Java Converters.vector_vector_DMatch_to_Mat方法代码示例

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public static void drawMatchesKnn(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);
    drawMatchesKnn_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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public static void drawMatchesKnn(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);
    drawMatchesKnn_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
    
    return;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
/**
* <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;
   }