content: 
  //
  // 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);
  
  }
  