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// // This file is auto-generated. Please don't modify it! ///*from www . jav a2s. c o m*/ package org.opencv.features2d; import java.lang.String; import java.util.ArrayList; import java.util.List; import org.opencv.core.Mat; import org.opencv.core.MatOfDMatch; import org.opencv.utils.Converters; // C++: class javaDescriptorMatcher /** * <p>Abstract base class for matching keypoint descriptors. It has two groups of * match methods: for matching descriptors of an image with another image or * with an image set.</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher">org.opencv.features2d.DescriptorMatcher : public Algorithm</a> */ public class DescriptorMatcher { protected final long nativeObj; protected DescriptorMatcher(long addr) { nativeObj = addr; } public static final int FLANNBASED = 1, BRUTEFORCE = 2, BRUTEFORCE_L1 = 3, BRUTEFORCE_HAMMING = 4, BRUTEFORCE_HAMMINGLUT = 5, BRUTEFORCE_SL2 = 6; // // C++: void javaDescriptorMatcher::add(vector_Mat descriptors) // /** * <p>Adds descriptors to train a descriptor collection. If the collection * <code>trainDescCollectionis</code> is not empty, the new descriptors are * added to existing train descriptors.</p> * * @param descriptors Descriptors to add. Each <code>descriptors[i]</code> is a * set of descriptors from the same train image. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-add">org.opencv.features2d.DescriptorMatcher.add</a> */ public void add(List<Mat> descriptors) { Mat descriptors_mat = Converters.vector_Mat_to_Mat(descriptors); add_0(nativeObj, descriptors_mat.nativeObj); return; } // // C++: void javaDescriptorMatcher::clear() // /** * <p>Clears the train descriptor collection.</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-clear">org.opencv.features2d.DescriptorMatcher.clear</a> */ public void clear() { clear_0(nativeObj); return; } // // C++: javaDescriptorMatcher* javaDescriptorMatcher::jclone(bool emptyTrainData = false) // public DescriptorMatcher clone(boolean emptyTrainData) { DescriptorMatcher retVal = new DescriptorMatcher(clone_0(nativeObj, emptyTrainData)); return retVal; } public DescriptorMatcher clone() { DescriptorMatcher retVal = new DescriptorMatcher(clone_1(nativeObj)); return retVal; } // // C++: static javaDescriptorMatcher* javaDescriptorMatcher::create(int matcherType) // /** * <p>Creates a descriptor matcher of a given type with the default parameters * (using default constructor).</p> * * @param matcherType a matcherType * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-create">org.opencv.features2d.DescriptorMatcher.create</a> */ public static DescriptorMatcher create(int matcherType) { DescriptorMatcher retVal = new DescriptorMatcher(create_0(matcherType)); return retVal; } // // C++: bool javaDescriptorMatcher::empty() // /** * <p>Returns true if there are no train descriptors in the collection.</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-empty">org.opencv.features2d.DescriptorMatcher.empty</a> */ public boolean empty() { boolean retVal = empty_0(nativeObj); return retVal; } // // C++: vector_Mat javaDescriptorMatcher::getTrainDescriptors() // /** * <p>Returns a constant link to the train descriptor collection <code>trainDescCollection</code>.</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-gettraindescriptors">org.opencv.features2d.DescriptorMatcher.getTrainDescriptors</a> */ public List<Mat> getTrainDescriptors() { List<Mat> retVal = new ArrayList<Mat>(); Mat retValMat = new Mat(getTrainDescriptors_0(nativeObj)); Converters.Mat_to_vector_Mat(retValMat, retVal); return retVal; } // // C++: bool javaDescriptorMatcher::isMaskSupported() // /** * <p>Returns true if the descriptor matcher supports masking permissible matches.</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-ismasksupported">org.opencv.features2d.DescriptorMatcher.isMaskSupported</a> */ public boolean isMaskSupported() { boolean retVal = isMaskSupported_0(nativeObj); return retVal; } // // C++: void javaDescriptorMatcher::knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false) // /** * <p>Finds the k best matches for each descriptor from a query set.</p> * * <p>These extended variants of "DescriptorMatcher.match" methods find several * best matches for each query descriptor. The matches are returned in the * distance increasing order. See "DescriptorMatcher.match" for the details * about query and train descriptors.</p> * * @param queryDescriptors Query set of descriptors. * @param trainDescriptors Train set of descriptors. This set is not added to * the train descriptors collection stored in the class object. * @param matches Matches. Each <code>matches[i]</code> is k or less matches for * the same query descriptor. * @param k Count of best matches found per each query descriptor or less if a * query descriptor has less than k possible matches in total. * @param mask Mask specifying permissible matches between an input query and * train matrices of descriptors. * @param compactResult Parameter used when the mask (or masks) is not empty. If * <code>compactResult</code> is false, the <code>matches</code> vector has the * same size as <code>queryDescriptors</code> rows. If <code>compactResult</code> * is true, the <code>matches</code> vector does not contain matches for fully * masked-out query descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-knnmatch">org.opencv.features2d.DescriptorMatcher.knnMatch</a> */ public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k, Mat mask, boolean compactResult) { Mat matches_mat = new Mat(); knnMatch_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k, mask.nativeObj, compactResult); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } /** * <p>Finds the k best matches for each descriptor from a query set.</p> * * <p>These extended variants of "DescriptorMatcher.match" methods find several * best matches for each query descriptor. The matches are returned in the * distance increasing order. See "DescriptorMatcher.match" for the details * about query and train descriptors.</p> * * @param queryDescriptors Query set of descriptors. * @param trainDescriptors Train set of descriptors. This set is not added to * the train descriptors collection stored in the class object. * @param matches Matches. Each <code>matches[i]</code> is k or less matches for * the same query descriptor. * @param k Count of best matches found per each query descriptor or less if a * query descriptor has less than k possible matches in total. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-knnmatch">org.opencv.features2d.DescriptorMatcher.knnMatch</a> */ public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k) { Mat matches_mat = new Mat(); knnMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } // // C++: void javaDescriptorMatcher::knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector<Mat>(), bool compactResult = false) // /** * <p>Finds the k best matches for each descriptor from a query set.</p> * * <p>These extended variants of "DescriptorMatcher.match" methods find several * best matches for each query descriptor. The matches are returned in the * distance increasing order. See "DescriptorMatcher.match" for the details * about query and train descriptors.</p> * * @param queryDescriptors Query set of descriptors. * @param matches Matches. Each <code>matches[i]</code> is k or less matches for * the same query descriptor. * @param k Count of best matches found per each query descriptor or less if a * query descriptor has less than k possible matches in total. * @param masks Set of masks. Each <code>masks[i]</code> specifies permissible * matches between the input query descriptors and stored train descriptors from * the i-th image <code>trainDescCollection[i]</code>. * @param compactResult Parameter used when the mask (or masks) is not empty. If * <code>compactResult</code> is false, the <code>matches</code> vector has the * same size as <code>queryDescriptors</code> rows. If <code>compactResult</code> * is true, the <code>matches</code> vector does not contain matches for fully * masked-out query descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-knnmatch">org.opencv.features2d.DescriptorMatcher.knnMatch</a> */ public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks, boolean compactResult) { Mat matches_mat = new Mat(); Mat masks_mat = Converters.vector_Mat_to_Mat(masks); knnMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k, masks_mat.nativeObj, compactResult); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } /** * <p>Finds the k best matches for each descriptor from a query set.</p> * * <p>These extended variants of "DescriptorMatcher.match" methods find several * best matches for each query descriptor. The matches are returned in the * distance increasing order. See "DescriptorMatcher.match" for the details * about query and train descriptors.</p> * * @param queryDescriptors Query set of descriptors. * @param matches Matches. Each <code>matches[i]</code> is k or less matches for * the same query descriptor. * @param k Count of best matches found per each query descriptor or less if a * query descriptor has less than k possible matches in total. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-knnmatch">org.opencv.features2d.DescriptorMatcher.knnMatch</a> */ public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k) { Mat matches_mat = new Mat(); knnMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } // // C++: void javaDescriptorMatcher::match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat()) // /** * <p>Finds the best match for each descriptor from a query set.</p> * * <p>In the first variant of this method, the train descriptors are passed as an * input argument. In the second variant of the method, train descriptors * collection that was set by <code>DescriptorMatcher.add</code> is used. * Optional mask (or masks) can be passed to specify which query and training * descriptors can be matched. Namely, <code>queryDescriptors[i]</code> can be * matched with <code>trainDescriptors[j]</code> only if <code>mask.at<uchar>(i,j)</code> * is non-zero.</p> * * @param queryDescriptors Query set of descriptors. * @param trainDescriptors Train set of descriptors. This set is not added to * the train descriptors collection stored in the class object. * @param matches Matches. If a query descriptor is masked out in * <code>mask</code>, no match is added for this descriptor. So, * <code>matches</code> size may be smaller than the query descriptors count. * @param mask Mask specifying permissible matches between an input query and * train matrices of descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-match">org.opencv.features2d.DescriptorMatcher.match</a> */ public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches, Mat mask) { Mat matches_mat = matches; match_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, mask.nativeObj); return; } /** * <p>Finds the best match for each descriptor from a query set.</p> * * <p>In the first variant of this method, the train descriptors are passed as an * input argument. In the second variant of the method, train descriptors * collection that was set by <code>DescriptorMatcher.add</code> is used. * Optional mask (or masks) can be passed to specify which query and training * descriptors can be matched. Namely, <code>queryDescriptors[i]</code> can be * matched with <code>trainDescriptors[j]</code> only if <code>mask.at<uchar>(i,j)</code> * is non-zero.</p> * * @param queryDescriptors Query set of descriptors. * @param trainDescriptors Train set of descriptors. This set is not added to * the train descriptors collection stored in the class object. * @param matches Matches. If a query descriptor is masked out in * <code>mask</code>, no match is added for this descriptor. So, * <code>matches</code> size may be smaller than the query descriptors count. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-match">org.opencv.features2d.DescriptorMatcher.match</a> */ public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches) { Mat matches_mat = matches; match_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj); return; } // // C++: void javaDescriptorMatcher::match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector<Mat>()) // /** * <p>Finds the best match for each descriptor from a query set.</p> * * <p>In the first variant of this method, the train descriptors are passed as an * input argument. In the second variant of the method, train descriptors * collection that was set by <code>DescriptorMatcher.add</code> is used. * Optional mask (or masks) can be passed to specify which query and training * descriptors can be matched. Namely, <code>queryDescriptors[i]</code> can be * matched with <code>trainDescriptors[j]</code> only if <code>mask.at<uchar>(i,j)</code> * is non-zero.</p> * * @param queryDescriptors Query set of descriptors. * @param matches Matches. If a query descriptor is masked out in * <code>mask</code>, no match is added for this descriptor. So, * <code>matches</code> size may be smaller than the query descriptors count. * @param masks Set of masks. Each <code>masks[i]</code> specifies permissible * matches between the input query descriptors and stored train descriptors from * the i-th image <code>trainDescCollection[i]</code>. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-match">org.opencv.features2d.DescriptorMatcher.match</a> */ public void match(Mat queryDescriptors, MatOfDMatch matches, List<Mat> masks) { Mat matches_mat = matches; Mat masks_mat = Converters.vector_Mat_to_Mat(masks); match_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, masks_mat.nativeObj); return; } /** * <p>Finds the best match for each descriptor from a query set.</p> * * <p>In the first variant of this method, the train descriptors are passed as an * input argument. In the second variant of the method, train descriptors * collection that was set by <code>DescriptorMatcher.add</code> is used. * Optional mask (or masks) can be passed to specify which query and training * descriptors can be matched. Namely, <code>queryDescriptors[i]</code> can be * matched with <code>trainDescriptors[j]</code> only if <code>mask.at<uchar>(i,j)</code> * is non-zero.</p> * * @param queryDescriptors Query set of descriptors. * @param matches Matches. If a query descriptor is masked out in * <code>mask</code>, no match is added for this descriptor. So, * <code>matches</code> size may be smaller than the query descriptors count. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-match">org.opencv.features2d.DescriptorMatcher.match</a> */ public void match(Mat queryDescriptors, MatOfDMatch matches) { Mat matches_mat = matches; match_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj); return; } // // C++: void javaDescriptorMatcher::radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false) // /** * <p>For each query descriptor, finds the training descriptors not farther than * the specified distance.</p> * * <p>For each query descriptor, the methods find such training descriptors that * the distance between the query descriptor and the training descriptor is * equal or smaller than <code>maxDistance</code>. Found matches are returned in * the distance increasing order.</p> * * @param queryDescriptors Query set of descriptors. * @param trainDescriptors Train set of descriptors. This set is not added to * the train descriptors collection stored in the class object. * @param matches Found matches. * @param maxDistance Threshold for the distance between matched descriptors. * @param mask Mask specifying permissible matches between an input query and * train matrices of descriptors. * @param compactResult Parameter used when the mask (or masks) is not empty. If * <code>compactResult</code> is false, the <code>matches</code> vector has the * same size as <code>queryDescriptors</code> rows. If <code>compactResult</code> * is true, the <code>matches</code> vector does not contain matches for fully * masked-out query descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-radiusmatch">org.opencv.features2d.DescriptorMatcher.radiusMatch</a> */ public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance, Mat mask, boolean compactResult) { Mat matches_mat = new Mat(); radiusMatch_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, mask.nativeObj, compactResult); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } /** * <p>For each query descriptor, finds the training descriptors not farther than * the specified distance.</p> * * <p>For each query descriptor, the methods find such training descriptors that * the distance between the query descriptor and the training descriptor is * equal or smaller than <code>maxDistance</code>. Found matches are returned in * the distance increasing order.</p> * * @param queryDescriptors Query set of descriptors. * @param trainDescriptors Train set of descriptors. This set is not added to * the train descriptors collection stored in the class object. * @param matches Found matches. * @param maxDistance Threshold for the distance between matched descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-radiusmatch">org.opencv.features2d.DescriptorMatcher.radiusMatch</a> */ public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance) { Mat matches_mat = new Mat(); radiusMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } // // C++: void javaDescriptorMatcher::radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector<Mat>(), bool compactResult = false) // /** * <p>For each query descriptor, finds the training descriptors not farther than * the specified distance.</p> * * <p>For each query descriptor, the methods find such training descriptors that * the distance between the query descriptor and the training descriptor is * equal or smaller than <code>maxDistance</code>. Found matches are returned in * the distance increasing order.</p> * * @param queryDescriptors Query set of descriptors. * @param matches Found matches. * @param maxDistance Threshold for the distance between matched descriptors. * @param masks Set of masks. Each <code>masks[i]</code> specifies permissible * matches between the input query descriptors and stored train descriptors from * the i-th image <code>trainDescCollection[i]</code>. * @param compactResult Parameter used when the mask (or masks) is not empty. If * <code>compactResult</code> is false, the <code>matches</code> vector has the * same size as <code>queryDescriptors</code> rows. If <code>compactResult</code> * is true, the <code>matches</code> vector does not contain matches for fully * masked-out query descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-radiusmatch">org.opencv.features2d.DescriptorMatcher.radiusMatch</a> */ public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks, boolean compactResult) { Mat matches_mat = new Mat(); Mat masks_mat = Converters.vector_Mat_to_Mat(masks); radiusMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj, compactResult); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } /** * <p>For each query descriptor, finds the training descriptors not farther than * the specified distance.</p> * * <p>For each query descriptor, the methods find such training descriptors that * the distance between the query descriptor and the training descriptor is * equal or smaller than <code>maxDistance</code>. Found matches are returned in * the distance increasing order.</p> * * @param queryDescriptors Query set of descriptors. * @param matches Found matches. * @param maxDistance Threshold for the distance between matched descriptors. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-radiusmatch">org.opencv.features2d.DescriptorMatcher.radiusMatch</a> */ public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance) { Mat matches_mat = new Mat(); radiusMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance); Converters.Mat_to_vector_vector_DMatch(matches_mat, matches); return; } // // C++: void javaDescriptorMatcher::read(string fileName) // public void read(String fileName) { read_0(nativeObj, fileName); return; } // // C++: void javaDescriptorMatcher::train() // /** * <p>Trains a descriptor matcher</p> * * <p>Trains a descriptor matcher (for example, the flann index). In all methods to * match, the method <code>train()</code> is run every time before matching. * Some descriptor matchers (for example, <code>BruteForceMatcher</code>) have * an empty implementation of this method. Other matchers really train their * inner structures (for example, <code>FlannBasedMatcher</code> trains * <code>flann.Index</code>).</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher-train">org.opencv.features2d.DescriptorMatcher.train</a> */ public void train() { train_0(nativeObj); return; } // // C++: void javaDescriptorMatcher::write(string fileName) // public void write(String fileName) { write_0(nativeObj, fileName); return; } @Override protected void finalize() throws Throwable { delete(nativeObj); } // // native stuff // static { System.loadLibrary("opencv_java"); } // C++: void javaDescriptorMatcher::add(vector_Mat descriptors) private static native void add_0(long nativeObj, long descriptors_mat_nativeObj); // C++: void javaDescriptorMatcher::clear() private static native void clear_0(long nativeObj); // C++: javaDescriptorMatcher* javaDescriptorMatcher::jclone(bool emptyTrainData = false) private static native long clone_0(long nativeObj, boolean emptyTrainData); private static native long clone_1(long nativeObj); // C++: static javaDescriptorMatcher* javaDescriptorMatcher::create(int matcherType) private static native long create_0(int matcherType); // C++: bool javaDescriptorMatcher::empty() private static native boolean empty_0(long nativeObj); // C++: vector_Mat javaDescriptorMatcher::getTrainDescriptors() private static native long getTrainDescriptors_0(long nativeObj); // C++: bool javaDescriptorMatcher::isMaskSupported() private static native boolean isMaskSupported_0(long nativeObj); // C++: void javaDescriptorMatcher::knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false) private static native void knnMatch_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k, long mask_nativeObj, boolean compactResult); private static native void knnMatch_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k); // C++: void javaDescriptorMatcher::knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector<Mat>(), bool compactResult = false) private static native void knnMatch_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k, long masks_mat_nativeObj, boolean compactResult); private static native void knnMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k); // C++: void javaDescriptorMatcher::match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat()) private static native void match_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, long mask_nativeObj); private static native void match_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj); // C++: void javaDescriptorMatcher::match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector<Mat>()) private static native void match_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, long masks_mat_nativeObj); private static native void match_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj); // C++: void javaDescriptorMatcher::radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false) private static native void radiusMatch_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long mask_nativeObj, boolean compactResult); private static native void radiusMatch_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance); // C++: void javaDescriptorMatcher::radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector<Mat>(), bool compactResult = false) private static native void radiusMatch_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long masks_mat_nativeObj, boolean compactResult); private static native void radiusMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance); // C++: void javaDescriptorMatcher::read(string fileName) private static native void read_0(long nativeObj, String fileName); // C++: void javaDescriptorMatcher::train() private static native void train_0(long nativeObj); // C++: void javaDescriptorMatcher::write(string fileName) private static native void write_0(long nativeObj, String fileName); // native support for java finalize() private static native void delete(long nativeObj); }