deepin-ocr/3rdparty/opencv-4.5.4/modules/ml/misc/java/test/MLTest.java
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

43 lines
1.2 KiB
Java

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