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1548786822 501 20 100644 320444 ` calibration.cpp.o H.- __text__TEXT2__gcc_except_tab__TEXTL__literal8__TEXT8__literal16__TEXT __literal4__TEXT(__cstring__TEXT1__bss__DATA-X__const__DATA`!__data__DATApX Ȫ __const__TEXTVp __compact_unwind__LD( __eh_frame__TEXT"( h'x h$ % PII5~hUHAWAVAUATSHHMHUHuIMtfABBuSA~$~LA~ ~EH}t>INHt5HMȋ ʁBBuHUȃz$~HUȃz ~ HUHzu_W)EH]tHH5ktHHH )ABHH}AHMȋ 1fu %rVW)EH]HH5HHWH b)ADHH}EV$HED;P tgW)EH]HH== B->roHHHA->cols Hf@wsHH )AEHH}EV$E~ HELcX$@ɀPHAH}DUL]HEA3fu DAHM9A uDAHM9A$t^W)EH]}HH5M}HHH )AOHH}DUL]H}HEA3fu(HEȋ@$AN HU9J uHMA HM9A$t^W)EH]}HH5+}HHrH })AUHH}DUL]L0A#EEσDME DAH}HHELPAGHHMcAHHDHHHxHH)H@JH`H@LHH8HHhJ4MIHvH JH(1LXHHHfff.șApșAAHEHX@HMLcPHEH@HE~J<3HDML]DUIcHEEL`pEAHxLcs1YHEHMHK Ht 1H@LL@:|B<|B<|B<A B :HLLLLI9uDMHH}t3LHHMI IHIHhAA $IIHuHMD9LXwEDAH}HHELPAGHHhIcՍAHHDHHHxHH)H8L$HHHH@HHHHH`MILHH(KdJ4HvH1LXHH Hf.șApșAAHEHX@HMLc能PHEH@HE~J<+HhDML]DUIcHEEpEAHxLcs 1uHEHMHKLHt 1L8HLL fff.H:H|J<"H|J<H|J< H3AHHMABBuA~$~A~ ~ I~W)HHHd matrixHHHa valid HHH is not HHHJacobianHHyH AHHAAM1% W)H*HH1 datatyHH H or 64fCHHHve 32fC1HHH must haHHHJacobianHf@(peHH 3AHHAF t uA~$u A~$ t~W)HHH 3x9 or HHH must beHHHJacobianH@3f@9xH+H 97AHHLxAu AM$uA| AEAAƉAAUƒW)L$LH, 3x1 orHHHt be 1x3HHHtrix musHHHInput maH@ 3x3HCH Q7A$LHA uA$uAfW)H?HHt matrixHH7Hng pointHH0Hl floatiHH(He-channeHH H3, singlHHHst be 3xHHHatrix muHHHOutput mHHmH {7A'HHHDž HDžHDžXpu6IEZf֝ IcEIcf:!Zf0IEHH IcH4HHcfHnfHnf$f(fXfoYf(YXYXQ f.LxH?HHDžHDžHDžHHD$HHD$HHHL$H$LMfWf)Ef)`f)f)Ef)@f)Ef)Ef)pf)Pf)0f) f)f)HEHHEHhHH]HHH(MA f)Pf`f)f(f)\f)`fEWfA.fWu{^f(fD(DYD f)f(PfYff(fXAfA(ffYfA(YfYfD(EYf)ff)fDf(-ϾfWfE(fDWfWHDž@fHf)PHDž`fDhfpDxHDžfD(EYf(fYYfYDYfA(fAfXAXfXEXfsf(fYfYDYfAfYf(fXf)f: fXf)f(fAfXf)f: fXf)AXHHH1ҹE1E1HLHDžDžpHxAHHp2fWHHHtHu HHDžHHDž8HDž0HDž(HDž ~(HP1fHHcH9|HXH`H9tHHtHu HHDžHDžHDžHDžHDž~!H1fHHcH9|HHH9tM-H fHnXHHHXHHfWf)HHDžHDžHDžHHDžHfHnXHHDžH HDž8HDž0HDž(H@HDžPHDžHHXH`HhfHnXpf)0f)@f)`f)f)f)f)f)f)f)pf)Pf) f)f(f(fD(AYf)PDY-HDYf(DXYf(f(\f(f)fD(f(f)D f(YfA(YfWfD(Y\Yf(fYfDfA\f(fAYfXf(@f)YfD(fDYfDXHDžHH8H?HHHhHHHfA(f)Df(fAYfAXf)fD(fD(fEYfD\fD(fEYfEXf(Pf)@fD(fDYfEXf( fAYfAXf)fD(f(fAYfA\fD(fEYfDXf(`f)f(fYfAXf(0fAYfXf)f(f)0fYf\f(fAYfXf(pf)`fYfXf(@fAYfXf) YPX YXPYX0f(YfA(YY\f(Ydf(fD(fAYff\ffAYfXfD(AYf(fD(fAYfXfXfAYfXf8f(fAYf\ffAYfXf(fY@fXfhfAYfXfHf(fAYf\ffAYfXf(f(fYfXfxfAYfXfXfY0f\ffAYfXfY`fXffAYfXfh(f(PYXY XYXxXf(YDYDYfWYAfA(fYf(fD(ff\f(0fAYfXAfDYfDXf(fAYfAXf)UfDYfD\f(@fAYfAXf(@fYfXf(fAYfXf)efDYfD\f(PfAYfAXfYfXf(fAYfXf)]fY0f\fDY`fDXfY`fAXfDYfDXfD)MDYE\f(YpAXDY DXf(YAXEM `Lxs j W))))HDž))))pHDž)HDžAO ~&AGAAău?A$u8Afu.Au!A%AG$AW)H HH3 or 3x1HHHst be 1xHHHatrix muHHHOutput mHHyH 7AuHHH1ҹE1E1HLL LHH0HtHu HHDž0HDž HDžHDžHDž~'H81HHcH9|H@HHH9tDžLHHH 1HLx+H HHHpfDxf)f)pfE(fDf(fAfYfEWfAXfD(fA(ffAfYfXfDDEfA(ffAfDYfDXfYfYfAXfXDAfYfXffAYffYfA(fAXfXfDfDYfA(fDXfA(YffAYfAXYffAYfXYfAfAYfXfWXXXfD) f0f8f(fA\fA(f()`\f)fYf(Xf)f(YXfD)0)@DXDXQDXDY KA_Ff(Af(fUfTfVfD)fDHf)PfXf) `Y=ڬWQf)f(ʬf.Tf(f. fD(fWfWC(PfD(f(0AX aYfWfW_DQf(@AXYfW_Qf(`%f(fTfAUfVYf( 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W-dcwm*> RJ==FP[bD+,>/9nP>m   >s  |+s9n^?hiuuw    #oo1T]d Yk}k%y @҄AAoO(CkBOe 5| @ Q ]7 5 l ;1 BL @g ;uUf: 6m0 f^tqlred\uT)uLuD7 .o*]o&&Yk k}>kk Jt H ,f,3+R},R++++i ) +7 |+w ) w+ e,' r+A N+ !M, I+ %+y  +E !5, + 3,+)*C*V*z****Q$*|*+)))g{)6c)!)q-,,,,M!,n, 2-P--,9,/^)/Y)qQ)iuI)uA)u9)u1)t*l*Y d* \*!T*9"L*"~D*r#<*$4*$l,*9%u$*%u*Y&u*&u *y'u* (u)(u), ,e-; .;.kN<Y/uF</u><y0u6< 1u.<1&<92<2<y3<4<4;Y5~;5;6;27l;7u;I8u;8u;i9u;9u;:u;;u;;IA O, PecGE'+~g^}u!d \!F >I Tg xp)'J4 fa)![  ^~b+^o րNnnaC|Y'y^[!!AGn.6v\i?YY@???h㈵><??>@@??MbP?𿻽|=@ףp= ?<@>?@ףp= ???h㈵>{Gz?Y@?cܥL@?<??@?????<ư>?>?<cܥL@????@B@B??????????>>@F@F??cܥL@cܥL@?0C0E0C0E@B>@@@@@@A@F(((A) != __null && (((const CvMat*)(A))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(A))->cols > 0 && ((const CvMat*)(A))->rows > 0) && ((const CvMat*)(A))->data.ptr != __null) && (((B) != __null && (((const CvMat*)(B))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(B))->cols > 0 && ((const CvMat*)(B))->rows > 0) && ((const CvMat*)(B))->data.ptr != __null)cvCalcMatMulDeriv/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/calibration.cpp((((A)->type ^ (B)->type) & ((1 << 3)*512 - 1)) == 0) && (((A->type) & ((1 << 3)*512 - 1)) == 5 || ((A->type) & ((1 << 3)*512 - 1)) == 6)A->cols == B->rows((((A)->type ^ (dABdA)->type) & ((1 << 3)*512 - 1)) == 0) && dABdA->rows == A->rows*B->cols && dABdA->cols == A->rows*A->cols((((A)->type ^ (dABdB)->type) & ((1 << 3)*512 - 1)) == 0) && dABdB->rows == A->rows*B->cols && dABdB->cols == B->rows*B->cols(((_rvec1) != __null && (((const CvMat*)(_rvec1))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_rvec1))->cols > 0 && ((const CvMat*)(_rvec1))->rows > 0) && ((const CvMat*)(_rvec1))->data.ptr != __null) && (((_rvec2) != __null && (((const CvMat*)(_rvec2))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_rvec2))->cols > 0 && ((const CvMat*)(_rvec2))->rows > 0) && ((const CvMat*)(_rvec2))->data.ptr != __null)cvComposeRT((_rvec1->type) & ((1 << 3)*512 - 1)) == 5 || ((_rvec1->type) & ((1 << 3)*512 - 1)) == 6_rvec1->rows == 3 && _rvec1->cols == 1 && ((_rvec1)->rows == (_rvec2)->rows && (_rvec1)->cols == (_rvec2)->cols)(((_tvec1) != __null && (((const CvMat*)(_tvec1))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_tvec1))->cols > 0 && ((const CvMat*)(_tvec1))->rows > 0) && ((const CvMat*)(_tvec1))->data.ptr != __null) && (((_tvec2) != __null && (((const CvMat*)(_tvec2))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_tvec2))->cols > 0 && ((const CvMat*)(_tvec2))->rows > 0) && ((const CvMat*)(_tvec2))->data.ptr != __null)((_tvec1)->rows == (_tvec2)->rows && (_tvec1)->cols == (_tvec2)->cols) && ((_tvec1)->rows == (_rvec1)->rows && (_tvec1)->cols == (_rvec1)->cols)Input argument is not a valid matrixcvRodrigues2The first output argument is not a valid matrixThe matrices must have 32f or 64f data typeAll the matrices must have the same data typeJacobian is not a valid matrixJacobian must have 32fC1 or 64fC1 datatypeJacobian must be 3x9 or 9x3Input matrix must be 1x3, 3x1 or 3x3Output matrix must be 3x3, single-channel floating point matrixOutput matrix must be 1x3 or 3x1One of required arguments is not a valid matrixcvProjectPoints2Homogeneous coordinates are not supportedRotation must be represented by 1x3 or 3x1 floating-point rotation vector, or 3x3 rotation matrixTranslation vector must be 1x3 or 3x1 floating-point vectorInstrinsic parameters must be 3x3 floating-point matrixdp/drot must be 2Nx3 floating-point matrixdp/dT must be 2Nx3 floating-point matrixdp/df must be 2Nx2 floating-point matrixdp/dc must be 2Nx2 floating-point matrixdp/df must be 2Nx14, 2Nx12, 2Nx8, 2Nx5, 2Nx4 or 2Nx2 floating-point matrixdistCoeffs is NULL while dpdk is not(((objectPoints) != __null && (((const CvMat*)(objectPoints))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(objectPoints))->cols > 0 && ((const CvMat*)(objectPoints))->rows > 0) && ((const CvMat*)(objectPoints))->data.ptr != __null) && (((imagePoints) != __null && (((const CvMat*)(imagePoints))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(imagePoints))->cols > 0 && ((const CvMat*)(imagePoints))->rows > 0) && ((const CvMat*)(imagePoints))->data.ptr != __null) && (((A) != __null && (((const CvMat*)(A))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(A))->cols > 0 && ((const CvMat*)(A))->rows > 0) && ((const CvMat*)(A))->data.ptr != __null) && (((rvec) != __null && (((const CvMat*)(rvec))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(rvec))->cols > 0 && ((const CvMat*)(rvec))->rows > 0) && ((const CvMat*)(rvec))->data.ptr != __null) && (((tvec) != __null && (((const CvMat*)(tvec))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(tvec))->cols > 0 && ((const CvMat*)(tvec))->rows > 0) && ((const CvMat*)(tvec))->data.ptr != __null)cvFindExtrinsicCameraParams2(((rvec->type) & ((1 << 3) - 1)) == 6 || ((rvec->type) & ((1 << 3) - 1)) == 5) && (rvec->rows == 1 || rvec->cols == 1) && rvec->rows*rvec->cols*((((rvec->type) & ((512 - 1) << 3)) >> 3) + 1) == 3(((tvec->type) & ((1 << 3) - 1)) == 6 || ((tvec->type) & ((1 << 3) - 1)) == 5) && (tvec->rows == 1 || tvec->cols == 1) && tvec->rows*tvec->cols*((((tvec->type) & ((512 - 1) << 3)) >> 3) + 1) == 3Both object points and image points must be 2DcvInitIntrinsicParams2Dobject points and image points must be a single-row matricesSome of parameters is a NULL pointer!cvCalibrationMatrixValuesInput parameters must be a matrices!(((_imagePoints1) != __null && (((const CvMat*)(_imagePoints1))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_imagePoints1))->cols > 0 && ((const CvMat*)(_imagePoints1))->rows > 0) && ((const CvMat*)(_imagePoints1))->data.ptr != __null) && (((_imagePoints2) != __null && (((const CvMat*)(_imagePoints2))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_imagePoints2))->cols > 0 && ((const CvMat*)(_imagePoints2))->rows > 0) && ((const CvMat*)(_imagePoints2))->data.ptr != __null) && (((_objectPoints) != __null && (((const CvMat*)(_objectPoints))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_objectPoints))->cols > 0 && ((const CvMat*)(_objectPoints))->rows > 0) && ((const CvMat*)(_objectPoints))->data.ptr != __null) && (((_npoints) != __null && (((const CvMat*)(_npoints))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_npoints))->cols > 0 && ((const CvMat*)(_npoints))->rows > 0) && ((const CvMat*)(_npoints))->data.ptr != __null) && (((matR) != __null && (((const CvMat*)(matR))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(matR))->cols > 0 && ((const CvMat*)(matR))->rows > 0) && ((const CvMat*)(matR))->data.ptr != __null) && (((matT) != __null && (((const CvMat*)(matT))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(matT))->cols > 0 && ((const CvMat*)(matT))->rows > 0) && ((const CvMat*)(matT))->data.ptr != __null)cvStereoCalibrate((((_imagePoints1)->type ^ (_imagePoints2)->type) & ((1 << 3)*512 - 1)) == 0) && ((((_imagePoints1)->type ^ (_objectPoints)->type) & ((1 << 3) - 1)) == 0)(_npoints->cols == 1 || _npoints->rows == 1) && ((_npoints->type) & ((1 << 3)*512 - 1)) == (((4) & ((1 << 3) - 1)) + (((1)-1) << 3))(((_imagePoints1->type) & ((1 << 3) - 1)) == 5 || ((_imagePoints1->type) & ((1 << 3) - 1)) == 6) && ((_imagePoints1->rows == pointsTotal && _imagePoints1->cols*cn == 2) || (_imagePoints1->rows == 1 && _imagePoints1->cols == pointsTotal && cn == 2))(((_points1) != __null && (((const CvMat*)(_points1))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_points1))->cols > 0 && ((const CvMat*)(_points1))->rows > 0) && ((const CvMat*)(_points1))->data.ptr != __null) && (((_points2) != __null && (((const CvMat*)(_points2))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(_points2))->cols > 0 && ((const CvMat*)(_points2))->rows > 0) && ((const CvMat*)(_points2))->data.ptr != __null) && ((_points1)->rows == (_points2)->rows && (_points1)->cols == (_points2)->cols)cvStereoRectifyUncalibratedvoid cv::reprojectImageTo3D(cv::InputArray, cv::OutputArray, cv::InputArray, bool, int)stype == (((0) & ((1 << 3) - 1)) + (((1)-1) << 3)) || stype == (((3) & ((1 << 3) - 1)) + (((1)-1) << 3)) || stype == (((4) & ((1 << 3) - 1)) + (((1)-1) << 3)) || stype == (((5) & ((1 << 3) - 1)) + (((1)-1) << 3))reprojectImageTo3DQ.size() == Size(4,4)dtype == (((3) & ((1 << 3) - 1)) + (((3)-1) << 3)) || dtype == (((4) & ((1 << 3) - 1)) + (((3)-1) << 3)) || dtype == (((5) & ((1 << 3) - 1)) + (((3)-1) << 3))cols >= 0disp.size() == _3dimg.size()cvReprojectImageTo3D(((matrixM) != __null && (((const CvMat*)(matrixM))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(matrixM))->cols > 0 && ((const CvMat*)(matrixM))->rows > 0) && ((const CvMat*)(matrixM))->data.ptr != __null) && (((matrixR) != __null && (((const CvMat*)(matrixR))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(matrixR))->cols > 0 && ((const CvMat*)(matrixR))->rows > 0) && ((const CvMat*)(matrixR))->data.ptr != __null) && (((matrixQ) != __null && (((const CvMat*)(matrixQ))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(matrixQ))->cols > 0 && ((const CvMat*)(matrixQ))->rows > 0) && ((const CvMat*)(matrixQ))->data.ptr != __null) && matrixM->cols == 3 && matrixM->rows == 3 && ((matrixM)->rows == (matrixR)->rows && (matrixM)->cols == (matrixR)->cols) && ((matrixM)->rows == (matrixQ)->rows && (matrixM)->cols == (matrixQ)->cols)cvRQDecomp3x3cvDecomposeProjectionMatrixSize of projection matrix must be 3x4!Size of calibration and rotation matrices must be 3x3!Size of position vector must be 4x1!cvDet(&tmpMatrixM) != 0.0void cv::Rodrigues(cv::InputArray, cv::OutputArray, cv::OutputArray)void cv::matMulDeriv(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray)npoints >= 0 && (depth == 5 || depth == 6)projectPointscv::Mat cv::initCameraMatrix2D(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::Size, double)double cv::calibrateCamera(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::Size, cv::InputOutputArray, cv::InputOutputArray, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays, int, cv::TermCriteria)double cv::calibrateCamera(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::Size, cv::InputOutputArray, cv::InputOutputArray, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArray, cv::OutputArray, cv::OutputArray, int, cv::TermCriteria)nimages > 0calibrateCameravoid cv::calibrationMatrixValues(cv::InputArray, cv::Size, double, double, double &, double &, double &, cv::Point2d &, double &)Size of cameraMatrix must be 3x3!calibrationMatrixValuesbool cv::stereoRectifyUncalibrated(cv::InputArray, cv::InputArray, cv::InputArray, cv::Size, cv::OutputArray, cv::OutputArray, double)cv::Mat cv::getOptimalNewCameraMatrix(cv::InputArray, cv::InputArray, cv::Size, double, cv::Size, cv::Rect *, bool)cv::Vec3d cv::RQDecomp3x3(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray)void cv::decomposeProjectionMatrix(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray)Distortion coefficients must be 1x4, 4x1, 1x5, 5x1, 1x8, 8x1, 1x12, 12x1, 1x14 or 14x1 floating-point vectorOne of required vector arguments is not a valid matrixcvCalibrateCamera2Internalimage width and height must be positivethe array of point counters must be 1-dimensional integer vectorThe tilted sensor model must have 14 parameters in the distortion matrixThin prism model must have 12 parameters in the distortion matrixthe 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 viewsthe output array of translation vectors must be 3-channel 1xn or nx1 array or 1-channel nx3 array, where n is the number of viewsthe output array of standard deviations vectors must be 1-channel 1x(n*6 + NINTRINSIC) or (n*6 + NINTRINSIC)x1 array, where n is the number of views, NINTRINSIC = 18Intrinsic parameters must be 3x3 floating-point matrixThe number of points in the view #%d is < 4Focal length (fx and fy) must be positivePrincipal point must be within the imageNon-zero skew is not supported by the functionThe intrinsic matrix must have [fx 0 cx; 0 fy cy; 0 0 1] shapeThe specified aspect ratio (= cameraMatrix[0][0] / cameraMatrix[1][1]) is incorrectFor non-planar calibration rigs the initial intrinsic matrix must be specifiedtotal() == 0 || data != __nullMat/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/mat.inl.hppStep must be a multiple of esz1nimages > 0 && nimages == (int)imagePoints1.total() && (!imgPtMat2 || nimages == (int)imagePoints2.total())collectCalibrationDataobjectPoints should contain vector of vectors of points of type Point3fimagePoints1 should contain vector of vectors of points of type Point2fni == ni1ni == ni2(int)distCoeffs0.total() <= outputSizeprepareDistCoeffsni1 > 0 && ni1 == ni3adjust3rdMatrixallocator::allocate(size_t n) 'n' exceeds maximum supported sizedata && dims <= 2 && rows == m && cols == n && channels() == 1operator Matx_w.data == (uchar*)&w.val[0] && _u.data == (uchar*)&u.val[0] && _vt.data == (uchar*)&vt.val[0]compute/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/operations.hpp  ] ` q   Q    4j  w  jBN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEEEN2cv6detail8PtrOwnerE,XA0e XAm'XA@CaA0FXA@MAXAhp  P)XA XA2jXA(XA,XAd`1NUXA"X XA `X(XAPXAXAv XA̼`' XA(aA  Ah<XAH@EZ FXAd3 XAm8XA|XA}0XALmXAXA,*XAP6XA XAZXAXAt'XA|EV<XApZAA\Є 10XAXA1aA<Ћ( A|!A A@aAtzPLRx 4$,rAC P4\e sAC P4@m'tAC P,xowAC L4h"wAC P44@)AWxAC PzRx ,jp AC N4t)O|AC P4Ȏ /~AC P$2AC 4LȘj~AC P40KAC P4ˊAC P4 NUKAC P$`"AC ,`AC P4v AC M,T`AC P4ȉ(AC P4$AC P4\AC P4v [AC P4' AC P,AC L44 WAC N4lX<AC P,<ZAC G4AC P4 ;3  AC P4DD8AC P4|RAC M4S0AC P4mAC P4$ +AC P4\*AC P46AC P4 AC 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vertices.end()areVerticesAdjacentgetDegreeit1->first != *it2floydWarshallgetNeighbors_patternSize.height >= 0 && _patternSize.width >= 0CirclesGridFinderUnkown pattern typefindHolesUnknown pattern typeisDetectionCorrect!centers.empty()rectifyGridline.size() == seeds.size()findCandidateLinebelow.size() == above.size()findCandidateHolesbelowSeeds.size() == aboveSeeds.size()below.size() == belowSeeds.size()Centers are not newinsertWinnerpoints.size() == seeds.size()computeGraphConfidencebasisGraphs[0].getVerticesCount() == basisGraphs[1].getVerticesCount()samples is emptyfilterOutliersByDensityfilteredSamples is emptycenters.type() == (((5) & ((1 << 3) - 1)) + (((1)-1) << 3))findBasisBasis size is not 2degenerate basisNumber of basis graphs is not 2dm.type() == (((4) & ((1 << 3) - 1)) + (((1)-1) << 3))computePredecessorMatrixmaxLoc.x >= 0 && maxLoc.y >= 0findLongestPathlargeHoles != 0 && smallHoles != 0getAsymmetricHolesh >= 2 && w >= 2getCornerSegmentslargeSegments.size() == 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[! 7.Mo(1{  #g  6  rQ iu|hp[c; Sx " 3VddKx Tnt!v)Oorgq I  n Hcc&<< ;Y;)F!FVER'9Ec<V$E!EiD'LDN[<7DBS<By`AK<CfFdF[A VAZ QA~ LA GA @F BA8 >F =A %A  AN C@z +@3 a?on9J999I?,A?W>=L(=C<);<==[k<;!;99R{9aa`V` _O8WhV+mV}/VJV7VsUq*aUTxXUTS]SRFRRb'ReQPK^IrN P:!NP!N!'M"yM"M"M"/Ml#'M#Li%L%)L%%L,&'L&/I'AI('7I='HN'Hd'H}'H(Gq(G)G)F*F4*F*fI,~F-~F.F.FY/F/F0uF)1F1Fi2~~F#3}1939Y4~94959I696979)898 s99;:;D;;<`<F=|=>>>9??#@a@A~ABBBB/DC'DDEtEF.G}GH~HI}K!J}KJKYKKDLLNMM.NNNPOP)PyPPd]QQRJR}RESyST~TTPUU'VV0WgW_ X_X_IY_Yg_vZ_[~_[_i\_ ]_]_I^_^_w_ __;``'aarr %  4(  = Ch{kW sc   ]]!*~ *3!* *76H6++06454$+%4 4 ) 4. =j + )2 )p 4 ) ) 4 h4 3 3 u3 d3 S3 2)2 e1@~+^v+i$M1$<$H1/!)<kn+ f+F1"1! 1/^+/>E/ $/. !.>.&9 .f- oV+N+9F+>+z,1>B- =-8-E3-"c8a8?!.-+2)~* 6+ + + +!+&!+!_8!r.+C"&+"+#+)$+$+i%* &u*&*I'*'*(*))u**ov** ** * ,k-,&--.Y.o. ///10112.2a22K33`44}55(6f6k6777W8~8k9999k <A:<:<};!<G<<<~==)>O>D>D?D)@D@EeAkEA6EB.E3C&ECEoDoEDxbCk{f!5 AY!7 /hsekgZmcY1 /b l[ "   zSn Q ( j ct4 v%J6pS{uyu ': Ky'MqAswr.T}lnpMj6n9m"l$j,iZ=n==&hC"hf${e<2dj=r==F{ccbca $``^=6 rv= f=l ^ f] \F $Z vY V=V nF= 6= X X.VR$aUT&=fn==aSR>IQl$PN<vr<<NLMbK$J\I<r<?<HGF$GEC$<n<[v<GCB/A$?>7f<nV<kF<4n,ltk$HjhM=n==& hC pg f $d=(.=)X)VW.*UR*$T*fS*=f+n=+<,\S,Q>-Pl-$lO-N-<v.r</</M/Lb0<u9n9Nn:n;n< >>>J?m?o?@ox@@k'AJAkAABB:CjCCDDDo?EbEoEEkFFk4GZGG HHHTIzIJ)JoJJo4KWKkKLkLLDMjMM&NNNdOOoOPoPPkAQdQkQRRRTSST6TTToYU|UoUVkVVkNWtWX&XXXnYY ZCZoZZoN[q[k[ \k\\^]]^@^^^~__o`8`o``k[a~ak b0bbbncc*dPdddoseeo f-fkffkhggh@hhhii@jfjkjjklkkgl@lgllzmm,ninYnnUojooo!A 97!b! Z q{D Re sg - d  '+~g^IAvrj '+~cb}u!d \!F >I Tg xp4 fa)!4 fa)!4 fa)!?<@@@"@:0yE>???h㈵>??:0yE>??<-DT!-DT!?:0yE>?<@@?????-DT! @?.A333333???@??.A?I@?|=?ư>???@B?@B@B @B 0C0E0C0E0C0E0C0E ??@B@B@BBJA!# $%i')H- /D/)void cv::fisheye::projectPoints(cv::InputArray, cv::OutputArray, const cv::Affine3d &, cv::InputArray, cv::InputArray, double, cv::OutputArray)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/fisheye.cppvoid cv::fisheye::projectPoints(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, double, cv::OutputArray)objectPoints.type() == (((5) & ((1 << 3) - 1)) + (((3)-1) << 3)) || objectPoints.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3))projectPoints_rvec.total() * _rvec.channels() == 3 && (_rvec.depth() == 5 || _rvec.depth() == 6)_tvec.total() * _tvec.channels() == 3 && (_tvec.depth() == 5 || _tvec.depth() == 6)_tvec.getMat().isContinuous() && _rvec.getMat().isContinuous()_K.size() == Size(3,3) && (_K.type() == 5 || _K.type() == 6) && _D.type() == _K.type() && _D.total() == 4void cv::fisheye::distortPoints(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, double)undistorted.type() == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || undistorted.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))distortPointsK.size() == Size(3,3) && (K.type() == 5 || K.type() == 6) && D.total() == 4void cv::fisheye::undistortPoints(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray)distorted.type() == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || distorted.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))undistortPointsP.empty() || P.size() == Size(3, 3) || P.size() == Size(4, 3)R.empty() || R.size() == Size(3, 3) || R.total() * R.channels() == 3D.total() == 4 && K.size() == Size(3, 3) && (K.depth() == 5 || K.depth() == 6)void cv::fisheye::initUndistortRectifyMap(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, const cv::Size &, int, cv::OutputArray, cv::OutputArray)m1type == (((3) & ((1 << 3) - 1)) + (((2)-1) << 3)) || m1type == 5 || m1type <=0initUndistortRectifyMap(K.depth() == 5 || K.depth() == 6) && (D.depth() == 5 || D.depth() == 6)(P.empty() || P.depth() == 5 || P.depth() == 6) && (R.empty() || R.depth() == 5 || R.depth() == 6)K.size() == Size(3, 3) && (D.empty() || D.total() == 4)void cv::fisheye::undistortImage(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, cv::InputArray, const cv::Size &)void cv::fisheye::estimateNewCameraMatrixForUndistortRectify(cv::InputArray, cv::InputArray, const cv::Size &, cv::InputArray, cv::OutputArray, double, const cv::Size &, double)K.size() == Size(3, 3) && (K.depth() == 5 || K.depth() == 6)estimateNewCameraMatrixForUndistortRectifyD.empty() || ((D.total() == 4) && (D.depth() == 5 || D.depth() == 6))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)(_R.size() == Size(3, 3) || _R.total() * _R.channels() == 3) && (_R.depth() == 5 || _R.depth() == 6)stereoRectifydouble cv::fisheye::calibrate(cv::InputArrayOfArrays, cv::InputArrayOfArrays, const cv::Size &, cv::InputOutputArray, cv::InputOutputArray, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays, int, cv::TermCriteria)!objectPoints.empty() && !imagePoints.empty() && objectPoints.total() == imagePoints.total()calibrateimagePoints.type() == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || imagePoints.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))K.empty() || (K.size() == Size(3,3))D.empty() || (D.total() == 4)rvecs.empty() || (rvecs.channels() == 3)tvecs.empty() || (tvecs.channels() == 3)(!K.empty() && !D.empty()) || !(flags & CALIB_USE_INTRINSIC_GUESS)double cv::fisheye::stereoCalibrate(cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::InputArrayOfArrays, cv::InputOutputArray, cv::InputOutputArray, cv::InputOutputArray, cv::InputOutputArray, cv::Size, cv::OutputArray, cv::OutputArray, int, cv::TermCriteria)!objectPoints.empty() && !imagePoints1.empty() && !imagePoints2.empty()stereoCalibrateobjectPoints.total() == imagePoints1.total() || imagePoints1.total() == imagePoints2.total()imagePoints1.type() == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || imagePoints1.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))imagePoints2.type() == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || imagePoints2.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))K1.empty() || (K1.size() == Size(3,3))D1.empty() || (D1.total() == 4)K2.empty() || (K1.size() == Size(3,3))D2.empty() || (D1.total() == 4)(!K1.empty() && !K2.empty() && !D1.empty() && !D2.empty()) || !(flags & CALIB_FIX_INTRINSIC)abs_max < thresholda.type() == (((6) & ((1 << 3) - 1)) + (((1)-1) << 3))operator+operator=void cv::internal::projectPoints(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, const cv::internal::IntrinsicParams &, cv::OutputArray)!objectPoints.empty() && objectPoints.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3))ComputeExtrinsicRefine!imagePoints.empty() && imagePoints.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))cv::Mat cv::internal::ComputeHomography(cv::Mat, cv::Mat)cv::Mat cv::internal::NormalizePixels(const cv::Mat &, const cv::internal::IntrinsicParams &)NormalizePixels!_objectPoints.empty() && _objectPoints.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3))InitExtrinsics!_imagePoints.empty() && _imagePoints.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3))!objectPoints.empty() && (objectPoints.type() == (((5) & ((1 << 3) - 1)) + (((3)-1) << 3)) || objectPoints.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3)))CalibrateExtrinsics!imagePoints.empty() && (imagePoints.type() == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || imagePoints.type() == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3)))omc.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3)) || Tc.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3))CALIB_CHECK_COND - Ill-conditioned matrix for input array %dComputeJacobians!omc.empty() && omc.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3))!Tc.empty() && Tc.type() == (((6) & ((1 << 3) - 1)) + (((3)-1) << 3))svd.w.at(0) / svd.w.at(svd.w.rows - 1) < thresh_condEstimateUncertaintiesA.getMat().cols == B.getMat().rowsdABA.type() == (((6) & ((1 << 3) - 1)) + (((1)-1) << 3)) && B.type() == (((6) & ((1 << 3) - 1)) + (((1)-1) << 3))row.type() == (((6) & ((1 << 3) - 1)) + (((1)-1) << 3))median!row.empty() && row.rows == 1m.depth() == 6 && m.getMat().rows == 1median3dsrc.channels() == 1subMatrixdata && dims <= 2 && rows == m && cols == n && channels() == 1operator Matx/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/mat.inl.hpptotal() == 0 || data != __nullMatStep must be a multiple of esz1data && dims <= 2 && (rows == 1 || cols == 1) && rows + cols - 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[ } uF!V!}8me!"%!PI]AU!D( H|{$kME4Vs!xv{NkSK!72=$+\5-!X-M! xX%: Sm !N  Z!m!!!r!!""!# ?# ##$!A$Jr$% E((-(+()(F)$Z)"E*e*:+wV++,F-$J-$-'C..ݛ/$/$(C0'v0՛<1͛1$q2$2'2ś|34$Q4$H4'&55\6!}6.7D7Uh717N88 929!S9<9r:3:w:;;$;<<_<B==}>(=? 8B?m?!3?$?"@@aaAAuNBmB~eC$C$CD'9D]2EUE$1 F$F'FMrGEH$KH$H'oI=I5UJ$gJ$J' UK-K%L!LPkMMMMNO;OO!OFP \PXP;P nQR$3=RRR !S^ST?U(gU UU!ݽ V$+LV"W!W WHXXiY~ݚ Z$0EZ$~Z'Ӹ[՚[͚O\$θ\$]'qL]Ś]^$l^$I_'_<``$ a$Xa'abc!@c"c3d2ddodee_e;f!6&fffgCgg}h$h;]ixsiƭiiujmk(k l6l!ol$l"=gmzmȪ*nqne%o]o~U_p$p$Nq'_qMrEr$r$Zs'As=Bt5t$<u$u'ߥu-v%&w$ڥXw$(w.}*x}x\y!x}yƣ.zDzQhz4z N{{/{ 5|!V|T|}ߟ6}Ÿs}~~!~ Hy7tToyje`Ձ[VQ@PEu%Y Q"""~"s.h % #Xɇ%CXLuBlG =BCNJݙi~ՙ͙~řB5O9ْy~}Ruumue ӘI\ mėo8^h˘  /G X՜oI@f)Lro!p Fҥ4_ Fl#r5[p3Y-߰|.+Q˴Pv-ضd:Ƹv(f)ۻx#Iս*ܾy+v(wHn(_8w)WY 1y+} /wj4az3@m+i M B|2X Rxh)jFv2z/|nc<g@uNyR hvh /oB |w#b+3;<CKxc[|SK{ksook AAO  Ey0%A '  H y< v  (A rm.IR83'-!NUs8 75d"~be)W cL s|G|||Go| 3.+#j 8..h%?2e_e`  '+~g^♀'Al!J$")!•T:52*v! $R")!|Tʒ"5  ~e !Œ  ! 6  U !1 $x "Ə != n %~_!$2)!\Du%ځ~ҁ_!!ȋʁU!vX!4U!}vĈ!$0'}L!3i~߃ ݃& ۃj !ك ' $ _!B=!!zS#[#Y#8$$#_ %%%& r' E( ѫ%(Z((&(a)v3) *;:* d*U*H1+v+ P+ , X4,],-vӥ- -ۥ- .-..v#_/ /+/ /E/80vx/1 @O1z1 M112vL2(3'TY33144zy5r6jHgPAhh!h+ViNi}Fjv>=k~6k}.nl}&mm|;n|n|ioppk+qkveyw֗w̗xїxzxPx 6 y ySy py yy$nyzzyq{}!|}|}e}}}C ~~ۗ~w]DwUx}EуQ| DjUu,} ;όT*Wp)[1tœJw5 B*~}f}h}\͜~Mwb'wZ}RvJŠ}Dơ}E0q}W!}Ѧ}P@}gVGɫ6>IF~N)ɯi ~~~Bvnf)u^uV.˶WQ a w % $( t z  u  u ) o  kY  k  f x ف  .KR6j9_\rJmPz~IAvrj '+~cb)'P)'P'y^[!!AGn.6v\iրNnnaC|YhX  :"cv::Mat cv::findEssentialMat(cv::InputArray, cv::InputArray, cv::InputArray, int, double, double, cv::OutputArray)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/five-point.cppnpoints >= 0 && points2.checkVector(2) == npoints && points1.type() == points2.type()findEssentialMatcameraMatrix.rows == 3 && cameraMatrix.cols == 3 && cameraMatrix.channels() == 1cv::Mat cv::findEssentialMat(cv::InputArray, cv::InputArray, double, cv::Point2d, int, double, double, cv::OutputArray)int cv::recoverPose(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, double, cv::InputOutputArray, cv::OutputArray)recoverPosemask.size() == mask1.size()_R.needed() && _t.needed()void cv::decomposeEssentialMat(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray)E.cols == 3 && E.rows == 3decomposeEssentialMatallocator::allocate(size_t n) 'n' exceeds maximum supported sizeN2cv19EMEstimatorCallbackEN2cv19PointSetRegistrator8CallbackE    N2cv6detail12PtrOwnerImplINS_19EMEstimatorCallbackENS_14DefaultDeleterIS2_EEEEN2cv6detail8PtrOwnerE+XAj+Z @-t XAo6XApP2;XA`QYXQ XA  [A] ] 0]XA XA̚`$p$`.RaA`ZXAp^A`cXApacXAbb c'0c AH@daA| g!AzPLRx 4$W+oAC PzRx ,ZAC G4t GAC P4AC P4P;OAC P,XYAC J4| AC P,AC B$@AC $( AC 44AC P4lxl cAC P$LyAC $ty`.AC ,AC L4$POAC M,\ȲcAC B4cgAC M4c[AC M$AC $ AC $ȶ'AC B4tжAC G,AC I,X AC Gj=-j<-i<-iV-iF-qiV-hF-~hs-khhV-gF-igr-Ag!-g<- g=-gV-fF-}f=-rf<-AfI-"fs-feV-eF-he&-]er-dF-<<99G6$66211///+('%e" zt5   ' C/E1U'JYbNS  Po bM_1e7ɤC-lZ? “W/MՅ0}|{uNrKmljijhgeeba_{_]/]3YYVRtRP PVMKKJGG=GA==97433.300.|. *'&!rb  ! s.t_p'lSmYEnfLFnF +K7'fr"y͙gQvI}{9yyvrvltn0jiidd _^:XPPNNMII<Q818C0-,_,^'$=T$<-L$=-D$V-#F-#<-#V-W#F--#<-##V-"F-"<-"<-"<-~"<-d"V-"F-!V-q!F-J!V- F- V-L F-I-h-f-j-^l-5I-h-tf-lI-Th-f-I-h-f-K<->V-F-<-o+-cV-F-<-~V-F-<-<-+-V-!F-<-<-<-<-<-<-<-<-<-<-<-<-<-z<-r<-j<-b=-ZV-F-V-aF-:V-F-V-F-V-zF-SV-F-V-AF-V- F-z V- F- V-a F-: V- F- V-! 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B.p..Y/w2/{20w21~21~2E2~2C3~I43kQ4w4w44 * ` %   y Yu{ bs  k" H k  `@ 8 [9m1_) 9TQ!1?S"u ^iku ]s]ioo(4 fa)!TTCUTVTWTJsXTXT@YTcv::Mat cv::findHomography(cv::InputArray, cv::InputArray, int, double, cv::OutputArray, const int, const double)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/fundam.cppThe input arrays should be 2D or 3D point setsfindHomographysrc.checkVector(2) == dst.checkVector(2)Unknown estimation methodcv::Mat cv::findFundamentalMat(cv::InputArray, cv::InputArray, int, double, double, cv::OutputArray)findFundamentalMatm1.checkVector(2) == m2.checkVector(2)(mask.cols == 1 || mask.rows == 1) && (int)mask.total() == npointsvoid cv::computeCorrespondEpilines(cv::InputArray, int, cv::InputArray, cv::OutputArray)The input should be a 2D or 3D point setcomputeCorrespondEpilinesdepth == 5 || depth == 4 || depth == 6F.size() == Size(3,3)lines.isContinuous()void cv::convertPointsFromHomogeneous(cv::InputArray, 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A!~ !  !T } <6K  + <i`     !!w'!(Y"u'"'#')$'$'i%' &'&u'9'u''`'+~g^Q h    #  p~    I u  z8  ~I  ~A  ~9  }1 o o   l  H %/  ' % 'j b iZ  uR bJ 2 @  v0 H k8  ]@ ( t" " "  +Z"| ]l#kd t Y\l'Dzv_"vX{%b Z%'&xYub}e sv` { kh  Zp X k#H$     ]wY-v4 i, $   %; 1H e6@ ! b%e ]u3 /o+ u# L ! h yk [ U@  k8 f x  2y4^,'$zV_vzXH$     ]wY-v4 i, $   % 1( e6  nfa`%E =u o u ,  H Yk; U  k F x  2y4^,?? ??`}?the number of model points should be positiveRANSACUpdateNumIters/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/ptsetreg.cppint cv::estimateAffine3D(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, double, double)count >= 0 && to.checkVector(3) == countestimateAffine3Dcount >= 0 && to.checkVector(2) == countestimateAffine2DUnknown or unsupported robust estimation methodestimateAffinePartial2Drunconfidence > 0 && confidence < 1count >= 0 && count2 == count(bestMask.cols == 1 || bestMask.rows == 1) && (int)bestMask.total() == countmodel.rows % nmodels == 0count >= modelPoints && count == count2getSubset(esz1 % sizeof(int)) == 0 && (esz2 % sizeof(int)) == 0err.isContinuous() && err.type() == 5 && mask.isContinuous() && mask.type() == 0findInliers(mask.cols == 1 || mask.rows == 1) && (int)mask.total() == counterrf.isContinuous() && errf.type() == 5 && (int)errf.total() == countcount > 0computeErrorcount <= msi->rowscheckSubsetJ.isContinuous() && J.cols == 6computeJ.isContinuous() && J.cols == 4RQN2cv25RANSACPointSetRegistratorEN2cv19PointSetRegistratorEN2cv24LMeDSPointSetRegistratorEN2cv6detail12PtrOwnerImplINS_25RANSACPointSetRegistratorENS_14DefaultDeleterIS2_EEEEN2cv6detail8PtrOwnerEN2cv6detail12PtrOwnerImplINS_24LMeDSPointSetRegistratorENS_14DefaultDeleterIS2_EEEEN2cv25Affine3DEstimatorCallbackEN2cv19PointSetRegistrator8CallbackEN2cv6detail12PtrOwnerImplINS_25Affine3DEstimatorCallbackENS_14DefaultDeleterIS2_EEEEN2cv25Affine2DEstimatorCallbackEN2cv6detail12PtrOwnerImplINS_25Affine2DEstimatorCallbackENS_14DefaultDeleterIS2_EEEEN2cv22Affine2DRefineCallbackEN2cv8LMSolver8CallbackEN2cv6detail12PtrOwnerImplINS_22Affine2DRefineCallbackENS_14DefaultDeleterIS2_EEEEN2cv32AffinePartial2DEstimatorCallbackEN2cv6detail12PtrOwnerImplINS_32AffinePartial2DEstimatorCallbackENS_14DefaultDeleterIS2_EEEEN2cv29AffinePartial2DRefineCallbackEN2cv6detail12PtrOwnerImplINS_29AffinePartial2DRefineCallbackENS_14DefaultDeleterIS2_EEEEaA2XAl2XA2PXA2$XA48%XA90^ZAL=^bAd=__ _0_@_FA|=_(XA=0 XApA@aAPB@ZABbAB(XAB iXAF ' ' 0 @ XAG0H XAH AI ' % A4J0x XAJ+aAK '0< XAKp  XAL<AM ' 0 @ AMP` p'< XAN$ $% XAPO/<AdP 101 @1'zPLRx ,$AC I4Tx#AC M4AC J4 AC P4$AC P44x%AC P,lZAC B,bAC BzRx $8AC $D AC $lAC $AC ,FAC 4(AC P4` AC P,$8)7AC I,T-ZoAC B,8-bWAC B4x-(?AC P,$PUiAC I,YAC B$P[AC $8[ AC $ ['AC B$([AC $$[ AC $LZ'AC B$t[AC $Z AC 4Z AC P4hH cAC P4u#AC N$lx|AC $`| AC $H|'AC B$P|AC $ 8| AC 4 |%CAC N44x AC P,l`+[AC I$`AC $H AC $$0'AC B48< AC P$@ AC $(AC B4 #AC P,آ<AC B$<AC $dУ AC $'AC B$AC $ AC 4 /AC N$<hAC $dP AC $8'AC B4| @< AC P$H AC $ 0AC B4 ( WAC P,< <3AC B$ оAC $ AC $ 'AC B61-1-1-1-0-0-0-//-/-/-^/-4/-,/-"/-.-.-S.-'.-.-.- .-.---z--m--`--Q--D----,-,-',-,-+-****-*-z*s*5*-)-%)-(-x(-'-'-y'-'-&-E&-=&-&-%-S%-H%-%-$4-$4-$-$-$-$-c$-?$-#-#-#-#-#-B#-#-#-"-"-!-!-.!- -\ -----U----f-A-9-1----J------z---l----------_-6-----X-7----z-----s-L-------T-*------a-:---G-/ -# -   - - -, - -? 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$AD$KAL$CLH]HAUEt5A $ A$SAL$KAT$EE EԃH[A\A]A^A_]DUHAWAVAUATSHIIHLH)HHwCH HcHʰI}HAAM AECAMKAELcHsHLLHCL9bE1ELmfLILAtgI$HELDIJD+JD+ItJt+H}AIMuًEBD+EBD+MID$LmL9MЃID$IL9wHsIHLLHSHKIHsHMMHsMLkMgHHuLLLLAtXCAOKAGCAOKAGLL}LAt+HCHKHKHCLHAtHHKH HCH[A\A]A^A_]Ð8*hE@UHAWAVAUATSPIL'H_IM)IIEHH=ILM)LHHH9w]II9LBMMH}M9vGHH5HHHHH5HHH}MJ<H}NNAB ANBLNLL9HKL)Ht(HLҐCBCH[BHRHuHs KLHrBHfCBCCBCBCBCBCBCH[BHI9uHHILLOLGMtLH[A\A]A^A_]H[A\A]A^A_]E11 IHL????o@?-DT!@ A?BB rP/%4T , 0~=e!1 +& R!W m Q  g   15 Sq1j  bI/(~$jBblZiuR D7 H "~z- P x !x!!t%M"&"~#&#&"$&$u &Y%u%% %%n)'P)'J9W9bool cv::find4QuadCornerSubpix(cv::InputArray, cv::InputOutputArray, cv::Size)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/quadsubpix.cppncorners >= 0find4QuadCornerSubpixallocator::allocate(size_t n) 'n' exceeds maximum supported sizemin_idx >= 0findCornerQ&XA5`&JX''cXA8P).X.&X/Xp1X3XA8zPLRx 4$hQ&OAC PzRx ,xJAC J$LAC 4c?AC M,.AC M,&AC J, AC M,<hAC M4XsAC 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H&aZ^Q?YYI|Upx AA v/-3du% |B%`g Xs^<FBGk`., F t c0 % 4 @b e( % r1L k 7rii.ztRluiuuu 8^aaPc t ki{is1ct[blSuKyuC u;u3 +#p[!!AGn.6v\iրNnnaC|YhY  wlok%m]I4=>W<r4o,u$YgkU{s΂S ; "! $ $  <k 0 39 u {  Y  u  u  u  |#  _kkks845~}~^|)'???<~bool cv::solvePnP(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, bool, int)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/solvepnp.cpp( (npoints >= 4) || (npoints == 3 && flags == SOLVEPNP_ITERATIVE && useExtrinsicGuess) ) && npoints == std::max(ipoints.checkVector(2, 5), ipoints.checkVector(2, 6))solvePnP(rtype == 5 || rtype == 6) && (ttype == 5 || ttype == 6)(rsize == Size(1, 3) || rsize == Size(3, 1)) && (tsize == Size(1, 3) || tsize == Size(3, 1))npoints == 4The flags argument must be one of SOLVEPNP_ITERATIVE, SOLVEPNP_P3P, SOLVEPNP_EPNP or SOLVEPNP_DLSbool cv::solvePnPRansac(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, bool, int, float, double, cv::OutputArray, int)npoints >= 4 && npoints == std::max(ipoints.checkVector(2, 5), ipoints.checkVector(2, 6))solvePnPRansacopoints.isContinuous()opoints.depth() == 5 || opoints.depth() == 6(opoints.rows == 1 && opoints.channels() == 3) || opoints.cols*opoints.channels() == 3ipoints.isContinuous()ipoints.depth() == 5 || ipoints.depth() == 6(ipoints.rows == 1 && ipoints.channels() == 2) || ipoints.cols*ipoints.channels() == 2int cv::solveP3P(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays, int)npoints == 3 && npoints == std::max(ipoints.checkVector(2, 5), ipoints.checkVector(2, 6))solveP3Pflags == SOLVEPNP_P3P || flags == SOLVEPNP_AP3Pallocator::allocate(size_t n) 'n' exceeds maximum supported sizetraits::Type<_Tp>::value == type() && cols == 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C"+!/"C!a!~'"" "{#o#$ $+$ <$T$ e$$ $$ $$ $% &%>% O%%k|&&o&& && &r'k )'k)~(p)( #))(IA5Y~Q~I ~An9VVmo e{ `^1\HZw4.X V Ep ~|6??\ h |Bz|.> J j 6IAZJ"4 ,7 B@B{F8=2>31śdo/ N5%Z fN/%T `t<ޘ~!ܘGKSxژ!.[{6)֒gy_WOYnGǕ:  .yooo!ekҘ'8kVN   ^A>A$@?StereoMatcher.BMnameminDisparitynumDisparitiesblockSizespeckleWindowSizespeckleRangedisp12MaxDiffpreFilterTypepreFilterSizepreFilterCaptextureThresholduniquenessRatioNo element name has been givenoperator<</Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/persistence.hppn.isString() && String(n) == name_read/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/stereobm.cppvirtual void cv::StereoBMImpl::compute(cv::InputArray, cv::InputArray, cv::OutputArray)All the images must have the same sizecomputeBoth input images must have CV_8UC1Disparity image must have CV_16SC1 or CV_32FC1 formatpreFilterType must be = CV_STEREO_BM_NORMALIZED_RESPONSEpreFilterSize must be odd and be within 5..255preFilterCap must be within 1..63SADWindowSize must be odd, be within 5..255 and be not larger than image width or heightnumDisparities must be positive and divisble by 16texture threshold must be non-negativeuniqueness ratio must be non-negativeprefilter_norm-D WSZ=%dprefilter_xsobel-D DEFINE_KERNEL_STEREOBM -D MIN_DISP=%d -D NUM_DISP=%d -D BLOCK_SIZE_X=%d -D BLOCK_SIZE_Y=%d -D WSZ=%dstereoBM_disp.type() == 3 || _disp.type() == 4FindStereoCorrespInvokerndisp % 8 == 0findStereoCorrespondenceBM(N2cv12StereoBMImplEN2cv8StereoBMEN2cv13StereoMatcherEN2cv16PrefilterInvokerEN2cv24FindStereoCorrespInvokerEN2cv6detail12PtrOwnerImplINS_12StereoBMImplENS_14DefaultDeleterIS2_EEEEN2cv6detail8PtrOwnerE A  O A$pEaA,+)XA? ?  ? 0? @? 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Y.L.L"2.n *..". .-("-J -e-s"v- n- .,".N -k\-y"B- :-,", ,a-o"- ---"- -",0D",f ,] .!.:r'/)=i-p),),),),),*},:*u,[*m,|*e,*],*U,*M,+E,9+=,`+5,|+-,+%,+,+,+ ,, ,,&, ,,&- %- -&F- T-O-+z- --&- --&- --&. ..&6. D.?.&e. s.n.&. ..&. ..Z/ 2/ 2/2/{2/s2 0k2-0c2N0[2o0S20K20C20;2 13201+2W1#2s12121 212111668#~`x%yM @ Xo uU yE D z ( m u u u'  o @k kvk /kl0D XP66  W U r  %o (  yu  u  > z  k Y u   ('+~g^@B @B?@@ @Some of parameters is a NULL pointercvTriangulatePoints/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/calib3d/src/triangulate.cppInput parameters must be matricesNumber of points must be more than zeroNumber of points must be the sameNumber of proj points coordinates must be == 2Number of world points coordinates must be == 4Size of projection matrices must be 3x4cvCorrectMatchesThe fundamental matrix must be a 3x3 matrixThe fundamental matrix must be a single-channel matrixThe point-matrices must have one row, and an equal number of columnsThe first set of points must contain two channels; one for x and one for yThe second set of points must contain two channels; one for x and one for y(((new_points1) != __null && (((const CvMat*)(new_points1))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(new_points1))->cols > 0 && ((const CvMat*)(new_points1))->rows > 0) && ((const CvMat*)(new_points1))->data.ptr != __null)The first output matrix must have the same dimensions as the input matricesThe first output matrix must have two channels; one for x and one for y(((new_points2) != __null && (((const CvMat*)(new_points2))->type & 0xFFFF0000) == 0x42420000 && ((const CvMat*)(new_points2))->cols > 0 && ((const CvMat*)(new_points2))->rows > 0) && ((const CvMat*)(new_points2))->data.ptr != __null)The second output matrix must have the same dimensions as the input matricesThe second output matrix must have two channels; one for x and one for yvoid cv::triangulatePoints(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray)void cv::correctMatches(cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray)_w.data == (uchar*)&w.val[0] && _u.data == (uchar*)&u.val[0] && 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1548786845 501 20 100644 8052 ` opencl_kernels_calib3d.cpp.o 8((__text__TEXT__cstring__TEXT__data__DATA($ (( Pcalib3dstereobm#define MAX_VAL 32767 #ifndef WSZ #define WSZ 2 #endif #define WSZ2 (WSZ / 2) #ifdef DEFINE_KERNEL_STEREOBM #define DISPARITY_SHIFT 4 #define FILTERED ((MIN_DISP - 1) << DISPARITY_SHIFT) void calcDisp(__local short * cost, __global short * disp, int uniquenessRatio, __local int * bestDisp, __local int * bestCost, int d, int x, int y, int cols, int rows) { int best_disp = *bestDisp, best_cost = *bestCost; barrier(CLK_LOCAL_MEM_FENCE); short c = cost[0]; int thresh = best_cost + (best_cost * uniquenessRatio / 100); bool notUniq = ( (c <= thresh) && (d < (best_disp - 1) || d > (best_disp + 1) ) ); if (notUniq) *bestCost = FILTERED; barrier(CLK_LOCAL_MEM_FENCE); if( *bestCost != FILTERED && x < cols - WSZ2 - MIN_DISP && y < rows - WSZ2 && d == best_disp) { int d_aprox = 0; int yp =0, yn = 0; if ((0 < best_disp) && (best_disp < NUM_DISP - 1)) { yp = cost[-2 * BLOCK_SIZE_Y]; yn = cost[2 * BLOCK_SIZE_Y]; d_aprox = yp + yn - 2 * c + abs(yp - yn); } disp[0] = (short)(((best_disp + MIN_DISP)*256 + (d_aprox != 0 ? (yp - yn) * 256 / d_aprox : 0) + 15) >> 4); } } short calcCostBorder(__global const uchar * leftptr, __global const uchar * rightptr, int x, int y, int nthread, short * costbuf, int *h, int cols, int d, short cost) { int head = (*h) % WSZ; __global const uchar * left, * right; int idx = mad24(y + WSZ2 * (2 * nthread - 1), cols, x + WSZ2 * (1 - 2 * nthread)); left = leftptr + idx; right = rightptr + (idx - d); short costdiff = 0; if (0 == nthread) { #pragma unroll for (int i = 0; i < WSZ; i++) { costdiff += abs( left[0] - right[0] ); left += cols; right += cols; } } else { #pragma unroll for (int i = 0; i < WSZ; i++) { costdiff += abs(left[i] - right[i]); } } cost += costdiff - costbuf[head]; costbuf[head] = costdiff; *h = head + 1; return cost; } short calcCostInside(__global const uchar * leftptr, __global const uchar * rightptr, int x, int y, int cols, int d, short cost_up_left, short cost_up, short cost_left) { __global const uchar * left, * right; int idx = mad24(y - WSZ2 - 1, cols, x - WSZ2 - 1); left = leftptr + idx; right = rightptr + (idx - d); int idx2 = WSZ*cols; uchar corrner1 = abs(left[0] - right[0]), corrner2 = abs(left[WSZ] - right[WSZ]), corrner3 = abs(left[idx2] - right[idx2]), corrner4 = abs(left[idx2 + WSZ] - right[idx2 + WSZ]); return cost_up + cost_left - cost_up_left + corrner1 - corrner2 - corrner3 + corrner4; } __kernel void stereoBM(__global const uchar * leftptr, __global const uchar * rightptr, __global uchar * dispptr, int disp_step, int disp_offset, int rows, int cols, int textureTreshold, int uniquenessRatio) { int lz = get_local_id(0); int gx = get_global_id(1) * BLOCK_SIZE_X; int gy = get_global_id(2) * BLOCK_SIZE_Y; int nthread = lz / NUM_DISP; int disp_idx = lz % NUM_DISP; __global short * disp; __global const uchar * left, * right; __local short costFunc[2 * BLOCK_SIZE_Y * NUM_DISP]; __local short * cost; __local int best_disp[2]; __local int best_cost[2]; best_cost[nthread] = MAX_VAL; best_disp[nthread] = -1; barrier(CLK_LOCAL_MEM_FENCE); short costbuf[WSZ]; int head = 0; int shiftX = WSZ2 + NUM_DISP + MIN_DISP - 1; int shiftY = WSZ2; int x = gx + shiftX, y = gy + shiftY, lx = 0, ly = 0; int costIdx = disp_idx * 2 * BLOCK_SIZE_Y + (BLOCK_SIZE_Y - 1); cost = costFunc + costIdx; int tempcost = 0; if (x < cols - WSZ2 - MIN_DISP && y < rows - WSZ2) { if (0 == nthread) { #pragma unroll for (int i = 0; i < WSZ; i++) { int idx = mad24(y - WSZ2, cols, x - WSZ2 + i); left = leftptr + idx; right = rightptr + (idx - disp_idx); short costdiff = 0; for(int j = 0; j < WSZ; j++) { costdiff += abs( left[0] - right[0] ); left += cols; right += cols; } costbuf[i] = costdiff; } } else { #pragma unroll for (int i = 0; i < WSZ; i++) { int idx = mad24(y - WSZ2 + i, cols, x - WSZ2); left = leftptr + idx; right = rightptr + (idx - disp_idx); short costdiff = 0; for (int j = 0; j < WSZ; j++) { costdiff += abs( left[j] - right[j]); } tempcost += costdiff; costbuf[i] = costdiff; } } } if (nthread == 1) { cost[0] = tempcost; atomic_min(best_cost + 1, tempcost); } barrier(CLK_LOCAL_MEM_FENCE); if (best_cost[1] == tempcost) atomic_max(best_disp + 1, disp_idx); barrier(CLK_LOCAL_MEM_FENCE); int dispIdx = mad24(gy, disp_step, mad24((int)sizeof(short), gx, disp_offset)); disp = (__global short *)(dispptr + dispIdx); calcDisp(cost, disp, uniquenessRatio, best_disp + 1, best_cost + 1, disp_idx, x, y, cols, rows); barrier(CLK_LOCAL_MEM_FENCE); lx = 1 - nthread; ly = nthread; for (int i = 0; i < BLOCK_SIZE_Y * BLOCK_SIZE_X / 2; i++) { x = (lx < BLOCK_SIZE_X) ? gx + shiftX + lx : cols; y = (ly < BLOCK_SIZE_Y) ? gy + shiftY + ly : rows; best_cost[nthread] = MAX_VAL; best_disp[nthread] = -1; barrier(CLK_LOCAL_MEM_FENCE); costIdx = mad24(2 * BLOCK_SIZE_Y, disp_idx, (BLOCK_SIZE_Y - 1 - ly + lx)); if (0 > costIdx) costIdx = BLOCK_SIZE_Y - 1; cost = costFunc + costIdx; if (x < cols - WSZ2 - MIN_DISP && y < rows - WSZ2) { tempcost = (ly * (1 - nthread) + lx * nthread == 0) ? calcCostBorder(leftptr, rightptr, x, y, nthread, costbuf, &head, cols, disp_idx, cost[2*nthread-1]) : calcCostInside(leftptr, rightptr, x, y, cols, disp_idx, cost[0], cost[1], cost[-1]); } cost[0] = tempcost; atomic_min(best_cost + nthread, tempcost); barrier(CLK_LOCAL_MEM_FENCE); if (best_cost[nthread] == tempcost) atomic_max(best_disp + nthread, disp_idx); barrier(CLK_LOCAL_MEM_FENCE); dispIdx = mad24(gy + ly, disp_step, mad24((int)sizeof(short), (gx + lx), disp_offset)); disp = (__global short *)(dispptr + dispIdx); calcDisp(cost, disp, uniquenessRatio, best_disp + nthread, best_cost + nthread, disp_idx, x, y, cols, rows); barrier(CLK_LOCAL_MEM_FENCE); if (lx + nthread - 1 == ly) { lx = (lx + nthread + 1) * (1 - nthread); ly = (ly + 1) * nthread; } else { lx += nthread; ly = ly - nthread + 1; } } } #endif __kernel void prefilter_norm(__global unsigned char *input, __global unsigned char *output, int rows, int cols, int prefilterCap, int scale_g, int scale_s) { int x = get_global_id(0); int y = get_global_id(1); if(x < cols && y < rows) { int cov1 = input[ max(y-1, 0) * cols + x] * 1 + input[y * cols + max(x-1,0)] * 1 + input[ y * cols + x] * 4 + input[y * cols + min(x+1, cols-1)] * 1 + input[min(y+1, rows-1) * cols + x] * 1; int cov2 = 0; for(int i = -WSZ2; i < WSZ2+1; i++) for(int j = -WSZ2; j < WSZ2+1; j++) cov2 += input[clamp(y+i, 0, rows-1) * cols + clamp(x+j, 0, cols-1)]; int res = (cov1*scale_g - cov2*scale_s)>>10; res = clamp(res, -prefilterCap, prefilterCap) + prefilterCap; output[y * cols + x] = res; } } __kernel void prefilter_xsobel(__global unsigned char *input, __global unsigned char *output, int rows, int cols, int prefilterCap) { int x = get_global_id(0); int y = get_global_id(1); if(x < cols && y < rows) { if (0 < x && !((y == rows-1) & (rows%2==1) ) ) { int cov = input[ ((y > 0) ? y-1 : y+1) * cols + (x-1)] * (-1) + input[ ((y > 0) ? y-1 : y+1) * cols + ((x