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// // This file is auto-generated. Please don't modify it! ///*from w ww . j av a2s. com*/ 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.MatOfKeyPoint; import org.opencv.utils.Converters; // C++: class javaDescriptorExtractor /** * <p>Abstract base class for computing descriptors for image keypoints.</p> * * <p>In this interface, a keypoint descriptor can be represented as a dense, * fixed-dimension vector of a basic type. Most descriptors follow this pattern * as it simplifies computing distances between descriptors. Therefore, a * collection of descriptors is represented as "Mat", where each row is a * keypoint descriptor.</p> * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_extractors.html#descriptorextractor">org.opencv.features2d.DescriptorExtractor : public Algorithm</a> */ public class DescriptorExtractor { protected final long nativeObj; protected DescriptorExtractor(long addr) { nativeObj = addr; } private static final int OPPONENTEXTRACTOR = 1000; public static final int SIFT = 1, SURF = 2, ORB = 3, BRIEF = 4, OPPONENT_SIFT = OPPONENTEXTRACTOR + SIFT, OPPONENT_SURF = OPPONENTEXTRACTOR + SURF, OPPONENT_ORB = OPPONENTEXTRACTOR + ORB, OPPONENT_BRIEF = OPPONENTEXTRACTOR + BRIEF; // // C++: void javaDescriptorExtractor::compute(Mat image, vector_KeyPoint keypoints, Mat descriptors) // /** * <p>Computes the descriptors for a set of keypoints detected in an image (first * variant) or image set (second variant).</p> * * @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: <code>SIFT</code> duplicates keypoint with several * dominant orientations (for each orientation). * @param descriptors Computed descriptors. In the second variant of the method * <code>descriptors[i]</code> are descriptors computed for a <code>keypoints[i]". * Row </code>j<code> is the </code>keypoints<code> (or </code>keypoints[i]<code>) * is the descriptor for keypoint </code>j"-th keypoint. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_extractors.html#descriptorextractor-compute">org.opencv.features2d.DescriptorExtractor.compute</a> */ public void compute(Mat image, MatOfKeyPoint keypoints, Mat descriptors) { Mat keypoints_mat = keypoints; compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj); return; } // // C++: void javaDescriptorExtractor::compute(vector_Mat images, vector_vector_KeyPoint keypoints, vector_Mat& descriptors) // /** * <p>Computes the descriptors for a set of keypoints detected in an image (first * variant) or image set (second variant).</p> * * @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: <code>SIFT</code> duplicates keypoint with several * dominant orientations (for each orientation). * @param descriptors Computed descriptors. In the second variant of the method * <code>descriptors[i]</code> are descriptors computed for a <code>keypoints[i]". * Row </code>j<code> is the </code>keypoints<code> (or </code>keypoints[i]<code>) * is the descriptor for keypoint </code>j"-th keypoint. * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_extractors.html#descriptorextractor-compute">org.opencv.features2d.DescriptorExtractor.compute</a> */ 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_Mat(descriptors_mat, descriptors); return; } // // C++: static javaDescriptorExtractor* javaDescriptorExtractor::create(int extractorType) // /** * <p>Creates a descriptor extractor by name.</p> * * <p>The current implementation supports the following types of a descriptor * extractor:</p> * <ul> * <li> <code>"SIFT"</code> -- "SIFT" * <li> <code>"SURF"</code> -- "SURF" * <li> <code>"ORB"</code> -- "ORB" * <li> <code>"BRIEF"</code> -- "BriefDescriptorExtractor" * </ul> * * <p>A combined format is also supported: descriptor extractor adapter name * (<code>"Opponent"</code> -- "OpponentColorDescriptorExtractor") + descriptor * extractor name (see above), for example: <code>"OpponentSIFT"</code>.</p> * * @param extractorType a extractorType * * @see <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_extractors.html#descriptorextractor-create">org.opencv.features2d.DescriptorExtractor.create</a> */ public static DescriptorExtractor create(int extractorType) { DescriptorExtractor retVal = new DescriptorExtractor(create_0(extractorType)); return retVal; } // // C++: int javaDescriptorExtractor::descriptorSize() // public int descriptorSize() { int retVal = descriptorSize_0(nativeObj); return retVal; } // // C++: int javaDescriptorExtractor::descriptorType() // public int descriptorType() { int retVal = descriptorType_0(nativeObj); return retVal; } // // C++: bool javaDescriptorExtractor::empty() // public boolean empty() { boolean retVal = empty_0(nativeObj); return retVal; } // // C++: void javaDescriptorExtractor::read(string fileName) // public void read(String fileName) { read_0(nativeObj, fileName); return; } // // C++: void javaDescriptorExtractor::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 javaDescriptorExtractor::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 javaDescriptorExtractor::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++: static javaDescriptorExtractor* javaDescriptorExtractor::create(int extractorType) private static native long create_0(int extractorType); // C++: int javaDescriptorExtractor::descriptorSize() private static native int descriptorSize_0(long nativeObj); // C++: int javaDescriptorExtractor::descriptorType() private static native int descriptorType_0(long nativeObj); // C++: bool javaDescriptorExtractor::empty() private static native boolean empty_0(long nativeObj); // C++: void javaDescriptorExtractor::read(string fileName) private static native void read_0(long nativeObj, String fileName); // C++: void javaDescriptorExtractor::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); }