updated some java tests
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@ -241,7 +241,6 @@ public class MatTest extends OpenCVTestCase {
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public void testType() {
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public void testType() {
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assertEquals(CvType.CV_8UC1, gray0.type());
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assertEquals(CvType.CV_8UC1, gray0.type());
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//TODO: assertEquals(CvType.CV_8U, gray0.type());
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assertEquals(CvType.CV_32FC1, gray0_32f.type());
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assertEquals(CvType.CV_32FC1, gray0_32f.type());
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assertEquals(CvType.CV_8UC3, rgbLena.type());
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assertEquals(CvType.CV_8UC3, rgbLena.type());
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}
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}
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@ -7,7 +7,6 @@ import org.opencv.Scalar;
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import org.opencv.core;
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import org.opencv.core;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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public class coreTest extends OpenCVTestCase {
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public class coreTest extends OpenCVTestCase {
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@ -46,9 +45,9 @@ public class coreTest extends OpenCVTestCase {
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}
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}
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public void testAddWeightedMatDoubleMatDoubleDoubleMatInt() {
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public void testAddWeightedMatDoubleMatDoubleDoubleMatInt() {
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core.addWeighted(gray1, 126.0, gray127, 1.0, 2.0, dst);//FIXME: #1224, CvType.CV_32F
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core.addWeighted(gray1, 126.0, gray127, 1.0, 2.0, dst, CvType.CV_32F);
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assertTrue(CvType.CV_32F == dst.depth());
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assertTrue(CvType.CV_32F == dst.depth());
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//TODO: assertMatEqual(gray255_32f, dst);
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assertMatEqual(gray255_32f, dst);
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}
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}
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public void testBitwise_andMatMatMat() {
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public void testBitwise_andMatMatMat() {
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@ -95,7 +94,7 @@ 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 instead of magic numbers
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core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/);
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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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@ -104,7 +103,7 @@ 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);
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Mat mean = new Mat(1, matSize, CvType.CV_32F);
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Mat mean = new Mat(1, matSize, CvType.CV_32F);
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core.calcCovarMatrix(gray0_32f, covar, mean, 8|1, CvType.CV_32F); //FIXME: CV_COVAR_NORMAL
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core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
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assertMatEqual(gray0_32f, covar);
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assertMatEqual(gray0_32f, covar);
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assertMatEqual(gray0_32f_1d, mean);
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assertMatEqual(gray0_32f_1d, mean);
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}
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}
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@ -117,12 +116,6 @@ public class coreTest extends OpenCVTestCase {
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fail("Not yet implemented");
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fail("Not yet implemented");
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}
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}
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public void testCheckHardwareSupport() {
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//XXX: core.checkHardwareSupport(feature)
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//boolean hasFeauture = core.checkHardwareSupport(0);
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//assertEquals(false, hasFeauture);
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}
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public void testCircleMatPointIntScalar() {
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public void testCircleMatPointIntScalar() {
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Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
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Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
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int radius = Math.min(gray0.cols()/4, gray0.rows()/4);
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int radius = Math.min(gray0.cols()/4, gray0.rows()/4);
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@ -300,7 +293,6 @@ public class coreTest extends OpenCVTestCase {
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public void testExp() {
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public void testExp() {
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Mat destination = new Mat(matSize, matSize, CvType.CV_32F); destination.setTo(new Scalar(0.0));
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Mat destination = new Mat(matSize, matSize, CvType.CV_32F); destination.setTo(new Scalar(0.0));
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core.exp(gray0_32f, destination);
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core.exp(gray0_32f, destination);
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OpenCVTestRunner.Log(destination.dump());
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assertMatEqual(gray1_32f, destination);
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assertMatEqual(gray1_32f, destination);
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}
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}
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@ -381,8 +373,10 @@ public class coreTest extends OpenCVTestCase {
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int vecsize = core.getOptimalDFTSize(0);
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int vecsize = core.getOptimalDFTSize(0);
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assertEquals(1, vecsize);
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assertEquals(1, vecsize);
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int largeVecSize = core.getOptimalDFTSize(32768);
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int largeVecSize = core.getOptimalDFTSize(133);
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assertTrue(largeVecSize < 0); //FIXME:fails why??
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assertEquals(135, largeVecSize);
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largeVecSize = core.getOptimalDFTSize(13);
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assertEquals(15, largeVecSize);
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}
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}
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public void testGetTickFrequency() {
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public void testGetTickFrequency() {
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@ -484,19 +478,13 @@ public class coreTest extends OpenCVTestCase {
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}
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}
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public void testLog() {
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public void testLog() {
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//FIXME: why it fails for the above array!
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Mat in = new Mat(1, 4, CvType.CV_32FC1);
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// Mat in = new Mat(1, 4, Mat.CvType.CV_32FC1);
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Mat desired = new Mat(1, 4, CvType.CV_32FC1);
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// Mat des = new Mat(1, 4, Mat.CvType.CV_32FC1);
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in.put(0, 0, 1.0, 10.0, 100.0, 1000.0);
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// in.put(0, 0, 1.0, 2.0, 4.0,3.0);
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desired.put(0, 0, 0, 2.3025851, 4.6051702, 6.9077554);
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// des.put(0,0, 0.0, 0.3010,0.6021,0.4771);
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// assertMatEqual(des,dst_gray);
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Mat in = new Mat(1, 1, CvType.CV_32F);
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Mat des = new Mat(1, 1, CvType.CV_32F);
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in.put(0, 0, 1);
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des.put(0,0, 0.0);
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core.log(in, dst);
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core.log(in, dst);
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assertMatEqual(des, dst);
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assertMatEqual(desired, dst);
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}
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}
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public void testLUTMatMatMat() {
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public void testLUTMatMatMat() {
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@ -527,7 +515,7 @@ public class coreTest extends OpenCVTestCase {
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core.magnitude(x, y, dst_gray);
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core.magnitude(x, y, dst_gray);
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assertMatEqual(dst,dst_gray);
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assertMatEqual(dst,dst_gray);
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*/
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*/
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//FIXME: fails for the above case, why?
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//fails for the above case, why?
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/*Mat x = new Mat(1, 1, Mat.CvType.CV_32FC1);
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/*Mat x = new Mat(1, 1, Mat.CvType.CV_32FC1);
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Mat y = new Mat(1, 1, Mat.CvType.CV_32FC1);
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Mat y = new Mat(1, 1, Mat.CvType.CV_32FC1);
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Mat dst = new Mat(1, 1, Mat.CvType.CV_32FC1);
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Mat dst = new Mat(1, 1, Mat.CvType.CV_32FC1);
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@ -546,7 +534,7 @@ public class coreTest extends OpenCVTestCase {
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public void testMahalanobis() {
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public void testMahalanobis() {
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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);
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Mat mean = new Mat(1, matSize, CvType.CV_32F);
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Mat mean = new Mat(1, matSize, CvType.CV_32F);
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core.calcCovarMatrix(grayRnd_32f, covar, mean, 8|1, CvType.CV_32F); //TODO: CV_COVAR_NORMAL instead of magic numbers
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core.calcCovarMatrix(grayRnd_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
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covar.inv();
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covar.inv();
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Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols());
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Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols());
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@ -605,7 +593,7 @@ public class coreTest extends OpenCVTestCase {
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public void testMulSpectrumsMatMatMatInt() {
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public void testMulSpectrumsMatMatMatInt() {
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//TODO: nice example
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//nice example
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fail("Not yet implemented");
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fail("Not yet implemented");
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}
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}
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@ -638,16 +626,16 @@ public class coreTest extends OpenCVTestCase {
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core.mulTransposed(grayRnd_32f, dst, true, grayRnd_32f);
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core.mulTransposed(grayRnd_32f, dst, true, grayRnd_32f);
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assertMatEqual(gray0_32f, dst);
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assertMatEqual(gray0_32f, dst);
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Mat grayDelta = new Mat(matSize, matSize, CvType.CV_8U);
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Mat grayDelta = new Mat(matSize, matSize, CvType.CV_32F);
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grayDelta.setTo(new Scalar(0.0001));
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grayDelta.setTo(new Scalar(0.0));
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core.mulTransposed(grayE_32f, dst, true, grayDelta);
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core.mulTransposed(grayE_32f, dst, true, grayDelta);
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assertMatEqual(grayE_32f, dst);
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assertMatEqual(grayE_32f, dst);
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}
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}
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public void testMulTransposedMatMatBooleanMatDouble() {
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public void testMulTransposedMatMatBooleanMatDouble() {
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Mat grayDelta = new Mat(matSize, matSize, CvType.CV_8U);
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Mat grayDelta = new Mat(matSize, matSize, CvType.CV_32F);
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grayDelta.setTo(new Scalar(0.0001));
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grayDelta.setTo(new Scalar(0.0));
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core.mulTransposed(grayE_32f, dst, true, grayDelta, 1);//FIXME: what scale factor to use?!
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core.mulTransposed(grayE_32f, dst, true, grayDelta, 1);
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assertMatEqual(grayE_32f, dst);
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assertMatEqual(grayE_32f, dst);
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}
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}
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@ -710,7 +698,7 @@ public class coreTest extends OpenCVTestCase {
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}
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}
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public void testPerspectiveTransform() {
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public void testPerspectiveTransform() {
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//TODO: nice example
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//nice example
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fail("Not yet implemented");
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fail("Not yet implemented");
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}
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}
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@ -785,11 +773,6 @@ public class coreTest extends OpenCVTestCase {
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fail("Not yet implemented. Scalar type is not supported");
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fail("Not yet implemented. Scalar type is not supported");
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}
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}
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public void testSetUseOptimized() {
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//XXX: core.setUseOptimized(onoff)
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fail("Not yet implemented");
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}
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public void testSolveCubic() {
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public void testSolveCubic() {
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fail("Not yet implemented");
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fail("Not yet implemented");
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}
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}
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@ -831,19 +814,16 @@ public class coreTest extends OpenCVTestCase {
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}
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}
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public void testSort() {
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public void testSort() {
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Mat matrix = new Mat(matSize, matSize, CvType.CV_8U);
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Mat submat = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols() / 2);
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matrix.setTo(new Scalar(0.0));
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submat.setTo(new Scalar(1.0));
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Mat submatrix = matrix.submat(0, matrix.rows() / 2, 0, matrix.cols() / 2);
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submatrix.setTo(new Scalar(1.0));
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core.sort(matrix, dst, 0); //FIXME: #define CV_SORT_EVERY_ROW 0
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core.sort(gray0, dst, 0/*TODO: CV_SORT_EVERY_ROW*/);
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submat = dst.submat(0, dst.rows() / 2, dst.cols() / 2, dst.cols());
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assertTrue(submat.total() == core.countNonZero(submat));
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Mat subdst = dst.submat(0, dst.rows() / 2, dst.cols() / 2, dst.cols());
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core.sort(gray0, dst, 1/*TODO: CV_SORT_EVERY_COLUMN*/);
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assertTrue(subdst.total() == core.countNonZero(subdst));
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submat = dst.submat(dst.rows() / 2, dst.rows(), 0, dst.cols() / 2);
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assertTrue(submat.total() == core.countNonZero(submat));
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core.sort(matrix, dst, 1); //FIXME: #define CV_SORT_EVERY_COLUMN 1
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Mat subdst1 = dst.submat(dst.rows() / 2, dst.rows(), 0, dst.cols() / 2);
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assertTrue(subdst1.total() == core.countNonZero(subdst1));
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}
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}
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public void testSortIdx() {
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public void testSortIdx() {
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@ -870,15 +850,13 @@ public class coreTest extends OpenCVTestCase {
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core.sqrt(gray9_32f, dst);
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core.sqrt(gray9_32f, dst);
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assertMatEqual(gray3_32f, dst);
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assertMatEqual(gray3_32f, dst);
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//TODO: We can't use assertMatEqual with multi-channel mat
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Mat rgba144 = new Mat(matSize, matSize, CvType.CV_32FC4);
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// Mat rgba144 = new Mat(matSize, matSize, Mat.CvType.CV_32FC4);
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Mat rgba12 = new Mat(matSize, matSize, CvType.CV_32FC4);
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// Mat rgba12 = new Mat(matSize, matSize, Mat.CvType.CV_32FC4);
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rgba144.setTo(Scalar.all(144));
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// Mat rgba_dst = new Mat(matSize, matSize, Mat.CvType.CV_32FC4);
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rgba12.setTo(Scalar.all(12));
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// rgba144.setTo(144, 144, 144, 144);
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// rgba12.setTo(12, 12, 12, 12);
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core.sqrt(rgba144, dst);
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// rgba_dst.setTo(0, 0, 0, 0);
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assertMatEqual(rgba12, dst);
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// core.sqrt(rgba144, rgba_dst);
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// //assertMatEqual(rgba12, rgba_dst);
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}
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}
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public void testSubtractMatMatMat() {
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public void testSubtractMatMatMat() {
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@ -887,27 +865,19 @@ public class coreTest extends OpenCVTestCase {
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}
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}
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public void testSubtractMatMatMatMat() {
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public void testSubtractMatMatMatMat() {
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fail("Not yet implemented");
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Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));
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Mat mask = new Mat(matSize, matSize, CvType.CV_8U);
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mask.setTo(new Scalar(0));
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Mat submask = mask.submat(0, mask.rows() / 2, 0, mask.cols() / 2);
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Mat submask = mask.submat(0, mask.rows() / 2, 0, mask.cols() / 2);
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submask.setTo(new Scalar(1));
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submask.setTo(new Scalar(1));
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//FIXME: looks like a bug
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dst = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));
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OpenCVTestRunner.Log(" submask.total() = " + String.valueOf(submask.total()));
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OpenCVTestRunner.Log(" 1: core.countNonZero(dst) = " + String.valueOf(core.countNonZero(dst)));
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core.subtract(gray3, gray2, dst, mask);
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core.subtract(gray3, gray2, dst, mask);
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OpenCVTestRunner.Log(" 2: core.countNonZero(dst) = " + String.valueOf(core.countNonZero(dst)));
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assertTrue(submask.total() == core.countNonZero(dst));
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assertTrue(submask.total() == core.countNonZero(dst));
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}
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}
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public void testSubtractMatMatMatMatInt() {
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public void testSubtractMatMatMatMatInt() {
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fail("Not yet implemented");
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core.subtract(gray3, gray2, dst, gray1, CvType.CV_32F);
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// core.subtract(gray3, gray1, dst, gray1, gray255_32f.depth());
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assertTrue(CvType.CV_32F == dst.depth());
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// OpenCVTestRunner.Log(" 3: dst.depth() = " + String.valueOf(dst.depth()));
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assertMatEqual(gray1_32f, dst);
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// OpenCVTestRunner.Log(" 4: core.CV_32F = " + String.valueOf(CvType.CV_32F));
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// //FIXME: assertTrue(CvType.CV_32F == dst.depth());
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// //assertMatEqual(gray2, dst);
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}
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}
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public void testTransform() {
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public void testTransform() {
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@ -923,11 +893,6 @@ public class coreTest extends OpenCVTestCase {
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assertTrue(subdst.total() == core.countNonZero(subdst));
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assertTrue(subdst.total() == core.countNonZero(subdst));
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}
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}
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public void testUseOptimized() {
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//XXX: core.useOptimized()
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fail("Not yet implemented");
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}
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public void testVconcat() {
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public void testVconcat() {
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fail("Not yet implemented");
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fail("Not yet implemented");
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}
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}
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@ -7,31 +7,6 @@ import org.opencv.test.OpenCVTestRunner;
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public class highguiTest extends OpenCVTestCase {
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public class highguiTest extends OpenCVTestCase {
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public void testDestroyAllWindows() {
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//XXX: highgui.destroyAllWindows()
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fail("Not yet implemented");
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}
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public void testDestroyWindow() {
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//XXX: highgui.destroyWindow(winname)
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fail("Not yet implemented");
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}
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public void testGetTrackbarPos() {
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//XXX: highgui.getTrackbarPos(trackbarname, winname)
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fail("Not yet implemented");
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}
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public void testGetWindowProperty() {
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//XXX: highgui.getWindowProperty(winname, prop_id)
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fail("Not yet implemented");
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}
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public void testImdecode() {
|
|
||||||
//XXX: highgui.imdecode(buf, flags)
|
|
||||||
fail("Not yet implemented");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testImreadString() {
|
public void testImreadString() {
|
||||||
dst = highgui.imread(OpenCVTestRunner.LENA_PATH);
|
dst = highgui.imread(OpenCVTestRunner.LENA_PATH);
|
||||||
assertTrue(!dst.empty());
|
assertTrue(!dst.empty());
|
||||||
@ -48,44 +23,4 @@ public class highguiTest extends OpenCVTestCase {
|
|||||||
assertTrue(512 == dst.rows());
|
assertTrue(512 == dst.rows());
|
||||||
}
|
}
|
||||||
|
|
||||||
public void testImshow() {
|
|
||||||
//XXX: highgui.imshow(winname, mat)
|
|
||||||
fail("Not yet implemented");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testNamedWindowString() {
|
|
||||||
//XXX: highgui.namedWindow(winname)
|
|
||||||
fail("Do not export this function");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testNamedWindowStringInt() {
|
|
||||||
//XXX: highgui.namedWindow(winname, flags)
|
|
||||||
fail("Do not export this function");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testSetTrackbarPos() {
|
|
||||||
//XXX: highgui.setTrackbarPos(trackbarname, winname, pos)
|
|
||||||
fail("Not yet implemented");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testSetWindowProperty() {
|
|
||||||
//XXX: highgui.setWindowProperty(winname, prop_id, prop_value)
|
|
||||||
fail("Not yet implemented");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testStartWindowThread() {
|
|
||||||
//XXX: highgui.startWindowThread()
|
|
||||||
fail("Do not export this function");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testWaitKey() {
|
|
||||||
//XXX: highgui.waitKey()
|
|
||||||
fail("Not yet implemented");
|
|
||||||
}
|
|
||||||
|
|
||||||
public void testWaitKeyInt() {
|
|
||||||
//XXX: highgui.waitKey(delay)
|
|
||||||
fail("Not yet implemented");
|
|
||||||
}
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
Loading…
x
Reference in New Issue
Block a user