org.bytedeco.javacpp

Class opencv_core.Algorithm

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_core.Algorithm

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

opencv_calib3d.StereoMatcher, opencv_core.MinProblemSolver, opencv_face.FaceRecognizer, opencv_features2d.DescriptorMatcher, opencv_features2d.Feature2D, opencv_imgproc.CLAHE, opencv_imgproc.GeneralizedHough, opencv_imgproc.LineSegmentDetector, opencv_ml.AbstractStatModel, opencv_ml.SVM.Kernel, opencv_objdetect.BaseCascadeClassifier, opencv_photo.AlignExposures, opencv_photo.CalibrateCRF, opencv_photo.MergeExposures, opencv_photo.Tonemap, opencv_shape.HistogramCostExtractor, opencv_shape.ShapeDistanceExtractor, opencv_shape.ShapeTransformer, opencv_superres.DenseOpticalFlowExt, opencv_superres.SuperResolution, opencv_video.BackgroundSubtractor, opencv_video.DenseOpticalFlow, opencv_ximgproc.AdaptiveManifoldFilter, opencv_ximgproc.DisparityFilter, opencv_ximgproc.DTFilter, opencv_ximgproc.FastGlobalSmootherFilter, opencv_ximgproc.GraphSegmentation, opencv_ximgproc.GuidedFilter, opencv_ximgproc.RFFeatureGetter, opencv_ximgproc.SparseMatchInterpolator, opencv_ximgproc.StructuredEdgeDetection, opencv_ximgproc.SuperpixelLSC, opencv_ximgproc.SuperpixelSEEDS, opencv_ximgproc.SuperpixelSLIC

Enclosing class:

opencv_core

@Namespace(value="cv")
public static class opencv_core.Algorithm
extends Pointer

\brief This is a base class for all more or less complex algorithms in OpenCV

especially for classes of algorithms, for which there can be multiple implementations. The examples are stereo correspondence (for which there are algorithms like block matching, semi-global block matching, graph-cut etc.), background subtraction (which can be done using mixture-of-gaussians models, codebook-based algorithm etc.), optical flow (block matching, Lucas-Kanade, Horn-Schunck etc.).

Here is example of SIFT use in your application via Algorithm interface:

#include "opencv2/opencv.hpp"
    #include "opencv2/xfeatures2d.hpp"
    using namespace cv::xfeatures2d;

    Ptr<Feature2D> sift = SIFT::create();
    FileStorage fs("sift_params.xml", FileStorage::READ);
    if( fs.isOpened() ) // if we have file with parameters, read them
    {
        sift->read(fs["sift_params"]);
        fs.release();
    }
    else // else modify the parameters and store them; user can later edit the file to use different parameters
    {
        sift->setContrastThreshold(0.01f); // lower the contrast threshold, compared to the default value
        {
            WriteStructContext ws(fs, "sift_params", CV_NODE_MAP);
            sift->write(fs);
        }
    }
    Mat image = imread("myimage.png", 0), descriptors;
    vector<KeyPoint> keypoints;
    sift->detectAndCompute(image, noArray(), keypoints, descriptors);

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_core.Algorithm()
opencv_core.Algorithm(long size) Native array allocator.
opencv_core.Algorithm(Pointer p) Pointer cast constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	clear() \brief Clears the algorithm state
boolean	empty() \brief Returns true if the Algorithm is empty (e.g.
BytePointer	getDefaultName() Returns the algorithm string identifier.
opencv_core.Algorithm	position(long position)
void	read(opencv_core.FileNode fn) \brief Reads algorithm parameters from a file storage
void	save(BytePointer filename) Saves the algorithm to a file.
void	save(String filename)
void	write(opencv_core.FileStorage fs) \brief Stores algorithm parameters in a file storage

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

opencv_core.Algorithm

public opencv_core.Algorithm(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

opencv_core.Algorithm

public opencv_core.Algorithm(long size)

Native array allocator. Access with Pointer.position(long).

opencv_core.Algorithm

public opencv_core.Algorithm()

Method Detail

position

public opencv_core.Algorithm position(long position)

Overrides:

position in class Pointer

clear

public void clear()

\brief Clears the algorithm state

write

public void write(@ByRef
         opencv_core.FileStorage fs)

\brief Stores algorithm parameters in a file storage

read

public void read(@Const@ByRef
        opencv_core.FileNode fn)

\brief Reads algorithm parameters from a file storage

empty

@Cast(value="bool")
public boolean empty()

\brief Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

save

public void save(@opencv_core.Str
        BytePointer filename)

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

save

public void save(@opencv_core.Str
        String filename)

getDefaultName

@opencv_core.Str
public BytePointer getDefaultName()

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.