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0bd54a60e9
**Merge with contrib**: https://github.com/opencv/opencv_contrib/pull/3003 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV - [x] The PR is proposed to proper branch - [ ] There is reference to original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
68 lines
2.3 KiB
Java
68 lines
2.3 KiB
Java
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.GFTTDetector;
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public class GFTTFeatureDetectorTest extends OpenCVTestCase {
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GFTTDetector detector;
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@Override
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protected void setUp() throws Exception {
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super.setUp();
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detector = GFTTDetector.create(); // default constructor have (1000, 0.01, 1, 3, 3, false, 0.04)
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}
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public void testCreate() {
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assertNotNull(detector);
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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.GFTTDetector\"\nnfeatures: 500\nqualityLevel: 2.0000000000000000e-02\nminDistance: 2.\nblockSize: 4\ngradSize: 5\nuseHarrisDetector: 1\nk: 5.0000000000000000e-02\n");
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detector.read(filename);
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assertEquals(500, detector.getMaxFeatures());
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assertEquals(0.02, detector.getQualityLevel());
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assertEquals(2.0, detector.getMinDistance());
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assertEquals(4, detector.getBlockSize());
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assertEquals(5, detector.getGradientSize());
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assertEquals(true, detector.getHarrisDetector());
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assertEquals(0.05, detector.getK());
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}
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public void testWriteYml() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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detector.write(filename);
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String truth = "%YAML:1.0\n---\nname: \"Feature2D.GFTTDetector\"\nnfeatures: 1000\nqualityLevel: 1.0000000000000000e-02\nminDistance: 1.\nblockSize: 3\ngradSize: 3\nuseHarrisDetector: 0\nk: 4.0000000000000001e-02\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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