//
// 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.MatOfKeyPoint;
import org.opencv.utils.Converters;
import java.util.ArrayList;
import java.util.List;
// C++: class Feature2D
/**
* Abstract base class for 2D image feature detectors and descriptor extractors
*/
public class Feature2D extends Algorithm {
protected Feature2D(long addr) { super(addr); }
// internal usage only
public static Feature2D __fromPtr__(long addr) { return new Feature2D(addr); }
//
// C++: void cv::Feature2D::detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
//
/**
* Detects keypoints in an image (first variant) or image set (second variant).
*
* @param image Image.
* @param keypoints The detected keypoints. In the second variant of the method keypoints[i] is a set
* of keypoints detected in images[i] .
* @param mask Mask specifying where to look for keypoints (optional). It must be a 8-bit integer
* matrix with non-zero values in the region of interest.
*/
public void detect(Mat image, MatOfKeyPoint keypoints, Mat mask) {
Mat keypoints_mat = keypoints;
detect_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, mask.nativeObj);
}
/**
* Detects keypoints in an image (first variant) or image set (second variant).
*
* @param image Image.
* @param keypoints The detected keypoints. In the second variant of the method keypoints[i] is a set
* of keypoints detected in images[i] .
* matrix with non-zero values in the region of interest.
*/
public void detect(Mat image, MatOfKeyPoint keypoints) {
Mat keypoints_mat = keypoints;
detect_1(nativeObj, image.nativeObj, keypoints_mat.nativeObj);
}
//
// C++: void cv::Feature2D::detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector_Mat())
//
/**
*
* @param images Image set.
* @param keypoints The detected keypoints. In the second variant of the method keypoints[i] is a set
* of keypoints detected in images[i] .
* @param masks Masks for each input image specifying where to look for keypoints (optional).
* masks[i] is a mask for images[i].
*/
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks) {
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
}
/**
*
* @param images Image set.
* @param keypoints The detected keypoints. In the second variant of the method keypoints[i] is a set
* of keypoints detected in images[i] .
* masks[i] is a mask for images[i].
*/
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints) {
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
detect_3(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
}
//
// C++: void cv::Feature2D::compute(Mat image, vector_KeyPoint& keypoints, Mat& descriptors)
//
/**
* Computes the descriptors for a set of keypoints detected in an image (first variant) or image set
* (second variant).
*
* @param image Image.
* @param keypoints Input collection of keypoints. Keypoints for which a descriptor cannot be
* computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint
* with several dominant orientations (for each orientation).
* @param descriptors Computed descriptors. In the second variant of the method descriptors[i] are
* descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the
* descriptor for keypoint j-th keypoint.
*/
public void compute(Mat image, MatOfKeyPoint keypoints, Mat descriptors) {
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
}
//
// C++: void cv::Feature2D::compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
//
/**
*
*
* @param images Image set.
* @param keypoints Input collection of keypoints. Keypoints for which a descriptor cannot be
* computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint
* with several dominant orientations (for each orientation).
* @param descriptors Computed descriptors. In the second variant of the method descriptors[i] are
* descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the
* descriptor for keypoint j-th keypoint.
*/
public void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors) {
Mat images_mat = Converters.vector_Mat_to_Mat(images);
List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
Mat descriptors_mat = new Mat();
compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
descriptors_mat.release();
}
//
// C++: void cv::Feature2D::detectAndCompute(Mat image, Mat mask, vector_KeyPoint& keypoints, Mat& descriptors, bool useProvidedKeypoints = false)
//
/**
* Detects keypoints and computes the descriptors
* @param image automatically generated
* @param mask automatically generated
* @param keypoints automatically generated
* @param descriptors automatically generated
* @param useProvidedKeypoints automatically generated
*/
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, boolean useProvidedKeypoints) {
Mat keypoints_mat = keypoints;
detectAndCompute_0(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj, useProvidedKeypoints);
}
/**
* Detects keypoints and computes the descriptors
* @param image automatically generated
* @param mask automatically generated
* @param keypoints automatically generated
* @param descriptors automatically generated
*/
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors) {
Mat keypoints_mat = keypoints;
detectAndCompute_1(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
}
//
// C++: int cv::Feature2D::descriptorSize()
//
public int descriptorSize() {
return descriptorSize_0(nativeObj);
}
//
// C++: int cv::Feature2D::descriptorType()
//
public int descriptorType() {
return descriptorType_0(nativeObj);
}
//
// C++: int cv::Feature2D::defaultNorm()
//
public int defaultNorm() {
return defaultNorm_0(nativeObj);
}
//
// C++: void cv::Feature2D::write(String fileName)
//
public void write(String fileName) {
write_0(nativeObj, fileName);
}
//
// C++: void cv::Feature2D::read(String fileName)
//
public void read(String fileName) {
read_0(nativeObj, fileName);
}
//
// C++: void cv::Feature2D::read(FileNode arg1)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: bool cv::Feature2D::empty()
//
public boolean empty() {
return empty_0(nativeObj);
}
//
// C++: String cv::Feature2D::getDefaultName()
//
public String getDefaultName() {
return getDefaultName_0(nativeObj);
}
//
// C++: void cv::Feature2D::write(FileStorage fs, String name)
//
// Unknown type 'FileStorage' (I), skipping the function
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: void cv::Feature2D::detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
private static native void detect_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long mask_nativeObj);
private static native void detect_1(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj);
// C++: void cv::Feature2D::detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector_Mat())
private static native void detect_2(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long masks_mat_nativeObj);
private static native void detect_3(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj);
// C++: void cv::Feature2D::compute(Mat image, vector_KeyPoint& keypoints, Mat& descriptors)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void cv::Feature2D::compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
private static native void compute_1(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long descriptors_mat_nativeObj);
// C++: void cv::Feature2D::detectAndCompute(Mat image, Mat mask, vector_KeyPoint& keypoints, Mat& descriptors, bool useProvidedKeypoints = false)
private static native void detectAndCompute_0(long nativeObj, long image_nativeObj, long mask_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj, boolean useProvidedKeypoints);
private static native void detectAndCompute_1(long nativeObj, long image_nativeObj, long mask_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: int cv::Feature2D::descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int cv::Feature2D::descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: int cv::Feature2D::defaultNorm()
private static native int defaultNorm_0(long nativeObj);
// C++: void cv::Feature2D::write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// C++: void cv::Feature2D::read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: bool cv::Feature2D::empty()
private static native boolean empty_0(long nativeObj);
// C++: String cv::Feature2D::getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
