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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
103 lines
3.3 KiB
Java
103 lines
3.3 KiB
Java
package org.opencv.test.features2d;
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import org.opencv.core.CvType;
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import org.opencv.core.Mat;
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import org.opencv.core.MatOfKeyPoint;
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import org.opencv.core.Point;
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import org.opencv.core.Scalar;
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import org.opencv.core.KeyPoint;
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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.imgproc.Imgproc;
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import org.opencv.features2d.Feature2D;
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public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
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Feature2D extractor;
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int matSize;
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private Mat getTestImg() {
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Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
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Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
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return cross;
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}
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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 = createClassInstance(XFEATURES2D+"BriefDescriptorExtractor", DEFAULT_FACTORY, null, null);
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matSize = 100;
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}
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public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
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fail("Not yet implemented");
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}
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public void testComputeMatListOfKeyPointMat() {
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KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
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MatOfKeyPoint keypoints = new MatOfKeyPoint(point);
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Mat img = getTestImg();
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Mat descriptors = new Mat();
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extractor.compute(img, keypoints, descriptors);
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Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
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{
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put(0, 0, 96, 0, 76, 24, 47, 182, 68, 137,
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149, 195, 67, 16, 187, 224, 74, 8,
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82, 169, 87, 70, 44, 4, 192, 56,
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13, 128, 44, 106, 146, 72, 194, 245);
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}
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};
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assertMatEqual(truth, descriptors);
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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 testDescriptorSize() {
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assertEquals(32, extractor.descriptorSize());
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}
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public void testDescriptorType() {
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assertEquals(CvType.CV_8U, extractor.descriptorType());
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}
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public void testEmpty() {
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// assertFalse(extractor.empty());
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fail("Not yet implemented"); // BRIEF does not override empty() method
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}
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public void testRead() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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writeFile(filename, "%YAML:1.0\n---\ndescriptorSize: 64\n");
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extractor.read(filename);
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assertEquals(64, extractor.descriptorSize());
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}
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public void testWrite() {
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String filename = OpenCVTestRunner.getTempFileName("xml");
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extractor.write(filename);
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String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.BRIEF</name>\n<descriptorSize>32</descriptorSize>\n<use_orientation>0</use_orientation>\n</opencv_storage>\n";
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assertEquals(truth, readFile(filename));
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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.BRIEF\"\ndescriptorSize: 32\nuse_orientation: 0\n";
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assertEquals(truth, readFile(filename));
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}
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}
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