputArray) void cv::hal::cpu_baseline::sqrt32f(const float *, float *, int) cv::TransformFunc cv::getDiagTransformFunc(int) data[i].size() == size double cv::dotProd_32s(const int *, const int *, int) (D.rows == ((flags & 1) == 0 ? A.rows : A.cols)) reserve m3.dims iplImageToMat int cv::hal::QR64f(double *, size_t, int, int, int, double *, size_t, double *) static cv::MatExpr cv::Mat::ones(int, int, int) A.step[d-1] == A.elemSize() reduce sort void cv::sort(cv::InputArray, cv::OutputArray, int) erase !fixedSize() || ((cuda::HostMem*)obj)->size() == Size(_cols, _rows) checkScalar(value, type(), arr.kind(), _InputArray::CUDA_GPU_MAT) double cv::PSNR(cv::InputArray, cv::InputArray, double) setUseSVM getBufferPoolController u->origdata == data u->originalUMatData->data == data CL_INVALID_ARG_SIZE fs.isOpened() %s(%d): %s dt --> void cv::hal::split32s(const int *, int **, int, int) OpenCV(%s) Error: %s (%s) in %s, file %s, line %d Bad flag (parameter or structure field) SSSE3 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/trace.cpp region->pImpl usage_count == 1 channels() == CV_MAT_CN(dtype) Copy dimension (which has zero size) is not present in source matrix Requested and source matrices have different count of elements .\ accumulateWeighted void cv::cpu_baseline::bilateralFilterInvoker_8u(cv::Mat &, const cv::Mat &, int, int, int *, float *, float *) (src.type() == CV_8UC1 || src.type() == CV_8UC3) && src.data != dst.data vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/blend.cpp void cv::RGB2XYZ_f::operator()(const float *, float *, int) const void cv::hal::cvtXYZtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool) void cv::Lab2RGB_b::operator()(const uchar *, uchar *, int) const RGB2Gray cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE] void cv::hal::cpu_baseline::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int) void cv::findContours(cv::InputArray, cv::OutputArrayOfArrays, int, int, cv::Point) void cv::cornerMinEigenVal(cv::InputArray, cv::OutputArray, int, int, int) cornerSubPix void cv::demosaicing(cv::InputArray, cv::OutputArray, int, int) radius >= 0 && thickness <= MAX_THICKNESS && 0 <= shift && shift <= XY_SHIFT int cv::cpu_baseline::RowVec_8u32s::operator()(const uchar *, uchar *, int, int) const getLinearColumnFilter int cv::cpu_baseline::SymmColumnVec_32s8u::operator()(const uchar **, uchar *, int) const virtual void cv::cpu_baseline::SymmColumnSmallFilter, cv::cpu_baseline::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::SymmColumnVec_32s8u] sepFilter2D processTempl calcEdges templDx_.type() == CV_32FC1 && templDx_.size() == templEdges_.size() maxFlow LXRMPNOONQNSOUPVRVTUUTVRVPUNTMRM QVPUPTQSRSSTTVUWVW MWOMOV OSPQRPTQUSUV MWUPUY USTQRPPQOSPURVTUUS NVRMRUSVTVUU PPTP NVQMPNPPQQSQTPTNSMQM LXVRURTSSURVOVNUNSORRQSPSNRMPMONOPQSSUUVVV LYOEOFNFNEODQCTCVDWFVHTIQJOKNMNP TCUDVFUHTI NOONPNSOVOWN PNSPVPWNWM MRXR OVOWNWNVOUQTTTVUWWVYTZ TTUUVWUYTZ RZTZV[W]W^V`TaQaO`N_N^O^O_ TZU[V]V^U`Ta F^YXWZU[R[PZMXKWIWHXHZI[K[MZOWPURQTKWGYFZF[G\H[IZH[G[FZFYFWGVHTLRPPVNZMZ OPUP HYLFL[ L[X[ I[KKKILGMFOFPGQIRMR[ YKYIXGWFUFTGSIRM H\H[JZLXOTQQSMTJTGSFRFQGPIPKQMSOVQXSYUYWXYWZT[P[MZKXJVJT I\XMX]W`VaTbQbOa XPVNTMQMONMPLSLUMXOZQ[T[VZXX L[UUTSRRPRNSMTLVLXMZO[Q[SZ VRUUSZPaOdOfPgRfScS\U[XY[V H\VFNb QMNNLPKSKVLXNZQ[S[VZXXYUYRXPVNSMQM KYVBTDRGPKOPOTPYR]T`Vb G]KKYY YKKY MWWRWQVOUNSMQMONNOMQMR MWMMWW I[RGRV MJWP WJMP IVL\ [VX\ IV[V L\X\ I[IPKR LKNP RGRO XKVP [PYR G]PGMHJJHMGPGTHWJZM\P]T]W\ZZ\W]T]P\MZJWHTGPG J[NKNX OKOX VKVX WKWX LKYK LXQX TXYX K[MKRQ NKSQMX MKWKXOVK NWWW MXWXXTVX KXMONOPPS[T\ NOOPR[T\U\ VOTRNYL\ MWSKSLTLTKSK NROPPOROSPSRRURWSX QORPRRQUQWRXTXUWVU LYQKOLNONTOWQXTXVWWTWOVLTKQK QKPLOOOTPWQX TXUWVTVOULTK JZLKRX MKRV XKRX LKXK NLWL F^KFK[ LFL[ XFX[ YFY[ HFOF UF\F LPXP H[O[ U[\[ LYUFTGUHVGUF MQNOPMSMTNTQRWRZS[ RMSNSQQWQZR[U[WYXW BcRGQHRISHRGPFMFJGHIGLG[ MFKGIIHLH[ ]G\H]I^H]G[FXFUGSIRLR[ XFVGTISLS[ ]M][ ^M^[ DM^M D[K[ O[V[ Z[a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b NHMJLNLa QFOGNIMNMb QFSFVGWHXJXLWNVOSP PPTPWQXRYTYWXYWZT[Q[OZNYMW VHWJWLVN WRXTXWWY SFUGVIVMUOSP TPVQWSWXVZT[ KbMb void cv::calcHist(const cv::Mat *, int, const int *, cv::InputArray, cv::SparseMat &, int, const int *, const float **, bool, bool) H1.type() == H2.type() && H1.depth() == CV_32F Bin ranges should go in ascenting order Internal error fabs(normL2Sqr(intersection[minI] - intersection[minJ]) - minD) < 1e-6 void cv::cpu_baseline::medianBlur_8u_O1(const cv::Mat &, cv::Mat &, int) void cv::cpu_baseline::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinMax8u, VecOp = cv::cpu_baseline::(anonymous namespace)::MinMaxVec8u] updateSideB int cv::cpu_baseline::(anonymous namespace)::MorphRowVec >::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] int cv::cpu_baseline::(anonymous namespace)::MorphRowVec >::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphNoVec] pyrUp cvReleasePyramid The number of extra layers must be non negative vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/rotcalipers.cpp src.type() == CV_8UC3 && dst.type() == CV_32SC1 The input and output images must have the same size count >= 0 && (depth == CV_32F || depth == CV_32S) ktype == CV_32F || ktype == CV_64F int cv::Subdiv2D::insert(cv::Point2f) minRepeatability evaluateFeatureDetector (pattern_size & 1) == 0 maxSize >= 0 patchSize >= 2 virtual void cv::ORB_Impl::detectAndCompute(cv::InputArray, cv::InputArray, std::vector &, cv::OutputArray, bool) bool cv::findChessboardCorners(cv::InputArray, cv::Size, cv::OutputArray, int) (int)distCoeffs0.total() <= outputSize stereoCalibrate does not support CALIB_USE_EXTRINSIC_GUESS. CV_IS_MAT(_imagePoints1) && CV_IS_MAT(_imagePoints2) && CV_IS_MAT(_objectPoints) && CV_IS_MAT(_npoints) && CV_IS_MAT(matR) && CV_IS_MAT(matT) adjust3rdMatrix undistorted.type() == CV_32FC2 || undistorted.type() == CV_64FC2 m1type == CV_16SC2 || m1type == CV_32F || m1type <=0 void cv::fisheye::initUndistortRectifyMap(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, const cv::Size &, int, cv::OutputArray, cv::OutputArray) void cv::computeCorrespondEpilines(cv::InputArray, int, cv::InputArray, cv::OutputArray) push_back void cv::solvePnPRefine(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::InputOutputArray, cv::SolvePnPRefineMethod, cv::TermCriteria, double) texture threshold must be non-negative Number of proj points coordinates must be == 2 CV_IS_MAT(new_points2) m1 != NULL && m2 != NULL A.size() == Size(3,3) && A.size() == R.size() undistortPoints map_matrix.rows == 2 && update.rows == 2 map_matrix.isContinuous() const cv::Mat &cv::KalmanFilter::correct(const cv::Mat &) virtual void cv::detail::LKTrackerInvoker::operator()(const cv::Range &) const levels1 >= 0 virtual void cv::(anonymous namespace)::FarnebackOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputOutputArray) itr nfJ SUM(r^2) x dx l lc vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/alloc.cpp void cv::max(const cv::UMat &, const cv::UMat &, cv::UMat &) 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::div64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *) void cv::hal::cpu_baseline::recip8s(const schar *, size_t, schar *, size_t, int, int, const double *) void cv::hal::add8u(const uchar *, size_t, const uchar *, 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::mul16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *) Data is already allocated Images with planar data layout should be used with COI selected Non-positive or too large number of dimensions cvReshape cvReleaseImageHeader vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/batch_distance.cpp InputArrayOfArrays: noArray() CV_32F cvReleaseMemStorage cvSeqPopMulti cvInsertNodeIntoTree vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/directx.cpp vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/glob.cpp N method == DECOMP_LU || method == DECOMP_CHOLESKY eigen cvDet cvSolve p == evals0.ptr() The number of samples must equal the number of labels. Given %zu labels, %d samples. void cv::polarToCart(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, bool) void cv::log(cv::InputArray, cv::OutputArray) void cv::sqrt(cv::InputArray, cv::OutputArray) Angle.size() == X.size() && Angle.type() == X.type() cvSolvePoly nsamples > 0 void cv::calcCovarMatrix(cv::InputArray, cv::OutputArray, cv::InputOutputArray, int, int) double cv::dotProd_16s(const short *, const short *, int) cvGEMM data.cols <= evects.rows m1.cols == m2.cols && m1.rows == m2.rows && m1.cols == m3.cols && m1.rows == m3.rows 0 <= coi && coi < mat.channels() idx0.data == idx.data virtual void cv::MatOp_AddEx::transpose(const cv::MatExpr &, cv::MatExpr &) const int cv::MatExpr::type() const hconcat getConvertElem i < sz.height getMatVector !fixedSize() || ((cuda::HostMem*)obj)->size() == _sz !fixedType() || ((cuda::HostMem*)obj)->type() == mtype mtype == type0 || (CV_MAT_CN(mtype) == 1 && ((1 << type0) & fixedDepthMask) != 0) k == STD_VECTOR_CUDA_GPU_MAT move void cv::hal::cpu_baseline::merge32s(const int **, int *, int, int) getProfilingQueue addUMat p && d < (int)p->devices.size() uchar uchar8 char2 ulong8 CL_INVALID_KERNEL_ARGS kernelToStr checkOptimalVectorWidth cn == 2 || cn == 3 || cn == 4 !flag && "OpenVX support isn't enabled at compile time"
Comments are not allowed here = 0 _HINT is specified but it is not a directory: /\ INFO VERBOSE false approxPolyDP virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::HSV2RGB_f] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::XYZ2RGB_i] void cv::hal::cpu_baseline::cvtRGBAtoMultipliedRGBA(const uchar *, size_t, uchar *, size_t, int, int) virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::YCrCb2RGB_f] cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE] cvtColorYUV2Gray_ch vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/colormap.cpp img.rows == imgLabels.rows _contours.empty() || (_contours.channels() == 2 && _contours.depth() == CV_32S) 0 <= hcurr && hcurr < npoints Floating-point coordinates are not supported here preCornerDetect cvLaplace bool cv::clipLine(cv::Size2l, cv::Point2l &, cv::Point2l &) icvInitEMD virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::cpu_baseline::SymmRowSmallVec_32f] createLinearFilter void cv::filter2D(cv::InputArray, cv::OutputArray, int, cv::InputArray, cv::Point, double, int) !hasVotes || voteOutBuf_.size() == oldSize j>=0 && j<(int)vtcs.size() JYKPLPMQMSLV MSNQOPQPRQRSQV RSSQTPVPWQWRVTVUWVXV MWONUROV OUTKQKQYTY OUPKRNSQSSRVPY LXNNOQOSNV VNUQUSVV NNQOSOVN NVQUSUVV LYPFSCSP RDRP OPVP MRXR SVSa TTTa TTM]X] QaVa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aSbQbPa ULQONRMUMWNYP[ KYUBNRUb JZNFNX VLV^ NNVL NOVM NWVU NXVV H]LFL[ MGMZ LFSFVGXIYKZNZSYVXXVZS[L[ MGSGVHWIXKYNYSXVWXVYSZMZ H]KHJJJLKNNOQOUNWMYKZIZGYFWFTGQJOMMQLULXMZP[R[UZWXXVXTWRURSSRU WFUGRJPMNQMUMXNZP[ G\ZHYJWOVRUTSWQYOZL[ SLRNPONOMMMKNIPGSF]F[GZHYKXOVUTXQZL[H[GZGXHWJWLXOZQ[T[WZYX VFZG[G I[MTXTXQWOVNTMQMONMPLSLUMXOZQ[T[VZXX MSWSWQVOTNQNOONPMSMUNXOYQZTZVYWWXX H\XMWMW\V_U`SaQaO`N_L_ XMX\W_UaSbPbNa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b LNLa MMMb VMVXWZX[Z[[Z\X WNWXXZY[ XMXXYZZ[ MXNZP[R[TZUYVW KMMM VMXM KbMb F^[FYGVHSHPGNFLFJGIIIKKMMMOLPJPHNF [FH[ [FI[ [FJ[ YTWTUUTWTYV[X[ZZ[X[VYT OGLFIIJLMMPJOG NFJGIK KMOLPH ZUWTTWUZX[[XZU YTUUTY V[ZZ[V H[J[ calcHist cvGetMinMaxHistValue One of histograms is sparse and other is not step must be greater than 0 (M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 2 && M0.cols == 3 int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec > >::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec >] _filter == CV_GAUSSIAN_5x5 && src.type() == dst.type() src.type() == dst.type() rotatingCalipers cvArcLength void cv::Subdiv2D::insert(const std::vector &) getEdge(getEdge(getEdge(e,NEXT_AROUND_RIGHT),NEXT_AROUND_RIGHT),NEXT_AROUND_RIGHT) == e Input array is not a valid matrix !img.empty() .FastFeatureDetector nbits <= ssz && "Descriptor size can't be bigger than full descriptor (486 = 162*3 - 3 channels)" float cv::compute_kcontrast(cv::InputArray, cv::InputArray, float, int) Create_Nonlinear_Scale_Space CV_MAT_TYPE(_rvec1->type) == CV_32F || CV_MAT_TYPE(_rvec1->type) == CV_64F Instrinsic parameters must be 3x3 floating-point matrix The intrinsic matrix must have [fx 0 cx; 0 fy cy; 0 0 1] shape dtype == CV_16SC3 || dtype == CV_32SC3 || dtype == CV_32FC3 objectPoints should contain vector of vectors of points of type Point3f ni == ni1 CALIB_USE_INTRINSIC_GUESS flag is set, but the camera matrix is not 3x3 R_gripper2base_.size() >= 3 qmult it1->first != *it2 dm.type() == CV_32SC1 filterOutliersByDensity rectifyGrid void cv::internal::projectPoints(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, const cv::internal::IntrinsicParams &, cv::OutputArray) !_objectPoints.empty() && _objectPoints.type() == CV_64FC3 sampsonDistance setMaxIters vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/ptsetreg.cpp findCorner vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/include/opencv2/core/mat.inl.hpp FindStereoCorrespInvoker D % 16 == 0 P2 m1 != NULL undistort void cv::undistort(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, cv::InputArray) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/video/src/bgfg_gaussmix2.cpp Input window has non-positive sizes int cv::meanShift(cv::InputArray, cv::Rect &, cv::TermCriteria) update.cols == 1 !I1.empty() && I1.channels() == 1 virtual void cv::VariationalRefinementImpl::RedBlackSOR_ParBody::operator()(const cv::Range &) const The operation is neither 'array op array' (where arrays have the same size and type), nor 'array op scalar', nor 'scalar op array' void cv::min(cv::InputArray, cv::InputArray, cv::OutputArray) 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' void cv::hal::cpu_baseline::min8s(const schar *, size_t, const schar *, size_t, schar *, 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::absdiff16s(const short *, size_t, const short *, size_t, short *, size_t, int, int) void cv::hal::cpu_baseline::absdiff32s(const int *, size_t, const int *, size_t, int *, size_t, int, int) cmp_loop 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::addWeighted16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *) void cv::hal::min16s(const short *, size_t, const short *, size_t, short *, 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::absdiff16u(const ushort *, size_t, const ushort *, size_t, ushort *, 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::addWeighted16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *) cvReleaseMat Bad CvMat header _dst.data == data0 Depth is not the same for all arrays cvPtr3D The output header should be CvMat or CvMatND vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/async.cpp flags=0x%08llx InputOutputArrayOfArrays: noArray() void cv::mixChannels(const cv::Mat *, size_t, cv::Mat *, size_t, const int *, size_t) '), where unknown/unsupported parameter type void cv::cpu_baseline::cvt8s16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/convert_c.cpp _src.getObj() != _dst.getObj() repeat cvSaveMemStoragePos cvSeqPartition set != NULL bool cv::utils::fs::isDirectory(const cv::String &) total() == 0 || data != NULL static void cv::SVD::compute(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int) asRowMatrix eigenvectors vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/mathfuncs_core.simd.hpp dst.depth() == src.depth() srcA.size() == dst.size() && srcA.type() == dst.type() cvReduce bool cv::hal::Cholesky32f(float *, size_t, int, float *, size_t, int) virtual void cv::MatOp::subtract(const cv::Scalar &, const cv::MatExpr &, cv::MatExpr &) const virtual void cv::MatOp_AddEx::divide(double, const cv::MatExpr &, cv::MatExpr &) const cv::MatExpr cv::max(double, const cv::Mat &) cv::MatExpr cv::Mat::t() const normalize 0 <= i && i < (int)v.size() (cn == 1 && (_mask.empty() || _mask.type() == CV_8U)) || (cn > 1 && _mask.empty() && !minIdx && !maxIdx) double cv::norm(cv::InputArray, int, cv::InputArray) Intel(R) Corporation _globalsize != NULL checkContinuous u->refcount == 0 || u->tempUMat() upload CL_INVALID_GL_OBJECT CL_INVALID_BINARY CL_INVALID_HOST_PTR CL_MEM_COPY_OVERLAP -D %s=%s ], dtype='%s') float64 : Can't create thread condition variable: res = vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/persistence.cpp blockIdx == fs_data_ptrs.size()-1 puts a+t .json.gz left-brace of top level is missing parseSeq '{' - left-brace of map is missing Valid XML should start with '' Unsupported YAML version (it must be 1.x) int scaleFunc != 0 Unsupported format or combination of formats a+b Region location is disabled. Bailout std::fabs(vecs[0].ddot(vecs[1])) * a <= FLT_EPSILON * 9 * x * (norm(vecs[0]) * norm(vecs[1])) RotatedRect utils::findDataFile(): the current directory is source sub-directory: utils::findDataFile(): the binary module directory is build sub-directory: utils::findDataFile(): trying install path (from binary path): NULL handle != -1 OPENCV_SAMPLES_DATA_PATH Ptr cv::createBoxFilter(int, int, cv::Size, cv::Point, bool, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/color_hsv.dispatch.cpp virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2YCrCb_f] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::YCrCb2RGB_i] cvEndFindContours cvConvexHull2 The hull matrix size might be not enough to fit the hull scn == 1 && (dcn == 3 || dcn == 4) thickness <= MAX_THICKNESS cvDrawContours Only one of cost matrix or distance function should be non-NULL in case of user-defined distance virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = float, VecOp = cv::cpu_baseline::RowVec_16s32f] int cv::cpu_baseline::SymmRowSmallVec_32f::operator()(const uchar *, uchar *, int, int) const virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec] templEdges_.type() == CV_8UC1 scaleStep_ > 0.0 calcOrientation dx.type() == CV_32FC1 && dx.size == edges.size total >= 0 && (depth == CV_32S || depth == CV_32F) MWOMOV OMRMTNUPUSTURVOV MXRMPNOPOSPURVSVUUVSVPUNSMRM QQTR TQQR MVQMNV VMOS RQTV PVRMUQ PUSLRMSNTMSL SPSXRYQYPX NWUQTPQPPQPRQSTSUTUUTVQVPU LXNPPV RPPV RPTV VPTV PURURVSVSURU NVPMPQ TMTQ MWRORU OPUT UPOT I[KRYR LYOCNI OCVC ODSDVC NIOHQGTGVHWJWMVOTPQPOONNNMOMON TGUHVJVMUOTP MRXR QTOUNWOYQZTZVYWWVUTTQT QTPUOWPYQZ TZUYVWUUTT QZO[N]N^O`QaTaV`W^W]V[TZ QZP[O]O^P`Qa TaU`V^V]U[TZ LYOEOFNFNEODQCTCVDWFVHTI TCUDVFUHTI RITIVJWLWMVOTPQPOONNNMOMON TIUJVLVMUOTP MRXR SVSa TTTa TTM]X] QaVa E^P[MZJXHUGRGOHLJIMGPFTFWGYI[L\O\R[UYXVZS[P[ UKVJVNUKSJPJNKMLLOLRMUNVPWSWUVVT PJNLMOMRNUPW G]KFK[ KFY[ YFY[ H[RLPLNKMINGQFTFXG[G]F XGVNTTRXPZN[L[JZIXIVJULUNV I[XPVNTMQMONMPLSLUMXOZQ[T[VZXX I\MMM[ MQPNRMUMWNXQX[ J[XMM[ MMXM M[X[ AcPALBJCGEEGCJBLAPATBXCZE]G_JaLbPcTcXbZa]__]aZbXcTcPbLa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`PFMGJIHLGOGSHVJYM[P\T\W[ZY\V]S]O\LZIWGTFPF RFR\ GQ]Q H\JFR[ JFKFRX ZFYFRX ZFR[ L[LVNSPO SFL[ TFM[ OUQSSRTRVSVUUXUZV[ TRUSUUTXTZV[XZYY[V NVSLRMSNTMSL QRKd RRO[M`KdJfHgGfGdHaJ_M]Q[TYVV NVNVPSRO UFOXOZQ[SZTYVV VFPXPZQ[ PNVN F^NFNLMTLXKZJ[ XFX[ YFY[ KF\F G[\[ G[Gb H[Gb [[\b \[\b LXQFQ[ RGRZ SFS[ NFVF N[V[ OFQG PFQH TFSH UFSG QZO[ QYP[ SYT[ SZU[ G]LFL[ MGMZ NFN[ IFUFXGYHZJZMYOXPUQNQ XHYJYMXO UFWGXIXNWPUQ I[Q[ JFLG KFLH OFNH PFNG LZJ[ LYK[ NYO[ NZP[ F]OFI[ PFJ[ QFK[ ULST LF[FZL NPTP F[U[WV MFPG NFOH RFPH SFPG WFZG XFZH YFZI ZFZL ULSPST TNRPSR TOQPSQ JZG[ JYH[ KYL[ JZM[ P[UZ R[UY UYWV H]XMT[S^QaOb YMU[S_ XMZMV[T_RaObLbJaI`I^K^K`J`J_ VTVQUNSMQMNNLQKTKVLYMZO[Q[SZTYUWVT NOMQLTLWMY QMOONQMTMWNZO[ void cv::calcBackProject(cv::InputArrayOfArrays, const std::vector &, cv::InputArray, cv::OutputArray, const std::vector &, double) cv::Mat cv::getPerspectiveTransform(const cv::Point2f *, const cv::Point2f *, int) drawSegments Unknown comparison method int cv::cpu_baseline::(anonymous namespace)::MorphRowVec >::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] int cv::cpu_baseline::(anonymous namespace)::MorphVec >::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] cvCreatePyramid !ssize.empty() The number of pyramid levels is too large or negative The input and output images must have the same type The image/matrix format is not supported by the function cvIntegral sqsum.data != NULL double cv::threshold(cv::InputArray, cv::OutputArray, double, double, int) cvAdaptiveThreshold vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/utils.cpp maxConvexity vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/blobdetector.cpp diffusivity void cv::AKAZEFeatures::Do_Subpixel_Refinement(std::vector &, std::vector &) channels <= max_channels Get_MLDB_Descriptor_Subset divUp(dcount1, 8) == desc_size pass Output matrix must be 3x3, single-channel floating point matrix cvProjectPoints2Internal (count >= 4) || (count == 3 && useExtrinsicGuess) count the output array of translation vectors must be 3-channel 1xn or nx1 array or 1-channel nx3 array, where n is the number of views For non-planar calibration rigs the initial intrinsic matrix must be specified fabs(nw) > 0 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/calibration_handeye.cpp getNeighbors cvComputeCorrespondEpilines objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3 distortPoints !objectPoints.empty() && (objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3) !omc.empty() && omc.type() == CV_64FC3 !Tc.empty() && Tc.type() == CV_64FC3 !_imagePoints.empty() && _imagePoints.type() == CV_64FC2 cv::Mat cv::internal::NormalizePixels(const cv::Mat &, const cv::internal::IntrinsicParams &) operator Vec dAB npoints >= 0 && points2.checkVector(2) == npoints && points1.type() == points2.type() dst.isContinuous() void cv::convertPointsToHomogeneous(cv::InputArray, cv::OutputArray) _objectPoints.rows() >= 4 || _objectPoints.cols() >= 4 type_input == CV_32FC2 || type_input == CV_64FC2 errf.isContinuous() && errf.type() == CV_32F && (int)errf.total() == count ( (npoints >= 4) || (npoints == 3 && flags == SOLVEPNP_ITERATIVE && useExtrinsicGuess) ) && npoints == std::max(ipoints.checkVector(2, CV_32F), ipoints.checkVector(2, CV_64F)) (opoints.rows == 1 && opoints.channels() == 3) || opoints.cols*opoints.channels() == 3 Number of world points coordinates must be == 4 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/include/opencv2/core/operations.hpp CV_IS_MAT(_distCoeffs) && (_distCoeffs->rows == 1 || _distCoeffs->cols == 1) && (_distCoeffs->rows*_distCoeffs->cols == 4 || _distCoeffs->rows*_distCoeffs->cols == 5 || _distCoeffs->rows*_distCoeffs->cols == 8 || _distCoeffs->rows*_distCoeffs->cols == 12 || _distCoeffs->rows*_distCoeffs->cols == 14) learningRate >= 0 getBackgroundImage history static Ptr cv::DISOpticalFlow::create(int) !flow_v.empty() && flow_v.depth() == CV_32F && flow_v.channels() == 1 fixedPoint_iteration void cv::VariationalRefinementImpl::mergeCheckerboard(cv::Mat &, cv::VariationalRefinementImpl::RedBlackBuffer &) void cv::VariationalRefinementImpl::gradHorizAndSplitOp(void *, void *, void *) allocator::allocate(size_t n) 'n' exceeds maximum supported size cvMin void cv::hal::max8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *) Either all the pointers should be null or they all should be non-null cvCloneMatND cvInitNArrayIterator cvGetDims One of new dimension sizes is non-positive cvGetImageCOI insertChannel CV_8U CV_16F getByIndex vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/convert.simd.hpp void cv::cpu_baseline::cvt32f64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16u64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt8s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt32f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt32s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt8s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt32s8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) dst.size() == src.size() && src.channels() == dst.channels() Unknown/unsupported border type src.channels() == 1 && src.dims == 2 cvClearMemStorage cvChangeSeqBlock cvSeqPushMulti number of removed elements is negative cvSeqSort _Function->getDims() == ndim num_components Func_.type()==CV_64FC1 || Func_.type()==CV_32FC1 polarToCart Mag.size() == Angle.size() && Mag.type() == Angle.type() X.size() == Angle.size() && X.type() == Angle.type() _r.data == _r0.data void cv::cpu_baseline::gemm64fc(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int) a_size.height == len data.rows <= evects.rows img->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0 void cv::hconcat(const cv::Mat *, size_t, cv::OutputArray) _m.dims() <= 2 void cv::minMaxLoc(const cv::SparseMat &, double *, double *, int *, int *) sizend getMatRef !fixedType() && !fixedSize() CV_MAT_TYPE(mtype) == m.type() getGpuMatRef void cv::merge(const cv::Mat *, size_t, cv::OutputArray) PSNR getBinary OPENCV_OPENCL_HOST_PTR_BUFFERPOOL_LIMIT ushort double3 CL_INVALID_PROGRAM_EXECUTABLE CL_EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LIST vectorWidths Failed to initialize ThreadPool (pthreads) : Can't spawn new thread: res = decodeFormat Too long data type specification symbolToType !write_stack.empty() opencv-sparse-matrix k < dims n.isInt() type_name.empty()
OpenCV build configuration is:
%s
4.1.1 Unknown %s code %d Bad number of channels > SSE AVX AVX512IFMA key_ == -1 TlsAbstraction setData Mb ~TraceManager getRef void cv::UMat::convertTo(cv::OutputArray, int, double, double) const modules/core/include/opencv2/core/version.hpp * void cv::utils::logging::LogTagManager::setLevelByFullName(const std::string &, cv::utils::logging::LogLevel) type == _src2.type() && _weights1.type() == CV_32FC1 && _weights2.type() == CV_32FC1 virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double] virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = unsigned short] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Lab2RGB_f] void cv::hal::cpu_baseline::cvtBGRtoGray(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool) void cv::hal::cvtGraytoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int) cv::argsort only sorts 1D matrices. unsupported label/image type cvReadChainPoint void cv::findContours(cv::InputArray, cv::OutputArrayOfArrays, cv::OutputArray, int, int, cv::Point) convexHull hpoints > 0 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/precomp.hpp src.type() == CV_8UC1 || src.type() == CV_32FC1 trueDistTrans void cv::rectangle(cv::InputOutputArray, cv::Point, cv::Point, const cv::Scalar &, int, int, int) void cv::rectangle(cv::InputOutputArray, cv::Rect, const cv::Scalar &, int, int, int) text != 0 && _font != 0 leave_x != NULL virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = double, DT = double, VecOp = cv::cpu_baseline::RowNoVec] virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::cpu_baseline::RowVec_8u32s] virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec] SymmColumnSmallVec_32f image must have CV_8UC3 type dtrm > std::numeric_limits::epsilon() MWNVVV LWTSSQQPOQNSOUQVSUTS UPTSTUUVVV NVTQSPQPPQPRQSRSSTSURVPVOU OUPKSKSYPY LYOEOFNFNEODQCTCVDWFVHTI TCUDVFUHTI RITIVJWLWMVOTPQPOONNNMOMON TIUJVLVMUOTP MRXR QTOUNWOYQZTZVYWWVUTTQT QTPUOWPYQZ TZUYVWUUTT QZO[N]N^O`QaTaV`W^W]V[TZ QZP[O]O^P`Qa TaU`V^V]U[TZ H\VJVKWLYLZKZIYGVFRFOGNINLONPOSPPPMQLRKTKWLYMZP[S[VZXXYV E]JMHLGJGIHGJFKFMGNINKMPLTJ[ LTOLQHRGTFVFXGYIYKXPVWVZW[X[ZZ[Y]V H]ULTNSOQPOPNNNLOIQGTFWFYGZIZMYPWTTWPZN[K[JZJXKWNWPXQYR[R^QaPcNfLgKfKdLaN^Q[TYZV CaGMG[ GQJNLMOMQNRQR[ RQUNWMZM\N]Q][ NXOYQXRWSUSSRRQROSNUNXOZQ[S[UZVYXV E^EVGSIRJSJTIXH[ IXJVLSNRPRQSQTPXO[ PXQVSSURWRXSXUWXWZX[Y[[Z\Y^V OXOVQSSO VFPXPZQ[S[UZVYXV PNWN I[WUWRVOUNSMQMONMPLSLVMYNZP[R[TZVXWUXPXKWHVGTFRFPGNI MWRMQNROSNRM SZR[QZRYSZS\R^Q_ E_UMXP[RXTUW IR[R E_\O\N[MZMYNXPVUTXRZP[L[JZIYHWHUISJRQNRMSKSIRGPFNGMIMKNNPQUXWZY[[[\Z\Y E_RIQJRKSJRI IYHZI[JZIY [YZZ[[\Z[Y F^RGPJLOIR RGTJXO[R IRLUPZR] [RXUTZR] MWMRMQNOONQMSMUNVOWQWR PNTN OOUO NPVP NQVQ MRWR LRLFLRRRLF LIPQ LLOR LOMQ D`DR`R KZQKOLNMMPMSNVOWQXTXVWWVXSXPWMVLTKQK QKOMNPNSOVQX TXVVWSWPVMTK PWPUQTSTTUUZV[W[XZ TUUXVZW[ LYNKRRRX OKSR WKSRSX LKQK TKYK PXUX KXOOOX POPX PRQPSOUOVPVQUQUPVP MOPO MXRX LYTOUPUQVQVPTOQOOPORQSTTVU OQQRTSVTVWTXQXOWOVPVPWQX KXQOOPNQMSMUNWPXRXTWUVVTVRUPSOQO QOOQNSNVPX RXTVUTUQSO MWTKTLULUKTK ORPPQOSOTPTRRYQ[O\M\M[N\ ROSPSRQYP[O\ LXUPVRVQUPSOQOOPNRNTOVRX QOOQOTPVRXSYS[R\P\ I[RLRX LRXR JZMMWW WMMW KYVSUPSOQOOPNQMSMUNWPXRXTWUVVTWQWNVLTKQKPLQLRK QOOQNSNVPX RXTVUTVQVNULTK KYVBTDRGPKOPOTPYR]T`Vb TDRHQKPPPTQYR\T` I[NFN[ OFO[ KFRF K[Z[ZUY[ F]MMGb NMHb MPLVLYN[P[RZTXVU XMUXUZV[Y[[Y\W YMVXVZW[ H]XMVTUXUZV[Y[[Y\W YMWTVXVZW[ VTVQUNSMQMNNLQKTKWLYMZO[Q[SZUWVT QMONMQLTLXMZ F]GQHOJMMMNNNQLWLYN[ LMMNMQKWKYLZN[P[RZTXVT XMVTUXUZV[Y[[Y\W YMWTVXVZW[ @cTGSHTIUHTGRFOFLGJIIKHNGRE[D_Ca OFMGKIJKINGWF[E^D`CaAb?b>a>`?_@`?a ^G]H^I_H_G]F aFZFWGUITKSNRRP[O_Na ZFXGVIUKTNRWQ[P^O`NaLbJbIaI`J_K`Ja `F\T[X[Z\[_[aYbW aF]T\X\Z][ DM^M F^ZJSJOKMLKNJQJSKVMXOYSZZZ F]OUMTLTJUIWIXJZL[M[OZPXPWOUJPINIKJILHOGSGWHYJZLZOYRVUUWUYV[X[YZZX MSKPJNJKKILH SGVHXJYLYOXRVU EfNSOUQVSVUUVSVQUOSNQNOONPMSMVNYP[S\V\Y[[Y\W]T]P\MZJXIUHRHOIMJKLIOHSHXI]KaMcPeTfYf]e`cba KLJNIRIXJ\L`NbQdUeYe]d_cba POTO OPUP NQVQ NRVR NSVS OTUT PUTU aLaNcNcLaL bLbN aMcM aVaXcXcVaV bVbX aWcW D`H@Hd M@Md W@Wd \@\d MMWK MNWL MOWM MWWU MXWV MYWW MXP[OZPYQZQ[P]N_ F^KFK[ LFL[ XFX[ YFY[ HFOF UF\F H[\[ [[\b \[\b G]LML[ MMM[ WMW[ XMX[ IM[M I[P[ T[[[ G]JFQQQ[ KFRQRZ LFSQS[ YGSQ HFOF VF\F N[V[ IFKG NFLG WFYG [FYG QZO[ QYP[ SYT[ SZU[ F_OFIZ OFV[ PFVX QFWX \GWXV[ LFQF YF_F F[L[ MFPG NFPH ZF\G ^F\G IZG[ IZK[ I]NPNOOOOQMQMONNPMTMVNWOXQXXYZZ[ VOWQWXXZ TMUNVPVXWZZ[[[ VRUSPTMULWLXMZP[S[UZVX NUMWMXNZ USQTOUNWNXOZP[ G\QMNNLPKTKb MPLTLa QMONNOMSMb MWNYOZQ[S[VZXXYUYSXPVNSMQM WXXVXRWP S[UZVYWVWRVOUNSM KbMb G]HQIOKMMMNNOPOSMX NNNRMVMZ NPLULXMZO[Q[SZUXWT YMU[T^RaPb ZMV[T_ YM[MW[U_SaPbMbKaJ`J^L^L`K`K_ KYOBQDSGUKVPVTUYS]Q`Ob SHTKUOUUTYS\ QDRFSITOTUS[R^Q` MXVIUITHTGUFVFWGWIVKULSM UGUHVHVGUG VIVJUL cvCalcArrBackProject void cv::HoughLinesSDiv(cv::InputArray, cv::OutputArray, int, float, float, int, int, int, int, double, double) HoughLinesStandard threshold must be greater than 0 double cv::matchShapes(cv::InputArray, cv::InputArray, int, double) HuMoments int cv::cpu_baseline::(anonymous namespace)::MorphVec >::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] morphologyEx weightedCentroid cv::Point2d cv::phaseCorrelate(cv::InputArray, cv::InputArray, cv::InputArray, double *) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/resize.cpp arr != 0 && contour_header != 0 && block != 0 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/akaze.cpp descriptors[0].type() == _descriptors.type() !vocabulary.empty() minArea calcProjection evolution.size() > 0 Both width and height of the pattern should have bigger than 2 the output array of refined object points must be 3-channel 1xn or nx1 array or 1-channel nx3 array, where n is the number of object points per view cols >= 0 cvDet(&tmpMatrixM) != 0.0 npoints >= 0 && (depth == CV_32F || depth == CV_64F) findHoles vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/fisheye.cpp void cv::fisheye::stereoRectify(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, const cv::Size &, cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int, const cv::Size &, double, double) lines.isContinuous() rotnorm[i].total() == 3 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/p3p.cpp count <= msi->rows solvePnPGeneric !_rvec.empty() && !_tvec.empty() ndisp % 8 == 0 numDisparities blockSize Number of points must be the same src1.rows == dst.rows FarnebackPolyExp void cv::hal::cpu_baseline::sub16s(const short *, size_t, const short *, size_t, short *, size_t, int, int) void cv::hal::cpu_baseline::max16s(const short *, size_t, const short *, size_t, short *, 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::max32f(const float *, size_t, const float *, size_t, float *, size_t, int, int) void cv::hal::cpu_baseline::recip16u(const ushort *, size_t, ushort *, size_t, int, int, const double *) void cv::hal::mul32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *) The array is too big The matrix has NULL data pointer cvPtr1D K == 1 && update == 0 && mask.empty() ERROR: exception occurred, dump is non-complete '
void cv::cpu_baseline::cvt64f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/count_non_zero.dispatch.cpp Storage block size is too small to fit the sequence elements Null compare function cvCreateGraph graph pointer is NULL cvGraphVtxDegreeByPtr Null graph pointer vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/dxt.cpp data0.dims <= 2 && type == CV_32F && K > 0 double cv::determinant(cv::InputArray) void cv::hal::cpu_baseline::invSqrt64f(const double *, double *, int) reserveBuffer cv::MatExpr cv::min(double, const cv::Mat &) static cv::MatExpr cv::Mat::eye(int, int, int) You should explicitly call download method for cuda::GpuMat object (size_t)i < vv.size() m.dims vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/mean.simd.hpp int cv::cpu_baseline::sqsum8s(const schar *, const uchar *, int *, int *, int, int) NVIDIA Corporation fromBinary download float4 half4 vecopTypeToStr initializeContextFromGL %%.%dg type == FileNode::SEQ Key must end with '"' Missing ':' between key and value nattr % 2 == 0 Invalid numeric value in the string Closing tag should not contain any attributes Null comment x%02x Complex keys are not supported void cv::randShuffle(cv::InputOutputArray, double, cv::RNG *) cvAvgSdv Iterations do not converge False pthread_key_create(&tlsKey, NULL) == 0 OPENCV_TRACE static void cv::KeyPoint::convert(const std::vector &, std::vector &, const std::vector &) release Reshaping of n-dimensional non-continuous matrices is not supported yet C:/opencv411_Android/build_armeabiV7_WithNeon_NoCarotene utils::findDataFile(): trying install path: FALSE cv::utils::findDataFile('%s', %s, %s) _mask.empty() || (_src.sameSize(_mask) && _mask.type() == CV_8U) Ptr cv::cpu_baseline::getRowSumFilter(int, int, int, int) virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_b] void cv::hal::cpu_baseline::(anonymous namespace)::HSV2RGB_f::operator()(const float *, float *, int) const virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Lab_f] void cv::hal::cpu_baseline::cvtBGR5x5toBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int) CvtHelper (x.type() == Y.type()) && (Y.type() == xi.type()) cvStartFindContours_Impl (_contours.kind() == _InputArray::STD_VECTOR_VECTOR || _contours.kind() == _InputArray::STD_VECTOR_MAT || _contours.kind() == _InputArray::STD_VECTOR_UMAT) Unknown / unsupported color conversion code distanceTransform bool cv::clipLine(cv::Rect, cv::Point &, cv::Point &) void cv::fillPoly(cv::InputOutputArray, const cv::Point **, const int *, int, const cv::Scalar &, int, int, cv::Point) p.checkVector(2, CV_32S) >= 0 (symmetryType & (KERNEL_SYMMETRICAL | KERNEL_ASYMMETRICAL)) != 0 && this->ksize <= 5 kernel.type() == DataType::type && (kernel.rows == 1 || kernel.cols == 1) virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::SymmColumnVec_32s8u] Seed point is outside of image imageEdges_.type() == CV_8UC1 levels_ > 0 && r_table_.size() == static_cast(levels_ + 1) edges.type() == CV_8UC1 float cv::intersectConvexConvex(cv::InputArray, cv::InputArray, cv::OutputArray, bool) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/include/opencv2/imgproc/detail/gcgraph.hpp MWQMNV QMTMVNVPSQPQ SQURUTTURVNV MWOPRV UPRVQXPYOY NWUQSPQPPQPRQS SSQSPTPUQVSVUU LXNQOPPPQQQSPV QSRQTPUPVQVSUVTY LYNCNG VERLPP WCTIQP NEPCRCUE NEPDRDUEVE MRXR QTOUNWOYQZTZVYWWVUTTQT QTPUOWPYQZ TZUYVWUUTT QZO[N]N^O`QaTaV`W^W]V[TZ QZP[O]O^P`Qa TaU`V^V]U[TZ H]ZKYIWGUFQFOGMILKKNKSLVMXOZQ[U[WZYXZV M[MVOSRNSLTITGSFQGPIOMNTNZO[P[RZTXUUURVVWWYW[V JZ LXLPNRQSSSVRXP >f>RfR NVQNOONQNSOUQVSVUUVSVQUOSNQN OQOS PPPT QOQU RORU SOSU TPTT UQUS KYMNWX WNMX OLLOKQ ULXOYQ KZRKRX SKSX QNNOMQMRNTQUTUWTXRXQWOTNQN QNOONQNROTQU TUVTWRWQVOTN PKUK PXUX KXQKMX RKNX OKTK KXUXVUTX KYSOQOOPNQMSMUNWPXRXTWUVVTVRUPRNQLQKRJTJUKVM QOOQNSNVPX RXTVUTUQSO QLRKTKVM LYOKNQ OKVK OLSLVK NQOPQOTOVPWRWUVWTXQXOWNVNUOUOV TOUPVRVUUWTX JZMLWRMX LYONRKRQ VNSKSQ RQPROTOUPWRXSXUWVUVTURSQ RTRUSUSTRT G[LFL[ MFM[ SLST IFYFYLXF MPSP I[P[ G]QFNGLIKKJOJRKVLXNZQ[S[VZXXYVZRZOYKXIVGSFQF QFOGMILKKOKRLVMXOZQ[ S[UZWXXVYRYOXKWIUGSF H\RFJ[ RFZ[ RIY[ KZYZ J[Z[ H\NMJ[ OMK[ XMYNZNYMWMUNQROSMS OSQTSZT[ OSPTRZS[U[WZYW H\IQJOLMOMPNPPNVNYP[ NMONOPMVMYNZP[Q[TZVXXUYRYOXMWNXOYR XUYO MWR[QZRYSZS\R^Q_ I\RFOGMILLLMMPORRSSSVRXPYMYLXIVGSFRF RSR[ SSS[ NWWW I[MFM[ NGN[M[ MFYF NGYGYF NPTPTQ NQTQ MXTHSIRIQHQGRFSFTGTJSLQM RGRHSHSGRG SITJ THSL F_JQ[Q[R JQJR[R F_JM[M[N JMJN[N JU[U[V JUJV[V E`WMTKQKOLNMMOMRNTOUQVTVWT WMTLQLOMNONROTQUTUWT VKVSWUYVZV\U]S]O\L[JYHWGTFQFNGLHJJILHOHRIUJWLYNZQ[U[YZ VKWKWSXUZV YV[U\S\O[LZJYIWHTGQGNHLIKJJLIOIRJUKWLXNYQZUZYYYZ H]OJPKOLNKNJOHPGSFVFYGZIZKYMVOSP VFXGYIYKXMVO QPSPVQWRXTXWWYVZS[O[LZKYJWJVKULVKW SPUQVRWTWWVYUZS[ J[TFTR OIYO YIOO H]KFRV LFSV ZFSVQYPZN[M[LZLYMXNYMZ IFOF VF\F G]LML[ MMM[ WMW[ XMX[ IMPM TM[M MTWT I[P[ T[[[ H^ZH[H\F[L[JZHYGWFTFQGOIMLLOKSKVLYMZP[R[UZWXYT QHOJNLMOLSLWMY VXWWXT TFRGPJOLNOMSMXNZP[ R[TZVWWT TT\T UTWU VTWW ZTXV [TXU G]PMMNKPJSJUKXMZP[R[UZWXXUXSWPUNRM LPKRKVLX VXWVWRVP PMNNMOLRLVMYNZP[ R[TZUYVVVRUOTNRM RMZO[N[MPM RMZN F]HNINJPJUKXMZP[T[VZXXYVZRZNYMXMYPYSXWVZ JNKPKULX XMYNYO GPHNIMJMKNLPLVMYNZP[ QFSb RGRa SFQb QFSF QbSb H\QHQ[ RHRZ SFS[ SFPINJ M[W[ QZO[ QYP[ SYT[ SZU[ H\LJLKMKMJLJ LIMINJNKMLLLKKKJLHMGPFTFWGXHYJYLXNUPPRNSLUKXK[ WHXJXLWN TFVGWJWLVNTPPR KYLXNXSYWYYX NXSZWZXY NXS[W[XZYXYV G^_BEbFb _B`BFb G^SFKbLb SFTFLb YFQbRb YFZFRb KP\P\Q KPKQ\Q IWZWZX IWIXZX H0.isContinuous() cvSetHistBinRanges Null histogram header pointer remapBilinear cvWarpAffine cvWarpPerspective vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/moments.cpp virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec > >::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >] Ptr cv::cpu_baseline::getMorphologyFilter(int, int, const cv::Mat &, cv::Point) void cv::morphOp(int, cv::InputArray, cv::OutputArray, cv::InputArray, cv::Point, int, int, const cv::Scalar &) phaseCorrelate func != 0 && cn <= 4 cn == 4 cv::RotatedRect cv::minAreaRect(cv::InputArray) void cv::pyrMeanShiftFiltering(cv::InputArray, cv::OutputArray, double, double, int, cv::TermCriteria) n >= 0 && (depth == CV_32F || depth == CV_32S) edgeOrg( edge, &t ) > 0 int cv::Subdiv2D::findNearest(cv::Point2f, cv::Point2f *) checkSubdiv .AgastFeatureDetector queryIdx == (int)i getScoreMaxAbove upright vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/kaze/AKAZEFeatures.cpp void cv::pm_g2(cv::InputArray, cv::InputArray, cv::OutputArray, float) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/keypoint.cpp knn > 0 maxDistance > std::numeric_limits::epsilon() findConnectedQuads cvCalcMatMulDeriv nt > 0.0 reprojectImageTo3D imagePoints1 should not contain empty vector of vectors of points fabs(nt) > 0 calibrateHandEye addEdge areVerticesAdjacent largeHoles != 0 && smallHoles != 0 getAsymmetricHoles getFirstCorner vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/compat_ptsetreg.cpp J.isContinuous() && J.cols == 8 computeCorrespondEpilines _beforeRectifiedPoints.type() == CV_32FC2 && _afterRectifiedPoints.type() == CV_32FC2 normals[i].total() == 3 confidence > 0 && confidence < 1 (esz1 % sizeof(int)) == 0 && (esz2 % sizeof(int)) == 0 void cv::drawFrameAxes(cv::InputOutputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, float, int) cvUndistortPointsInternal void cv::DISOpticalFlowImpl::precomputeStructureTensor(cv::Mat &, cv::Mat &, cv::Mat &, cv::Mat &, cv::Mat &, cv::Mat &, cv::Mat &) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/video/src/ecc.cpp map.rows == 2 || map.rows ==3 map_matrix.rows == 3 && update.rows == 8 src5.isContinuous() src1.size() == src2.size() When the input arrays in add/subtract/multiply/divide functions have different types, the output array type must be explicitly specified 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' cvAddS cvAddWeighted void cv::hal::cpu_baseline::addWeighted32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *) void cv::hal::add8s(const schar *, size_t, const schar *, size_t, schar *, 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::recip8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *) void cv::hal::recip32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *) cvCloneMat index is out of range cvRawDataToScalar cvGet1D cvSetReal1D The last dimension full size is not divisible by new number of channels cvGetImageROI timeoutNs < 0 _nidx.needed() == (K > 0) void cv::mixChannels(cv::InputArrayOfArrays, cv::InputOutputArrayOfArrays, const int *, size_t) 0 <= coi && coi < cn CV_64F error in split_range_string( (value:%s) void cv::cpu_baseline::cvt8u16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) cvLUT cvNormalize void cv::Mat::copyTo(cv::OutputArray) const (coi1 != 0 || src.channels() == 1) && (coi2 != 0 || dst.channels() == 1) cvSeqInsert cvCloneGraph !_Function.empty() This mode (using nonzero_rows with a single-column matrix) breaks the function's logic, so it is prohibited.
For fast convolution/correlation use 2-column matrix or single-row matrix instead void cv::generateCentersPP(const cv::Mat &, cv::Mat &, int, cv::RNG &, int) mat.rows == mat.cols && (type == CV_32F || type == CV_64F) Unsupported method, see #DecompTypes exp cvPow type == CV_64FC2 void cv::hal::gemm64f(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int) cv::Size cv::getContinuousSize2D(cv::Mat &, cv::Mat &, cv::Mat &, int) m3.total() cvKMeans2 virtual void cv::MatOp_AddEx::subtract(const cv::Scalar &, const cv::MatExpr &, cv::MatExpr &) const CV_MAT_CN(_type) == e.a.channels() completeSymm void cv::reduce(cv::InputArray, cv::OutputArray, int, int, int) void cv::sortIdx(cv::InputArray, cv::OutputArray, int) isSubmatrix v[j].empty() meanStdDev vecmerge_ merge !enabled getPrefix noconvert src1.isMat() || src1.isUMat() convertToGLTexture2D OPENCV_THREAD_POOL_ACTIVE_WAIT_THREADS_LIMIT depth >=0 && depth <= CV_64F !base64decoder.endOfStream() ofs <= fs_data_blksz[blockIdx] Appending data to compressed file is not implemented r+t unnamed operator[] 0 <= i && i < sz getName Invalid tag input Some collection type - FileNode::SEQ or FileNode::MAP, must be specified !_mat.empty() _param2.channels() == 1 && (((_param2.rows == 1 || _param2.cols == 1) && (_param2.rows + _param2.cols - 1 == cn || _param2.rows + _param2.cols - 1 == 1 || (_param1.size() == Size(1, 4) && _param1.type() == CV_64F && cn <= 4))) || (_param2.rows == cn && _param2.cols == cn && disttype == NORMAL)) void cv::hal::cpu_baseline::split32s(const int *, int **, int, int) feature.size() > 0 No OpenGL support One of the arguments' values is out of range Inplace operation is not supported VSX3 Trace: Total skipped events: m.dims >= 2 The total width is not divisible by the new number of channels rb TRUE OpenCV: Can't find required data file: %s icvApproximateChainTC89 cn == 3 void cv::blendLinear(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray) getRowSumFilter virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) Ptr cv::cpu_baseline::getColumnSumFilter(int, int, int, int, double) Ptr cv::getSqrRowSumFilter(int, int, int, int) src.size == dst.size && src.depth() == CV_8U && dst.type() == CV_8U cvCanny dst.data == dst0.data void cv::hal::cpu_baseline::cvtBGRtoHSV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool) virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::RGB2XYZ_f] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::mRGBA2RGBA] vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/color_yuv.dispatch.cpp Nonzero offset is not supported in CV_LINK_RUNS yet cvConvexityDefects The kernel size must be odd and not larger than 31 void cv::distanceTransform(cv::InputArray, cv::OutputArray, int, int, int) 0 < thickness && thickness <= MAX_THICKNESS The cost matrix must be 32fC1 _mask.empty() || (_mask.type() == CV_8UC1 && _mask.sameSize(_image)) (symmetryType & (KERNEL_SYMMETRICAL | KERNEL_ASYMMETRICAL)) != 0 rowFilter && columnFilter imageDy_.type() == imageDx_.type() && imageDy_.size() == imageSize_ detectImpl !hasVotes || voteOutBuf_.size() == posOutBuf_.size() templFeatures_.size() == static_cast(levels_ + 1) posThresh_ > 0 totalSampleCount > 0 calcInverseCovAndDeterm MWMMOKQKTMVMWK MWOSTSURUQSPRPPQOSPURVTV KYQVOUNSNQOOQNSNUOVQVSUUSVQV SVVS QVVQ OUUO NSSN NQQN G]KFK[ YFY[ KPYP H\YFK[ KFYF K[Y[ G[G[IZLWOSSLVFV[UXSUQSNQLQKRKTLVNXQZT[Y[ F]KMILHJHIIGKFLFNGOIOKNOMRLVLYM[O[QZTWVTXPYMZIZGYFXFWGVIVKWNYP[Q H[LFL[ LPNNPMSMUNWPXSXUWXUZS[P[NZLX H\IQJOLMNMONOPMVMYO[Q[TZVXXTYPYM MZMVOSPQPSSSTTTVSYSZT[U[WZXYZV L[LVNRLXLZM[O[QZSXUU VRTXTZU[V[XZYY[V LZLVNSPRRRTTTVSXQZN[P\Q^QaPdOfMgLfLdMaP^S\WYZV KYUBUb NBUB NbUb F_\Q[OYNWNUOTPQTPUNVLVJUISIQJOLNNNPOQPTTUUWVYV[U\S\Q G]IWHVGTGQHOINKMMMONPOTUUVWWYW[V\U]S]P\N[M PUUDSGQKPPPTQYS]U` KYRJYNKVRZ LULRUWUMLR ORTU ORTO RRTS RRTQ 0 && dims == H2.dims() && H1.type() == H2.type() && H1.type() == CV_32F cvCopyHist Unrecognized method id. Actually only CV_HOUGH_GRADIENT is supported. warpPerspective fitLine3D void cv::cpu_baseline::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinMax32f, VecOp = cv::cpu_baseline::(anonymous namespace)::MinMaxVec32f] virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec > >::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec >] src.size() == dst.size() && src.type() == dst.type() fitEllipseAMS pointSetBoundingRect Unsupported sequence type GaussianBlurFixedPoint void cv::AGAST(cv::InputArray, std::vector &, int, bool, AgastFeatureDetector::DetectorType) blobColor void cv::_prepareImage(cv::InputArray, const cv::Mat &) octaves void cv::Compute_Determinant_Hessian_Response(cv::Pyramid &) BruteForce h != NULL q nelems >= 0 The specified aspect ratio (= cameraMatrix[0][0] / cameraMatrix[1][1]) is incorrect _cameraMatrix.needed() calibrateCameraRO kron findBasis Number of basis graphs is not 2 dst.rows == dst0.cols && dst.cols == dst0.rows dst.size() == dst0.size() data && dims <= 2 && rows == m && cols == n && channels() == 1 findEssentialMat Type of _normalizedImgPoints must be CV_64FC2 Data.rows == 1 || Data.cols == 1 dataType homographyFromSquarePoints void cv::solvePnPRefineVVS(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::InputOutputArray, cv::TermCriteria, double) Input parameters must be matrices name cv::DISOpticalFlowImpl::DISOpticalFlowImpl() computeECC src1.size()==src4.size() operator() statusMat.isContinuous() virtual void cv::VariationalRefinementImpl::collectGarbage() cvSubRS cvMul void cv::hal::cpu_baseline::absdiff64f(const double *, size_t, const double *, size_t, double *, size_t, int, int) void cv::hal::cmp32s(const int *, size_t, const int *, size_t, uchar *, 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::addWeighted8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *) cvInitMatNDHeader For multidimensional array only CV_AUTOSTEP is allowed here New dimension sizes are not specified COI is not supported by this operation Bad input roi Unknown object type ~Impl !nidx.empty() size(0)=%dx%d _src.sameSize(_dst) && sdepth == ddepth
ERRORS:
%s
svec[j].size == dst.size && svec[j].depth() == dst.depth() && svec[j].channels() == 1 && i < dst.channels() vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/cuda_gpu_mat.cpp cvRemoveNodeFromTree OpenCV was build without DirectX support rhs.data == 0 || (rhs.type() == type && rhs.rows == m) At least two classes are needed to perform a LDA. Reason: Only one class was given! patchNaNs void cv::hal::magnitude64f(const double *, const double *, double *, int) void cv::hal::exp64f(const double *, double *, int) (((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)) total <= step[i] nelems <= size_t(INT_MAX)*size_t(INT_MAX) int cv::hal::QR32f(float *, size_t, int, int, int, float *, size_t, float *) virtual void cv::MatOp_T::multiply(const cv::MatExpr &, double, cv::MatExpr &) const cv::MatExpr cv::max(const cv::Mat &, const cv::Mat &) void cv::hconcat(cv::InputArray, cv::InputArray, cv::OutputArray) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/ocl.cpp _flags == LOCAL || _flags == CONSTANT || _m != NULL !codeStr_.empty() allocate char8 half8 memopTypeToStr CL_INVALID_DEVICE_PARTITION_COUNT CL_INVALID_EVENT CL_INVALID_EVENT_WAIT_LIST CL_OUT_OF_RESOURCES src3.isMat() || src3.isUMat() OPENCV_OPENCL_FORCE OPENCV_OPENCL_PERF_CHECK_BYPASS cn >= 1 && cn <= 4 FormattedImpl /sys/devices/system/cpu/possible ofs < fs_data_blksz[blockIdx] Unexpected End-Of-File ] vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/persistence_xml.cpp !!%s %c readSettings SSE4.2 releaseSlot traceArg double cv::UMat::dot(cv::InputArray) const DISABLED WARNINGS void cv::utils::logging::LogTagManager::setLevelByNamePart(const std::string &, cv::utils::logging::LogLevel, cv::utils::logging::LogTagManager::MatchingScope) ' vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/accum.cpp _src1.sameSize(_dst) && dcn == scn void cv::accumulateWeighted(cv::InputArray, cv::InputOutputArray, double, cv::InputArray) header_size >= (int)sizeof(CvContour) Bilateral filtering is only implemented for 8u and 32f images void cv::hal::cpu_baseline::cvtHSVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool) dstcn == 3 || dstcn == 4 virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB] cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<2, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE] void cv::hal::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int) VDcn::contains(dcn) cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE] Convex hull must represented as a sequence of indices or sequence of pointers line ellipse points.checkVector(2, CV_32S) >= 0 void cv::drawContours(cv::InputOutputArray, cv::InputArrayOfArrays, int, const cv::Scalar &, int, int, cv::InputArray, int, cv::Point) virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = double, VecOp = cv::cpu_baseline::RowNoVec] Unsupported combination of source format (=%d), and destination format (=%d) Filter2D void cv::sepFilter2D(cv::InputArray, cv::OutputArray, int, cv::InputArray, cv::InputArray, cv::Point, double, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/generalized_hough.cpp imageDx_.type() == CV_32FC1 && imageDx_.size() == imageEdges_.size() w>=0 && revw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a TFRGPIOKNNLWK[J^I`HaFbDbCaC`D_E`Da _G^H_I`H`G_F]F[GZHYJXMU[T_Sa ]F[HZJYNWWV[U^T`SaQbObNaN`O_P`Oa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`Qb VESIQMPPOUOZP_Qb G]WFW[ XFX[ [FOFLGKHJJJLKNLOOPWP OFMGLHKJKLLNMOOP RPPQORLYKZJZIY PQOSMZL[J[IYIX T[[[ G\LFL[ MGMZ NFN[ IFYFYL NPTP TLTT I[Y[YU JFLG KFLH OFNH PFNG TFYG VFYH WFYI XFYL TLSPTT TNRPTR TOPPTQ LZJ[ LYK[ NYO[ NZP[ T[YZ V[YY W[YX X[YU H\XIYFYLXIVGSFPFMGKIKLLNOPURWSXUXXWZ LLMNOOUQWRXT MGLILKMMONUPXRYTYWXYWZT[Q[NZLXKUK[LX G]TFN[ UFO[ VFP[ MFKL ]F\L MF]F K[S[ NFKL PFLI RFMG YF\G ZF\H [F\I \F\L OZL[ OYM[ PYQ[ OZR[ E_MFMHKYK[ NGLX OFMW UFMWK[ UFUHSYS[ VGTX WFUW ]GUWS[ JFRF UFWF ZF`F KFNG LFMH PFNI QFNG [F]G _F]G H[MSXSXQWOVNSMQMNNLPKSKULXNZQ[S[VZXX WRWQVO MPLRLVMX VSVPUNSM QMONNOMRMVNYOZQ[ G^LFL[ MGMZ IFNFN[ NQOOPNRMUMWNXOYRY[ WOXRXZ UMVNWQW[ I[Q[ T[\[ JFLG KFLH LZJ[ LYK[ NYO[ NZP[ WZU[ WYV[ YYZ[ YZ[[ H\LMV[ MMW[ NMX[ WNMZ JMQM TMZM J[P[ S[Z[ KMMN PMNN UMWN YMWN MZK[ MZO[ VZT[ WZY[ H[LMR[ MMRY NMSY XNSYP_NaLbJbIaI_K_KaJaJ` JMQM TMZM KMNO PMNN VMXN YMXN F]IMJNKPKTLWMYNZQ[S[VZWYXWYRYOXJVGTFRFPGOIOKPMSOVP[Q JMKNLPLTMWNY VYWWXRXOWJVHTG GPHNIMKMLNMPMTNXOZQ[ S[UZVXWSWNVJUHSGQGOI H\JQKOLNNMZM LONNYN JQKPMOZO ROQZR[SZRO ZMZO RORZ J[TFSGUQTR TFTR TFUGSQTR OIPIXOYO OIYO OIOJYNYO YIXIPOOO YIOO YIYJONOO HoughCircleEstimateRadiusInvoker NULL destination _src.channels() <= 4 cvGetAffineTransform vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/median_blur.simd.hpp The position of the vertex C on side B could not be determined, because the considered lines do not intersect. cvGetCentralMoment virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowNoVec] int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec >::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax] src1.type() == src2.type() vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/phasecorr.cpp void cv::createHanningWindow(cv::OutputArray, cv::Size, int) std::abs(dsize.width - ssize.width*2) == dsize.width % 2 && std::abs(dsize.height - ssize.height*2) == dsize.height % 2 n > 0 createGaussianKernels (depth == CV_8U || depth == CV_32F) && type == _templ.type() && _img.dims() <= 2 fdetector must not be empty when keypoints1 or keypoints2 is empty nbins > 2 dim > 0 _descriptors.isUMat() || _descriptors.isUMatVector() || _descriptors.isMat() || _descriptors.isMatVector() convertMatches BruteForce-HammingLUT vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/mser.cpp Input argument is not a valid matrix DLT algorithm needs at least 6 points for pose estimation from 3D-2D point correspondences. the array of point counters must be 1-dimensional integer vector Focal length (fx and fy) must be positive Non-zero skew is not supported by the function nimages > 0 && nimages == (int)imagePoints1.total() && (!imgPtMat2 || nimages == (int)imagePoints2.total()) All objectPoints[i] should be identical when object-releasing method is requested. R_gripper2base_.size() == t_gripper2base_.size() && R_target2cam_.size() == t_target2cam_.size() && R_gripper2base_.size() == R_target2cam_.size() q.type() == CV_64FC1 && q.rows == 4 && q.cols == 1 homogeneousInverse _rvec.total() * _rvec.channels() == 3 && (_rvec.depth() == CV_32F || _rvec.depth() == CV_64F) R.empty() || R.size() == Size(3, 3) || R.total() * R.channels() == 3 K.size() == Size(3, 3) && (D.empty() || D.total() == 4) stereoRectify mask.size() == mask1.size() F.size() == Size(3,3) find4QuadCornerSubpix vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/solvepnp.cpp vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/stereosgbm.cpp The second set of points must contain two channels; one for x and one for y Ptr cv::cpu_baseline::getInitUndistortRectifyMapComputer(cv::Size, cv::Mat &, cv::Mat &, int, const double *, cv::Matx33d &, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double) criteria.isValid() nsamples (src1.cols % src2.cols) == 0 calcSharrDeriv I0.sameSize(flow_u) SOR_iteration virtual void cv::VariationalRefinementImpl::ComputeDataTerm_ParBody::operator()(const cv::Range &) const void cv::hal::cpu_baseline::add64f(const double *, size_t, const double *, size_t, double *, 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::recip64f(const double *, size_t, double *, size_t, int, int, const double *) void cv::hal::max32f(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::recip16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *) cvInitMatHeader The total matrix width is not divisible by the new number of columns COI is not supported res dims(0)=%d ( less than Missing parameter #%d
void cv::cpu_baseline::cvt64f16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt8u16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt32f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) findNonZero cvFlushSeqWriter cvCreateGraphScanner ihi != inhi updateCoordSum createInitialSimplex x.type() == CV_32F || x.type() == CV_64F void cv::mulSpectrums(cv::InputArray, cv::InputArray, cv::OutputArray, int, bool) _SVDcompute solve Wrong mean shape for the given data matrix. Expected %d, but was %zu. hqr2 cv::sortColumnsByIndices only works on integer indices! [ERROR: cvPolarToCart vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/matmul.simd.hpp void cv::mulTransposed(cv::InputArray, cv::OutputArray, bool, cv::InputArray, double, int) len == icovar.rows && len == icovar.cols src1.type() == dst.type() is_m3_vector The reduced dimensionality index is out of range The function only supports 32sC1 and 32fC1 datatypes cvRange virtual void cv::MatOp::multiply(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &, double) const cv::Scalar cv::trace(cv::InputArray) int cv::cpu_baseline::sqsum32f(const float *, const uchar *, double *, double *, int, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/merge.dispatch.cpp normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR || ((normType == NORM_HAMMING || normType == NORM_HAMMING2) && _src.type() == CV_8U) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/norm.cpp _src1.type() == _src2.type() attachContext %08jx reservedEntries_.empty() u char float2 CL_D3D10_RESOURCE_ALREADY_ACQUIRED_KHR CL_INVALID_GL_SHAREGROUP_REFERENCE_KHR CL_INVALID_DEVICE_QUEUE CL_INVALID_PROPERTY CL_INVALID_DEVICE_TYPE convertFromGLTexture2D nstripes written_len <= (int)buffer.size() Invalid filename gt seq AVX512F NEON VSX 0 Kb keypointIndexes has element < 0. TODO: process this case static void cv::KeyPoint::convert(const std::vector &, std::vector &, float, float, int, int) virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int] virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double] void cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_f::operator()(const float *, float *, int) const virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Luv_b] void cv::hal::cpu_baseline::cvtMultipliedRGBAtoRGBA(const uchar *, size_t, uchar *, size_t, int, int) cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE] void cv::hal::cpu_baseline::cvtBGRtoYUV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool) void cv::hal::cpu_baseline::cvtThreePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int) void cv::hal::cpu_baseline::cvtBGRtoTwoPlaneYUV(const uchar *, size_t, uchar *, uchar *, size_t, int, int, int, bool, int) VScn::contains(scn) sz.width % 2 == 0 && sz.height % 3 == 0 cvFindContours_Impl points.isContinuous() convexityDefects Destination is not CvMemStorage* nor CvMat* void cv::Scharr(cv::InputArray, cv::OutputArray, int, int, int, double, double, int) circle void cv::ellipse(cv::InputOutputArray, cv::Point, cv::Size, double, double, double, const cv::Scalar &, int, int, int) SymmRowSmallFilter int cv::cpu_baseline::SymmColumnSmallVec_32s16s::operator()(const uchar **, uchar *, int) const dy.type() == dx.type() && dy.size == edges.size grabCut i != j MVOMOV OVUV MWRMNV RMVV NVVV MWUMUV USTQRPPQOSPURVTUUS NVUNTMSMRNRV PPTP PUSMSNTNTMSM QPRPSQSRRTRUSVTV NVRMOV UPTPRQPS PSQUSVTV MWUMQV OMUM G\KFK[ KFTFWGXHYJYLXNWOTPKP RPY[ H\KFY[ K[YF MWRFSGTFSERF SMS^RaPbNb JZLMR[ XMR[P_NaLbKb G]PML[ UMVSWXX[ IPKNNM[M NVRBRb MWSFRGQIQKRLSKRJ G]OFOb UFUb JQZQ JWZW MWRKQMOPMR RKSMUPWR RMOQ RMUQ ROPQ ROTQ QQSQ MRWR RRR>Rf KYYPXNVLSKQKNLLNKQKSLVNXQYSYVXXVYT YPWNUMSMQNPOOQOSPUQVSWUWWVYT MWQMONNOMQMSNUOVQWSWUVVUWSWQVOUNSMQM JYNKNX OKOX SOSS LKVKVOUK OQSQ LXVXVTUX JYPKLX QKMX SORS NKXKWNWK OQRQ JXTXUUSX LWPKPVRXTXUWUV QKQVRX NOTO KZWKTVTWUXWXXWYU XKUVUWVX USUQSOQOOPNQMSMUNWPXRXTV QOOQNSNVPX UKXK LYOMONNNNMOLQKTKVLWNVPTQ TKULVNUPTQ RQTQVRWTWUVWTXQXOWNVNUOUOV TQURVTVUUWTX NVSWRXQWRVSWSYQ[ MWPHP\ QHQ\ PHUH P\U\ LYWKTKQLONNQNSOVQXTYWY WKTLRNQQQSRVTXWY JZRRPQOQMRLTLUMWOXPXRWSUSTRR SLQQ WMRR XQSS KYOBOb PBPb OBVB ObVb H]KFRQR[ LFSQS[ ZFSQ IFOF VF\F O[V[ F_OFI[ OFVX OIV[ \FV[ LFOF YF_F F[L[ E_MFK[ NFLY UFK[ UFS[ VFTY ]FS[ JFQF ZF`F F]JQLOONNMLNJQITIWJZK[M[OZQWRT IWJYKZMZOYQW QTQWRZS[U[WZYWZTZQYNXMWNYOZQ QWRYSZUZWYYW KZZGYHZI[H[GZFXFVGUHTJSMP[O_Na XFVHUJTNRWQ[P^O`NaLbJbIaI`J_K`Ja OMYM I[KYYK QLULYKXOXS ULXLXO JZNBNW NNQLTLVMWOWQVSSUQVNW NNQMTMVN UMVOVQUSSU JZQCVMRTRU ULQS TITKPRRUUY W\UYSXQXOYN[N]O_Ra W\UZSYOYO]P_Ra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`H[[[[`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aUbSbRaR`S`Sa POOPNRMUMWNYOZ UKRMQNOQNTNWOYQ[S\ KYTFQQPUPXQZR[T[VYWW UFRQQUQZ TFVFRTQX NMXM mask.empty() || mask.type() == CV_8UC1 cvCalcProbDensity type == CV_32FC3 || type == CV_32FC4 warpAffine getAffineTransform cvMoments getMorphologyRowFilter int cv::cpu_baseline::(anonymous namespace)::MorphVec >::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin] virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec > >::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec >] img.depth() <= CV_8S && img.channels() == 1 void cv::spatialGradient(cv::InputArray, cv::OutputArray, cv::OutputArray, int, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/thresh.cpp cvThreshold ! image.empty() virtual cv::Mat cv::BOWKMeansTrainer::cluster() const minInertiaRatio vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/draw.cpp vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/features2d/src/kaze.cpp virtual void cv::KAZE_Impl::detectAndCompute(cv::InputArray, cv::InputArray, std::vector &, cv::OutputArray, bool) Get_Upright_MLDB_Descriptor_Subset Feature_Description (globalDescIdx>=0) && (globalDescIdx < size()) firstLevel >= 0 .ORB self_idx >= 0 depth == CV_8U && (cn == 1 || cn == 3 || cn == 4) void cv::drawChessboardCorners(cv::InputOutputArray, cv::Size, cv::InputArray, bool) _rvec1->rows == 3 && _rvec1->cols == 1 && CV_ARE_SIZES_EQ(_rvec1, _rvec2) Rotation must be represented by 1x3 or 3x1 floating-point rotation vector, or 3x3 rotation matrix The tilted sensor model must have 14 parameters in the distortion matrix Principal point must be within the image double cv::calibrateCameraRO(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::Size, int, cv::InputOutputArray, cv::InputOutputArray, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int, cv::TermCriteria) cv::Vec3d cv::RQDecomp3x3(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray) img.channels() == 1 && img.depth() == CV_8U D.empty() || ((D.total() == 4) && (D.depth() == CV_32F || D.depth() == CV_64F)) (_R.size() == Size(3, 3) || _R.total() * _R.channels() == 3) && (_R.depth() == CV_32F || _R.depth() == CV_64F) InitExtrinsics vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/five-point.cpp _R.cols() == 3 _normalizedInputPoints.rows() == 1 || _normalizedInputPoints.cols() == 1 objType solveP3P preFilterType must be = CV_STEREO_BM_NORMALIZED_RESPONSE virtual void cv::DISOpticalFlowImpl::PatchInverseSearch_ParBody::operator()(const cv::Range &) const dst.cols == (src1.cols*2) void cv::VariationalRefinementImpl::warpImage(cv::Mat &, cv::Mat &, cv::Mat &, cv::Mat &) convertAndUnrollScalar void cv::min(const cv::Mat &, const cv::Mat &, cv::Mat &) void cv::hal::cpu_baseline::max8u(const uchar *, size_t, const uchar *, size_t, uchar *, 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::addWeighted64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *) void cv::hal::xor8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *) void cv::hal::mul16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *) NULL pointer Some of required array pointers is NULL Array should be CvMat or IplImage cvSetRealND Null pointer to image InputOutputArrayOfArrays: == > string unknown void cv::cpu_baseline::cvt8s32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt16u8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) dst.size() == src.size() && dst.type() == CV_MAKETYPE(lut.depth(), src.channels()) dft double cv::invert(cv::InputArray, cv::OutputArray, int) (size_t)eigenvectors64f.cols == n [ INFO: OpenCV/4.1.1 void cv::hal::gemm64fc(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int) scn + 1 == m.cols double cv::norm(const cv::SparseMat &, int) size dims step !fixedSize() || ((cuda::GpuMat*)obj)->size() == _sz d == 2 && ((sizes[0] == sz.height && sizes[1] == sz.width) || (allowTransposed && sizes[0] == sz.width && sizes[1] == sz.height)) !fixedSize() || len == ((std::vector*)v)->size() / esz CV_MAT_TYPE(mtype) cv::SumSqrFunc cv::cpu_baseline::getSumSqrFunc(int) normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR || ((normType == NORM_HAMMING || normType == NORM_HAMMING2) && src1.type() == CV_8U) Advanced Micro Devices, Inc. OPENCV_OPENCL_DEVICE_MAX_WORK_GROUP_SIZE codeStr_.empty() _releaseBufferEntry _allocateBufferEntry u->urefcount == 0 short half16 CL_DEVICE_PARTITION_FAILED CL_BUILD_PROGRAM_FAILURE CL_IMAGE_FORMAT_MISMATCH setColorArray }
rt strlen(encoding) < 1000 key2 < fs->p->str_hash_data.size() } Closing tag should not include any attributes lt Name should start with a letter or underscore Attribute value should be put into single or double quotes ::operator()(const uchar *, uchar *, int) const virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::XYZ2RGB_i] void cv::hal::cvtBGRtoLab(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool) virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Lab2RGB_b] virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker >::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGBA2mRGBA] void cv::hal::cvtBGR5x5toBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/color_yuv.simd.hpp cv::LUT only supports tables of size 256. imgLabels.cols == img.cols The hull matrix must have the same type as input or 32sC1 (integers) src.rows == dst.rows && src.cols*6 == dst.cols*dst.channels() && dst.depth() == CV_32F distanceATS_L1_8u connectivity == 8 || connectivity == 4 pts && npts && ncontours >= 0 && 0 <= thickness && thickness <= MAX_THICKNESS && 0 <= shift && shift <= XY_SHIFT cvInitFont Bad or unsupported metric type FilterEngine__start int cv::cpu_baseline::RowVec_32f::operator()(const uchar *, uchar *, int, int) const int cv::cpu_baseline::SymmColumnSmallVec_32f::operator()(const uchar **, uchar *, int) const imageFeatures_.size() == templFeatures_.size() intersectConvexConvex endLearning PTRMRV NUSMSTRVPVOTOS MXQMNV QMUMVOVQUTTURVNV NVRMOV OVTV MWOPUPOVUV MXUSTQRPPQOSPURVTUUS VPSY LYRQQPOPNQNSOTQTRSSQTPVPWQWSVTTTSSRQ F^JFJ[ JFR[ ZFR[ ZFZ[ G]KFK[ YFY[ KFYF G]RFR[ ILJLKMLQMSNTQUSUVTWSXQYMZL[L @aEMCLBJBICGEFFFHGIIIKHPGTE[ GTJLLHMGOFPFRGSISKRPQTO[ QTTLVHWGYFZF\G]I]K\PZWZZ[[\[^Z_YaV H^ULTNSOQPOPNNNLOIQGTFWFYGZIZMYPWSSWPYNZK[I[HZHXIWKWMXPZS[V[YZ[X I\MFM[ MQPNRMUMWNXQX[ J[XPWNTMQMNNMPNRPSUTWUXWXXWZT[Q[NZMX LZRRPRNSMTLVLXMZO[Q[SZTYUWUUTSRRQSQURWTXWXYWZV H\XMWPURRSQSNRLPKMKLLINGQFRFUGWIXMXRWWUZR[P[MZLX KYQFOGNINKOMQNSNUMVKVIUGSFQF D`DD`` JZMJLM XJWM PPOS UPTS MVLY XVWY MKWK MLWL PQTQ PRTR MWWW MXWX KYTKKX SMTX TKUX NTTT IXNX RXWX KZTKPX UKQX PKNNOKZKYNYK NXSX KYNORX OORV VORX LOQO TOXO KZQHQ\ THT\ WLVLVMWMWLUKPKNLNNOPVSWT NNOOVRWTWVVWTXQXOWNVNUOUOVNV G\XIYLYFXIVGSFQFNGLIKKJNJSKVLXNZQ[S[VZXXYV QFOGMILKKNKSLVMXOZQ[ G]HQIOKMNMONOPNTL[ MMNNNPMTK[ NTPPRNTMVMXNYOYRXWUb VMXOXRWWTb H\PFJ[ QFK[ XNWOXPYOYNXMWMUNQROSMS OSQTSZT[ OSPTRZS[U[WZYW MFQF IZJQKOMMPMQNQPPTN[ OMPNPPOTM[ PTRPTNVMXMYNYOXPWOXN KYOBOb UBUb F^[FI[ NFPHPJOLMMKMIKIIJGLFNFPGSHVHYG[F WTUUTWTYV[X[ZZ[X[VYTWT G`PMMNKPJSJTKWMYPZQZTYVWWTWSVPTNQMPM ]GWG[HUN ]G]M\IVO \HVN F^NVLUKUIVHXHYI[K\L\N[OYOXNVKRJOJMKJMHPGTGWHYJZMZOYRVVUXUYV[X\Y\[[\Y\X[VYUXUVV JMKKMIPHTHWIYKZM F^JHNJPLQOQRPUNWJY JHMIOJQLRO RRQUOWMXJY ZHWIUJSLRO RRSUUWWXZY ZHVJTLSOSRTUVWZY IP[P IQ[Q I[YHXJVOTUSWQZO[ SLRNPONOMMMKNIPGSF\FZGYHXKVSUVTXRZO[M[KZJYJXKWLXKY UFYGZG K[UUTSRRPRNSMTLVLXMZO[Q[SZTX PRNTMVMYO[ VRPd WRT[R`PdOfMgLfLdMa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ull pointer Invalid histogram type HoughCircles dst.cols < SHRT_MAX && dst.rows < SHRT_MAX && src.cols < SHRT_MAX && src.rows < SHRT_MAX cvGetSpatialMoment virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec > >::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec >] cvMorphologyEx divSpectrums pyrDown_ vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/smooth.dispatch.cpp ksize == 3 vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/subdivision2d.cpp edgeDst(edge, &t) > 0 dst.type() == src.type() maxThreshold filterByInertia matches1to2.size() == correctMatches1to2Mask.size() computeRecallPrecisionCurve void cv::FAST(cv::InputArray, std::vector &, int, bool, FastFeatureDetector::DetectorType) .KAZE sublevels MLDB_Fill_Values findQuadNeighbors Size of position vector must be 4x1! homogeneous2dualQuaternion checkChessboardBinary below.size() == belowSeeds.size() Basis size is not 2 src.channels() == 1 CalibrateExtrinsics abs_max < threshold _dst.fixedType() _R.type() == CV_64FC1 Type of _Data must be one of CV_32FC2, CV_32FC3, CV_64FC2, CV_64FC3 type_input npoints >= 4 && npoints == std::max(ipoints.checkVector(2, CV_32F), ipoints.checkVector(2, CV_64F)) preFilterCap must be within 1..63 SADWindowSize must be odd, be within 5..255 and be not larger than image width or height _disp.type() == CV_16S || _disp.type() == CV_32S preFilterSize type == CV_8UC1 || type == CV_16SC1 uniquenessRatio validateDisparity vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/calib3d/src/triangulate.cpp The first output matrix must have two channels; one for x and one for y virtual void cv::BackgroundSubtractorMOG2Impl::apply(cv::InputArray, cv::OutputArray, double) meanShift type == CV_32F || type == CV_64F Failed to allocate %llu bytes compare cvInRangeS cvMax void cv::hal::cpu_baseline::cmp16s(const short *, size_t, const short *, size_t, uchar *, size_t, int, int, int) void cv::hal::cpu_baseline::mul64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/array.cpp cvGetMat cvGetRealND Asynchronous result has not been fetched Waiting for async result ... dims(-1)=%d mixChannels void cv::cpu_baseline::cvt8s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::cpu_baseline::cvt8u32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *) void cv::hal::cvt16f32f(const cv::float16_t *, float *, int) void cv::hal::addRNGBias64f(double *, const double *, int) void cv::Mat::convertTo(cv::OutputArray, int, double, double) const vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/core/src/convert_scale.dispatch.cpp cv::BinaryFunc cv::getCvtScaleAbsFunc(int) dst.u != NULL size() == mask.size() flip cvCopy NULL sequence pointer cvTreeToNodeSeq subspaceProject LUT log void cv::hal::cpu_baseline::exp64f(const double *, double *, int) cvPerspectiveTransform cvProjectPCA pop_back Invalid matrix initializer type src.size() == dst.size() && (src.cols == 1 || src.rows == 1) hdr i < (int)vv.size() clear _mask.empty() || _mask.type() == CV_8UC1 void cv::hal::merge32s(const int **, int *, int, int) minMaxLoc getBufferPoolController(): unknown BufferPool ID
dst->refcount == 0 u->mapcount++ == 0 u->origdata != 0 ushort4 short3 int3 half ulong16 _sat CL_D3D10_RESOURCE_NOT_ACQUIRED_KHR CL_INVALID_QUEUE_PROPERTIES CL_MISALIGNED_SUB_BUFFER_OFFSET CL_COMPILER_NOT_AVAILABLE durationNS !mean.empty() && !eigenvectors.empty() && ((mean.rows == 1 && eigenvectors.rows == data.cols) || (mean.cols == 1 && eigenvectors.rows == data.rows)) void cv::PCAProject(cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray) -.Inf processSpecialDouble cv_gets .xml.gz file != 0 ...
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_ofs >= 0 '\uXXXX' currently not supported tag_type == CV_XML_OPENING_TAG Invalid closing tag for refcount == 0 utils::findDataFile(): can't find data file via cache_path.empty() || utils::fs::isDirectory(cache_path) WARN true void cv::approxPolyDP(cv::InputArray, cv::OutputArray, double, bool) void cv::cpu_baseline::bilateralFilterInvoker_32f(int, int, int, int *, const cv::Mat &, cv::Mat &, float, float *, float *) global_hysteresis void cv::hal::cvtBGRtoGray(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool) void cv::hal::cvtGraytoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int) void cv::hal::cvtMultipliedRGBAtoRGBA(const uchar *, size_t, uchar *, size_t, int, int) cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::TO_YUV>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::TO_YUV] total >= 0 && (depth == CV_32F || depth == CV_32S) vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/demosaicing.cpp Mask size should be 3 or 5 or 0 (precise) Unknown metric type getFontData The flow matrix size does not match to the signatures' sizes The flow matrix must be 32fC1 int cv::cpu_baseline::FilterEngine__start(cv::FilterEngine &, const cv::Size &, const cv::Size &, const cv::Point &) virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = double, VecOp = cv::cpu_baseline::RowNoVec] virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec] virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::ColumnNoVec] srcType virtual int cv::FilterEngine::start(const cv::Size &, const cv::Size &, const cv::Point &) Connectivity must be 4, 0(=4) or 8 getGaborKernel checkMask MWOMOV OMUV UMUV MXRMPNOPOSPURVSVUUVSVPUNSMRM MWOMOV OMSMUNUQSROR NWPMPV UPPT RSUV MWQMOSPURVTUUSTQRPPQOS PURPRQSQSPRP RURVSVSURU H\RUJPRTZPRU F^JJQJUKWLYNZQZSYVWXUYQZJZ ORZR HYLFL[ LFXF E]JMHLGJGIHGJFKFMGNINKMOLRKVKXLZN[P[RZSYUUXMZF XMWQVWVZW[X[ZZ[Y]V H]QMONMPLRKUKXLZN[P[RZUWWTYPZM QMSMTNUPWXXZY[Z[ L[LVNRLXLZM[O[QZSXUU VRPdOfMgLfLdMaP^S\U[XY[V H\WFMFLOMNPMSMVNXPYSYUXXVZS[P[MZLYKW PSSRRSQSPRPQQPRPSQSSRUQV QQQRRRRQQQ D`DR`R DRRb `RRb LXLLLXXXXLLL JYPKLX QKMX NKUKWLWNVPSQ UKVLVNUPSQ OQRQTRUSUUTWQXJX RQTSTUSWQX NWRKRLSLSKRK RORX SOSX POSO PXUX LWRKQLQMSNVNVMSNPOOPNRNTOVPWRXSYS[R\P\O[ SNQOPPOROTPVRX LYOMONNNNMOLQKTKVLWNVPTQQROSNUNX TKULVNUPTQ NWOVPVSWVWWV PVSXVXWVWU NVSKPO SKTLPO F^OFI[ PFJ[ LFWFZG[I[KZNYOVP WFYGZIZKYNXOVP MPVPXQYSYUXXVZR[F[ VPWQXSXUWXUZR[ I[XFSWRYQZO[M[KZJXJVKULVKW WFRWQYO[ TF[F H]NFRPO[ OFSPP[ ]FSP LFRF YF_F L[S[ G]IB[b H[LSXSXQWOVNTMQMNNLPKSKULXNZQ[S[VZXX WSWPVN QMONMPLSLUMXOZQ[ MXRFQGRHSGRF RMR[ SMS[ OMSM O[V[ MXSFRGSHTGSF TMT_SaQbObNaN`O_P`Oa SMS_RaQb PMTM H\QMNNLPKSKULXNZQ[S[VZXXYUYSXPVNSMQM QMONMPLSLUMXOZQ[ S[UZWXXUXSWPUNSM H\LJMKLLKKKJLHMGPFTFWGXHYJYLXNUPPRNSLUKXK[ TFVGWHXJXLWNTPPR KYLXNXSZVZXYYX NXS[W[XZYXYV H\PFMGLILLMNPOTOWNXLXIWGTFPF PFNGMIMLNNPO TOVNWLWIVGTF POMPLQKSKWLYMZP[T[WZXYYWYSXQWPTO PONPMQLSLWMYNZP[ T[VZWYXWXSWQVPTO MWRFQHRTSHRF RHRN RYQZR[SZRY BaGBQPFb FBPP EBPQ EB\B^I[B Ga\a Fb\b^[[b H]ZKYIWGUFQFOGMILKKNKSLVMXOZQ[U[WZYXZV ZKYKXIWHUGQGOHMKLNLSMVOYQZUZWYXXYVZV H\PKOLMLLKLIMGOFQFSGTITLSPQUOXMZJ[H[GZGXHWIXHY QFRGSISLRPPUNXLZJ[ ]G\H]I^H^G]F[FYGWIULSPRURXSZT[U[WZYX LZLVNSPO SFMXMZO[P[RZTXUUURVVWWXWZV TFNXNZO[ LXOYQXRWSUSSRRQROSNTMVMXNZP[S[VYXV QROTNVNYP[ NWSFRGRM SGRM SFTGRM MXPYOZP[QZPY H]RFRb SFSb OFSF RPQNPMNMLNKQKWLZN[P[QZRX NMMNLQLWMZN[ WMXNYQYWXZW[ SPTNUMWMYNZQZWYZW[U[TZSX ObVb CbHMH[ IMI[ RMR[ SMS[ \M\[ ]M][ EMLM OMVM YM`M E[`[``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void cv::calcBackProject(const cv::Mat *, int, const int *, const cv::SparseMat &, cv::OutputArray, const float **, double, bool) cvCompareHist _map2.empty() || (_map2.size() == _map1.size()) _lines.depth() == CV_32F || _lines.depth() == CV_32S vendor/qcom/proprietary/camx/camx-lib/system/mfnr/opencv/imgproc/src/morph.simd.hpp virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec > >::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp