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Open Source Computer Vision Library
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102 lines
3.1 KiB
102 lines
3.1 KiB
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<descriptorSize>32</descriptorSize>\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---\ndescriptorSize: 32\n"; |
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assertEquals(truth, readFile(filename)); |
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} |
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}
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