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Open Source Computer Vision Library
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146 lines
4.6 KiB
146 lines
4.6 KiB
package org.opencv.test.features2d; |
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import java.util.Arrays; |
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import org.opencv.core.Core; |
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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.features2d.FeatureDetector; |
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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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public class FASTFeatureDetectorTest extends OpenCVTestCase { |
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FeatureDetector detector; |
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KeyPoint[] truth; |
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private Mat getMaskImg() { |
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Mat mask = new Mat(100, 100, CvType.CV_8U, new Scalar(255)); |
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Mat right = mask.submat(0, 100, 50, 100); |
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right.setTo(new Scalar(0)); |
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return mask; |
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} |
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private Mat getTestImg() { |
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Mat img = new Mat(100, 100, CvType.CV_8U, new Scalar(255)); |
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Imgproc.line(img, new Point(30, 30), new Point(70, 70), new Scalar(0), 8); |
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return img; |
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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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detector = FeatureDetector.create(FeatureDetector.FAST); |
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truth = new KeyPoint[] { new KeyPoint(32, 27, 7, -1, 254, 0, -1), new KeyPoint(27, 32, 7, -1, 254, 0, -1), new KeyPoint(73, 68, 7, -1, 254, 0, -1), |
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new KeyPoint(68, 73, 7, -1, 254, 0, -1) }; |
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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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Mat img = getTestImg(); |
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MatOfKeyPoint keypoints = new MatOfKeyPoint(); |
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detector.detect(img, keypoints); |
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assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS); |
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// OpenCVTestRunner.Log("points found: " + keypoints.size()); |
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// for (KeyPoint kp : keypoints) |
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// OpenCVTestRunner.Log(kp.toString()); |
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} |
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public void testDetectMatListOfKeyPointMat() { |
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Mat img = getTestImg(); |
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Mat mask = getMaskImg(); |
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MatOfKeyPoint keypoints = new MatOfKeyPoint(); |
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detector.detect(img, keypoints, mask); |
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assertListKeyPointEquals(Arrays.asList(truth[0], truth[1]), keypoints.toList(), EPS); |
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} |
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public void testEmpty() { |
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assertFalse(detector.empty()); |
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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\nthreshold: 130\nnonmaxSuppression: 1\n"); |
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detector.read(filename); |
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MatOfKeyPoint keypoints1 = new MatOfKeyPoint(); |
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detector.detect(grayChess, keypoints1); |
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writeFile(filename, "%YAML:1.0\nthreshold: 150\nnonmaxSuppression: 1\n"); |
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detector.read(filename); |
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MatOfKeyPoint keypoints2 = new MatOfKeyPoint(); |
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detector.detect(grayChess, keypoints2); |
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assertTrue(keypoints2.total() <= keypoints1.total()); |
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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, |
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"<?xml version=\"1.0\"?>\n<opencv_storage>\n<threshold>130</threshold>\n<nonmaxSuppression>1</nonmaxSuppression>\n</opencv_storage>\n"); |
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detector.read(filename); |
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MatOfKeyPoint keypoints1 = new MatOfKeyPoint(); |
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detector.detect(grayChess, keypoints1); |
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writeFile(filename, |
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"<?xml version=\"1.0\"?>\n<opencv_storage>\n<threshold>150</threshold>\n<nonmaxSuppression>1</nonmaxSuppression>\n</opencv_storage>\n"); |
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detector.read(filename); |
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MatOfKeyPoint keypoints2 = new MatOfKeyPoint(); |
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detector.detect(grayChess, keypoints2); |
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assertTrue(keypoints2.total() <= keypoints1.total()); |
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} |
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public void testWrite() { |
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String filename = OpenCVTestRunner.getTempFileName("xml"); |
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detector.write(filename); |
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String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.FAST</name>\n<nonmaxSuppression>1</nonmaxSuppression>\n<threshold>10</threshold>\n<type>2</type>\n</opencv_storage>\n"; |
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String data = readFile(filename); |
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//Log.d("qqq", "\"" + data + "\""); |
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assertEquals(truth, data); |
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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\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\ntype: 2\n"; |
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String data = readFile(filename); |
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//Log.d("qqq", "\"" + data + "\""); |
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assertEquals(truth, data); |
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} |
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}
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