Commit f978ee61 authored by abratchik's avatar abratchik

fix for #7510, #7511 and #7512

parent 78874c56
package org.opencv.test.calib3d;
import org.opencv.calib3d.Calib3d;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
......@@ -237,6 +236,8 @@ public class Calib3dTest extends OpenCVTestCase {
}
public void testFindFundamentalMatListOfPointListOfPoint() {
fail("Not yet implemented");
/*
int minFundamentalMatPoints = 8;
MatOfPoint2f pts = new MatOfPoint2f();
......@@ -253,6 +254,7 @@ public class Calib3dTest extends OpenCVTestCase {
truth = new Mat(3, 3, CvType.CV_64F);
truth.put(0, 0, 0, -0.577, 0.288, 0.577, 0, 0.288, -0.288, -0.288, 0);
assertMatEqual(truth, fm, EPS);
*/
}
public void testFindFundamentalMatListOfPointListOfPointInt() {
......
......@@ -27,7 +27,7 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
@Override
protected void setUp() throws Exception {
super.setUp();
extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"BriefDescriptorExtractor", ALGORITHM_FACTORY_NAME, null, null);
extractor = createClassInstance(XFEATURES2D+"BriefDescriptorExtractor", DEFAULT_FACTORY, null, null);
matSize = 100;
}
......@@ -74,7 +74,7 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\ndescriptorSize: 64\n");
writeFile(filename, "%YAML:1.0\n---\ndescriptorSize: 64\n");
extractor.read(filename);
......@@ -95,7 +95,7 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
extractor.write(filename);
String truth = "%YAML 1.0\n---\ndescriptorSize: 32\n";
String truth = "%YAML:1.0\n---\ndescriptorSize: 32\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -37,8 +37,8 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
Feature2D detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
setProperty(detector, "hessianThreshold", "double", 8000);
setProperty(detector, "nOctaves", "int", 3);
......@@ -64,7 +64,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
Mat descriptors = new Mat();
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
extractor.compute(img, keypoints, descriptors);
......@@ -272,7 +272,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\n");
writeFile(filename, "%YAML:1.0\n---\n");
matcher.read(filename);
assertTrue(true);// BruteforceMatcher has no settings
......@@ -287,7 +287,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
matcher.write(filename);
String truth = "%YAML 1.0\n---\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -47,7 +47,7 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.FAST);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"BriefDescriptorExtractor", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"BriefDescriptorExtractor", DEFAULT_FACTORY, null, null);
detector.detect(img, keypoints);
extractor.compute(img, keypoints, descriptors);
......@@ -240,7 +240,7 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\n");
writeFile(filename, "%YAML:1.0\n---\n");
matcher.read(filename);
assertTrue(true);// BruteforceMatcher has no settings
......@@ -255,7 +255,7 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
matcher.write(filename);
String truth = "%YAML 1.0\n---\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -46,7 +46,7 @@ public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.FAST);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"BriefDescriptorExtractor", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"BriefDescriptorExtractor", DEFAULT_FACTORY, null, null);
detector.detect(img, keypoints);
extractor.compute(img, keypoints, descriptors);
......@@ -235,7 +235,7 @@ public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\n");
writeFile(filename, "%YAML:1.0\n---\n");
matcher.read(filename);
assertTrue(true);// BruteforceMatcher has no settings
......@@ -250,7 +250,7 @@ public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
matcher.write(filename);
String truth = "%YAML 1.0\n---\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -36,8 +36,8 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
Feature2D detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
setProperty(detector, "extended", "boolean", true);
setProperty(detector, "hessianThreshold", "double", 8000);
......@@ -64,7 +64,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
Mat descriptors = new Mat();
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
extractor.compute(img, keypoints, descriptors);
......@@ -246,7 +246,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\n");
writeFile(filename, "%YAML:1.0\n---\n");
matcher.read(filename);
assertTrue(true);// BruteforceMatcher has no settings
......@@ -261,7 +261,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
matcher.write(filename);
String truth = "%YAML 1.0\n---\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -42,8 +42,8 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
Feature2D detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
setProperty(detector, "hessianThreshold", "double", 8000);
setProperty(detector, "nOctaves", "int", 3);
......@@ -69,7 +69,7 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
Mat descriptors = new Mat();
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
extractor.compute(img, keypoints, descriptors);
......@@ -258,7 +258,7 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\n");
writeFile(filename, "%YAML:1.0\n---\n");
matcher.read(filename);
assertTrue(true);// BruteforceMatcher has no settings
......@@ -273,7 +273,7 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
matcher.write(filename);
String truth = "%YAML 1.0\n---\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicDENSEFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicFASTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicGFTTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicHARRISFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicMSERFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicORBFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicSIFTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicSIMPLEBLOBFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicSTARFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class DynamicSURFFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
......@@ -83,14 +83,14 @@ public class FASTFeatureDetectorTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\nthreshold: 130\nnonmaxSuppression: 1\n");
writeFile(filename, "%YAML:1.0\n---\nthreshold: 130\nnonmaxSuppression: 1\n");
detector.read(filename);
MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
detector.detect(grayChess, keypoints1);
writeFile(filename, "%YAML 1.0\n---\nthreshold: 150\nnonmaxSuppression: 1\n");
writeFile(filename, "%YAML:1.0\n---\nthreshold: 150\nnonmaxSuppression: 1\n");
detector.read(filename);
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
......@@ -139,8 +139,8 @@ public class FASTFeatureDetectorTest extends OpenCVTestCase {
detector.write(filename);
// String truth = "%YAML 1.0\n---\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\ntype: 2\n";
String truth = "%YAML 1.0\n---\n";
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\ntype: 2\n";
String truth = "%YAML:1.0\n---\n";
String data = readFile(filename);
//Log.d("qqq", "\"" + data + "\"");
......
......@@ -77,11 +77,11 @@ public class Features2dTest extends OpenCVTestCase {
public void testPTOD()
{
String detectorCfg = "%YAML 1.0\n---\nhessianThreshold: 4000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n";
String extractorCfg = "%YAML 1.0\n---\nnOctaves: 4\nnOctaveLayers: 2\nextended: 0\nupright: 0\n";
String detectorCfg = "%YAML:1.0\n---\nhessianThreshold: 4000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n";
String extractorCfg = "%YAML:1.0\n---\nnOctaves: 4\nnOctaveLayers: 2\nextended: 0\nupright: 0\n";
Feature2D detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
String detectorCfgFile = OpenCVTestRunner.getTempFileName("yml");
......
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class FernGenericDescriptorMatcherTest extends OpenCVTestCase {
public void testAdd() {
fail("Not yet implemented");
}
public void testClassifyMatListOfKeyPointMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testClassifyMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testClear() {
fail("Not yet implemented");
}
public void testCloneBoolean() {
fail("Not yet implemented");
}
public void testClone() {
fail("Not yet implemented");
}
public void testCreate() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testGetTrainImages() {
fail("Not yet implemented");
}
public void testGetTrainKeypoints() {
fail("Not yet implemented");
}
public void testIsMaskSupported() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchIntMatBoolean() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchIntMat() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchInt() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointListOfListOfDMatchIntListOfMatBoolean() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointListOfListOfDMatchIntListOfMat() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointListOfListOfDMatchInt() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointMatListOfKeyPointListOfDMatchMat() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointMatListOfKeyPointListOfDMatch() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointListOfDMatchListOfMat() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointListOfDMatch() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchFloatMatBoolean() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchFloatMat() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchFloat() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointListOfListOfDMatchFloatListOfMatBoolean() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointListOfListOfDMatchFloatListOfMat() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointListOfListOfDMatchFloat() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testTrain() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
......@@ -3,7 +3,6 @@ package org.opencv.test.features2d;
import java.util.Arrays;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvException;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
......@@ -12,9 +11,7 @@ import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.core.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
......@@ -49,7 +46,7 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
+ " <type>15</type>\n"
+ " <value>1</value></_></searchParams>\n"
+ "</opencv_storage>\n";
static final String ymlParamsDefault = "%YAML 1.0\n---\n"
static final String ymlParamsDefault = "%YAML:1.0\n---\n"
+ "format: 3\n"
+ "indexParams:\n"
+ " -\n"
......@@ -73,7 +70,7 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
+ " name: sorted\n"
+ " type: 15\n"
+ " value: 1\n";
static final String ymlParamsModified = "%YAML 1.0\n---\n"
static final String ymlParamsModified = "%YAML:1.0\n---\n"
+ "format: 3\n"
+ "indexParams:\n"
+ " -\n"
......@@ -117,8 +114,8 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
Feature2D detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
setProperty(detector, "hessianThreshold", "double", 8000);
setProperty(detector, "nOctaves", "int", 3);
......@@ -143,7 +140,7 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
Mat descriptors = new Mat();
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
extractor.compute(img, keypoints, descriptors);
......
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridDENSEFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridFASTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridGFTTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridHARRISFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridMSERFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridORBFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridSIFTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridSIMPLEBLOBFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridSTARFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class GridSURFFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
......@@ -83,7 +83,7 @@ public class ORBDescriptorExtractorTest extends OpenCVTestCase {
Mat descriptors = new Mat();
// String filename = OpenCVTestRunner.getTempFileName("yml");
// writeFile(filename, "%YAML 1.0\n---\nscaleFactor: 1.1\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n");
// writeFile(filename, "%YAML:1.0\n---\nscaleFactor: 1.1\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n");
// extractor.read(filename);
extractor = ORB.create(500, 1.1f, 3, 31, 0, 2, ORB.HARRIS_SCORE, 31, 20);
......@@ -115,8 +115,8 @@ public class ORBDescriptorExtractorTest extends OpenCVTestCase {
extractor.write(filename);
// String truth = "%YAML 1.0\n---\nname: \"Feature2D.ORB\"\nWTA_K: 2\nedgeThreshold: 31\nfirstLevel: 0\nnFeatures: 500\nnLevels: 8\npatchSize: 31\nscaleFactor: 1.2000000476837158e+00\nscoreType: 0\n";
String truth = "%YAML 1.0\n---\n";
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.ORB\"\nWTA_K: 2\nedgeThreshold: 31\nfirstLevel: 0\nnFeatures: 500\nnLevels: 8\npatchSize: 31\nscaleFactor: 1.2000000476837158e+00\nscoreType: 0\n";
String truth = "%YAML:1.0\n---\n";
String actual = readFile(filename);
actual = actual.replaceAll("e\\+000", "e+00"); // NOTE: workaround for different platforms double representation
assertEquals(truth, actual);
......
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class OneWayGenericDescriptorMatcherTest extends OpenCVTestCase {
public void testAdd() {
fail("Not yet implemented");
}
public void testClassifyMatListOfKeyPointMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testClassifyMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testClear() {
fail("Not yet implemented");
}
public void testCloneBoolean() {
fail("Not yet implemented");
}
public void testClone() {
fail("Not yet implemented");
}
public void testCreate() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testGetTrainImages() {
fail("Not yet implemented");
}
public void testGetTrainKeypoints() {
fail("Not yet implemented");
}
public void testIsMaskSupported() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchIntMatBoolean() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchIntMat() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchInt() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointListOfListOfDMatchIntListOfMatBoolean() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointListOfListOfDMatchIntListOfMat() {
fail("Not yet implemented");
}
public void testKnnMatchMatListOfKeyPointListOfListOfDMatchInt() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointMatListOfKeyPointListOfDMatchMat() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointMatListOfKeyPointListOfDMatch() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointListOfDMatchListOfMat() {
fail("Not yet implemented");
}
public void testMatchMatListOfKeyPointListOfDMatch() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchFloatMatBoolean() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchFloatMat() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointMatListOfKeyPointListOfListOfDMatchFloat() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointListOfListOfDMatchFloatListOfMatBoolean() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointListOfListOfDMatchFloatListOfMat() {
fail("Not yet implemented");
}
public void testRadiusMatchMatListOfKeyPointListOfListOfDMatchFloat() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testTrain() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class OpponentBRIEFDescriptorExtractorTest extends OpenCVTestCase {
public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testComputeMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testCreate() {
fail("Not yet implemented");
}
public void testDescriptorSize() {
fail("Not yet implemented");
}
public void testDescriptorType() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class OpponentORBDescriptorExtractorTest extends OpenCVTestCase {
public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testComputeMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testCreate() {
fail("Not yet implemented");
}
public void testDescriptorSize() {
fail("Not yet implemented");
}
public void testDescriptorType() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class OpponentSIFTDescriptorExtractorTest extends OpenCVTestCase {
public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testComputeMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testCreate() {
fail("Not yet implemented");
}
public void testDescriptorSize() {
fail("Not yet implemented");
}
public void testDescriptorType() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class OpponentSURFDescriptorExtractorTest extends OpenCVTestCase {
public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testComputeMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testCreate() {
fail("Not yet implemented");
}
public void testDescriptorSize() {
fail("Not yet implemented");
}
public void testDescriptorType() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidDENSEFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidFASTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidGFTTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidHARRISFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidMSERFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidORBFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidSIFTFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidSIMPLEBLOBFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidSTARFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
public class PyramidSURFFeatureDetectorTest extends OpenCVTestCase {
public void testCreate() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfKeyPointMat() {
fail("Not yet implemented");
}
public void testEmpty() {
fail("Not yet implemented");
}
public void testRead() {
fail("Not yet implemented");
}
public void testWrite() {
fail("Not yet implemented");
}
}
......@@ -29,7 +29,7 @@ public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
@Override
protected void setUp() throws Exception {
super.setUp();
extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SIFT", ALGORITHM_FACTORY_NAME, null, null);
extractor = createClassInstance(XFEATURES2D+"SIFT", DEFAULT_FACTORY, null, null);
keypoint = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
matSize = 100;
truth = new Mat(1, 128, CvType.CV_32FC1) {
......@@ -99,8 +99,8 @@ public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
extractor.write(filename);
// String truth = "%YAML 1.0\n---\nname: \"Feature2D.SIFT\"\ncontrastThreshold: 4.0000000000000001e-02\nedgeThreshold: 10.\nnFeatures: 0\nnOctaveLayers: 3\nsigma: 1.6000000000000001e+00\n";
String truth = "%YAML 1.0\n---\n";
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.SIFT\"\ncontrastThreshold: 4.0000000000000001e-02\nedgeThreshold: 10.\nnFeatures: 0\nnOctaveLayers: 3\nsigma: 1.6000000000000001e+00\n";
String truth = "%YAML:1.0\n---\n";
String actual = readFile(filename);
actual = actual.replaceAll("e([+-])0(\\d\\d)", "e$1$2"); // NOTE: workaround for different platforms double representation
assertEquals(truth, actual);
......
......@@ -43,7 +43,7 @@ public class STARFeatureDetectorTest extends OpenCVTestCase {
protected void setUp() throws Exception {
super.setUp();
detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"StarDetector", ALGORITHM_FACTORY_NAME, null, null);
detector = createClassInstance(XFEATURES2D+"StarDetector", DEFAULT_FACTORY, null, null);
matSize = 200;
truth = new KeyPoint[] {
new KeyPoint( 95, 80, 22, -1, 31.5957f, 0, -1),
......@@ -101,7 +101,7 @@ public class STARFeatureDetectorTest extends OpenCVTestCase {
detector.detect(img, keypoints1);
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\nmaxSize: 45\nresponseThreshold: 150\nlineThresholdProjected: 10\nlineThresholdBinarized: 8\nsuppressNonmaxSize: 5\n");
writeFile(filename, "%YAML:1.0\n---\nmaxSize: 45\nresponseThreshold: 150\nlineThresholdProjected: 10\nlineThresholdBinarized: 8\nsuppressNonmaxSize: 5\n");
detector.read(filename);
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
......@@ -125,8 +125,8 @@ public class STARFeatureDetectorTest extends OpenCVTestCase {
detector.write(filename);
// String truth = "%YAML 1.0\n---\nname: \"Feature2D.STAR\"\nlineThresholdBinarized: 8\nlineThresholdProjected: 10\nmaxSize: 45\nresponseThreshold: 30\nsuppressNonmaxSize: 5\n";
String truth = "%YAML 1.0\n---\n";
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.STAR\"\nlineThresholdBinarized: 8\nlineThresholdProjected: 10\nmaxSize: 45\nresponseThreshold: 30\nsuppressNonmaxSize: 5\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -30,7 +30,7 @@ public class SURFDescriptorExtractorTest extends OpenCVTestCase {
Class[] cParams = {double.class, int.class, int.class, boolean.class, boolean.class};
Object[] oValues = {100, 2, 4, true, false};
extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, cParams, oValues);
extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, cParams, oValues);
matSize = 100;
}
......@@ -89,7 +89,7 @@ public class SURFDescriptorExtractorTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\nnOctaves: 4\nnOctaveLayers: 2\nextended: 1\nupright: 0\n");
writeFile(filename, "%YAML:1.0\n---\nnOctaves: 4\nnOctaveLayers: 2\nextended: 1\nupright: 0\n");
extractor.read(filename);
......@@ -111,8 +111,8 @@ public class SURFDescriptorExtractorTest extends OpenCVTestCase {
extractor.write(filename);
// String truth = "%YAML 1.0\n---\nname: \"Feature2D.SURF\"\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0\n";
String truth = "%YAML 1.0\n---\n";
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.SURF\"\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -53,7 +53,7 @@ public class SURFFeatureDetectorTest extends OpenCVTestCase {
@Override
protected void setUp() throws Exception {
super.setUp();
detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
matSize = 100;
truth = new KeyPoint[] {
new KeyPoint(55.775578f, 55.775578f, 16, 80.245735f, 8617.8633f, 0, -1),
......@@ -143,7 +143,7 @@ public class SURFFeatureDetectorTest extends OpenCVTestCase {
detector.detect(cross, keypoints1);
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML 1.0\n---\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n");
writeFile(filename, "%YAML:1.0\n---\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n");
detector.read(filename);
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
......@@ -167,8 +167,8 @@ public class SURFFeatureDetectorTest extends OpenCVTestCase {
detector.write(filename);
// String truth = "%YAML 1.0\n---\nname: \"Feature2D.SURF\"\nextended: 0\nhessianThreshold: 100.\nnOctaveLayers: 3\nnOctaves: 4\nupright: 0\n";
String truth = "%YAML 1.0\n---\n";
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.SURF\"\nextended: 0\nhessianThreshold: 100.\nnOctaveLayers: 3\nnOctaves: 4\nupright: 0\n";
String truth = "%YAML:1.0\n---\n";
assertEquals(truth, readFile(filename));
}
......
......@@ -1116,7 +1116,7 @@ public class ImgprocTest extends OpenCVTestCase {
Imgproc.HoughLinesP(img, lines, 1, 3.1415926/180, 100);
assertEquals(2, lines.cols());
assertEquals(2, lines.rows());
/*
Log.d("HoughLinesP", "lines=" + lines);
......@@ -1407,14 +1407,14 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testMinEnclosingCircle() {
MatOfPoint2f points = new MatOfPoint2f(new Point(0, 0), new Point(-1, 0), new Point(0, -1), new Point(1, 0), new Point(0, 1));
MatOfPoint2f points = new MatOfPoint2f(new Point(0, 0), new Point(-100, 0), new Point(0, -100), new Point(100, 0), new Point(0, 100));
Point actualCenter = new Point();
float[] radius = new float[1];
Imgproc.minEnclosingCircle(points, actualCenter, radius);
assertEquals(new Point(0, 0), actualCenter);
assertEquals(1.03f, radius[0], EPS);
assertEquals(100.0f, radius[0], 1.0);
}
public void testMomentsMat() {
......
......@@ -34,8 +34,8 @@ public class OpenCVTestCase extends TestCase {
protected static boolean isTestCaseEnabled = true;
protected static final String XFEATURES2D_PACKAGE_NAME = "org.opencv.xfeatures2d.";
protected static final String ALGORITHM_FACTORY_NAME = "create";
protected static final String XFEATURES2D = "org.opencv.xfeatures2d.";
protected static final String DEFAULT_FACTORY = "create";
protected static final int matSize = 10;
protected static final double EPS = 0.001;
......@@ -467,63 +467,50 @@ public class OpenCVTestCase extends TestCase {
}
}
protected <T> T createAlgorythmInstance(String cname, String factoryName, Class cParams[], Object oValues[]) {
T algorithm = null;
protected <T> T createClassInstance(String cname, String factoryName, Class cParams[], Object oValues[]) {
T instance = null;
assertFalse("Class name should not be empty", "".equals(cname));
String message="";
int step=0;
try {
Class algClass = getClassForName(cname);
step=1;
Method factory = null;
if(cParams!=null && cParams.length>0) {
step=2;
if(!"".equals(factoryName)) {
step=3;
factory = algClass.getDeclaredMethod(factoryName, cParams);
algorithm = (T) factory.invoke(null, oValues);
step=4;
instance = (T) factory.invoke(null, oValues);
}
else {
step=5;
algorithm = (T) algClass.getConstructor(cParams).newInstance(oValues);
step=6;
instance = (T) algClass.getConstructor(cParams).newInstance(oValues);
}
}
else {
step=7;
if(!"".equals(factoryName)) {
step=8;
factory = algClass.getDeclaredMethod(factoryName);
algorithm = (T) factory.invoke(null);
step=9;
instance = (T) factory.invoke(null);
}
else {
step=10;
algorithm = (T) algClass.getConstructor().newInstance();
step=11;
instance = (T) algClass.getConstructor().newInstance();
}
}
}
catch(Exception ex) {
message = TAG + " :: " + "could not instantiate " + cname + "! step " + step;
message = TAG + " :: " + "could not instantiate " + cname + "! Exception: " + ex.getMessage();
}
assertTrue(message, algorithm!=null);
assertTrue(message, instance!=null);
return algorithm;
return instance;
}
protected <T> void setProperty(T algorythm, String propertyName, String propertyType, Object propertyValue) {
protected <T> void setProperty(T instance, String propertyName, String propertyType, Object propertyValue) {
String message = "";
try {
String smethod = "set" + propertyName.substring(0,1).toUpperCase() + propertyName.substring(1);
// System.out.println("Setting field " + p.getPname() + "/" + smethod + "/" + p.getValue());
Method setter = algorythm.getClass().getMethod(smethod, getClassForName(propertyType));
setter.invoke(algorythm, propertyValue);
Method setter = instance.getClass().getMethod(smethod, getClassForName(propertyType));
setter.invoke(instance, propertyValue);
}
catch(Exception ex) {
message = "Error when setting property [" + propertyName + "]: " + ex.getMessage();
......
......@@ -32,8 +32,8 @@ public class OpenCVTestCase extends TestCase {
protected static boolean isTestCaseEnabled = true;
protected static final String XFEATURES2D_PACKAGE_NAME = "org.opencv.xfeatures2d.";
protected static final String ALGORITHM_FACTORY_NAME = "create";
protected static final String XFEATURES2D = "org.opencv.xfeatures2d.";
protected static final String DEFAULT_FACTORY = "create";
protected static final int matSize = 10;
protected static final double EPS = 0.001;
......@@ -493,63 +493,50 @@ public class OpenCVTestCase extends TestCase {
}
}
protected <T> T createAlgorythmInstance(String cname, String factoryName, Class cParams[], Object oValues[]) {
T algorithm = null;
protected <T> T createClassInstance(String cname, String factoryName, Class cParams[], Object oValues[]) {
T instance = null;
assertFalse("Class name should not be empty", "".equals(cname));
String message="";
int step=0;
try {
Class algClass = getClassForName(cname);
step=1;
Method factory = null;
if(cParams!=null && cParams.length>0) {
step=2;
if(!"".equals(factoryName)) {
step=3;
factory = algClass.getDeclaredMethod(factoryName, cParams);
algorithm = (T) factory.invoke(null, oValues);
step=4;
instance = (T) factory.invoke(null, oValues);
}
else {
step=5;
algorithm = (T) algClass.getConstructor(cParams).newInstance(oValues);
step=6;
instance = (T) algClass.getConstructor(cParams).newInstance(oValues);
}
}
else {
step=7;
if(!"".equals(factoryName)) {
step=8;
factory = algClass.getDeclaredMethod(factoryName);
algorithm = (T) factory.invoke(null);
step=9;
instance = (T) factory.invoke(null);
}
else {
step=10;
algorithm = (T) algClass.getConstructor().newInstance();
step=11;
instance = (T) algClass.getConstructor().newInstance();
}
}
}
catch(Exception ex) {
message = TAG + " :: " + "could not instantiate " + cname + "! step " + step;
message = TAG + " :: " + "could not instantiate " + cname + "! Exception: " + ex.getMessage();
}
assertTrue(message, algorithm!=null);
assertTrue(message, instance!=null);
return algorithm;
return instance;
}
protected <T> void setProperty(T algorythm, String propertyName, String propertyType, Object propertyValue) {
protected <T> void setProperty(T instance, String propertyName, String propertyType, Object propertyValue) {
String message = "";
try {
String smethod = "set" + propertyName.substring(0,1).toUpperCase() + propertyName.substring(1);
// System.out.println("Setting field " + p.getPname() + "/" + smethod + "/" + p.getValue());
Method setter = algorythm.getClass().getMethod(smethod, getClassForName(propertyType));
setter.invoke(algorythm, propertyValue);
Method setter = instance.getClass().getMethod(smethod, getClassForName(propertyType));
setter.invoke(instance, propertyValue);
}
catch(Exception ex) {
message = "Error when setting property [" + propertyName + "]: " + ex.getMessage();
......
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