//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class javaFeatureDetector
/**
* <p>Abstract base class for 2D image feature detectors.</p>
*
* <p>class CV_EXPORTS FeatureDetector <code></p>
*
* <p>// C++ code:</p>
*
*
* <p>public:</p>
*
* <p>virtual ~FeatureDetector();</p>
*
* <p>void detect(const Mat& image, vector<KeyPoint>& keypoints,</p>
*
* <p>const Mat& mask=Mat()) const;</p>
*
* <p>void detect(const vector<Mat>& images,</p>
*
* <p>vector<vector<KeyPoint> >& keypoints,</p>
*
* <p>const vector<Mat>& masks=vector<Mat>()) const;</p>
*
* <p>virtual void read(const FileNode&);</p>
*
* <p>virtual void write(FileStorage&) const;</p>
*
* <p>static Ptr<FeatureDetector> create(const string& detectorType);</p>
*
* <p>protected:...</p>
*
* <p>};</p>
*
* @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector">org.opencv.features2d.FeatureDetector : public Algorithm</a>
*/
public class FeatureDetector {
protected final long nativeObj;
protected FeatureDetector(long addr) { nativeObj = addr; }
private static final int
GRIDDETECTOR = 1000,
PYRAMIDDETECTOR = 2000,
DYNAMICDETECTOR = 3000;
public static final int
FAST = 1,
STAR = 2,
SIFT = 3,
SURF = 4,
ORB = 5,
MSER = 6,
GFTT = 7,
HARRIS = 8,
SIMPLEBLOB = 9,
DENSE = 10,
BRISK = 11,
GRIDRETECTOR = 1000,
GRID_FAST = GRIDDETECTOR + FAST,
GRID_STAR = GRIDDETECTOR + STAR,
GRID_SIFT = GRIDDETECTOR + SIFT,
GRID_SURF = GRIDDETECTOR + SURF,
GRID_ORB = GRIDDETECTOR + ORB,
GRID_MSER = GRIDDETECTOR + MSER,
GRID_GFTT = GRIDDETECTOR + GFTT,
GRID_HARRIS = GRIDDETECTOR + HARRIS,
GRID_SIMPLEBLOB = GRIDDETECTOR + SIMPLEBLOB,
GRID_DENSE = GRIDDETECTOR + DENSE,
GRID_BRISK = GRIDDETECTOR + BRISK,
PYRAMID_FAST = PYRAMIDDETECTOR + FAST,
PYRAMID_STAR = PYRAMIDDETECTOR + STAR,
PYRAMID_SIFT = PYRAMIDDETECTOR + SIFT,
PYRAMID_SURF = PYRAMIDDETECTOR + SURF,
PYRAMID_ORB = PYRAMIDDETECTOR + ORB,
PYRAMID_MSER = PYRAMIDDETECTOR + MSER,
PYRAMID_GFTT = PYRAMIDDETECTOR + GFTT,
PYRAMID_HARRIS = PYRAMIDDETECTOR + HARRIS,
PYRAMID_SIMPLEBLOB = PYRAMIDDETECTOR + SIMPLEBLOB,
PYRAMID_DENSE = PYRAMIDDETECTOR + DENSE,
PYRAMID_BRISK = PYRAMIDDETECTOR + BRISK,
DYNAMIC_FAST = DYNAMICDETECTOR + FAST,
DYNAMIC_STAR = DYNAMICDETECTOR + STAR,
DYNAMIC_SIFT = DYNAMICDETECTOR + SIFT,
DYNAMIC_SURF = DYNAMICDETECTOR + SURF,
DYNAMIC_ORB = DYNAMICDETECTOR + ORB,
DYNAMIC_MSER = DYNAMICDETECTOR + MSER,
DYNAMIC_GFTT = DYNAMICDETECTOR + GFTT,
DYNAMIC_HARRIS = DYNAMICDETECTOR + HARRIS,
DYNAMIC_SIMPLEBLOB = DYNAMICDETECTOR + SIMPLEBLOB,
DYNAMIC_DENSE = DYNAMICDETECTOR + DENSE,
DYNAMIC_BRISK = DYNAMICDETECTOR + BRISK;
//
// C++: static javaFeatureDetector* javaFeatureDetector::create(int detectorType)
//
/**
* <p>Creates a feature detector by its name.</p>
*
* <p>The following detector types are supported:</p>
* <ul>
* <li> <code>"FAST"</code> -- "FastFeatureDetector"
* <li> <code>"STAR"</code> -- "StarFeatureDetector"
* <li> <code>"SIFT"</code> -- "SIFT" (nonfree module)
* <li> <code>"SURF"</code> -- "SURF" (nonfree module)
* <li> <code>"ORB"</code> -- "ORB"
* <li> <code>"BRISK"</code> -- "BRISK"
* <li> <code>"MSER"</code> -- "MSER"
* <li> <code>"GFTT"</code> -- "GoodFeaturesToTrackDetector"
* <li> <code>"HARRIS"</code> -- "GoodFeaturesToTrackDetector" with Harris
* detector enabled
* <li> <code>"Dense"</code> -- "DenseFeatureDetector"
* <li> <code>"SimpleBlob"</code> -- "SimpleBlobDetector"
* </ul>
*
* <p>Also a combined format is supported: feature detector adapter name
* (<code>"Grid"</code> -- "GridAdaptedFeatureDetector", <code>"Pyramid"</code>
* -- "PyramidAdaptedFeatureDetector") + feature detector name (see above), for
* example: <code>"GridFAST"</code>, <code>"PyramidSTAR"</code>.</p>
*
* @param detectorType Feature detector type.
*
* @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector-create">org.opencv.features2d.FeatureDetector.create</a>
*/
public static FeatureDetector create(int detectorType)
{
FeatureDetector retVal = new FeatureDetector(create_0(detectorType));
return retVal;
}
//
// C++: void javaFeatureDetector::detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
//
/**
* <p>Detects keypoints in an image (first variant) or image set (second variant).</p>
*
* @param image Image.
* @param keypoints The detected keypoints. In the second variant of the method
* <code>keypoints[i]</code> is a set of keypoints detected in <code>images[i]</code>.
* @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.
*
* @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector-detect">org.opencv.features2d.FeatureDetector.detect</a>
*/
public void detect(Mat image, MatOfKeyPoint keypoints, Mat mask)
{
Mat keypoints_mat = keypoints;
detect_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, mask.nativeObj);
return;
}
/**
* <p>Detects keypoints in an image (first variant) or image set (second variant).</p>
*
* @param image Image.
* @param keypoints The detected keypoints. In the second variant of the method
* <code>keypoints[i]</code> is a set of keypoints detected in <code>images[i]</code>.
*
* @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector-detect">org.opencv.features2d.FeatureDetector.detect</a>
*/
public void detect(Mat image, MatOfKeyPoint keypoints)
{
Mat keypoints_mat = keypoints;
detect_1(nativeObj, image.nativeObj, keypoints_mat.nativeObj);
return;
}
//
// C++: void javaFeatureDetector::detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector<Mat>())
//
/**
* <p>Detects keypoints in an image (first variant) or image set (second variant).</p>
*
* @param images Image set.
* @param keypoints The detected keypoints. In the second variant of the method
* <code>keypoints[i]</code> is a set of keypoints detected in <code>images[i]</code>.
* @param masks Masks for each input image specifying where to look for
* keypoints (optional). <code>masks[i]</code> is a mask for <code>images[i]</code>.
*
* @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector-detect">org.opencv.features2d.FeatureDetector.detect</a>
*/
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);
return;
}
/**
* <p>Detects keypoints in an image (first variant) or image set (second variant).</p>
*
* @param images Image set.
* @param keypoints The detected keypoints. In the second variant of the method
* <code>keypoints[i]</code> is a set of keypoints detected in <code>images[i]</code>.
*
* @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector-detect">org.opencv.features2d.FeatureDetector.detect</a>
*/
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);
return;
}
//
// C++: bool javaFeatureDetector::empty()
//
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: void javaFeatureDetector::read(string fileName)
//
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void javaFeatureDetector::write(string fileName)
//
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static javaFeatureDetector* javaFeatureDetector::create(int detectorType)
private static native long create_0(int detectorType);
// C++: void javaFeatureDetector::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 javaFeatureDetector::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++: bool javaFeatureDetector::empty()
private static native boolean empty_0(long nativeObj);
// C++: void javaFeatureDetector::read(string fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void javaFeatureDetector::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);
}