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Add on optional parameter to the matx invert function to know if this operation is successfull without having to analyse the matrix (it may fail in case of bad preconditioning or inappropriate decomposition method)

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Philippe FOUBERT 2013-11-28 00:42:19 +01:00
parent 41ae5d5f66
commit 735f704b3e
2 changed files with 3 additions and 2 deletions
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2
modules/core/include/opencv2/core/matx.hpp
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@ -154,7 +154,7 @@ public:
Matx<_Tp, n, m> t() const;
//! invert matrix the matrix
Matx<_Tp, n, m> inv(int method=DECOMP_LU) const;
Matx<_Tp, n, m> inv(int method=DECOMP_LU, bool *p_is_ok = NULL) const;
//! solve linear system
template<int l> Matx<_Tp, n, l> solve(const Matx<_Tp, m, l>& rhs, int flags=DECOMP_LU) const;

3
modules/core/include/opencv2/core/operations.hpp
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@ -186,7 +186,7 @@ Matx<_Tp,m,n> Matx<_Tp,m,n>::randn(_Tp a, _Tp b)
}
template<typename _Tp, int m, int n> inline
Matx<_Tp, n, m> Matx<_Tp, m, n>::inv(int method) const
Matx<_Tp, n, m> Matx<_Tp, m, n>::inv(int method, bool *p_is_ok /*= NULL*/) const
{
Matx<_Tp, n, m> b;
bool ok;
@ -197,6 +197,7 @@ Matx<_Tp, n, m> Matx<_Tp, m, n>::inv(int method) const
Mat A(*this, false), B(b, false);
ok = (invert(A, B, method) != 0);
}
if( NULL != p_is_ok ) { *p_is_ok = ok; }
return ok ? b : Matx<_Tp, n, m>::zeros();
}