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