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// Targeted by JavaCPP version 1.5.3: DO NOT EDIT THIS FILE

package org.bytedeco.opencv.opencv_video;

import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;

import static org.bytedeco.javacpp.presets.javacpp.*;
import static org.bytedeco.openblas.global.openblas_nolapack.*;
import static org.bytedeco.openblas.global.openblas.*;
import org.bytedeco.opencv.opencv_core.*;
import static org.bytedeco.opencv.global.opencv_core.*;
import org.bytedeco.opencv.opencv_imgproc.*;
import static org.bytedeco.opencv.global.opencv_imgproc.*;
import static org.bytedeco.opencv.global.opencv_imgcodecs.*;
import org.bytedeco.opencv.opencv_videoio.*;
import static org.bytedeco.opencv.global.opencv_videoio.*;
import org.bytedeco.opencv.opencv_highgui.*;
import static org.bytedeco.opencv.global.opencv_highgui.*;
import org.bytedeco.opencv.opencv_flann.*;
import static org.bytedeco.opencv.global.opencv_flann.*;
import org.bytedeco.opencv.opencv_features2d.*;
import static org.bytedeco.opencv.global.opencv_features2d.*;
import org.bytedeco.opencv.opencv_calib3d.*;
import static org.bytedeco.opencv.global.opencv_calib3d.*;

import static org.bytedeco.opencv.global.opencv_video.*;


/** \brief Variational optical flow refinement

This class implements variational refinement of the input flow field, i.e. it uses input flow to initialize the minimization of the following functional: {@code E(U) = \int_{\Omega} \delta \Psi(E_I) + \gamma \Psi(E_G) + \alpha \Psi(E_S) }, where {@code E_I,E_G,E_S} are color constancy, gradient constancy and smoothness terms respectively. {@code \Psi(s^2)=\sqrt{s^2+\epsilon^2}} is a robust penalizer to limit the influence of outliers. A complete formulation and a description of the minimization procedure can be found in \cite Brox2004 */ @Namespace("cv") @Properties(inherit = org.bytedeco.opencv.presets.opencv_video.class) public class VariationalRefinement extends DenseOpticalFlow { static { Loader.load(); } /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */ public VariationalRefinement(Pointer p) { super(p); } /** \brief \ref calc function overload to handle separate horizontal (u) and vertical (v) flow components (to avoid extra splits/merges) */ public native void calcUV(@ByVal Mat I0, @ByVal Mat I1, @ByVal Mat flow_u, @ByVal Mat flow_v); public native void calcUV(@ByVal UMat I0, @ByVal UMat I1, @ByVal UMat flow_u, @ByVal UMat flow_v); public native void calcUV(@ByVal GpuMat I0, @ByVal GpuMat I1, @ByVal GpuMat flow_u, @ByVal GpuMat flow_v); /** \brief Number of outer (fixed-point) iterations in the minimization procedure. @see setFixedPointIterations */ public native int getFixedPointIterations(); /** \copybrief getFixedPointIterations @see getFixedPointIterations */ public native void setFixedPointIterations(int val); /** \brief Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system. @see setSorIterations */ public native int getSorIterations(); /** \copybrief getSorIterations @see getSorIterations */ public native void setSorIterations(int val); /** \brief Relaxation factor in SOR @see setOmega */ public native float getOmega(); /** \copybrief getOmega @see getOmega */ public native void setOmega(float val); /** \brief Weight of the smoothness term @see setAlpha */ public native float getAlpha(); /** \copybrief getAlpha @see getAlpha */ public native void setAlpha(float val); /** \brief Weight of the color constancy term @see setDelta */ public native float getDelta(); /** \copybrief getDelta @see getDelta */ public native void setDelta(float val); /** \brief Weight of the gradient constancy term @see setGamma */ public native float getGamma(); /** \copybrief getGamma @see getGamma */ public native void setGamma(float val); /** \brief Creates an instance of VariationalRefinement */ public static native @Ptr VariationalRefinement create(); }





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