43 lines
1.2 KiB
Java
43 lines
1.2 KiB
Java
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package org.opencv.test.ml;
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import org.opencv.ml.Ml;
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import org.opencv.ml.SVM;
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import org.opencv.core.Mat;
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import org.opencv.core.MatOfFloat;
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import org.opencv.core.MatOfInt;
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import org.opencv.core.CvType;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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public class MLTest extends OpenCVTestCase {
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public void testSaveLoad() {
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Mat samples = new MatOfFloat(new float[] {
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5.1f, 3.5f, 1.4f, 0.2f,
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4.9f, 3.0f, 1.4f, 0.2f,
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4.7f, 3.2f, 1.3f, 0.2f,
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4.6f, 3.1f, 1.5f, 0.2f,
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5.0f, 3.6f, 1.4f, 0.2f,
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7.0f, 3.2f, 4.7f, 1.4f,
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6.4f, 3.2f, 4.5f, 1.5f,
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6.9f, 3.1f, 4.9f, 1.5f,
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5.5f, 2.3f, 4.0f, 1.3f,
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6.5f, 2.8f, 4.6f, 1.5f
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}).reshape(1, 10);
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Mat responses = new MatOfInt(new int[] {
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0, 0, 0, 0, 0, 1, 1, 1, 1, 1
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}).reshape(1, 10);
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SVM saved = SVM.create();
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assertFalse(saved.isTrained());
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saved.train(samples, Ml.ROW_SAMPLE, responses);
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assertTrue(saved.isTrained());
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String filename = OpenCVTestRunner.getTempFileName("yml");
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saved.save(filename);
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SVM loaded = SVM.load(filename);
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assertTrue(loaded.isTrained());
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}
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}
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