Test data form features2d updated.

This commit is contained in:
Alexander 2012-10-29 20:34:36 +04:00 committed by Alexander Smorkalov
parent d936f06297
commit b0106ca25e
7 changed files with 56 additions and 45 deletions

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@ -84,11 +84,11 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
matSize = 100; matSize = 100;
truth = new DMatch[] { 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(); super.setUp();
@ -206,6 +206,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
matcher.add(Arrays.asList(train)); matcher.add(Arrays.asList(train));
matcher.match(query, matches); matcher.match(query, matches);
assertArrayDMatchEquals(truth, matches.toArray(), EPS); assertArrayDMatchEquals(truth, matches.toArray(), EPS);
} }

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@ -84,11 +84,11 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
matSize = 100; matSize = 100;
truth = new DMatch[] { 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(); super.setUp();
} }
@ -183,6 +183,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
matcher.add(Arrays.asList(train)); matcher.add(Arrays.asList(train));
matcher.match(query, matches); matcher.match(query, matches);
assertArrayDMatchEquals(truth, matches.toArray(), EPS); assertArrayDMatchEquals(truth, matches.toArray(), EPS);
} }

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@ -89,11 +89,11 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
matSize = 100; matSize = 100;
truth = new DMatch[] { 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(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(); super.setUp();
@ -189,9 +189,10 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
matcher.add(Arrays.asList(train)); matcher.add(Arrays.asList(train));
matcher.match(query, matches); 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); assertArrayDMatchEquals(truth, matches.toArray(), EPS);
} }

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

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@ -159,10 +159,10 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
truth = new DMatch[] { truth = new DMatch[] {
new DMatch(0, 0, 0, 1.049694f), 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(); super.setUp();

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@ -34,11 +34,14 @@ public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
truth = new Mat(1, 128, CvType.CV_32FC1) { truth = new Mat(1, 128, CvType.CV_32FC1) {
{ {
put(0, 0, 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() { public void testRead() {
MatOfKeyPoint keypoints =new MatOfKeyPoint(keypoint); MatOfKeyPoint keypoints = new MatOfKeyPoint(keypoint);
Mat img = getTestImg(); Mat img = getTestImg();
Mat descriptors = new Mat(); Mat descriptors = new Mat();
String filename = OpenCVTestRunner.getTempFileName("yml"); String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, 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.read(filename);
extractor.compute(img, keypoints, descriptors); extractor.compute(img, keypoints, descriptors);
assertMatNotEqual(truth, descriptors, EPS);
assertMatEqual(truth, descriptors, EPS);
} }
public void testWrite() { public void testWrite() {

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@ -47,19 +47,20 @@ public class SURFDescriptorExtractorTest extends OpenCVTestCase {
Mat truth = new Mat(1, 128, CvType.CV_32FC1) { Mat truth = new Mat(1, 128, CvType.CV_32FC1) {
{ {
put(0, 0, 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
);
} }
}; };