Deprecated List
Member aruco::MarkerDetector::getCornerRefinementMethod () const
Member aruco::MarkerDetector::getDesiredSpeed () const
Member aruco::MarkerDetector::getMinMaxSize (float &min, float &max)
use setParams() and getParams() reads the min and max sizes employed
Member aruco::MarkerDetector::getThresholdParams (double &param1, double &param2) const
use setParams() and getParams() Set the parameters of the threshold method We are currently using the Adptive threshold ee opencv doc of adaptiveThreshold for more info param1: blockSize of the pixel neighborhood that is used to calculate a threshold value for the pixel param2: The constant subtracted from the mean or weighted mean
Member aruco::MarkerDetector::getWarpSize () const
use setParams() and getParams()
Member aruco::MarkerDetector::setCornerRefinementMethod (CornerRefinementMethod method, int val=-1)
use setParams() and getParams() Sets the method for corner refinement When using SUBPIX, the second value indicates the window size in which search is done. Default value is 5
Member aruco::MarkerDetector::setDesiredSpeed (int val)
Is now null
Member aruco::MarkerDetector::setMinMaxSize (float min=0.03, float max=0.5)
use setParams() and getParams() Specifies the min and max sizes of the markers as a fraction of the image size. By size we mean the maximum of cols and rows.
Member aruco::MarkerDetector::setThresholdMethod (ThresholdMethods m)
use setParams() and getParams() Sets the threshold method
Member aruco::MarkerDetector::setThresholdParamRange (size_t r1=0, size_t r2=0)
use setParams() and getParams() Allows for a parallel search of several values of the param1 simultaneously (in different threads) The param r1 the indicates how many values around the current value of param1 are evaluated. In other words if r1>0, param1 is searched in range [param1- r1 ,param1+ r1 ]
Member aruco::MarkerDetector::setThresholdParams (double param1, double param2)
use setParams() and getParams() Set the parameters of the threshold method We are currently using the Adptive threshold ee opencv doc of adaptiveThreshold for more info
Member aruco::MarkerDetector::setWarpSize (int val)
use setParams() and getParams() Specifies the size for the canonical marker image. A big value makes the detection slower than a small value. Minimun value is 10. Default value is 56.
Member Eigen::AlignedBox< _Scalar, _AmbientDim >::isNull () const
use isEmpty
Member Eigen::AlignedBox< _Scalar, _AmbientDim >::setNull ()
use setEmpty
Member Eigen::AlignedScaling2d
Member Eigen::AlignedScaling2f
Member Eigen::AlignedScaling3d
Member Eigen::AlignedScaling3f
Member Eigen::Cwise< ExpressionType >::max (const MatrixBase< OtherDerived > &other) const
ArrayBase::max()
Member Eigen::Cwise< ExpressionType >::min (const MatrixBase< OtherDerived > &other) const
ArrayBase::min()
Member Eigen::Cwise< ExpressionType >::operator- (const Scalar &scalar) const
ArrayBase::operator-(Scalar)
Member Eigen::Cwise< ExpressionType >::operator-= (const Scalar &scalar)
ArrayBase::operator-=(Scalar)
Member Eigen::Cwise< ExpressionType >::operator/= (const MatrixBase< OtherDerived > &other)
ArrayBase::operator/=()
Member Eigen::EIGEN_CWISE_UNOP_RETURN_TYPE (internal::scalar_sqrt_op) Cwise< ExpressionType >

ArrayBase::sqrt()

ArrayBase::cos()

ArrayBase::sin()

ArrayBase::log()

ArrayBase::inverse()

ArrayBase::square()

ArrayBase::cube()

ArrayBase::operator<()

ArrayBase::<=()

ArrayBase::operator>()

ArrayBase::operator>=()

ArrayBase::operator==()

ArrayBase::operator!=()

ArrayBase::operator<(Scalar)

ArrayBase::operator<=(Scalar)

ArrayBase::operator>(Scalar)

ArrayBase::operator>=(Scalar)

ArrayBase::operator==(Scalar)

ArrayBase::operator!=(Scalar)

ArrayBase::operator+(Scalar)

ArrayBase::operator+=(Scalar)

ArrayBase::cos()

ArrayBase::sin()

ArrayBase::log()

ArrayBase::inverse()

ArrayBase::square()

ArrayBase::cube()

ArrayBase::operator<()

ArrayBase::<=()

ArrayBase::operator>()

ArrayBase::operator>=()

ArrayBase::operator==()

ArrayBase::operator!=()

ArrayBase::operator<(Scalar)

ArrayBase::operator<=(Scalar)

ArrayBase::operator>(Scalar)

ArrayBase::operator>=(Scalar)

ArrayBase::operator==(Scalar)

ArrayBase::operator!=(Scalar)

ArrayBase::operator+(Scalar)

ArrayBase::operator+=(Scalar)

Member Eigen::EIGEN_CWISE_UNOP_RETURN_TYPE (internal::scalar_abs_op) Cwise< ExpressionType >

ArrayBase::abs()

ArrayBase::abs2()

ArrayBase::exp()

ArrayBase::log()

ArrayBase::operator*()

ArrayBase::operator/()

ArrayBase::operator*=()

ArrayBase::abs2()

ArrayBase::exp()

ArrayBase::log()

ArrayBase::operator*()

ArrayBase::operator/()

ArrayBase::operator*=()

Member Eigen::ParametrizedLine< _Scalar, _AmbientDim >::intersection (const Hyperplane< _Scalar, _AmbientDim, OtherOptions > &hyperplane) const
use intersectionParameter()
Class Eigen::SimplicialCholesky< _MatrixType, _UpLo >

use SimplicialLDLT or class SimplicialLLT



tuw_aruco
Author(s): Lukas Pfeifhofer
autogenerated on Mon Jun 10 2019 15:41:03