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updated some java tests

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This commit is contained in:
Kirill Kornyakov 2011-07-15 11:00:32 +00:00
parent fae67e0b46
commit c1dab7bf6e
3 changed files with 43 additions and 144 deletions
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1
modules/java/android_test/src/org/opencv/test/core/MatTest.java
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@ -241,7 +241,6 @@ public class MatTest extends OpenCVTestCase {
public void testType() {
assertEquals(CvType.CV_8UC1, gray0.type());
//TODO: assertEquals(CvType.CV_8U, gray0.type());
assertEquals(CvType.CV_32FC1, gray0_32f.type());
assertEquals(CvType.CV_8UC3, rgbLena.type());
}

119
modules/java/android_test/src/org/opencv/test/core/coreTest.java
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@ -7,7 +7,6 @@ import org.opencv.Scalar;
import org.opencv.core;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
public class coreTest extends OpenCVTestCase {
@ -46,9 +45,9 @@ public class coreTest extends OpenCVTestCase {
}
public void testAddWeightedMatDoubleMatDoubleDoubleMatInt() {
core.addWeighted(gray1, 126.0, gray127, 1.0, 2.0, dst);//FIXME: #1224, CvType.CV_32F
core.addWeighted(gray1, 126.0, gray127, 1.0, 2.0, dst, CvType.CV_32F);
assertTrue(CvType.CV_32F == dst.depth());
//TODO: assertMatEqual(gray255_32f, dst);
assertMatEqual(gray255_32f, dst);
}
public void testBitwise_andMatMatMat() {
@ -95,7 +94,7 @@ public class coreTest extends OpenCVTestCase {
Mat covar = new Mat(matSize, matSize, CvType.CV_64FC1);
Mat mean = new Mat(1, matSize, CvType.CV_64FC1);
core.calcCovarMatrix(gray0_32f, covar, mean, 8|1); //TODO: CV_COVAR_NORMAL instead of magic numbers
core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/);
assertMatEqual(gray0_64f, covar);
assertMatEqual(gray0_64f_1d, mean);
}
@ -104,7 +103,7 @@ public class coreTest extends OpenCVTestCase {
Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
Mat mean = new Mat(1, matSize, CvType.CV_32F);
core.calcCovarMatrix(gray0_32f, covar, mean, 8|1, CvType.CV_32F); //FIXME: CV_COVAR_NORMAL
core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
assertMatEqual(gray0_32f, covar);
assertMatEqual(gray0_32f_1d, mean);
}
@ -117,12 +116,6 @@ public class coreTest extends OpenCVTestCase {
fail("Not yet implemented");
}
public void testCheckHardwareSupport() {
//XXX: core.checkHardwareSupport(feature)
//boolean hasFeauture = core.checkHardwareSupport(0);
//assertEquals(false, hasFeauture);
}
public void testCircleMatPointIntScalar() {
Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
int radius = Math.min(gray0.cols()/4, gray0.rows()/4);
@ -300,7 +293,6 @@ public class coreTest extends OpenCVTestCase {
public void testExp() {
Mat destination = new Mat(matSize, matSize, CvType.CV_32F); destination.setTo(new Scalar(0.0));
core.exp(gray0_32f, destination);
OpenCVTestRunner.Log(destination.dump());
assertMatEqual(gray1_32f, destination);
}
@ -381,8 +373,10 @@ public class coreTest extends OpenCVTestCase {
int vecsize = core.getOptimalDFTSize(0);
assertEquals(1, vecsize);
int largeVecSize = core.getOptimalDFTSize(32768);
assertTrue(largeVecSize < 0); //FIXME:fails why??
int largeVecSize = core.getOptimalDFTSize(133);
assertEquals(135, largeVecSize);
largeVecSize = core.getOptimalDFTSize(13);
assertEquals(15, largeVecSize);
}
public void testGetTickFrequency() {
@ -484,19 +478,13 @@ public class coreTest extends OpenCVTestCase {
}
public void testLog() {
//FIXME: why it fails for the above array!
// Mat in = new Mat(1, 4, Mat.CvType.CV_32FC1);
// Mat des = new Mat(1, 4, Mat.CvType.CV_32FC1);
// in.put(0, 0, 1.0, 2.0, 4.0,3.0);
// des.put(0,0, 0.0, 0.3010,0.6021,0.4771);
// assertMatEqual(des,dst_gray);
Mat in = new Mat(1, 4, CvType.CV_32FC1);
Mat desired = new Mat(1, 4, CvType.CV_32FC1);
in.put(0, 0, 1.0, 10.0, 100.0, 1000.0);
desired.put(0, 0, 0, 2.3025851, 4.6051702, 6.9077554);
Mat in = new Mat(1, 1, CvType.CV_32F);
Mat des = new Mat(1, 1, CvType.CV_32F);
in.put(0, 0, 1);
des.put(0,0, 0.0);
core.log(in, dst);
assertMatEqual(des, dst);
assertMatEqual(desired, dst);
}
public void testLUTMatMatMat() {
@ -527,7 +515,7 @@ public class coreTest extends OpenCVTestCase {
core.magnitude(x, y, dst_gray);
assertMatEqual(dst,dst_gray);
*/
//FIXME: fails for the above case, why?
//fails for the above case, why?
/*Mat x = new Mat(1, 1, Mat.CvType.CV_32FC1);
Mat y = new Mat(1, 1, Mat.CvType.CV_32FC1);
Mat dst = new Mat(1, 1, Mat.CvType.CV_32FC1);
@ -546,7 +534,7 @@ public class coreTest extends OpenCVTestCase {
public void testMahalanobis() {
Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
Mat mean = new Mat(1, matSize, CvType.CV_32F);
core.calcCovarMatrix(grayRnd_32f, covar, mean, 8|1, CvType.CV_32F); //TODO: CV_COVAR_NORMAL instead of magic numbers
core.calcCovarMatrix(grayRnd_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
covar.inv();
Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols());
@ -605,7 +593,7 @@ public class coreTest extends OpenCVTestCase {
public void testMulSpectrumsMatMatMatInt() {
//TODO: nice example
//nice example
fail("Not yet implemented");
}
@ -638,16 +626,16 @@ public class coreTest extends OpenCVTestCase {
core.mulTransposed(grayRnd_32f, dst, true, grayRnd_32f);
assertMatEqual(gray0_32f, dst);
Mat grayDelta = new Mat(matSize, matSize, CvType.CV_8U);
grayDelta.setTo(new Scalar(0.0001));
Mat grayDelta = new Mat(matSize, matSize, CvType.CV_32F);
grayDelta.setTo(new Scalar(0.0));
core.mulTransposed(grayE_32f, dst, true, grayDelta);
assertMatEqual(grayE_32f, dst);
}
public void testMulTransposedMatMatBooleanMatDouble() {
Mat grayDelta = new Mat(matSize, matSize, CvType.CV_8U);
grayDelta.setTo(new Scalar(0.0001));
core.mulTransposed(grayE_32f, dst, true, grayDelta, 1);//FIXME: what scale factor to use?!
Mat grayDelta = new Mat(matSize, matSize, CvType.CV_32F);
grayDelta.setTo(new Scalar(0.0));
core.mulTransposed(grayE_32f, dst, true, grayDelta, 1);
assertMatEqual(grayE_32f, dst);
}
@ -710,7 +698,7 @@ public class coreTest extends OpenCVTestCase {
}
public void testPerspectiveTransform() {
//TODO: nice example
//nice example
fail("Not yet implemented");
}
@ -785,11 +773,6 @@ public class coreTest extends OpenCVTestCase {
fail("Not yet implemented. Scalar type is not supported");
}
public void testSetUseOptimized() {
//XXX: core.setUseOptimized(onoff)
fail("Not yet implemented");
}
public void testSolveCubic() {
fail("Not yet implemented");
}
@ -831,19 +814,16 @@ public class coreTest extends OpenCVTestCase {
}
public void testSort() {
Mat matrix = new Mat(matSize, matSize, CvType.CV_8U);
matrix.setTo(new Scalar(0.0));
Mat submatrix = matrix.submat(0, matrix.rows() / 2, 0, matrix.cols() / 2);
submatrix.setTo(new Scalar(1.0));
Mat submat = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols() / 2);
submat.setTo(new Scalar(1.0));
core.sort(matrix, dst, 0); //FIXME: #define CV_SORT_EVERY_ROW 0
core.sort(gray0, dst, 0/*TODO: CV_SORT_EVERY_ROW*/);
submat = dst.submat(0, dst.rows() / 2, dst.cols() / 2, dst.cols());
assertTrue(submat.total() == core.countNonZero(submat));
Mat subdst = dst.submat(0, dst.rows() / 2, dst.cols() / 2, dst.cols());
assertTrue(subdst.total() == core.countNonZero(subdst));
core.sort(matrix, dst, 1); //FIXME: #define CV_SORT_EVERY_COLUMN 1
Mat subdst1 = dst.submat(dst.rows() / 2, dst.rows(), 0, dst.cols() / 2);
assertTrue(subdst1.total() == core.countNonZero(subdst1));
core.sort(gray0, dst, 1/*TODO: CV_SORT_EVERY_COLUMN*/);
submat = dst.submat(dst.rows() / 2, dst.rows(), 0, dst.cols() / 2);
assertTrue(submat.total() == core.countNonZero(submat));
}
public void testSortIdx() {
@ -870,15 +850,13 @@ public class coreTest extends OpenCVTestCase {
core.sqrt(gray9_32f, dst);
assertMatEqual(gray3_32f, dst);
//TODO: We can't use assertMatEqual with multi-channel mat
// Mat rgba144 = new Mat(matSize, matSize, Mat.CvType.CV_32FC4);
// Mat rgba12 = new Mat(matSize, matSize, Mat.CvType.CV_32FC4);
// Mat rgba_dst = new Mat(matSize, matSize, Mat.CvType.CV_32FC4);
// rgba144.setTo(144, 144, 144, 144);
// rgba12.setTo(12, 12, 12, 12);
// rgba_dst.setTo(0, 0, 0, 0);
// core.sqrt(rgba144, rgba_dst);
// //assertMatEqual(rgba12, rgba_dst);
Mat rgba144 = new Mat(matSize, matSize, CvType.CV_32FC4);
Mat rgba12 = new Mat(matSize, matSize, CvType.CV_32FC4);
rgba144.setTo(Scalar.all(144));
rgba12.setTo(Scalar.all(12));
core.sqrt(rgba144, dst);
assertMatEqual(rgba12, dst);
}
public void testSubtractMatMatMat() {
@ -887,27 +865,19 @@ public class coreTest extends OpenCVTestCase {
}
public void testSubtractMatMatMatMat() {
fail("Not yet implemented");
Mat mask = new Mat(matSize, matSize, CvType.CV_8U);
mask.setTo(new Scalar(0));
Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));
Mat submask = mask.submat(0, mask.rows() / 2, 0, mask.cols() / 2);
submask.setTo(new Scalar(1));
//FIXME: looks like a bug
OpenCVTestRunner.Log(" submask.total() = " + String.valueOf(submask.total()));
OpenCVTestRunner.Log(" 1: core.countNonZero(dst) = " + String.valueOf(core.countNonZero(dst)));
dst = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));
core.subtract(gray3, gray2, dst, mask);
OpenCVTestRunner.Log(" 2: core.countNonZero(dst) = " + String.valueOf(core.countNonZero(dst)));
assertTrue(submask.total() == core.countNonZero(dst));
}
public void testSubtractMatMatMatMatInt() {
fail("Not yet implemented");
// core.subtract(gray3, gray1, dst, gray1, gray255_32f.depth());
// OpenCVTestRunner.Log(" 3: dst.depth() = " + String.valueOf(dst.depth()));
// OpenCVTestRunner.Log(" 4: core.CV_32F = " + String.valueOf(CvType.CV_32F));
// //FIXME: assertTrue(CvType.CV_32F == dst.depth());
// //assertMatEqual(gray2, dst);
core.subtract(gray3, gray2, dst, gray1, CvType.CV_32F);
assertTrue(CvType.CV_32F == dst.depth());
assertMatEqual(gray1_32f, dst);
}
public void testTransform() {
@ -923,11 +893,6 @@ public class coreTest extends OpenCVTestCase {
assertTrue(subdst.total() == core.countNonZero(subdst));
}
public void testUseOptimized() {
//XXX: core.useOptimized()
fail("Not yet implemented");
}
public void testVconcat() {
fail("Not yet implemented");
}

65
modules/java/android_test/src/org/opencv/test/highgui/highguiTest.java
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@ -7,31 +7,6 @@ import org.opencv.test.OpenCVTestRunner;
public class highguiTest extends OpenCVTestCase {
public void testDestroyAllWindows() {
//XXX: highgui.destroyAllWindows()
fail("Not yet implemented");
}
public void testDestroyWindow() {
//XXX: highgui.destroyWindow(winname)
fail("Not yet implemented");
}
public void testGetTrackbarPos() {
//XXX: highgui.getTrackbarPos(trackbarname, winname)
fail("Not yet implemented");
}
public void testGetWindowProperty() {
//XXX: highgui.getWindowProperty(winname, prop_id)
fail("Not yet implemented");
}
public void testImdecode() {
//XXX: highgui.imdecode(buf, flags)
fail("Not yet implemented");
}
public void testImreadString() {
dst = highgui.imread(OpenCVTestRunner.LENA_PATH);
assertTrue(!dst.empty());
@ -48,44 +23,4 @@ public class highguiTest extends OpenCVTestCase {
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");
}
}