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// Targeted by JavaCPP version 1.5.2: DO NOT EDIT THIS FILE

package org.bytedeco.opencv.opencv_features2d;

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

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 static org.bytedeco.opencv.global.opencv_features2d.*;


/** \brief Class implementing the AKAZE keypoint detector and descriptor extractor, described in \cite ANB13.

\details AKAZE descriptors can only be used with KAZE or AKAZE keypoints. This class is thread-safe.

\note When you need descriptors use Feature2D::detectAndCompute, which provides better performance. When using Feature2D::detect followed by Feature2D::compute scale space pyramid is computed twice.

\note AKAZE implements T-API. When image is passed as UMat some parts of the algorithm will use OpenCL.

\note [ANB13] Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces. Pablo F. Alcantarilla, Jesús Nuevo and Adrien Bartoli. In British Machine Vision Conference (BMVC), Bristol, UK, September 2013.

*/ @Namespace("cv") @Properties(inherit = org.bytedeco.opencv.presets.opencv_features2d.class) public class AKAZE extends Feature2D { static { Loader.load(); } /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */ public AKAZE(Pointer p) { super(p); } // AKAZE descriptor type /** enum cv::AKAZE::DescriptorType */ public static final int /** Upright descriptors, not invariant to rotation */ DESCRIPTOR_KAZE_UPRIGHT = 2, DESCRIPTOR_KAZE = 3, /** Upright descriptors, not invariant to rotation */ DESCRIPTOR_MLDB_UPRIGHT = 4, DESCRIPTOR_MLDB = 5; /** \brief The AKAZE constructor

@param descriptor_type Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT. @param descriptor_size Size of the descriptor in bits. 0 -\> Full size @param descriptor_channels Number of channels in the descriptor (1, 2, 3) @param threshold Detector response threshold to accept point @param nOctaves Maximum octave evolution of the image @param nOctaveLayers Default number of sublevels per scale level @param diffusivity Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER */ public static native @Ptr AKAZE create(@Cast("cv::AKAZE::DescriptorType") int descriptor_type/*=cv::AKAZE::DESCRIPTOR_MLDB*/, int descriptor_size/*=0*/, int descriptor_channels/*=3*/, float threshold/*=0.001f*/, int nOctaves/*=4*/, int nOctaveLayers/*=4*/, @Cast("cv::KAZE::DiffusivityType") int diffusivity/*=cv::KAZE::DIFF_PM_G2*/); public static native @Ptr AKAZE create(); public native void setDescriptorType(@Cast("cv::AKAZE::DescriptorType") int dtype); public native @Cast("cv::AKAZE::DescriptorType") int getDescriptorType(); public native void setDescriptorSize(int dsize); public native int getDescriptorSize(); public native void setDescriptorChannels(int dch); public native int getDescriptorChannels(); public native void setThreshold(double threshold); public native double getThreshold(); public native void setNOctaves(int octaves); public native int getNOctaves(); public native void setNOctaveLayers(int octaveLayers); public native int getNOctaveLayers(); public native void setDiffusivity(@Cast("cv::KAZE::DiffusivityType") int diff); public native @Cast("cv::KAZE::DiffusivityType") int getDiffusivity(); public native @Str @Override BytePointer getDefaultName(); }





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