Added several Android tests
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26bd6b3f5f
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@ -8,7 +8,6 @@ import org.opencv.core.Scalar;
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import org.opencv.core.Core;
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import org.opencv.core.Core;
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import org.opencv.highgui.Highgui;
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import org.opencv.highgui.Highgui;
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public class OpenCVTestCase extends TestCase {
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public class OpenCVTestCase extends TestCase {
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protected static int matSize = 10;
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protected static int matSize = 10;
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@ -81,19 +80,24 @@ public class OpenCVTestCase extends TestCase {
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gray255 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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gray255 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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gray_16u_256 = new Mat(matSize, matSize, CvType.CV_16U, new Scalar(256));
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gray_16u_256 = new Mat(matSize, matSize, CvType.CV_16U, new Scalar(256));
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gray_16s_1024 = new Mat(matSize, matSize, CvType.CV_16S, new Scalar(1024));
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gray_16s_1024 = new Mat(matSize, matSize, CvType.CV_16S, new Scalar(
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1024));
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Mat low = new Mat(1, 1, CvType.CV_16UC1, new Scalar(0));
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Mat low = new Mat(1, 1, CvType.CV_16UC1, new Scalar(0));
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Mat high = new Mat(1, 1, CvType.CV_16UC1, new Scalar(256));
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Mat high = new Mat(1, 1, CvType.CV_16UC1, new Scalar(256));
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grayRnd = new Mat(matSize, matSize, CvType.CV_8U); Core.randu(grayRnd, low, high);
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grayRnd = new Mat(matSize, matSize, CvType.CV_8U);
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Core.randu(grayRnd, low, high);
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gray0_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(0.0));
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gray0_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(0.0));
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gray1_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(1.0));
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gray1_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(1.0));
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gray3_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(3.0));
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gray3_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(3.0));
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gray9_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(9.0));
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gray9_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(9.0));
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gray255_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(255.0));
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gray255_32f = new Mat(matSize, matSize, CvType.CV_32F,
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grayE_32f = new Mat(matSize, matSize, CvType.CV_32F); grayE_32f = Mat.eye(matSize, matSize, CvType.CV_32FC1);
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new Scalar(255.0));
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grayRnd_32f = new Mat(matSize, matSize, CvType.CV_32F); Core.randu(grayRnd_32f, low, high);
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grayE_32f = new Mat(matSize, matSize, CvType.CV_32F);
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grayE_32f = Mat.eye(matSize, matSize, CvType.CV_32FC1);
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grayRnd_32f = new Mat(matSize, matSize, CvType.CV_32F);
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Core.randu(grayRnd_32f, low, high);
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gray0_32f_1d = new Mat(1, matSize, CvType.CV_32F, new Scalar(0.0));
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gray0_32f_1d = new Mat(1, matSize, CvType.CV_32F, new Scalar(0.0));
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@ -106,8 +110,10 @@ public class OpenCVTestCase extends TestCase {
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rgbLena = Highgui.imread(OpenCVTestRunner.LENA_PATH);
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rgbLena = Highgui.imread(OpenCVTestRunner.LENA_PATH);
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grayChess = Highgui.imread(OpenCVTestRunner.CHESS_PATH, 0);
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grayChess = Highgui.imread(OpenCVTestRunner.CHESS_PATH, 0);
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v1 = new Mat(1, 3, CvType.CV_32F); v1.put(0, 0, 1.0, 3.0, 2.0);
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v1 = new Mat(1, 3, CvType.CV_32F);
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v2 = new Mat(1, 3, CvType.CV_32F); v2.put(0, 0, 2.0, 1.0, 3.0);
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v1.put(0, 0, 1.0, 3.0, 2.0);
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v2 = new Mat(1, 3, CvType.CV_32F);
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v2.put(0, 0, 2.0, 1.0, 3.0);
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}
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}
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public static void assertMatEqual(Mat m1, Mat m2) {
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public static void assertMatEqual(Mat m1, Mat m2) {
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@ -122,26 +128,22 @@ public class OpenCVTestCase extends TestCase {
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// OpenCVTestRunner.Log(m1.toString());
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// OpenCVTestRunner.Log(m1.toString());
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// OpenCVTestRunner.Log(m2.toString());
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// OpenCVTestRunner.Log(m2.toString());
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if (m1.type() != m2.type() ||
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if (m1.type() != m2.type() || m1.cols() != m2.cols()
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m1.cols() != m2.cols() || m1.rows() != m2.rows()) {
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|| m1.rows() != m2.rows()) {
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throw new UnsupportedOperationException();
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throw new UnsupportedOperationException();
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}
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} else if (m1.channels() == 1) {
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else if (m1.channels() == 1) {
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if (isEqualityMeasured) {
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if (isEqualityMeasured) {
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assertTrue(CalcPercentageOfDifference(m1, m2) == 0.0);
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assertTrue(CalcPercentageOfDifference(m1, m2) == 0.0);
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}
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} else {
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else {
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assertTrue(CalcPercentageOfDifference(m1, m2) != 0.0);
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assertTrue(CalcPercentageOfDifference(m1, m2) != 0.0);
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}
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}
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}
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} else {
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else {
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for (int coi = 0; coi < m1.channels(); coi++) {
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for (int coi = 0; coi < m1.channels(); coi++) {
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Mat m1c = getCOI(m1, coi);
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Mat m1c = getCOI(m1, coi);
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Mat m2c = getCOI(m2, coi);
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Mat m2c = getCOI(m2, coi);
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if (isEqualityMeasured) {
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if (isEqualityMeasured) {
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assertTrue(CalcPercentageOfDifference(m1c, m2c) == 0.0);
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assertTrue(CalcPercentageOfDifference(m1c, m2c) == 0.0);
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}
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} else {
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else {
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assertTrue(CalcPercentageOfDifference(m1c, m2c) != 0.0);
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assertTrue(CalcPercentageOfDifference(m1c, m2c) != 0.0);
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}
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}
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}
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}
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@ -152,8 +154,7 @@ public class OpenCVTestCase extends TestCase {
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Mat ch = new Mat(m.rows(), m.cols(), m.depth());
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Mat ch = new Mat(m.rows(), m.cols(), m.depth());
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for (int i = 0; i < m.rows(); i++)
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for (int i = 0; i < m.rows(); i++)
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for (int j = 0; j < m.cols(); j++)
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for (int j = 0; j < m.cols(); j++) {
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{
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double pixel[] = m.get(i, j);
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double pixel[] = m.get(i, j);
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ch.put(i, j, pixel[coi]);
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ch.put(i, j, pixel[coi]);
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}
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}
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@ -164,14 +165,15 @@ public class OpenCVTestCase extends TestCase {
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static private double CalcPercentageOfDifference(Mat m1, Mat m2) {
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static private double CalcPercentageOfDifference(Mat m1, Mat m2) {
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Mat cmp = new Mat(0, 0, CvType.CV_8U);
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Mat cmp = new Mat(0, 0, CvType.CV_8U);
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Core.compare(m1, m2, cmp, Core.CMP_EQ);
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Core.compare(m1, m2, cmp, Core.CMP_EQ);
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double difference = 100.0 *
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double difference = 100.0 * (1.0 - Double.valueOf(Core
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(1.0 - Double.valueOf(Core.countNonZero(cmp)) / Double.valueOf(cmp.rows() * cmp.cols()));
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.countNonZero(cmp)) / Double.valueOf(cmp.rows() * cmp.cols()));
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return difference;
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return difference;
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}
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}
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public void test_1(String label) {
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public void test_1(String label) {
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OpenCVTestRunner.Log("================================================");
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OpenCVTestRunner
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.Log("================================================");
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OpenCVTestRunner.Log("=============== " + label);
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OpenCVTestRunner.Log("=============== " + label);
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}
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}
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}
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}
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@ -28,16 +28,22 @@ public class calib3dTest extends OpenCVTestCase {
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}
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}
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public void testComposeRTMatMatMatMatMatMat() {
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public void testComposeRTMatMatMatMatMatMat() {
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Mat rvec1 = new Mat(3, 1, CvType.CV_32F); rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945);
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Mat rvec1 = new Mat(3, 1, CvType.CV_32F);
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Mat tvec1 = new Mat(3, 1, CvType.CV_32F); tvec1.put(0, 0, 0.81438506, 0.43713298, 0.2487897);
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rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945);
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Mat rvec2 = new Mat(3, 1, CvType.CV_32F); rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448);
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Mat tvec1 = new Mat(3, 1, CvType.CV_32F);
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Mat tvec2 = new Mat(3, 1, CvType.CV_32F); tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002);
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tvec1.put(0, 0, 0.81438506, 0.43713298, 0.2487897);
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Mat rvec2 = new Mat(3, 1, CvType.CV_32F);
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rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448);
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Mat tvec2 = new Mat(3, 1, CvType.CV_32F);
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tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002);
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Mat rvec3 = new Mat();
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Mat rvec3 = new Mat();
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Mat tvec3 = new Mat();
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Mat tvec3 = new Mat();
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Mat outRvec = new Mat(3, 1, CvType.CV_32F); outRvec.put(0, 0, 1.418641, 0.88665926, 0.56020796);
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Mat outRvec = new Mat(3, 1, CvType.CV_32F);
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Mat outTvec = new Mat(3, 1, CvType.CV_32F); outTvec.put(0, 0, 1.4560841, 1.0680628, 0.81598103);
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outRvec.put(0, 0, 1.418641, 0.88665926, 0.56020796);
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Mat outTvec = new Mat(3, 1, CvType.CV_32F);
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outTvec.put(0, 0, 1.4560841, 1.0680628, 0.81598103);
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Calib3d.composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3);
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Calib3d.composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3);
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@ -156,7 +162,8 @@ public class calib3dTest extends OpenCVTestCase {
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public void testFilterSpecklesMatDoubleIntDouble() {
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public void testFilterSpecklesMatDoubleIntDouble() {
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gray_16s_1024.copyTo(dst);
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gray_16s_1024.copyTo(dst);
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Point center = new Point(gray_16s_1024.rows()/2., gray_16s_1024.cols()/2.);
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Point center = new Point(gray_16s_1024.rows() / 2.,
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gray_16s_1024.cols() / 2.);
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Core.circle(dst, center, 1, Scalar.all(4096));
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Core.circle(dst, center, 1, Scalar.all(4096));
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assertMatNotEqual(gray_16s_1024, dst);
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assertMatNotEqual(gray_16s_1024, dst);
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@ -177,16 +184,64 @@ public class calib3dTest extends OpenCVTestCase {
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public void testFindChessboardCornersMatSizeMatInt() {
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public void testFindChessboardCornersMatSizeMatInt() {
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Size patternSize = new Size(9, 6);
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Size patternSize = new Size(9, 6);
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Calib3d.findChessboardCorners(grayChess, patternSize, dst,
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Calib3d.findChessboardCorners(grayChess, patternSize, dst,
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Calib3d.CALIB_CB_ADAPTIVE_THRESH + Calib3d.CALIB_CB_NORMALIZE_IMAGE + Calib3d.CALIB_CB_FAST_CHECK);
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Calib3d.CALIB_CB_ADAPTIVE_THRESH
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+ Calib3d.CALIB_CB_NORMALIZE_IMAGE
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+ Calib3d.CALIB_CB_FAST_CHECK);
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assertTrue(!dst.empty());
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assertTrue(!dst.empty());
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}
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}
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public void testFindCirclesGridDefaultMatSizeMat() {
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public void testFindCirclesGridDefaultMatSizeMat() {
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fail("Not yet implemented");
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int size = 300;
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Mat img = new Mat(size, size, CvType.CV_8U);
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img.setTo(new Scalar(255));
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Mat centers = new Mat();
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assertFalse(Calib3d
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.findCirclesGridDefault(img, new Size(5, 5), centers));
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for (int i = 0; i < 5; i++)
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for (int j = 0; j < 5; j++) {
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Point pt = new Point(size * (2 * i + 1) / 10, size
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* (2 * j + 1) / 10);
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Core.circle(img, pt, 10, new Scalar(0), -1);
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}
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org.opencv.highgui.Highgui.imwrite("/mnt/sdcard/test3.png", img);
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assertTrue(Calib3d.findCirclesGridDefault(img, new Size(5, 5), centers));
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assertEquals(25, centers.rows());
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assertEquals(1, centers.cols());
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assertEquals(CvType.CV_32FC2, centers.type());
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}
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}
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public void testFindCirclesGridDefaultMatSizeMatInt() {
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public void testFindCirclesGridDefaultMatSizeMatInt() {
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fail("Not yet implemented");
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int size = 300;
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Mat img = new Mat(size, size, CvType.CV_8U);
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img.setTo(new Scalar(255));
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Mat centers = new Mat();
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assertFalse(Calib3d.findCirclesGridDefault(img, new Size(3, 5),
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centers, Calib3d.CALIB_CB_CLUSTERING
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| Calib3d.CALIB_CB_ASYMMETRIC_GRID));
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int step = size * 2 / 15;
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int offsetx = size / 6;
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int offsety = (size - 4 * step) / 2;
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for (int i = 0; i < 3; i++)
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for (int j = 0; j < 5; j++) {
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Point pt = new Point(offsetx + (2 * i + j % 2) * step, offsety
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+ step * j);
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Core.circle(img, pt, 10, new Scalar(0), -1);
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}
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assertTrue(Calib3d.findCirclesGridDefault(img, new Size(3, 5), centers,
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Calib3d.CALIB_CB_CLUSTERING | Calib3d.CALIB_CB_ASYMMETRIC_GRID));
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assertEquals(15, centers.rows());
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assertEquals(1, centers.cols());
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assertEquals(CvType.CV_32FC2, centers.type());
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}
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}
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public void testFindFundamentalMatMatMat() {
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public void testFindFundamentalMatMatMat() {
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@ -1,5 +1,7 @@
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package org.opencv.test.core;
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package org.opencv.test.core;
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import org.opencv.core.Point;
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import org.opencv.core.Rect;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestCase;
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public class RectTest extends OpenCVTestCase {
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public class RectTest extends OpenCVTestCase {
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@ -21,7 +23,21 @@ public class RectTest extends OpenCVTestCase {
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}
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}
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public void testContains() {
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public void testContains() {
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fail("Not yet implemented");
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Rect r = new Rect(0,0,10,10);
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Point p_inner = new Point(5,5);
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Point p_outer = new Point(5,55);
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Point p_bl = new Point(0,0);
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Point p_br = new Point(10,0);
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Point p_tl = new Point(0,10);
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Point p_tr = new Point(10,10);
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assertTrue(r.contains(p_inner));
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assertTrue(r.contains(p_bl));
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assertFalse(r.contains(p_outer));
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assertFalse(r.contains(p_br));
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assertFalse(r.contains(p_tl));
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assertFalse(r.contains(p_tr));
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}
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}
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public void testEqualsObject() {
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public void testEqualsObject() {
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@ -2,6 +2,9 @@ package org.opencv.test.core;
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import java.util.ArrayList;
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import java.util.ArrayList;
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import org.hamcrest.core.IsInstanceOf;
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import org.junit.internal.runners.statements.ExpectException;
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import org.opencv.core.CvException;
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import org.opencv.core.CvType;
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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.Mat;
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import org.opencv.core.Point;
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import org.opencv.core.Point;
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@ -96,7 +99,10 @@ public class coreTest extends OpenCVTestCase {
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Mat covar = new Mat(matSize, matSize, CvType.CV_64FC1);
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Mat covar = new Mat(matSize, matSize, CvType.CV_64FC1);
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Mat mean = new Mat(1, matSize, CvType.CV_64FC1);
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Mat mean = new Mat(1, matSize, CvType.CV_64FC1);
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Core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/);
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Core.calcCovarMatrix(gray0_32f, covar, mean, 8 | 1/*
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* TODO:
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* CV_COVAR_NORMAL
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*/);
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assertMatEqual(gray0_64f, covar);
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assertMatEqual(gray0_64f, covar);
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assertMatEqual(gray0_64f_1d, mean);
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assertMatEqual(gray0_64f_1d, mean);
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}
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}
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@ -105,7 +111,10 @@ public class coreTest extends OpenCVTestCase {
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Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
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Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
|
||||||
Mat mean = new Mat(1, matSize, CvType.CV_32F);
|
Mat mean = new Mat(1, matSize, CvType.CV_32F);
|
||||||
|
|
||||||
Core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
|
Core.calcCovarMatrix(gray0_32f, covar, mean, 8 | 1/*
|
||||||
|
* TODO:
|
||||||
|
* CV_COVAR_NORMAL
|
||||||
|
*/, CvType.CV_32F);
|
||||||
assertMatEqual(gray0_32f, covar);
|
assertMatEqual(gray0_32f, covar);
|
||||||
assertMatEqual(gray0_32f_1d, mean);
|
assertMatEqual(gray0_32f_1d, mean);
|
||||||
}
|
}
|
||||||
@ -146,11 +155,29 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
}
|
}
|
||||||
|
|
||||||
public void testCheckRangeMat() {
|
public void testCheckRangeMat() {
|
||||||
fail("Not yet implemented");
|
Mat outOfRange = new Mat(2, 2, CvType.CV_64F);
|
||||||
|
outOfRange.put(0, 0, Double.NaN, Double.NEGATIVE_INFINITY,
|
||||||
|
Double.POSITIVE_INFINITY, 0);
|
||||||
|
|
||||||
|
assertTrue(Core.checkRange(grayRnd_32f));
|
||||||
|
assertTrue(Core.checkRange(new Mat()));
|
||||||
|
assertFalse(Core.checkRange(outOfRange));
|
||||||
}
|
}
|
||||||
|
|
||||||
public void testCheckRangeMatBoolean() {
|
public void testCheckRangeMatBoolean() {
|
||||||
fail("Not yet implemented");
|
Mat outOfRange = new Mat(2, 2, CvType.CV_64F);
|
||||||
|
outOfRange.put(0, 0, Double.NaN, Double.NEGATIVE_INFINITY,
|
||||||
|
Double.POSITIVE_INFINITY, 0);
|
||||||
|
|
||||||
|
assertFalse(Core.checkRange(outOfRange, true));
|
||||||
|
|
||||||
|
try {
|
||||||
|
Core.checkRange(outOfRange, false);
|
||||||
|
fail("Core.checkRange should throw the CvException");
|
||||||
|
} catch (Exception e) {
|
||||||
|
if (!(e instanceof CvException))
|
||||||
|
fail("Core.checkRange should throw the CvException");
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
public void testCheckRangeMatBooleanPoint() {
|
public void testCheckRangeMatBooleanPoint() {
|
||||||
@ -203,7 +230,11 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
Scalar color0 = new Scalar(0);
|
Scalar color0 = new Scalar(0);
|
||||||
|
|
||||||
assertTrue(0 == Core.countNonZero(gray0));
|
assertTrue(0 == Core.countNonZero(gray0));
|
||||||
Core.circle(gray0, center2, radius*2, color128, 2, 4, 1/*Number of fractional bits*/);
|
Core.circle(gray0, center2, radius * 2, color128, 2, 4, 1/*
|
||||||
|
* Number of
|
||||||
|
* fractional
|
||||||
|
* bits
|
||||||
|
*/);
|
||||||
Core.circle(gray0, center, radius, color0, 2, 4, 0);
|
Core.circle(gray0, center, radius, color0, 2, 4, 0);
|
||||||
assertTrue(0 == Core.countNonZero(gray0));
|
assertTrue(0 == Core.countNonZero(gray0));
|
||||||
}
|
}
|
||||||
@ -233,7 +264,6 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
assertEquals(pt2Clipped, pt2);
|
assertEquals(pt2Clipped, pt2);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
public void testCompare() {
|
public void testCompare() {
|
||||||
Core.compare(gray0, gray0, dst, Core.CMP_EQ);
|
Core.compare(gray0, gray0, dst, Core.CMP_EQ);
|
||||||
assertMatEqual(dst, gray255);
|
assertMatEqual(dst, gray255);
|
||||||
@ -311,10 +341,12 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
assertMatEqual(gray0_32f_1d, dst);
|
assertMatEqual(gray0_32f_1d, dst);
|
||||||
|
|
||||||
Mat in = new Mat(1, 8, CvType.CV_32F);
|
Mat in = new Mat(1, 8, CvType.CV_32F);
|
||||||
in.put(0, 0, 0.203056, 0.980407, 0.35312, -0.106651, 0.0399382, 0.871475, -0.648355, 0.501067);
|
in.put(0, 0, 0.203056, 0.980407, 0.35312, -0.106651, 0.0399382,
|
||||||
|
0.871475, -0.648355, 0.501067);
|
||||||
|
|
||||||
truth = new Mat(1, 8, CvType.CV_32F);
|
truth = new Mat(1, 8, CvType.CV_32F);
|
||||||
truth.put(0, 0, 0.77571625, 0.37270021, 0.18529896, 0.012146413, -0.32499927, -0.99302113, 0.55979407, -0.6251272);
|
truth.put(0, 0, 0.77571625, 0.37270021, 0.18529896, 0.012146413,
|
||||||
|
-0.32499927, -0.99302113, 0.55979407, -0.6251272);
|
||||||
|
|
||||||
Core.dct(in, dst);
|
Core.dct(in, dst);
|
||||||
assertMatEqual(truth, dst);
|
assertMatEqual(truth, dst);
|
||||||
@ -427,7 +459,8 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
}
|
}
|
||||||
|
|
||||||
public void testExp() {
|
public void testExp() {
|
||||||
Mat destination = new Mat(matSize, matSize, CvType.CV_32F); destination.setTo(new Scalar(0.0));
|
Mat destination = new Mat(matSize, matSize, CvType.CV_32F);
|
||||||
|
destination.setTo(new Scalar(0.0));
|
||||||
Core.exp(gray0_32f, destination);
|
Core.exp(gray0_32f, destination);
|
||||||
assertMatEqual(gray1_32f, destination);
|
assertMatEqual(gray1_32f, destination);
|
||||||
}
|
}
|
||||||
@ -584,7 +617,8 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
in.put(0, 0, 1.0, 2.0, 1.0, 0.0, 1.0, 2.0, 3.0, 1.0);
|
in.put(0, 0, 1.0, 2.0, 1.0, 0.0, 1.0, 2.0, 3.0, 1.0);
|
||||||
|
|
||||||
truth = new Mat(1, 8, CvType.CV_32F);
|
truth = new Mat(1, 8, CvType.CV_32F);
|
||||||
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907, -0.86502546, 0.028082132, -0.7673766, 0.10917115);
|
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907,
|
||||||
|
-0.86502546, 0.028082132, -0.7673766, 0.10917115);
|
||||||
|
|
||||||
Core.idct(in, dst);
|
Core.idct(in, dst);
|
||||||
assertMatEqual(truth, dst);
|
assertMatEqual(truth, dst);
|
||||||
@ -595,7 +629,8 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
in.put(0, 0, 1.0, 2.0, 1.0, 0.0, 1.0, 2.0, 3.0, 1.0);
|
in.put(0, 0, 1.0, 2.0, 1.0, 0.0, 1.0, 2.0, 3.0, 1.0);
|
||||||
|
|
||||||
truth = new Mat(1, 8, CvType.CV_32F);
|
truth = new Mat(1, 8, CvType.CV_32F);
|
||||||
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907, -0.86502546, 0.028082132, -0.7673766, 0.10917115);
|
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907,
|
||||||
|
-0.86502546, 0.028082132, -0.7673766, 0.10917115);
|
||||||
|
|
||||||
Core.idct(in, dst, Core.DCT_ROWS);
|
Core.idct(in, dst, Core.DCT_ROWS);
|
||||||
assertMatEqual(truth, dst);
|
assertMatEqual(truth, dst);
|
||||||
@ -769,7 +804,10 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
public void testMahalanobis() {
|
public void testMahalanobis() {
|
||||||
Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
|
Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
|
||||||
Mat mean = new Mat(1, matSize, CvType.CV_32F);
|
Mat mean = new Mat(1, matSize, CvType.CV_32F);
|
||||||
Core.calcCovarMatrix(grayRnd_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
|
Core.calcCovarMatrix(grayRnd_32f, covar, mean, 8 | 1/*
|
||||||
|
* TODO:
|
||||||
|
* CV_COVAR_NORMAL
|
||||||
|
*/, CvType.CV_32F);
|
||||||
covar.inv();
|
covar.inv();
|
||||||
|
|
||||||
Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols());
|
Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols());
|
||||||
@ -825,7 +863,8 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
assertEquals(0, Core.countNonZero(mean));
|
assertEquals(0, Core.countNonZero(mean));
|
||||||
assertEquals(0, Core.countNonZero(stddev));
|
assertEquals(0, Core.countNonZero(stddev));
|
||||||
|
|
||||||
Mat submat = grayRnd.submat(0, grayRnd.rows()/2, 0, grayRnd.cols()/2);
|
Mat submat = grayRnd.submat(0, grayRnd.rows() / 2, 0,
|
||||||
|
grayRnd.cols() / 2);
|
||||||
submat.setTo(new Scalar(33));
|
submat.setTo(new Scalar(33));
|
||||||
|
|
||||||
Mat mask = gray0.clone();
|
Mat mask = gray0.clone();
|
||||||
@ -867,7 +906,6 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
assertTrue(mmres.maxLoc.equals(maxLoc));
|
assertTrue(mmres.maxLoc.equals(maxLoc));
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
public void testMinMaxLocMat() {
|
public void testMinMaxLocMat() {
|
||||||
fail("Not yet implemented");
|
fail("Not yet implemented");
|
||||||
}
|
}
|
||||||
@ -1430,8 +1468,10 @@ public class coreTest extends OpenCVTestCase {
|
|||||||
|
|
||||||
public void testTranspose() {
|
public void testTranspose() {
|
||||||
Mat subgray0 = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols());
|
Mat subgray0 = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols());
|
||||||
Mat destination = new Mat(matSize, matSize, CvType.CV_8U); destination.setTo(new Scalar(0));
|
Mat destination = new Mat(matSize, matSize, CvType.CV_8U);
|
||||||
Mat subdst = destination.submat(0, destination.rows(), 0, destination.cols() / 2);
|
destination.setTo(new Scalar(0));
|
||||||
|
Mat subdst = destination.submat(0, destination.rows(), 0,
|
||||||
|
destination.cols() / 2);
|
||||||
subgray0.setTo(new Scalar(1));
|
subgray0.setTo(new Scalar(1));
|
||||||
Core.transpose(gray0, destination);
|
Core.transpose(gray0, destination);
|
||||||
assertTrue(subdst.total() == Core.countNonZero(subdst));
|
assertTrue(subdst.total() == Core.countNonZero(subdst));
|
||||||
|
Loading…
x
Reference in New Issue
Block a user