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Generate invertible covariance matrix

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This commit is contained in:
Adrian Kretz 2024-02-18 20:09:53 +01:00
parent 12aa0fe898
commit 3473b8a653
1 changed files with 4 additions and 5 deletions
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9
modules/core/misc/java/test/CoreTest.java
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@ -947,11 +947,11 @@ public class CoreTest extends OpenCVTestCase {
} }
public void testMahalanobis() { public void testMahalanobis() {
Mat src = new Mat(matSize, matSize, CvType.CV_32F); Mat src = new Mat(matSize + 1, matSize, CvType.CV_32F);
Core.randu(src, -128, 128); Core.randu(src, -128, 128);
Mat covar = new Mat(matSize, matSize, CvType.CV_32F); Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
Mat mean = new Mat(1, matSize, CvType.CV_32F); Mat mean = new Mat(1, matSize + 1, CvType.CV_32F);
Core.calcCovarMatrix(src, covar, mean, Core.COVAR_ROWS | Core.COVAR_NORMAL, CvType.CV_32F); Core.calcCovarMatrix(src, covar, mean, Core.COVAR_ROWS | Core.COVAR_NORMAL, CvType.CV_32F);
covar = covar.inv(); covar = covar.inv();
@ -962,9 +962,8 @@ public class CoreTest extends OpenCVTestCase {
assertEquals(0.0, d); assertEquals(0.0, d);
// Bug: https://github.com/opencv/opencv/issues/24348 d = Core.Mahalanobis(line1, line2, covar);
// d = Core.Mahalanobis(line1, line2, covar); assertTrue(d > 0.0);
// assertTrue(d > 0.0);
} }
public void testMax() { public void testMax() {