updated some java tests
This commit is contained in:
		| @@ -241,7 +241,6 @@ public class MatTest extends OpenCVTestCase { | |||||||
|  |  | ||||||
| 	public void testType() { | 	public void testType() { | ||||||
| 		assertEquals(CvType.CV_8UC1, gray0.type()); | 		assertEquals(CvType.CV_8UC1, gray0.type()); | ||||||
| 		//TODO: assertEquals(CvType.CV_8U, gray0.type()); |  | ||||||
| 		assertEquals(CvType.CV_32FC1, gray0_32f.type()); | 		assertEquals(CvType.CV_32FC1, gray0_32f.type()); | ||||||
| 		assertEquals(CvType.CV_8UC3, rgbLena.type()); | 		assertEquals(CvType.CV_8UC3, rgbLena.type()); | ||||||
| 	} | 	} | ||||||
|   | |||||||
| @@ -7,7 +7,6 @@ import org.opencv.Scalar; | |||||||
| import org.opencv.core; | import org.opencv.core; | ||||||
|  |  | ||||||
| import org.opencv.test.OpenCVTestCase; | import org.opencv.test.OpenCVTestCase; | ||||||
| import org.opencv.test.OpenCVTestRunner; |  | ||||||
|  |  | ||||||
| public class coreTest extends OpenCVTestCase { | public class coreTest extends OpenCVTestCase { | ||||||
| 	 | 	 | ||||||
| @@ -46,9 +45,9 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testAddWeightedMatDoubleMatDoubleDoubleMatInt() { | 	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()); | 		assertTrue(CvType.CV_32F == dst.depth()); | ||||||
| 		//TODO: assertMatEqual(gray255_32f, dst); | 		assertMatEqual(gray255_32f, dst); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testBitwise_andMatMatMat() { | 	public void testBitwise_andMatMatMat() { | ||||||
| @@ -95,7 +94,7 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		Mat covar = new Mat(matSize, matSize, CvType.CV_64FC1); | 		Mat covar = new Mat(matSize, matSize, CvType.CV_64FC1); | ||||||
| 		Mat mean = new Mat(1, 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, covar); | ||||||
| 		assertMatEqual(gray0_64f_1d, mean); | 		assertMatEqual(gray0_64f_1d, mean); | ||||||
| 	} | 	} | ||||||
| @@ -104,7 +103,7 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		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(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, covar); | ||||||
| 		assertMatEqual(gray0_32f_1d, mean); | 		assertMatEqual(gray0_32f_1d, mean); | ||||||
| 	} | 	} | ||||||
| @@ -117,12 +116,6 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		fail("Not yet implemented"); | 		fail("Not yet implemented"); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testCheckHardwareSupport() { |  | ||||||
| 		//XXX: core.checkHardwareSupport(feature) |  | ||||||
| 		//boolean hasFeauture = core.checkHardwareSupport(0); |  | ||||||
| 		//assertEquals(false, hasFeauture); |  | ||||||
| 	} |  | ||||||
|  |  | ||||||
| 	public void testCircleMatPointIntScalar() { | 	public void testCircleMatPointIntScalar() { | ||||||
| 		Point center = new Point(gray0.cols() / 2, gray0.rows()/2); | 		Point center = new Point(gray0.cols() / 2, gray0.rows()/2); | ||||||
| 		int radius = Math.min(gray0.cols()/4, gray0.rows()/4); | 		int radius = Math.min(gray0.cols()/4, gray0.rows()/4); | ||||||
| @@ -300,7 +293,6 @@ 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); | ||||||
| 		OpenCVTestRunner.Log(destination.dump()); |  | ||||||
| 		assertMatEqual(gray1_32f, destination);		 | 		assertMatEqual(gray1_32f, destination);		 | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| @@ -381,8 +373,10 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		int vecsize = core.getOptimalDFTSize(0); | 		int vecsize = core.getOptimalDFTSize(0); | ||||||
| 		assertEquals(1, vecsize); | 		assertEquals(1, vecsize); | ||||||
| 		 | 		 | ||||||
| 		int largeVecSize = core.getOptimalDFTSize(32768); | 		int largeVecSize = core.getOptimalDFTSize(133); | ||||||
| 		assertTrue(largeVecSize < 0);	//FIXME:fails why?? | 		assertEquals(135, largeVecSize); | ||||||
|  | 		largeVecSize = core.getOptimalDFTSize(13); | ||||||
|  | 		assertEquals(15, largeVecSize); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testGetTickFrequency() { | 	public void testGetTickFrequency() { | ||||||
| @@ -484,19 +478,13 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testLog() { | 	public void testLog() { | ||||||
| 		//FIXME: why it fails for the above array! | 		Mat in = new Mat(1, 4, CvType.CV_32FC1); | ||||||
| //		Mat in = new Mat(1, 4, Mat.CvType.CV_32FC1); | 		Mat desired = new Mat(1, 4, CvType.CV_32FC1); | ||||||
| //		Mat des = new Mat(1, 4, Mat.CvType.CV_32FC1); | 		in.put(0, 0, 1.0, 10.0, 100.0, 1000.0); | ||||||
| //		in.put(0, 0, 1.0, 2.0, 4.0,3.0); | 		desired.put(0, 0, 0, 2.3025851, 4.6051702, 6.9077554); | ||||||
| //		des.put(0,0, 0.0, 0.3010,0.6021,0.4771); |  | ||||||
| //		assertMatEqual(des,dst_gray); |  | ||||||
| 		 | 		 | ||||||
| 		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); | 		core.log(in, dst); | ||||||
| 		assertMatEqual(des, dst); | 		assertMatEqual(desired, dst); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testLUTMatMatMat() { | 	public void testLUTMatMatMat() { | ||||||
| @@ -527,7 +515,7 @@ public class coreTest extends OpenCVTestCase { | |||||||
|         core.magnitude(x, y, dst_gray); |         core.magnitude(x, y, dst_gray); | ||||||
|         assertMatEqual(dst,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 x = new Mat(1, 1, Mat.CvType.CV_32FC1); | ||||||
| 		Mat y = 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); | 		Mat dst = new Mat(1, 1, Mat.CvType.CV_32FC1); | ||||||
| @@ -546,7 +534,7 @@ 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, 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(); | 		covar.inv(); | ||||||
| 		 | 		 | ||||||
| 		Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols()); | 		Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols()); | ||||||
| @@ -605,7 +593,7 @@ public class coreTest extends OpenCVTestCase { | |||||||
|  |  | ||||||
|  |  | ||||||
| 	public void testMulSpectrumsMatMatMatInt() { | 	public void testMulSpectrumsMatMatMatInt() { | ||||||
| 		//TODO: nice example | 		//nice example | ||||||
| 		fail("Not yet implemented"); | 		fail("Not yet implemented"); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| @@ -638,16 +626,16 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		core.mulTransposed(grayRnd_32f, dst, true, grayRnd_32f); | 		core.mulTransposed(grayRnd_32f, dst, true, grayRnd_32f); | ||||||
| 		assertMatEqual(gray0_32f, dst); | 		assertMatEqual(gray0_32f, dst); | ||||||
|  |  | ||||||
| 		Mat grayDelta = new Mat(matSize, matSize, CvType.CV_8U); | 		Mat grayDelta = new Mat(matSize, matSize, CvType.CV_32F); | ||||||
|         grayDelta.setTo(new Scalar(0.0001)); |         grayDelta.setTo(new Scalar(0.0)); | ||||||
| 		core.mulTransposed(grayE_32f, dst, true, grayDelta); | 		core.mulTransposed(grayE_32f, dst, true, grayDelta); | ||||||
| 		assertMatEqual(grayE_32f, dst); | 		assertMatEqual(grayE_32f, dst); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testMulTransposedMatMatBooleanMatDouble() { | 	public void testMulTransposedMatMatBooleanMatDouble() { | ||||||
| 		Mat grayDelta = new Mat(matSize, matSize, CvType.CV_8U); | 		Mat grayDelta = new Mat(matSize, matSize, CvType.CV_32F); | ||||||
| 		grayDelta.setTo(new Scalar(0.0001)); | 		grayDelta.setTo(new Scalar(0.0)); | ||||||
| 		core.mulTransposed(grayE_32f, dst, true, grayDelta, 1);//FIXME: what scale factor to use?! | 		core.mulTransposed(grayE_32f, dst, true, grayDelta, 1); | ||||||
| 		assertMatEqual(grayE_32f, dst); | 		assertMatEqual(grayE_32f, dst); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| @@ -710,7 +698,7 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testPerspectiveTransform() { | 	public void testPerspectiveTransform() { | ||||||
| 		//TODO: nice example | 		//nice example | ||||||
| 		fail("Not yet implemented"); | 		fail("Not yet implemented"); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| @@ -785,11 +773,6 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		fail("Not yet implemented. Scalar type is not supported"); | 		fail("Not yet implemented. Scalar type is not supported"); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testSetUseOptimized() { |  | ||||||
| 		//XXX: core.setUseOptimized(onoff) |  | ||||||
| 		fail("Not yet implemented"); |  | ||||||
| 	} |  | ||||||
|  |  | ||||||
| 	public void testSolveCubic() { | 	public void testSolveCubic() { | ||||||
| 		fail("Not yet implemented"); | 		fail("Not yet implemented"); | ||||||
| 	} | 	} | ||||||
| @@ -831,19 +814,16 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testSort() { | 	public void testSort() { | ||||||
| 		Mat matrix = new Mat(matSize, matSize, CvType.CV_8U);  | 		Mat submat = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols() / 2); | ||||||
| 		matrix.setTo(new Scalar(0.0)); | 		submat.setTo(new Scalar(1.0)); | ||||||
| 		Mat submatrix = matrix.submat(0, matrix.rows() / 2, 0, matrix.cols() / 2); |  | ||||||
| 		submatrix.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()); | 		core.sort(gray0, dst, 1/*TODO: CV_SORT_EVERY_COLUMN*/);  | ||||||
| 		assertTrue(subdst.total() == core.countNonZero(subdst)); | 		submat = dst.submat(dst.rows() / 2, dst.rows(), 0, dst.cols() / 2); | ||||||
| 		 | 		assertTrue(submat.total() == core.countNonZero(submat)); | ||||||
| 		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)); |  | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testSortIdx() { | 	public void testSortIdx() { | ||||||
| @@ -870,15 +850,13 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		core.sqrt(gray9_32f, dst); | 		core.sqrt(gray9_32f, dst); | ||||||
| 		assertMatEqual(gray3_32f, dst); | 		assertMatEqual(gray3_32f, dst); | ||||||
| 		 | 		 | ||||||
| 		//TODO: We can't use assertMatEqual with multi-channel mat | 		Mat rgba144 = new Mat(matSize, matSize, CvType.CV_32FC4); | ||||||
| //		Mat rgba144 = new Mat(matSize, matSize, Mat.CvType.CV_32FC4); | 		Mat rgba12 = new Mat(matSize, matSize, CvType.CV_32FC4); | ||||||
| //		Mat rgba12 = new Mat(matSize, matSize, Mat.CvType.CV_32FC4); | 		rgba144.setTo(Scalar.all(144)); | ||||||
| //		Mat rgba_dst = new Mat(matSize, matSize, Mat.CvType.CV_32FC4); | 		rgba12.setTo(Scalar.all(12)); | ||||||
| //		rgba144.setTo(144, 144, 144, 144); |  | ||||||
| //		rgba12.setTo(12, 12, 12, 12); | 		core.sqrt(rgba144, dst); | ||||||
| //		rgba_dst.setTo(0, 0, 0, 0); | 		assertMatEqual(rgba12, dst); | ||||||
| //		core.sqrt(rgba144, rgba_dst); |  | ||||||
| //		//assertMatEqual(rgba12, rgba_dst); |  | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testSubtractMatMatMat() { | 	public void testSubtractMatMatMat() { | ||||||
| @@ -887,27 +865,19 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testSubtractMatMatMatMat() { | 	public void testSubtractMatMatMatMat() { | ||||||
| 		fail("Not yet implemented"); | 		Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));  | ||||||
| 		Mat mask = new Mat(matSize, matSize, CvType.CV_8U);  |  | ||||||
| 		mask.setTo(new Scalar(0)); |  | ||||||
| 		Mat submask = mask.submat(0, mask.rows() / 2, 0, mask.cols() / 2); | 		Mat submask = mask.submat(0, mask.rows() / 2, 0, mask.cols() / 2); | ||||||
| 		submask.setTo(new Scalar(1)); | 		submask.setTo(new Scalar(1)); | ||||||
| 		 | 		 | ||||||
| 		//FIXME: looks like a bug | 		dst = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0)); | ||||||
| 		OpenCVTestRunner.Log(" submask.total() = " + String.valueOf(submask.total())); |  | ||||||
| 		OpenCVTestRunner.Log(" 1: core.countNonZero(dst) = " + String.valueOf(core.countNonZero(dst)));		 |  | ||||||
| 		core.subtract(gray3, gray2, dst, mask); | 		core.subtract(gray3, gray2, dst, mask); | ||||||
| 		OpenCVTestRunner.Log(" 2: core.countNonZero(dst) = " + String.valueOf(core.countNonZero(dst))); |  | ||||||
| 		assertTrue(submask.total() == core.countNonZero(dst)); | 		assertTrue(submask.total() == core.countNonZero(dst)); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testSubtractMatMatMatMatInt() { | 	public void testSubtractMatMatMatMatInt() { | ||||||
| 		fail("Not yet implemented"); | 		core.subtract(gray3, gray2, dst, gray1, CvType.CV_32F); | ||||||
| //		core.subtract(gray3, gray1, dst, gray1, gray255_32f.depth()); | 		assertTrue(CvType.CV_32F == dst.depth()); | ||||||
| //		OpenCVTestRunner.Log(" 3: dst.depth() = " + String.valueOf(dst.depth())); | 		assertMatEqual(gray1_32f, dst); | ||||||
| //		OpenCVTestRunner.Log(" 4: core.CV_32F = " + String.valueOf(CvType.CV_32F)); |  | ||||||
| //		//FIXME: assertTrue(CvType.CV_32F == dst.depth()); |  | ||||||
| //		//assertMatEqual(gray2, dst); |  | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testTransform() { | 	public void testTransform() { | ||||||
| @@ -923,11 +893,6 @@ public class coreTest extends OpenCVTestCase { | |||||||
| 		assertTrue(subdst.total() == core.countNonZero(subdst)); | 		assertTrue(subdst.total() == core.countNonZero(subdst)); | ||||||
| 	} | 	} | ||||||
|  |  | ||||||
| 	public void testUseOptimized() { |  | ||||||
| 		//XXX: core.useOptimized() |  | ||||||
| 		fail("Not yet implemented"); |  | ||||||
| 	} |  | ||||||
|  |  | ||||||
| 	public void testVconcat() { | 	public void testVconcat() { | ||||||
| 		fail("Not yet implemented"); | 		fail("Not yet implemented"); | ||||||
| 	} | 	} | ||||||
|   | |||||||
| @@ -7,31 +7,6 @@ import org.opencv.test.OpenCVTestRunner; | |||||||
|  |  | ||||||
| public class highguiTest extends OpenCVTestCase { | 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() {		 | 	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"); |  | ||||||
| 	} |  | ||||||
|  |  | ||||||
| } | } | ||||||
|   | |||||||
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	 Kirill Kornyakov
					Kirill Kornyakov