Open Source Computer Vision Library
https://opencv.org/
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67 lines
2.1 KiB
67 lines
2.1 KiB
2 years ago
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package org.opencv.test.features2d;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import org.opencv.features2d.KAZE;
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public class KAZEDescriptorExtractorTest extends OpenCVTestCase {
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KAZE extractor;
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@Override
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protected void setUp() throws Exception {
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super.setUp();
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extractor = KAZE.create(); // default (false,false,0.001f,4,4,1)
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}
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public void testCreate() {
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assertNotNull(extractor);
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}
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public void testDetectListOfMatListOfListOfKeyPoint() {
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fail("Not yet implemented");
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}
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public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
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fail("Not yet implemented");
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}
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public void testDetectMatListOfKeyPoint() {
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fail("Not yet implemented");
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}
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public void testDetectMatListOfKeyPointMat() {
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fail("Not yet implemented");
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}
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public void testEmpty() {
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fail("Not yet implemented");
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}
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public void testReadYml() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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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");
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extractor.read(filename);
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assertEquals(true, extractor.getExtended());
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assertEquals(true, extractor.getUpright());
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assertEquals(0.125, extractor.getThreshold());
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assertEquals(3, extractor.getNOctaves());
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assertEquals(5, extractor.getNOctaveLayers());
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assertEquals(2, extractor.getDiffusivity());
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}
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public void testWriteYml() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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extractor.write(filename);
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String truth = "%YAML:1.0\n---\nformat: 3\nname: \"Feature2D.KAZE\"\nextended: 0\nupright: 0\nthreshold: 1.0000000474974513e-03\noctaves: 4\nsublevels: 4\ndiffusivity: 1\n";
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String actual = readFile(filename);
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actual = actual.replaceAll("e([+-])0(\\d\\d)", "e$1$2"); // NOTE: workaround for different platforms double representation
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assertEquals(truth, actual);
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}
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}
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