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Merge pull request #11904 from terfendail/matx_solve_fix
Fixed Matx::solve function for non-square matrixes (#11904)
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@ -61,7 +61,16 @@ namespace cv
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namespace internal
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namespace internal
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{
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{
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template<typename _Tp, int m> struct Matx_FastInvOp
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template<typename _Tp, int m, int n> struct Matx_FastInvOp
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{
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bool operator()(const Matx<_Tp, m, n>&, Matx<_Tp, n, m>&, int) const
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{
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CV_Assert(false);
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return false;
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}
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};
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template<typename _Tp, int m> struct Matx_FastInvOp<_Tp, m, m>
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{
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{
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bool operator()(const Matx<_Tp, m, m>& a, Matx<_Tp, m, m>& b, int method) const
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bool operator()(const Matx<_Tp, m, m>& a, Matx<_Tp, m, m>& b, int method) const
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{
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{
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@ -78,7 +87,7 @@ template<typename _Tp, int m> struct Matx_FastInvOp
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}
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}
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};
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};
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template<typename _Tp> struct Matx_FastInvOp<_Tp, 2>
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template<typename _Tp> struct Matx_FastInvOp<_Tp, 2, 2>
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{
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{
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bool operator()(const Matx<_Tp, 2, 2>& a, Matx<_Tp, 2, 2>& b, int) const
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bool operator()(const Matx<_Tp, 2, 2>& a, Matx<_Tp, 2, 2>& b, int) const
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{
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{
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@ -94,7 +103,7 @@ template<typename _Tp> struct Matx_FastInvOp<_Tp, 2>
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}
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}
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};
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};
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template<typename _Tp> struct Matx_FastInvOp<_Tp, 3>
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template<typename _Tp> struct Matx_FastInvOp<_Tp, 3, 3>
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{
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{
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bool operator()(const Matx<_Tp, 3, 3>& a, Matx<_Tp, 3, 3>& b, int) const
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bool operator()(const Matx<_Tp, 3, 3>& a, Matx<_Tp, 3, 3>& b, int) const
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{
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{
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@ -118,7 +127,17 @@ template<typename _Tp> struct Matx_FastInvOp<_Tp, 3>
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};
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};
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template<typename _Tp, int m, int n> struct Matx_FastSolveOp
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template<typename _Tp, int m, int l, int n> struct Matx_FastSolveOp
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{
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bool operator()(const Matx<_Tp, m, l>&, const Matx<_Tp, m, n>&,
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Matx<_Tp, l, n>&, int) const
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{
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CV_Assert(false);
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return false;
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}
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};
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template<typename _Tp, int m, int n> struct Matx_FastSolveOp<_Tp, m, m, n>
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{
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{
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bool operator()(const Matx<_Tp, m, m>& a, const Matx<_Tp, m, n>& b,
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bool operator()(const Matx<_Tp, m, m>& a, const Matx<_Tp, m, n>& b,
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Matx<_Tp, m, n>& x, int method) const
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Matx<_Tp, m, n>& x, int method) const
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@ -132,7 +151,7 @@ template<typename _Tp, int m, int n> struct Matx_FastSolveOp
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}
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}
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};
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};
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template<typename _Tp> struct Matx_FastSolveOp<_Tp, 2, 1>
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template<typename _Tp> struct Matx_FastSolveOp<_Tp, 2, 2, 1>
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{
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{
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bool operator()(const Matx<_Tp, 2, 2>& a, const Matx<_Tp, 2, 1>& b,
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bool operator()(const Matx<_Tp, 2, 2>& a, const Matx<_Tp, 2, 1>& b,
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Matx<_Tp, 2, 1>& x, int) const
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Matx<_Tp, 2, 1>& x, int) const
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@ -147,7 +166,7 @@ template<typename _Tp> struct Matx_FastSolveOp<_Tp, 2, 1>
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}
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}
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};
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};
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template<typename _Tp> struct Matx_FastSolveOp<_Tp, 3, 1>
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template<typename _Tp> struct Matx_FastSolveOp<_Tp, 3, 3, 1>
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{
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{
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bool operator()(const Matx<_Tp, 3, 3>& a, const Matx<_Tp, 3, 1>& b,
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bool operator()(const Matx<_Tp, 3, 3>& a, const Matx<_Tp, 3, 1>& b,
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Matx<_Tp, 3, 1>& x, int) const
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Matx<_Tp, 3, 1>& x, int) const
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@ -195,7 +214,7 @@ Matx<_Tp, n, m> Matx<_Tp, m, n>::inv(int method, bool *p_is_ok /*= NULL*/) const
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Matx<_Tp, n, m> b;
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Matx<_Tp, n, m> b;
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bool ok;
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bool ok;
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if( m == n && (method == DECOMP_LU || method == DECOMP_CHOLESKY) )
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if( m == n && (method == DECOMP_LU || method == DECOMP_CHOLESKY) )
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ok = cv::internal::Matx_FastInvOp<_Tp, m>()(*reinterpret_cast<const Matx<_Tp, m, m>*>(this), reinterpret_cast<Matx<_Tp, m, m>&>(b), method);
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ok = cv::internal::Matx_FastInvOp<_Tp, m, n>()(*this, b, method);
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else
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else
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{
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{
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Mat A(*this, false), B(b, false);
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Mat A(*this, false), B(b, false);
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@ -210,8 +229,8 @@ Matx<_Tp, n, l> Matx<_Tp, m, n>::solve(const Matx<_Tp, m, l>& rhs, int method) c
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{
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{
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Matx<_Tp, n, l> x;
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Matx<_Tp, n, l> x;
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bool ok;
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bool ok;
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if( method == DECOMP_LU || method == DECOMP_CHOLESKY )
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if( m == n && (method == DECOMP_LU || method == DECOMP_CHOLESKY) )
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ok = cv::internal::Matx_FastSolveOp<_Tp, m, l>()(*this, rhs, x, method);
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ok = cv::internal::Matx_FastSolveOp<_Tp, m, n, l>()(*this, rhs, x, method);
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else
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else
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{
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{
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Mat A(*this, false), B(rhs, false), X(x, false);
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Mat A(*this, false), B(rhs, false), X(x, false);
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@ -3129,6 +3129,21 @@ TEST(Core_QR_Solver, accuracy64f)
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ASSERT_FALSE(solve(A, B, solutionQR, DECOMP_QR));
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ASSERT_FALSE(solve(A, B, solutionQR, DECOMP_QR));
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}
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}
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TEST(Core_Solve, regression_11888)
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{
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cv::Matx<float, 3, 2> A(
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2, 1,
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3, 1,
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6, 1
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);
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cv::Vec<float, 3> b(4, 5, 7);
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cv::Matx<float, 2, 1> xQR = A.solve(b, DECOMP_QR);
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cv::Matx<float, 2, 1> xSVD = A.solve(b, DECOMP_SVD);
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EXPECT_LE(cvtest::norm(xQR, xSVD, CV_RELATIVE_L2), FLT_EPSILON);
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cv::Matx<float, 2, 3> iA = A.inv(DECOMP_SVD);
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EXPECT_LE(cvtest::norm(A*iA, Matx<float, 3, 3>::eye(), CV_RELATIVE_L2), 0.6);
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}
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softdouble naiveExp(softdouble x)
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softdouble naiveExp(softdouble x)
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{
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{
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int exponent = x.getExp();
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int exponent = x.getExp();
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