--- /dev/null
+package org.opencv.test.features2d;
+
+import org.opencv.core.Core;
+import org.opencv.core.CvType;
+import org.opencv.core.Mat;
+import org.opencv.core.Point;
+import org.opencv.core.Scalar;
+import org.opencv.features2d.DescriptorExtractor;
+import org.opencv.features2d.KeyPoint;
+import org.opencv.test.OpenCVTestCase;
+import org.opencv.test.OpenCVTestRunner;
+
+import java.util.Arrays;
+import java.util.List;
+
+public class ORBDescriptorExtractorTest extends OpenCVTestCase {
+
+ DescriptorExtractor extractor;
+ int matSize;
+
+ private Mat getTestImg() {
+ Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
+ Core.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
+ Core.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
+
+ return cross;
+ }
+
+ @Override
+ protected void setUp() throws Exception {
+ extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
+ matSize = 100;
+
+ super.setUp();
+ }
+
+ public void testCompute() {
+ KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
+ List<KeyPoint> keypoints = Arrays.asList(point);
+ Mat img = getTestImg();
+ Mat descriptors = new Mat();
+
+ extractor.compute(img, keypoints, descriptors);
+
+ Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
+ {
+ put(0, 0, 20, 51, 88, 22, 14, 181, 78, 111, 36, 144, 62, 0, 188, 196, 4, 8, 133, 80, 96, 18, 64, 29, 0,
+ 254, 230, 247, 12, 2, 78, 129, 70, 145);
+ }
+ };
+ assertMatEqual(truth, descriptors);
+ }
+
+ public void testCreate() {
+ assertNotNull(extractor);
+ }
+
+ public void testDescriptorSize() {
+ assertEquals(32, extractor.descriptorSize());
+ }
+
+ public void testDescriptorType() {
+ assertEquals(CvType.CV_8U, extractor.descriptorType());
+ }
+
+ public void testEmpty() {
+ assertFalse(extractor.empty());
+ }
+
+ public void testRead() {
+ KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
+ List<KeyPoint> keypoints = Arrays.asList(point);
+ Mat img = getTestImg();
+ Mat descriptors = new Mat();
+
+ String filename = OpenCVTestRunner.getTempFileName("yml");
+ writeFile(filename, "%YAML:1.0\nscaleFactor: 1.1\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n");
+ extractor.read(filename);
+
+ extractor.compute(img, keypoints, descriptors);
+
+ Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
+ {
+ put(0, 0, 20, 55, 88, 20, 14, 49, 70, 111, 148, 144, 30, 16, 252, 133, 0, 8, 5, 85, 32, 0, 74, 25, 0,
+ 252, 119, 191, 4, 2, 66, 1, 66, 145);
+ }
+ };
+ assertMatEqual(truth, descriptors);
+ }
+
+ public void testWrite() {
+ String filename = OpenCVTestRunner.getTempFileName("xml");
+
+ extractor.write(filename);
+
+ String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<scaleFactor>1.2000000476837158e+00</scaleFactor>\n<nLevels>3</nLevels>\n<firstLevel>0</firstLevel>\n<edgeThreshold>31</edgeThreshold>\n<patchSize>31</patchSize>\n</opencv_storage>\n";
+ assertEquals(truth, readFile(filename));
+ }
+
+ public void testWriteYml() {
+ String filename = OpenCVTestRunner.getTempFileName("yml");
+
+ extractor.write(filename);
+
+ String truth = "%YAML:1.0\nscaleFactor: 1.2000000476837158e+00\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n";
+ assertEquals(truth, readFile(filename));
+ }
+
+}
--- /dev/null
+package org.opencv.test.features2d;
+
+import org.opencv.core.Core;
+import org.opencv.core.CvType;
+import org.opencv.core.Mat;
+import org.opencv.core.Point;
+import org.opencv.core.Scalar;
+import org.opencv.features2d.DescriptorExtractor;
+import org.opencv.features2d.KeyPoint;
+import org.opencv.test.OpenCVTestCase;
+import org.opencv.test.OpenCVTestRunner;
+
+import java.util.Arrays;
+import java.util.List;
+
+public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
+
+ DescriptorExtractor extractor;
+ KeyPoint keypoint;
+ Mat truth;
+ int matSize;
+
+ private Mat getTestImg() {
+ Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
+ Core.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
+ Core.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
+
+ return cross;
+ }
+
+ @Override
+ protected void setUp() throws Exception {
+ extractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
+ keypoint = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
+ matSize = 100;
+ truth = new Mat(1, 128, CvType.CV_32FC1) {
+ {
+ put(0,0, 123, 0, 0, 1, 123, 0, 0, 1, 123, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 123, 0, 0, 2, 123, 0, 0, 2, 123, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 123, 30,
+ 7, 31, 123, 0, 0, 0, 123, 52, 88, 0, 0, 0, 0, 0, 0, 2, 123, 0, 0, 0, 0, 0, 0, 1, 110, 0, 0, 0, 0, 0, 18, 37, 18, 34, 16,
+ 21, 12, 23, 12, 50, 123, 0, 0, 0, 90, 26, 0, 3, 123, 0, 0, 1, 122, 0, 0, 2, 123, 0, 0, 1, 93, 0);
+ }
+ };
+
+ super.setUp();
+ }
+
+ public void testCompute() {
+ List<KeyPoint> keypoints = Arrays.asList(keypoint);
+ Mat img = getTestImg();
+ Mat descriptors = new Mat();
+
+ extractor.compute(img, keypoints, descriptors);
+
+ assertMatEqual(truth, descriptors, EPS);
+ }
+
+ public void testCreate() {
+ assertNotNull(extractor);
+ }
+
+ public void testDescriptorSize() {
+ assertEquals(128, extractor.descriptorSize());
+ }
+
+ public void testDescriptorType() {
+ assertEquals(CvType.CV_32F, extractor.descriptorType());
+ }
+
+ public void testEmpty() {
+ assertFalse(extractor.empty());
+ }
+
+ public void testRead() {
+ List<KeyPoint> keypoints = Arrays.asList(keypoint);
+ Mat img = getTestImg();
+ Mat descriptors = new Mat();
+
+ String filename = OpenCVTestRunner.getTempFileName("yml");
+ writeFile(filename, "%YAML:1.0\nmagnification: 3.\nisNormalize: 1\nrecalculateAngles: 1\nnOctaves: 6\nnOctaveLayers: 4\nfirstOctave: -1\nangleMode: 0\n");
+
+ extractor.read(filename);
+
+ extractor.compute(img, keypoints, descriptors);
+ assertMatNotEqual(truth, descriptors, EPS);
+ }
+
+ public void testWrite() {
+ String filename = OpenCVTestRunner.getTempFileName("xml");
+
+ extractor.write(filename);
+
+ String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<magnification>3.</magnification>\n<isNormalize>1</isNormalize>\n<recalculateAngles>1</recalculateAngles>\n<nOctaves>4</nOctaves>\n<nOctaveLayers>3</nOctaveLayers>\n<firstOctave>-1</firstOctave>\n<angleMode>0</angleMode>\n</opencv_storage>\n";
+ assertEquals(truth, readFile(filename));
+ }
+
+ public void testWriteYml() {
+ String filename = OpenCVTestRunner.getTempFileName("yml");
+
+ extractor.write(filename);
+
+ String truth = "%YAML:1.0\nmagnification: 3.\nisNormalize: 1\nrecalculateAngles: 1\nnOctaves: 4\nnOctaveLayers: 3\nfirstOctave: -1\nangleMode: 0\n";
+ assertEquals(truth, readFile(filename));
+ }
+
+}