content: 
  //
  // This file is auto-generated. Please don't modify it!
  //
  package org.opencv.features2d;
  
  import java.util.ArrayList;
  import java.util.List;
  import org.opencv.core.Mat;
  import org.opencv.core.MatOfByte;
  import org.opencv.core.MatOfDMatch;
  import org.opencv.core.MatOfKeyPoint;
  import org.opencv.core.Scalar;
  import org.opencv.utils.Converters;
  
  public class Features2d {
  
      public static final int
              DRAW_OVER_OUTIMG = 1,
              NOT_DRAW_SINGLE_POINTS = 2,
              DRAW_RICH_KEYPOINTS = 4;
  
  
      //
      // C++:  void drawKeypoints(Mat image, vector_KeyPoint keypoints, Mat outImage, Scalar color = Scalar::all(-1), int flags = 0)
      //
  
  /**
   * <p>Draws keypoints.</p>
   *
   * @param image Source image.
   * @param keypoints Keypoints from the source image.
   * @param outImage Output image. Its content depends on the <code>flags</code>
   * value defining what is drawn in the output image. See possible
   * <code>flags</code> bit values below.
   * @param color Color of keypoints.
   * @param flags Flags setting drawing features. Possible <code>flags</code> bit
   * values are defined by <code>DrawMatchesFlags</code>. See details above in
   * "drawMatches".
   *
   * @see <a href="http://docs.opencv.org/modules/features2d/doc/drawing_function_of_keypoints_and_matches.html#drawkeypoints">org.opencv.features2d.Features2d.drawKeypoints</a>
   */
      public static void drawKeypoints(Mat image, MatOfKeyPoint keypoints, Mat outImage, Scalar color, int flags)
      {
          Mat keypoints_mat = keypoints;
          drawKeypoints_0(image.nativeObj, keypoints_mat.nativeObj, outImage.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3], flags);
  
          return;
      }
  
  /**
   * <p>Draws keypoints.</p>
   *
   * @param image Source image.
   * @param keypoints Keypoints from the source image.
   * @param outImage Output image. Its content depends on the <code>flags</code>
   * value defining what is drawn in the output image. See possible
   * <code>flags</code> bit values below.
   *
   * @see <a href="http://docs.opencv.org/modules/features2d/doc/drawing_function_of_keypoints_and_matches.html#drawkeypoints">org.opencv.features2d.Features2d.drawKeypoints</a>
   */
      public static void drawKeypoints(Mat image, MatOfKeyPoint keypoints, Mat outImage)
      {
          Mat keypoints_mat = keypoints;
          drawKeypoints_1(image.nativeObj, keypoints_mat.nativeObj, outImage.nativeObj);
  
          return;
      }
  
  
      //
      // C++:  void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = vector<char>(), int flags = 0)
      //
  
  /**
   * <p>Draws the found matches of keypoints from two images.</p>
   *
   * <p>This function draws matches of keypoints from two images in the output image.
   * Match is a line connecting two keypoints (circles). The structure
   * <code>DrawMatchesFlags</code> is defined as follows: struct DrawMatchesFlags
   * <code></p>
   *
   * <p>// C++ code:</p>
   *
   *
   * <p>enum</p>
   *
   *
   * <p>DEFAULT = 0, // Output image matrix will be created (Mat.create),</p>
   *
   * <p>// i.e. existing memory of output image may be reused.</p>
   *
   * <p>// Two source images, matches, and single keypoints</p>
   *
   * <p>// will be drawn.</p>
   *
   * <p>// For each keypoint, only the center point will be</p>
   *
   * <p>// drawn (without a circle around the keypoint with the</p>
   *
   * <p>// keypoint size and orientation).</p>
   *
   * <p>DRAW_OVER_OUTIMG = 1, // Output image matrix will not be</p>
   *
   * <p>// created (using Mat.create). Matches will be drawn</p>
   *
   * <p>// on existing content of output image.</p>
   *
   * <p>NOT_DRAW_SINGLE_POINTS = 2, // Single keypoints will not be drawn.</p>
   *
   * <p>DRAW_RICH_KEYPOINTS = 4 // For each keypoint, the circle around</p>
   *
   * <p>// keypoint with keypoint size and orientation will</p>
   *
   * <p>// be drawn.</p>
   *
   * <p>};</p>
   *
   * <p>};</p>
   *
   * <p></code></p>
   *
   * @param img1 First source image.
   * @param keypoints1 Keypoints from the first source image.
   * @param img2 Second source image.
   * @param keypoints2 Keypoints from the second source image.
   * @param matches1to2 Matches from the first image to the second one, which
   * means that <code>keypoints1[i]</code> has a corresponding point in
   * <code>keypoints2[matches[i]]</code>.
   * @param outImg Output image. Its content depends on the <code>flags</code>
   * value defining what is drawn in the output image. See possible
   * <code>flags</code> bit values below.
   * @param matchColor Color of matches (lines and connected keypoints). If
   * <code>matchColor==Scalar.all(-1)</code>, the color is generated randomly.
   * @param singlePointColor Color of single keypoints (circles), which means that
   * keypoints do not have the matches. If <code>singlePointColor==Scalar.all(-1)</code>,
   * the color is generated randomly.
   * @param matchesMask Mask determining which matches are drawn. If the mask is
   * empty, all matches are drawn.
   * @param flags Flags setting drawing features. Possible <code>flags</code> bit
   * values are defined by <code>DrawMatchesFlags</code>.
   *
   * @see <a href="http://docs.opencv.org/modules/features2d/doc/drawing_function_of_keypoints_and_matches.html#drawmatches">org.opencv.features2d.Features2d.drawMatches</a>
   */
      public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)
      {
          Mat keypoints1_mat = keypoints1;
          Mat keypoints2_mat = keypoints2;
          Mat matches1to2_mat = matches1to2;
          Mat matchesMask_mat = matchesMask;
          drawMatches_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
  
          return;
      }
  
  /**
   * <p>Draws the found matches of keypoints from two images.</p>
   *
   * <p>This function draws matches of keypoints from two images in the output image.
   * Match is a line connecting two keypoints (circles). The structure
   * <code>DrawMatchesFlags</code> is defined as follows: struct DrawMatchesFlags
   * <code></p>
   *
   * <p>// C++ code:</p>
   *
   *
   * <p>enum</p>
   *
   *
   * <p>DEFAULT = 0, // Output image matrix will be created (Mat.create),</p>
   *
   * <p>// i.e. existing memory of output image may be reused.</p>
   *
   * <p>// Two source images, matches, and single keypoints</p>
   *
   * <p>// will be drawn.</p>
   *
   * <p>// For each keypoint, only the center point will be</p>
   *
   * <p>// drawn (without a circle around the keypoint with the</p>
   *
   * <p>// keypoint size and orientation).</p>
   *
   * <p>DRAW_OVER_OUTIMG = 1, // Output image matrix will not be</p>
   *
   * <p>// created (using Mat.create). Matches will be drawn</p>
   *
   * <p>// on existing content of output image.</p>
   *
   * <p>NOT_DRAW_SINGLE_POINTS = 2, // Single keypoints will not be drawn.</p>
   *
   * <p>DRAW_RICH_KEYPOINTS = 4 // For each keypoint, the circle around</p>
   *
   * <p>// keypoint with keypoint size and orientation will</p>
   *
   * <p>// be drawn.</p>
   *
   * <p>};</p>
   *
   * <p>};</p>
   *
   * <p></code></p>
   *
   * @param img1 First source image.
   * @param keypoints1 Keypoints from the first source image.
   * @param img2 Second source image.
   * @param keypoints2 Keypoints from the second source image.
   * @param matches1to2 Matches from the first image to the second one, which
   * means that <code>keypoints1[i]</code> has a corresponding point in
   * <code>keypoints2[matches[i]]</code>.
   * @param outImg Output image. Its content depends on the <code>flags</code>
   * value defining what is drawn in the output image. See possible
   * <code>flags</code> bit values below.
   *
   * @see <a href="http://docs.opencv.org/modules/features2d/doc/drawing_function_of_keypoints_and_matches.html#drawmatches">org.opencv.features2d.Features2d.drawMatches</a>
   */
      public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg)
      {
          Mat keypoints1_mat = keypoints1;
          Mat keypoints2_mat = keypoints2;
          Mat matches1to2_mat = matches1to2;
          drawMatches_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
  
          return;
      }
  
  
      //
      // C++:  void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = vector<vector<char> >(), int flags = 0)
      //
  
  /**
   * <p>Draws the found matches of keypoints from two images.</p>
   *
   * <p>This function draws matches of keypoints from two images in the output image.
   * Match is a line connecting two keypoints (circles). The structure
   * <code>DrawMatchesFlags</code> is defined as follows: struct DrawMatchesFlags
   * <code></p>
   *
   * <p>// C++ code:</p>
   *
   *
   * <p>enum</p>
   *
   *
   * <p>DEFAULT = 0, // Output image matrix will be created (Mat.create),</p>
   *
   * <p>// i.e. existing memory of output image may be reused.</p>
   *
   * <p>// Two source images, matches, and single keypoints</p>
   *
   * <p>// will be drawn.</p>
   *
   * <p>// For each keypoint, only the center point will be</p>
   *
   * <p>// drawn (without a circle around the keypoint with the</p>
   *
   * <p>// keypoint size and orientation).</p>
   *
   * <p>DRAW_OVER_OUTIMG = 1, // Output image matrix will not be</p>
   *
   * <p>// created (using Mat.create). Matches will be drawn</p>
   *
   * <p>// on existing content of output image.</p>
   *
   * <p>NOT_DRAW_SINGLE_POINTS = 2, // Single keypoints will not be drawn.</p>
   *
   * <p>DRAW_RICH_KEYPOINTS = 4 // For each keypoint, the circle around</p>
   *
   * <p>// keypoint with keypoint size and orientation will</p>
   *
   * <p>// be drawn.</p>
   *
   * <p>};</p>
   *
   * <p>};</p>
   *
   * <p></code></p>
   *
   * @param img1 First source image.
   * @param keypoints1 Keypoints from the first source image.
   * @param img2 Second source image.
   * @param keypoints2 Keypoints from the second source image.
   * @param matches1to2 Matches from the first image to the second one, which
   * means that <code>keypoints1[i]</code> has a corresponding point in
   * <code>keypoints2[matches[i]]</code>.
   * @param outImg Output image. Its content depends on the <code>flags</code>
   * value defining what is drawn in the output image. See possible
   * <code>flags</code> bit values below.
   * @param matchColor Color of matches (lines and connected keypoints). If
   * <code>matchColor==Scalar.all(-1)</code>, the color is generated randomly.
   * @param singlePointColor Color of single keypoints (circles), which means that
   * keypoints do not have the matches. If <code>singlePointColor==Scalar.all(-1)</code>,
   * the color is generated randomly.
   * @param matchesMask Mask determining which matches are drawn. If the mask is
   * empty, all matches are drawn.
   * @param flags Flags setting drawing features. Possible <code>flags</code> bit
   * values are defined by <code>DrawMatchesFlags</code>.
   *
   * @see <a href="http://docs.opencv.org/modules/features2d/doc/drawing_function_of_keypoints_and_matches.html#drawmatches">org.opencv.features2d.Features2d.drawMatches</a>
   */
      public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
      {
          Mat keypoints1_mat = keypoints1;
          Mat keypoints2_mat = keypoints2;
          List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
          Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
          List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
          Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
          drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
  
          return;
      }
  
  /**
   * <p>Draws the found matches of keypoints from two images.</p>
   *
   * <p>This function draws matches of keypoints from two images in the output image.
   * Match is a line connecting two keypoints (circles). The structure
   * <code>DrawMatchesFlags</code> is defined as follows: struct DrawMatchesFlags
   * <code></p>
   *
   * <p>// C++ code:</p>
   *
   *
   * <p>enum</p>
   *
   *
   * <p>DEFAULT = 0, // Output image matrix will be created (Mat.create),</p>
   *
   * <p>// i.e. existing memory of output image may be reused.</p>
   *
   * <p>// Two source images, matches, and single keypoints</p>
   *
   * <p>// will be drawn.</p>
   *
   * <p>// For each keypoint, only the center point will be</p>
   *
   * <p>// drawn (without a circle around the keypoint with the</p>
   *
   * <p>// keypoint size and orientation).</p>
   *
   * <p>DRAW_OVER_OUTIMG = 1, // Output image matrix will not be</p>
   *
   * <p>// created (using Mat.create). Matches will be drawn</p>
   *
   * <p>// on existing content of output image.</p>
   *
   * <p>NOT_DRAW_SINGLE_POINTS = 2, // Single keypoints will not be drawn.</p>
   *
   * <p>DRAW_RICH_KEYPOINTS = 4 // For each keypoint, the circle around</p>
   *
   * <p>// keypoint with keypoint size and orientation will</p>
   *
   * <p>// be drawn.</p>
   *
   * <p>};</p>
   *
   * <p>};</p>
   *
   * <p></code></p>
   *
   * @param img1 First source image.
   * @param keypoints1 Keypoints from the first source image.
   * @param img2 Second source image.
   * @param keypoints2 Keypoints from the second source image.
   * @param matches1to2 Matches from the first image to the second one, which
   * means that <code>keypoints1[i]</code> has a corresponding point in
   * <code>keypoints2[matches[i]]</code>.
   * @param outImg Output image. Its content depends on the <code>flags</code>
   * value defining what is drawn in the output image. See possible
   * <code>flags</code> bit values below.
   *
   * @see <a href="http://docs.opencv.org/modules/features2d/doc/drawing_function_of_keypoints_and_matches.html#drawmatches">org.opencv.features2d.Features2d.drawMatches</a>
   */
      public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg)
      {
          Mat keypoints1_mat = keypoints1;
          Mat keypoints2_mat = keypoints2;
          List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
          Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
          drawMatches2_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
  
          return;
      }
  
  
  
  
      // C++:  void drawKeypoints(Mat image, vector_KeyPoint keypoints, Mat outImage, Scalar color = Scalar::all(-1), int flags = 0)
      private static native void drawKeypoints_0(long image_nativeObj, long keypoints_mat_nativeObj, long outImage_nativeObj, double color_val0, double color_val1, double color_val2, double color_val3, int flags);
      private static native void drawKeypoints_1(long image_nativeObj, long keypoints_mat_nativeObj, long outImage_nativeObj);
  
      // C++:  void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = vector<char>(), int flags = 0)
      private static native void drawMatches_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
      private static native void drawMatches_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
  
      // C++:  void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = vector<vector<char> >(), int flags = 0)
      private static native void drawMatches2_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
      private static native void drawMatches2_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
  
  }
  