//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDMatch;
import org.opencv.utils.Converters;
import java.util.ArrayList;
import java.util.List;
// C++: class DescriptorMatcher
/**
* 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.
*/
public class DescriptorMatcher extends Algorithm {
protected DescriptorMatcher(long addr) { super(addr); }
// internal usage only
public static DescriptorMatcher __fromPtr__(long addr) { return new DescriptorMatcher(addr); }
// C++: enum MatcherType (cv.DescriptorMatcher.MatcherType)
public static final int
FLANNBASED = 1,
BRUTEFORCE = 2,
BRUTEFORCE_L1 = 3,
BRUTEFORCE_HAMMING = 4,
BRUTEFORCE_HAMMINGLUT = 5,
BRUTEFORCE_SL2 = 6;
//
// C++: void cv::DescriptorMatcher::add(vector_Mat descriptors)
//
/**
* Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor
* collection.
*
* If the collection is not empty, the new descriptors are added to existing train descriptors.
*
* @param descriptors Descriptors to add. Each descriptors[i] is a set of descriptors from the same
* train image.
*/
public void add(List<Mat> descriptors) {
Mat descriptors_mat = Converters.vector_Mat_to_Mat(descriptors);
add_0(nativeObj, descriptors_mat.nativeObj);
}
//
// C++: vector_Mat cv::DescriptorMatcher::getTrainDescriptors()
//
/**
* Returns a constant link to the train descriptor collection trainDescCollection .
* @return automatically generated
*/
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++: void cv::DescriptorMatcher::clear()
//
/**
* Clears the train descriptor collections.
*/
public void clear() {
clear_0(nativeObj);
}
//
// C++: bool cv::DescriptorMatcher::empty()
//
/**
* Returns true if there are no train descriptors in the both collections.
* @return automatically generated
*/
public boolean empty() {
return empty_0(nativeObj);
}
//
// C++: bool cv::DescriptorMatcher::isMaskSupported()
//
/**
* Returns true if the descriptor matcher supports masking permissible matches.
* @return automatically generated
*/
public boolean isMaskSupported() {
return isMaskSupported_0(nativeObj);
}
//
// C++: void cv::DescriptorMatcher::train()
//
/**
* Trains a descriptor matcher
*
* Trains a descriptor matcher (for example, the flann index). In all methods to match, the method
* train() is run every time before matching. Some descriptor matchers (for example, BruteForceMatcher)
* have an empty implementation of this method. Other matchers really train their inner structures (for
* example, FlannBasedMatcher trains flann::Index ).
*/
public void train() {
train_0(nativeObj);
}
//
// C++: void cv::DescriptorMatcher::match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat())
//
/**
* Finds the best match for each descriptor from a query set.
*
* @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 mask , no match is added for this
* descriptor. So, matches size may be smaller than the query descriptors count.
* @param mask Mask specifying permissible matches between an input query and train matrices of
* descriptors.
*
* 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 DescriptorMatcher::add is
* used. Optional mask (or masks) can be passed to specify which query and training descriptors can be
* matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if
* mask.at<uchar>(i,j) is non-zero.
*/
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);
}
/**
* Finds the best match for each descriptor from a query set.
*
* @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 mask , no match is added for this
* descriptor. So, matches size may be smaller than the query descriptors count.
* descriptors.
*
* 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 DescriptorMatcher::add is
* used. Optional mask (or masks) can be passed to specify which query and training descriptors can be
* matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if
* mask.at<uchar>(i,j) is non-zero.
*/
public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches) {
Mat matches_mat = matches;
match_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj);
}
//
// C++: void cv::DescriptorMatcher::knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false)
//
/**
* Finds the k best matches for each descriptor from a query set.
*
* @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 mask Mask specifying permissible matches between an input query and train matrices of
* descriptors.
* @param matches Matches. Each matches[i] 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 compactResult Parameter used when the mask (or masks) is not empty. If compactResult is
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*
* 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.
*/
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);
matches_mat.release();
}
/**
* Finds the k best matches for each descriptor from a query set.
*
* @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 mask Mask specifying permissible matches between an input query and train matrices of
* descriptors.
* @param matches Matches. Each matches[i] 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.
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*
* 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.
*/
public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k, Mat mask) {
Mat matches_mat = new Mat();
knnMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k, mask.nativeObj);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
/**
* Finds the k best matches for each descriptor from a query set.
*
* @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.
* descriptors.
* @param matches Matches. Each matches[i] 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.
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*
* 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.
*/
public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k) {
Mat matches_mat = new Mat();
knnMatch_2(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
//
// C++: void cv::DescriptorMatcher::radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false)
//
/**
* For each query descriptor, finds the training descriptors not farther than the specified distance.
*
* @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 compactResult Parameter used when the mask (or masks) is not empty. If compactResult is
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
* @param maxDistance Threshold for the distance between matched descriptors. Distance means here
* metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured
* in Pixels)!
* @param mask Mask specifying permissible matches between an input query and train matrices of
* descriptors.
*
* 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 maxDistance. Found matches are
* returned in the distance increasing order.
*/
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);
matches_mat.release();
}
/**
* For each query descriptor, finds the training descriptors not farther than the specified distance.
*
* @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.
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
* @param maxDistance Threshold for the distance between matched descriptors. Distance means here
* metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured
* in Pixels)!
* @param mask Mask specifying permissible matches between an input query and train matrices of
* descriptors.
*
* 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 maxDistance. Found matches are
* returned in the distance increasing order.
*/
public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance, Mat mask) {
Mat matches_mat = new Mat();
radiusMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, mask.nativeObj);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
/**
* For each query descriptor, finds the training descriptors not farther than the specified distance.
*
* @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.
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
* @param maxDistance Threshold for the distance between matched descriptors. Distance means here
* metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured
* in Pixels)!
* descriptors.
*
* 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 maxDistance. Found matches are
* returned in the distance increasing order.
*/
public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance) {
Mat matches_mat = new Mat();
radiusMatch_2(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
//
// C++: void cv::DescriptorMatcher::match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector_Mat())
//
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Matches. If a query descriptor is masked out in mask , no match is added for this
* descriptor. So, matches size may be smaller than the query descriptors count.
* @param masks Set of masks. Each masks[i] specifies permissible matches between the input query
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
*/
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);
}
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Matches. If a query descriptor is masked out in mask , no match is added for this
* descriptor. So, matches size may be smaller than the query descriptors count.
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
*/
public void match(Mat queryDescriptors, MatOfDMatch matches) {
Mat matches_mat = matches;
match_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj);
}
//
// C++: void cv::DescriptorMatcher::knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector_Mat(), bool compactResult = false)
//
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Matches. Each matches[i] 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 masks[i] specifies permissible matches between the input query
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
* @param compactResult Parameter used when the mask (or masks) is not empty. If compactResult is
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*/
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_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k, masks_mat.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Matches. Each matches[i] 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 masks[i] specifies permissible matches between the input query
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*/
public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks) {
Mat matches_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
knnMatch_4(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Matches. Each matches[i] 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.
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*/
public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k) {
Mat matches_mat = new Mat();
knnMatch_5(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
//
// C++: void cv::DescriptorMatcher::radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector_Mat(), bool compactResult = false)
//
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Found matches.
* @param maxDistance Threshold for the distance between matched descriptors. Distance means here
* metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured
* in Pixels)!
* @param masks Set of masks. Each masks[i] specifies permissible matches between the input query
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
* @param compactResult Parameter used when the mask (or masks) is not empty. If compactResult is
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*/
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_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Found matches.
* @param maxDistance Threshold for the distance between matched descriptors. Distance means here
* metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured
* in Pixels)!
* @param masks Set of masks. Each masks[i] specifies permissible matches between the input query
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*/
public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks) {
Mat matches_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
radiusMatch_4(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
/**
*
* @param queryDescriptors Query set of descriptors.
* @param matches Found matches.
* @param maxDistance Threshold for the distance between matched descriptors. Distance means here
* metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured
* in Pixels)!
* descriptors and stored train descriptors from the i-th image trainDescCollection[i].
* false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
* the matches vector does not contain matches for fully masked-out query descriptors.
*/
public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance) {
Mat matches_mat = new Mat();
radiusMatch_5(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
}
//
// C++: void cv::DescriptorMatcher::write(String fileName)
//
public void write(String fileName) {
write_0(nativeObj, fileName);
}
//
// C++: void cv::DescriptorMatcher::read(String fileName)
//
public void read(String fileName) {
read_0(nativeObj, fileName);
}
//
// C++: void cv::DescriptorMatcher::read(FileNode arg1)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: Ptr_DescriptorMatcher cv::DescriptorMatcher::clone(bool emptyTrainData = false)
//
/**
* Clones the matcher.
*
* @param emptyTrainData If emptyTrainData is false, the method creates a deep copy of the object,
* that is, copies both parameters and train data. If emptyTrainData is true, the method creates an
* object copy with the current parameters but with empty train data.
* @return automatically generated
*/
public DescriptorMatcher clone(boolean emptyTrainData) {
return DescriptorMatcher.__fromPtr__(clone_0(nativeObj, emptyTrainData));
}
/**
* Clones the matcher.
*
* that is, copies both parameters and train data. If emptyTrainData is true, the method creates an
* object copy with the current parameters but with empty train data.
* @return automatically generated
*/
public DescriptorMatcher clone() {
return DescriptorMatcher.__fromPtr__(clone_1(nativeObj));
}
//
// C++: static Ptr_DescriptorMatcher cv::DescriptorMatcher::create(String descriptorMatcherType)
//
/**
* Creates a descriptor matcher of a given type with the default parameters (using default
* constructor).
*
* @param descriptorMatcherType Descriptor matcher type. Now the following matcher types are
* supported:
* <ul>
* <li>
* {@code BruteForce} (it uses L2 )
* </li>
* <li>
* {@code BruteForce-L1}
* </li>
* <li>
* {@code BruteForce-Hamming}
* </li>
* <li>
* {@code BruteForce-Hamming(2)}
* </li>
* <li>
* {@code FlannBased}
* </li>
* </ul>
* @return automatically generated
*/
public static DescriptorMatcher create(String descriptorMatcherType) {
return DescriptorMatcher.__fromPtr__(create_0(descriptorMatcherType));
}
//
// C++: static Ptr_DescriptorMatcher cv::DescriptorMatcher::create(DescriptorMatcher_MatcherType matcherType)
//
public static DescriptorMatcher create(int matcherType) {
return DescriptorMatcher.__fromPtr__(create_1(matcherType));
}
//
// C++: void cv::DescriptorMatcher::write(FileStorage fs, String name)
//
// Unknown type 'FileStorage' (I), skipping the function
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: void cv::DescriptorMatcher::add(vector_Mat descriptors)
private static native void add_0(long nativeObj, long descriptors_mat_nativeObj);
// C++: vector_Mat cv::DescriptorMatcher::getTrainDescriptors()
private static native long getTrainDescriptors_0(long nativeObj);
// C++: void cv::DescriptorMatcher::clear()
private static native void clear_0(long nativeObj);
// C++: bool cv::DescriptorMatcher::empty()
private static native boolean empty_0(long nativeObj);
// C++: bool cv::DescriptorMatcher::isMaskSupported()
private static native boolean isMaskSupported_0(long nativeObj);
// C++: void cv::DescriptorMatcher::train()
private static native void train_0(long nativeObj);
// C++: void cv::DescriptorMatcher::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 cv::DescriptorMatcher::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, long mask_nativeObj);
private static native void knnMatch_2(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k);
// C++: void cv::DescriptorMatcher::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, long mask_nativeObj);
private static native void radiusMatch_2(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance);
// C++: void cv::DescriptorMatcher::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 cv::DescriptorMatcher::knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector_Mat(), bool compactResult = false)
private static native void knnMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k, long masks_mat_nativeObj, boolean compactResult);
private static native void knnMatch_4(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k, long masks_mat_nativeObj);
private static native void knnMatch_5(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k);
// C++: void cv::DescriptorMatcher::radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector_Mat(), bool compactResult = false)
private static native void radiusMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long masks_mat_nativeObj, boolean compactResult);
private static native void radiusMatch_4(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long masks_mat_nativeObj);
private static native void radiusMatch_5(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance);
// C++: void cv::DescriptorMatcher::write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// C++: void cv::DescriptorMatcher::read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: Ptr_DescriptorMatcher cv::DescriptorMatcher::clone(bool emptyTrainData = false)
private static native long clone_0(long nativeObj, boolean emptyTrainData);
private static native long clone_1(long nativeObj);
// C++: static Ptr_DescriptorMatcher cv::DescriptorMatcher::create(String descriptorMatcherType)
private static native long create_0(String descriptorMatcherType);
// C++: static Ptr_DescriptorMatcher cv::DescriptorMatcher::create(DescriptorMatcher_MatcherType matcherType)
private static native long create_1(int matcherType);
// native support for java finalize()
private static native void delete(long nativeObj);
}
