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package org.opencv.test.features2d;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import org.opencv.features2d.KAZE;
public class KAZEDescriptorExtractorTest extends OpenCVTestCase {
KAZE extractor;
@Override
protected void setUp() throws Exception {
super.setUp();
extractor = KAZE.create(); // default (false,false,0.001f,4,4,1)
}
public void testCreate() {
assertNotNull(extractor);
}
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 testReadYml() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML:1.0\n---\nformat: 3\nname: \"Feature2D.KAZE\"\nextended: 1\nupright: 1\nthreshold: 0.125\noctaves: 3\nsublevels: 5\ndiffusivity: 2\n");
extractor.read(filename);
assertEquals(true, extractor.getExtended());
assertEquals(true, extractor.getUpright());
assertEquals(0.125, extractor.getThreshold());
assertEquals(3, extractor.getNOctaves());
assertEquals(5, extractor.getNOctaveLayers());
assertEquals(2, extractor.getDiffusivity());
}
public void testWriteYml() {
String filename = OpenCVTestRunner.getTempFileName("yml");
extractor.write(filename);
String truth = "%YAML:1.0\n---\nformat: 3\nname: \"Feature2D.KAZE\"\nextended: 0\nupright: 0\nthreshold: 0.0010000000474974513\noctaves: 4\nsublevels: 4\ndiffusivity: 1\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);
}
}
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