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Open Source Computer Vision Library
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48 lines
1.6 KiB
48 lines
1.6 KiB
package org.opencv.test.features2d; |
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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.core.KeyPoint; |
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import org.opencv.features2d.ORB; |
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import org.opencv.features2d.DescriptorMatcher; |
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import org.opencv.features2d.BOWImgDescriptorExtractor; |
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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 BOWImgDescriptorExtractorTest extends OpenCVTestCase { |
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ORB extractor; |
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DescriptorMatcher matcher; |
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int matSize; |
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public static void assertDescriptorsClose(Mat expected, Mat actual, int allowedDistance) { |
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double distance = Core.norm(expected, actual, Core.NORM_HAMMING); |
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assertTrue("expected:<" + allowedDistance + "> but was:<" + distance + ">", distance <= allowedDistance); |
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} |
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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 = ORB.create(); |
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matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE); |
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matSize = 100; |
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} |
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public void testCreate() { |
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BOWImgDescriptorExtractor bow = new BOWImgDescriptorExtractor(extractor, matcher); |
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} |
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}
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