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// // This file is auto-generated. Please don't modify it! ////w ww . j a v a2s. c o m 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> * * @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 GRIDRETECTOR = 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, GRID_FAST = GRIDRETECTOR + FAST, GRID_STAR = GRIDRETECTOR + STAR, GRID_SIFT = GRIDRETECTOR + SIFT, GRID_SURF = GRIDRETECTOR + SURF, GRID_ORB = GRIDRETECTOR + ORB, GRID_MSER = GRIDRETECTOR + MSER, GRID_GFTT = GRIDRETECTOR + GFTT, GRID_HARRIS = GRIDRETECTOR + HARRIS, GRID_SIMPLEBLOB = GRIDRETECTOR + SIMPLEBLOB, GRID_DENSE = GRIDRETECTOR + DENSE, 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, 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; // // 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>"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); } // // native stuff // static { System.loadLibrary("opencv_java"); } // 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); }