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Open Source Computer Vision Library
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66 lines
2.1 KiB
66 lines
2.1 KiB
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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