Test data form features2d updated.

modules/java/android_test/src/org/opencv/test/features2d/BruteForceDescriptorMatcherTest.java

@@ -84,11 +84,11 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
         matSize = 100;
 
         truth = new DMatch[] {
-                new DMatch(0, 0, 0, 1.049694f),
+                new DMatch(0, 0, 0, 1.0496940f),
-                new DMatch(1, 0, 0, 1.066820f),
+                new DMatch(1, 0, 0, 1.0984558f),
-                new DMatch(2, 1, 0, 0.494587f),
+                new DMatch(2, 1, 0, 0.4945875f),
-                new DMatch(3, 0, 0, 1.141826f),
+                new DMatch(3, 1, 0, 0.48435235f),
-                new DMatch(4, 0, 0, 1.084099f)
+                new DMatch(4, 0, 0, 1.0836693f)
                 };
 
         super.setUp();
@@ -206,6 +206,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
         matcher.add(Arrays.asList(train));
 
         matcher.match(query, matches);
+
         assertArrayDMatchEquals(truth, matches.toArray(), EPS);
     }
 

modules/java/android_test/src/org/opencv/test/features2d/BruteForceL1DescriptorMatcherTest.java

@@ -84,11 +84,11 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
         matSize = 100;
 
         truth = new DMatch[] {
-                new DMatch(0, 1, 0, 6.9202332f),
+                new DMatch(0, 1, 0, 6.9202340f),
-                new DMatch(1, 0, 0, 6.0567350f),
+                new DMatch(1, 1, 0, 6.1675916f),
-                new DMatch(2, 1, 0, 2.6798587f),
+                new DMatch(2, 1, 0, 2.6798590f),
-                new DMatch(3, 0, 0, 5.8991642f),
+                new DMatch(3, 1, 0, 2.6545324f),
-                new DMatch(4, 0, 0, 6.1321812f)
+                new DMatch(4, 0, 0, 6.1294870f)
                 };
         super.setUp();
     }
@@ -183,6 +183,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
         matcher.add(Arrays.asList(train));
 
         matcher.match(query, matches);
+
         assertArrayDMatchEquals(truth, matches.toArray(), EPS);
     }
 

modules/java/android_test/src/org/opencv/test/features2d/BruteForceSL2DescriptorMatcherTest.java

@@ -89,11 +89,11 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
         matSize = 100;
 
         truth = new DMatch[] {
-                new DMatch(0, 0, 0, 1.1018578f),
+                new DMatch(0, 0, 0, 1.1018573f),
-                new DMatch(1, 0, 0, 1.1381058f),
+                new DMatch(1, 0, 0, 1.2066052f),
                 new DMatch(2, 1, 0, 0.2446168f),
-                new DMatch(3, 0, 0, 1.3037685f),
+                new DMatch(3, 1, 0, 0.23459719f),
-                new DMatch(4, 0, 0, 1.1752719f)
+                new DMatch(4, 0, 0, 1.174339f)
                 };
 
         super.setUp();
@@ -189,9 +189,10 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
         matcher.add(Arrays.asList(train));
 
         matcher.match(query, matches);
-OpenCVTestRunner.Log(matches);
+        OpenCVTestRunner.Log(matches);
-OpenCVTestRunner.Log(matches);
+        OpenCVTestRunner.Log(matches);
-OpenCVTestRunner.Log(matches);
+        OpenCVTestRunner.Log(matches);
+
         assertArrayDMatchEquals(truth, matches.toArray(), EPS);
     }
 

modules/java/android_test/src/org/opencv/test/features2d/FASTFeatureDetectorTest.java

@@ -128,7 +128,9 @@ public class FASTFeatureDetectorTest extends OpenCVTestCase {
         detector.write(filename);
 
         String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.FAST</name>\n<nonmaxSuppression>1</nonmaxSuppression>\n<threshold>10</threshold>\n</opencv_storage>\n";
-        assertEquals(truth, readFile(filename));
+        String data = readFile(filename);
+
+        assertEquals(truth, data);
     }
 
     public void testWriteYml() {
@@ -137,7 +139,8 @@ public class FASTFeatureDetectorTest extends OpenCVTestCase {
         detector.write(filename);
 
         String truth = "%YAML:1.0\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\n";
-        assertEquals(truth, readFile(filename));
+        String data = readFile(filename);
-    }
 
+        assertEquals(truth, data);
+    }
 }

modules/java/android_test/src/org/opencv/test/features2d/FlannBasedDescriptorMatcherTest.java

@@ -159,10 +159,10 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
 
         truth = new DMatch[] {
                 new DMatch(0, 0, 0, 1.049694f),
-                new DMatch(1, 0, 0, 1.066820f),
+                new DMatch(1, 0, 0, 1.0984558f),
-                new DMatch(2, 1, 0, 0.494587f),
+                new DMatch(2, 1, 0, 0.4945875f),
-                new DMatch(3, 0, 0, 1.141826f),
+                new DMatch(3, 1, 0, 0.48435235f),
-                new DMatch(4, 0, 0, 1.084099f)
+                new DMatch(4, 0, 0, 1.0836693f)
                 };
 
         super.setUp();

modules/java/android_test/src/org/opencv/test/features2d/SIFTDescriptorExtractorTest.java

@@ -34,11 +34,14 @@ public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
         truth = new Mat(1, 128, CvType.CV_32FC1) {
             {
                 put(0, 0,
-                        0, 0, 0, 0, 0, 0, 0, 0, 16, 12, 17, 28, 26, 0, 0, 2, 23, 14, 12, 9, 6, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                          0, 0, 0, 1, 3, 0, 0, 0, 15, 23, 22, 20, 24, 2, 0, 0, 7, 8, 2, 0,
-                        14, 88, 23, 17, 24, 29, 0, 117, 54, 117, 116, 117, 22, 29, 27, 117, 59, 76, 19, 30, 2, 9, 26, 2, 7, 6, 0, 0,
+                          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27, 16, 13, 2, 0, 0, 117,
-                        0, 0, 0, 0, 8, 50, 16, 30, 58, 89, 0, 117, 49, 95, 75, 117, 112, 117, 93, 81, 86, 117, 5, 5, 39, 117, 71, 20,
+                          86, 79, 68, 117, 42, 5, 5, 79, 60, 117, 25, 9, 2, 28, 19, 11, 13,
-                        20, 12, 0, 0, 1, 20, 19, 0, 0, 0, 2, 14, 4, 1, 0, 69, 0, 0, 14, 90, 31, 35, 56, 25, 0, 0, 0, 0, 2, 12, 16, 0,
+                          20, 2, 0, 0, 5, 8, 0, 0, 76, 58, 34, 31, 97, 16, 95, 49, 117, 92,
-                        0, 0, 0, 0, 0, 2, 1);
+                          117, 112, 117, 76, 117, 54, 117, 25, 29, 22, 117, 117, 16, 11, 14,
+                          1, 0, 0, 22, 26, 0, 0, 0, 0, 1, 4, 15, 2, 47, 8, 0, 0, 82, 56, 31,
+                          17, 81, 12, 0, 0, 26, 23, 18, 23, 0, 0, 0, 0, 0, 0, 0, 0
+                   );
             }
         };
 
@@ -76,18 +79,19 @@ public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
     }
 
     public void testRead() {
-        MatOfKeyPoint keypoints =new MatOfKeyPoint(keypoint);
+        MatOfKeyPoint keypoints = new MatOfKeyPoint(keypoint);
         Mat img = getTestImg();
         Mat descriptors = new Mat();
 
         String filename = OpenCVTestRunner.getTempFileName("yml");
         writeFile(filename,
-                "%YAML:1.0\nmagnification: 3.\nisNormalize: 1\nrecalculateAngles: 1\nnOctaves: 6\nnOctaveLayers: 4\nfirstOctave: -1\nangleMode: 0\n");
+            "%YAML:1.0\nname: \"Feature2D.SIFT\"\ncontrastThreshold: 0.01\nedgeThreshold: 200\nnFeatures: 0\nsigma: 1.6\n");
 
         extractor.read(filename);
 
         extractor.compute(img, keypoints, descriptors);
-        assertMatNotEqual(truth, descriptors, EPS);
+
+        assertMatEqual(truth, descriptors, EPS);
     }
 
     public void testWrite() {

modules/java/android_test/src/org/opencv/test/features2d/SURFDescriptorExtractorTest.java

@@ -47,19 +47,20 @@ public class SURFDescriptorExtractorTest extends OpenCVTestCase {
         Mat truth = new Mat(1, 128, CvType.CV_32FC1) {
             {
                 put(0, 0,
-                        -0.0041138371, 0.0041138371, 0, 0, 0, 0, 0.0014427509, 0.0014427509, -0.0081971241, 0.034624498, 0.032569118,
+                          0, 0, 0, 0, 0, 0, 0, 0, 0.045382127, 0.075976953, -0.031969212, 0.035002094, 0.012224297,
-                        0.032569118, -0.007222258, 0.0076424959, 0.0033254174, 0.0033254174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                          0.012286193, -0.0088025155, 0.0088025155, 0.00017225844, 0.00017225844, 0, 0, 8.2743405e-05,
-                        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.10815519, 0.38033518, 0.24314292, 0.24314292, -0.068393648, 0.068393648,
+                          8.2743405e-05, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8.2743405e-05, 8.2743405e-05, -0.00017225844,
-                        0.039715949, 0.039715949, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8.7263528e-05, 8.7263528e-05, -6.0081031e-05,
+                          0.00017225844, 0, 0, 0.31723264, 0.42715758, -0.19872268, 0.23621935, 0.033304065, 0.033918764,
-                        6.0081031e-05, -0.00012158759, 0.00012158759, 0.0033254174, 0.0033254174, -0.007222258, 0.0076424964,
+                          -0.021780485, 0.021780485, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.0088025145,
-                        0.0081971241, 0.034624498, -0.032569118, 0.032569118, -0.077379324, 0.27552885, 0.14366581, 0.31175563,
+                          0.0088025145, 0.012224296, 0.012286192, -0.045382123, 0.075976953, 0.031969212, 0.035002094,
-                        -0.013609707, 0.24329227, -0.091054246, 0.17476201, 0.022970313, 0.022970313, -0.035123408, 0.035771687,
+                          0.10047197, 0.21463872, -0.0012294546, 0.18176091, -0.075555265, 0.35627601, 0.01270232,
-                        0.1907353, 0.3838968, -0.31571922, 0.31571922, 0.0092833797, 0.0092833797, -0.012892088, 0.012957365,
+                          0.20058797, -0.037658721, 0.037658721, 0.064850949, 0.064850949, -0.27688536, 0.44229308,
-                        0.029558292, 0.073337689, -0.043703932, 0.043703932, 0.0014427509, 0.0014427509, 0, 0, 0.0041138371,
+                          0.14888979, 0.14888979, -0.0031531656, 0.0031531656, 0.0068481555, 0.0072466261, -0.034193151,
-                        0.0041138371, 0, 0, -0.02955829, 0.073337704, 0.043703932, 0.043703932, -0.012892087, 0.012957364,
+                          0.040314503, 0.01108359, 0.023398584, -0.00071876607, 0.00071876607, -0.0031819802,
-                        0.0092833797,0.0092833797, 6.0081031e-05, 6.0081031e-05, 0.00012158759, 0.00012158759, -8.7263528e-05,
+                          0.0031819802, 0, 0, -0.0013680183, 0.0013680183, 0.034193147, 0.040314503, -0.01108359,
-                        8.7263528e-05, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
+                          0.023398584, 0.006848156, 0.0072466265, -0.0031531656, 0.0031531656, 0, 0, 0, 0, 0, 0, 0, 0,
-                        );
+                         -0.0013680183, 0.0013680183, 0, 0, 0.00071876607, 0.00071876607, 0.0031819802, 0.0031819802
+                    );
             }
         };