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Open Source Computer Vision Library
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64 lines
1.8 KiB
64 lines
1.8 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.BRISK;
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public class BRISKDescriptorExtractorTest extends OpenCVTestCase {
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BRISK 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 = BRISK.create(); // default (30,3,1)
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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---\nname: \"Feature2D.BRISK\"\nthreshold: 31\noctaves: 4\npatternScale: 1.1\n");
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extractor.read(filename);
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assertEquals(31, extractor.getThreshold());
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assertEquals(4, extractor.getOctaves());
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assertEquals(1.1f, extractor.getPatternScale());
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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---\nname: \"Feature2D.BRISK\"\nthreshold: 30\noctaves: 3\npatternScale: 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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