java tests: split test, minor improvements
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@ -65,14 +65,14 @@ public class OpenCVTestCase extends TestCase {
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dst = new Mat();
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assertTrue(dst.empty());
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gray0 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0.0));
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gray1 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(1.0));
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gray2 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(2.0));
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gray3 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(3.0));
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gray9 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(9.0));
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gray127 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(127.0));
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gray128 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(128.0));
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gray255 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255.0));
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gray0 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));
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gray1 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(1));
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gray2 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(2));
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gray3 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(3));
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gray9 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(9));
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gray127 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(127));
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gray128 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(128));
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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_16s_1024 = new Mat(matSize, matSize, CvType.CV_16S, new Scalar(1024));
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@ -34,6 +34,8 @@ public class OpenCVTestRunner extends InstrumentationTestRunner {
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public void onStart() {
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ExportResourceImage("lena.jpg", R.drawable.lena);
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ExportResourceImage("chessboard.jpg", R.drawable.chessboard);
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//FIXME: implement export of the cascade
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//List<TestCase> testCases = androidTestRunner.getTestCases();
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//Collections.shuffle(testCases); //shuffle the tests order
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@ -16,10 +16,10 @@ public class calib3dTest extends OpenCVTestCase {
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}
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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); rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945);
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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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Mat rvec2 = new Mat(3, 1, CvType.CV_32F); rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448);
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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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Mat tvec2 = new Mat(3, 1, CvType.CV_32F); tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002);
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Mat rvec3 = new Mat();
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Mat tvec3 = new Mat();
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@ -143,10 +143,10 @@ public class calib3dTest extends OpenCVTestCase {
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}
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public void testFilterSpecklesMatDoubleIntDouble() {
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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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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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core.circle(dst, center, 1, Scalar.all(4096));
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assertMatNotEqual(gray_16s_1024, dst);
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calib3d.filterSpeckles(dst, 1024.0, 100, 0.);
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assertMatEqual(gray_16s_1024, dst);
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@ -165,7 +165,7 @@ public class calib3dTest extends OpenCVTestCase {
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public void testFindChessboardCornersMatSizeMatInt() {
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Size patternSize = new Size(9, 6);
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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 + calib3d.CALIB_CB_NORMALIZE_IMAGE + calib3d.CALIB_CB_FAST_CHECK);
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assertTrue(!dst.empty());
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}
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@ -9,7 +9,6 @@ import org.opencv.Rect;
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import org.opencv.Scalar;
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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.OpenCVTestRunner;
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public class coreTest extends OpenCVTestCase {
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@ -311,12 +310,12 @@ public class coreTest extends OpenCVTestCase {
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Mat out2 = new Mat(1, 4, CvType.CV_32F);
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src.put(0, 0, 1, 2, 3, 4);
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out.put(0 , 0, 10, -2, 2, -2);
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out.put(0, 0, 10, -2, 2, -2);
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core.dft(src, dst, core.DFT_REAL_OUTPUT);
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assertMatEqual(out, dst);
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core.dft(src, dst, core.DFT_INVERSE);
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out2.put(0 , 0, 9, -9, 1, 3);
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out2.put(0, 0, 9, -9, 1, 3);
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assertMatEqual(out2, dst);
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}
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@ -325,7 +324,7 @@ public class coreTest extends OpenCVTestCase {
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Mat out = new Mat(1, 4, CvType.CV_32F);
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src.put(0, 0, 1, 2, 3, 4);
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out.put(0 , 0, 10, -2, 2, -2);
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out.put(0, 0, 10, -2, 2, -2);
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core.dft(src, dst, core.DFT_REAL_OUTPUT, 1);
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assertMatEqual(out, dst);
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}
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@ -1244,14 +1243,11 @@ public class coreTest extends OpenCVTestCase {
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}
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public void testSplit() {
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fail("Not yet implemented");
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//FIXME: must work
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//ArrayList<Mat> cois = new ArrayList<Mat>();
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//core.split(rgba0, cois);
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// for(Mat coi : cois) {
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// OpenCVTestRunner.Log(coi.toString());
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// //assertMatEqual(gray0, coi);
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// }
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ArrayList<Mat> cois = new ArrayList<Mat>();
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core.split(rgba0, cois);
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for(Mat coi : cois) {
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assertMatEqual(gray0, coi);
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}
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}
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public void testSqrt() {
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@ -1314,8 +1310,4 @@ public class coreTest extends OpenCVTestCase {
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assertTrue(subdst.total() == core.countNonZero(subdst));
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}
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public void testVconcat() {
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fail("Not yet implemented");
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}
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}
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