package org.opencv.test.calib3d; import org.opencv.calib3d.Calib3d; import org.opencv.core.Core; import org.opencv.core.CvType; import org.opencv.core.Mat; import org.opencv.core.MatOfDouble; import org.opencv.core.MatOfPoint2f; import org.opencv.core.MatOfPoint3f; import org.opencv.core.Point; import org.opencv.core.Scalar; import org.opencv.core.Size; import org.opencv.test.OpenCVTestCase; import org.opencv.imgproc.Imgproc; public class Calib3dTest extends OpenCVTestCase { public void testCalibrateCameraListOfMatListOfMatSizeMatMatListOfMatListOfMat() { fail("Not yet implemented"); } public void testCalibrateCameraListOfMatListOfMatSizeMatMatListOfMatListOfMatInt() { fail("Not yet implemented"); } public void testCalibrationMatrixValues() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMat() { Mat rvec1 = new Mat(3, 1, CvType.CV_32F); rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945); Mat tvec1 = new Mat(3, 1, CvType.CV_32F); tvec1.put(0, 0, 0.81438506, 0.43713298, 0.2487897); Mat rvec2 = new Mat(3, 1, CvType.CV_32F); rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448); Mat tvec2 = new Mat(3, 1, CvType.CV_32F); tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002); Mat rvec3 = new Mat(); Mat tvec3 = new Mat(); Mat outRvec = new Mat(3, 1, CvType.CV_32F); outRvec.put(0, 0, 1.418641, 0.88665926, 0.56020796); Mat outTvec = new Mat(3, 1, CvType.CV_32F); outTvec.put(0, 0, 1.4560841, 1.0680628, 0.81598103); Calib3d.composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3); assertMatEqual(outRvec, rvec3, EPS); assertMatEqual(outTvec, tvec3, EPS); } public void testComposeRTMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); // Mat dr3dr1; // Mat dr3dt1; // Mat dr3dr2; // Mat dr3dt2; // Mat dt3dr1; // Mat dt3dt1; // Mat dt3dr2; // Mat dt3dt2; // , dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2); // [0.97031879, -0.091774099, 0.38594806; // 0.15181915, 0.98091727, -0.44186208; // -0.39509675, 0.43839464, 0.93872648] // [0, 0, 0; // 0, 0, 0; // 0, 0, 0] // [1.0117353, 0.16348237, -0.083180845; // -0.1980398, 1.006078, 0.30299222; // 0.075766489, -0.32784501, 1.0163091] // [0, 0, 0; // 0, 0, 0; // 0, 0, 0] // [0, 0, 0; // 0, 0, 0; // 0, 0, 0] // [0.69658804, 0.018115902, 0.7172426; // 0.51114357, 0.68899536, -0.51382649; // -0.50348526, 0.72453934, 0.47068608] // [0.18536358, -0.20515044, -0.48834875; // -0.25120571, 0.29043972, 0.60573936; // 0.35370794, -0.69923931, 0.45781645] // [1, 0, 0; // 0, 1, 0; // 0, 0, 1] } public void testConvertPointsFromHomogeneous() { fail("Not yet implemented"); } public void testConvertPointsToHomogeneous() { fail("Not yet implemented"); } public void testDecomposeProjectionMatrixMatMatMatMat() { fail("Not yet implemented"); } public void testDecomposeProjectionMatrixMatMatMatMatMat() { fail("Not yet implemented"); } public void testDecomposeProjectionMatrixMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testDecomposeProjectionMatrixMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testDecomposeProjectionMatrixMatMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testDrawChessboardCorners() { fail("Not yet implemented"); } public void testEstimateAffine3DMatMatMatMat() { fail("Not yet implemented"); } public void testEstimateAffine3DMatMatMatMatDouble() { fail("Not yet implemented"); } public void testEstimateAffine3DMatMatMatMatDoubleDouble() { fail("Not yet implemented"); } public void testFilterSpecklesMatDoubleIntDouble() { gray_16s_1024.copyTo(dst); Point center = new Point(gray_16s_1024.rows() / 2., gray_16s_1024.cols() / 2.); Imgproc.circle(dst, center, 1, Scalar.all(4096)); assertMatNotEqual(gray_16s_1024, dst); Calib3d.filterSpeckles(dst, 1024.0, 100, 0.); assertMatEqual(gray_16s_1024, dst); } public void testFilterSpecklesMatDoubleIntDoubleMat() { fail("Not yet implemented"); } public void testFindChessboardCornersMatSizeMat() { Size patternSize = new Size(9, 6); MatOfPoint2f corners = new MatOfPoint2f(); Calib3d.findChessboardCorners(grayChess, patternSize, corners); assertTrue(!corners.empty()); } public void testFindChessboardCornersMatSizeMatInt() { Size patternSize = new Size(9, 6); MatOfPoint2f corners = new MatOfPoint2f(); Calib3d.findChessboardCorners(grayChess, patternSize, corners, Calib3d.CALIB_CB_ADAPTIVE_THRESH + Calib3d.CALIB_CB_NORMALIZE_IMAGE + Calib3d.CALIB_CB_FAST_CHECK); assertTrue(!corners.empty()); } public void testFindCirclesGridMatSizeMat() { int size = 300; Mat img = new Mat(size, size, CvType.CV_8U); img.setTo(new Scalar(255)); Mat centers = new Mat(); assertFalse(Calib3d.findCirclesGrid(img, new Size(5, 5), centers)); for (int i = 0; i < 5; i++) for (int j = 0; j < 5; j++) { Point pt = new Point(size * (2 * i + 1) / 10, size * (2 * j + 1) / 10); Imgproc.circle(img, pt, 10, new Scalar(0), -1); } assertTrue(Calib3d.findCirclesGrid(img, new Size(5, 5), centers)); assertEquals(25, centers.rows()); assertEquals(1, centers.cols()); assertEquals(CvType.CV_32FC2, centers.type()); } public void testFindCirclesGridMatSizeMatInt() { int size = 300; Mat img = new Mat(size, size, CvType.CV_8U); img.setTo(new Scalar(255)); Mat centers = new Mat(); assertFalse(Calib3d.findCirclesGrid(img, new Size(3, 5), centers, Calib3d.CALIB_CB_CLUSTERING | Calib3d.CALIB_CB_ASYMMETRIC_GRID)); int step = size * 2 / 15; int offsetx = size / 6; int offsety = (size - 4 * step) / 2; for (int i = 0; i < 3; i++) for (int j = 0; j < 5; j++) { Point pt = new Point(offsetx + (2 * i + j % 2) * step, offsety + step * j); Imgproc.circle(img, pt, 10, new Scalar(0), -1); } assertTrue(Calib3d.findCirclesGrid(img, new Size(3, 5), centers, Calib3d.CALIB_CB_CLUSTERING | Calib3d.CALIB_CB_ASYMMETRIC_GRID)); assertEquals(15, centers.rows()); assertEquals(1, centers.cols()); assertEquals(CvType.CV_32FC2, centers.type()); } public void testFindFundamentalMatListOfPointListOfPoint() { int minFundamentalMatPoints = 8; MatOfPoint2f pts = new MatOfPoint2f(); pts.alloc(minFundamentalMatPoints); for (int i = 0; i < minFundamentalMatPoints; i++) { double x = Math.random() * 100 - 50; double y = Math.random() * 100 - 50; pts.put(i, 0, x, y); //add(new Point(x, y)); } Mat fm = Calib3d.findFundamentalMat(pts, pts); truth = new Mat(3, 3, CvType.CV_64F); truth.put(0, 0, 0, -0.577, 0.288, 0.577, 0, 0.288, -0.288, -0.288, 0); assertMatEqual(truth, fm, EPS); } public void testFindFundamentalMatListOfPointListOfPointInt() { fail("Not yet implemented"); } public void testFindFundamentalMatListOfPointListOfPointIntDouble() { fail("Not yet implemented"); } public void testFindFundamentalMatListOfPointListOfPointIntDoubleDouble() { fail("Not yet implemented"); } public void testFindFundamentalMatListOfPointListOfPointIntDoubleDoubleMat() { fail("Not yet implemented"); } public void testFindHomographyListOfPointListOfPoint() { final int NUM = 20; MatOfPoint2f originalPoints = new MatOfPoint2f(); originalPoints.alloc(NUM); MatOfPoint2f transformedPoints = new MatOfPoint2f(); transformedPoints.alloc(NUM); for (int i = 0; i < NUM; i++) { double x = Math.random() * 100 - 50; double y = Math.random() * 100 - 50; originalPoints.put(i, 0, x, y); transformedPoints.put(i, 0, y, x); } Mat hmg = Calib3d.findHomography(originalPoints, transformedPoints); truth = new Mat(3, 3, CvType.CV_64F); truth.put(0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1); assertMatEqual(truth, hmg, EPS); } public void testFindHomographyListOfPointListOfPointInt() { fail("Not yet implemented"); } public void testFindHomographyListOfPointListOfPointIntDouble() { fail("Not yet implemented"); } public void testFindHomographyListOfPointListOfPointIntDoubleMat() { fail("Not yet implemented"); } public void testGetOptimalNewCameraMatrixMatMatSizeDouble() { fail("Not yet implemented"); } public void testGetOptimalNewCameraMatrixMatMatSizeDoubleSize() { fail("Not yet implemented"); } public void testGetOptimalNewCameraMatrixMatMatSizeDoubleSizeRect() { fail("Not yet implemented"); } public void testGetOptimalNewCameraMatrixMatMatSizeDoubleSizeRectBoolean() { fail("Not yet implemented"); } public void testGetValidDisparityROI() { fail("Not yet implemented"); } public void testInitCameraMatrix2DListOfMatListOfMatSize() { fail("Not yet implemented"); } public void testInitCameraMatrix2DListOfMatListOfMatSizeDouble() { fail("Not yet implemented"); } public void testMatMulDeriv() { fail("Not yet implemented"); } public void testProjectPointsMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testProjectPointsMatMatMatMatMatMatMat() { fail("Not yet implemented"); } public void testProjectPointsMatMatMatMatMatMatMatDouble() { fail("Not yet implemented"); } public void testRectify3Collinear() { fail("Not yet implemented"); } public void testReprojectImageTo3DMatMatMat() { Mat transformMatrix = new Mat(4, 4, CvType.CV_64F); transformMatrix.put(0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1); Mat disparity = new Mat(matSize, matSize, CvType.CV_32F); float[] disp = new float[matSize * matSize]; for (int i = 0; i < matSize; i++) for (int j = 0; j < matSize; j++) disp[i * matSize + j] = i - j; disparity.put(0, 0, disp); Mat _3dPoints = new Mat(); Calib3d.reprojectImageTo3D(disparity, _3dPoints, transformMatrix); assertEquals(CvType.CV_32FC3, _3dPoints.type()); assertEquals(matSize, _3dPoints.rows()); assertEquals(matSize, _3dPoints.cols()); truth = new Mat(matSize, matSize, CvType.CV_32FC3); float[] _truth = new float[matSize * matSize * 3]; for (int i = 0; i < matSize; i++) for (int j = 0; j < matSize; j++) { _truth[(i * matSize + j) * 3 + 0] = i; _truth[(i * matSize + j) * 3 + 1] = j; _truth[(i * matSize + j) * 3 + 2] = i - j; } truth.put(0, 0, _truth); assertMatEqual(truth, _3dPoints, EPS); } public void testReprojectImageTo3DMatMatMatBoolean() { Mat transformMatrix = new Mat(4, 4, CvType.CV_64F); transformMatrix.put(0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1); Mat disparity = new Mat(matSize, matSize, CvType.CV_32F); float[] disp = new float[matSize * matSize]; for (int i = 0; i < matSize; i++) for (int j = 0; j < matSize; j++) disp[i * matSize + j] = i - j; disp[0] = -Float.MAX_VALUE; disparity.put(0, 0, disp); Mat _3dPoints = new Mat(); Calib3d.reprojectImageTo3D(disparity, _3dPoints, transformMatrix, true); assertEquals(CvType.CV_32FC3, _3dPoints.type()); assertEquals(matSize, _3dPoints.rows()); assertEquals(matSize, _3dPoints.cols()); truth = new Mat(matSize, matSize, CvType.CV_32FC3); float[] _truth = new float[matSize * matSize * 3]; for (int i = 0; i < matSize; i++) for (int j = 0; j < matSize; j++) { _truth[(i * matSize + j) * 3 + 0] = i; _truth[(i * matSize + j) * 3 + 1] = j; _truth[(i * matSize + j) * 3 + 2] = i - j; } _truth[2] = 10000; truth.put(0, 0, _truth); assertMatEqual(truth, _3dPoints, EPS); } public void testReprojectImageTo3DMatMatMatBooleanInt() { Mat transformMatrix = new Mat(4, 4, CvType.CV_64F); transformMatrix.put(0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1); Mat disparity = new Mat(matSize, matSize, CvType.CV_32F); float[] disp = new float[matSize * matSize]; for (int i = 0; i < matSize; i++) for (int j = 0; j < matSize; j++) disp[i * matSize + j] = i - j; disparity.put(0, 0, disp); Mat _3dPoints = new Mat(); Calib3d.reprojectImageTo3D(disparity, _3dPoints, transformMatrix, false, CvType.CV_16S); assertEquals(CvType.CV_16SC3, _3dPoints.type()); assertEquals(matSize, _3dPoints.rows()); assertEquals(matSize, _3dPoints.cols()); truth = new Mat(matSize, matSize, CvType.CV_16SC3); short[] _truth = new short[matSize * matSize * 3]; for (short i = 0; i < matSize; i++) for (short j = 0; j < matSize; j++) { _truth[(i * matSize + j) * 3 + 0] = i; _truth[(i * matSize + j) * 3 + 1] = j; _truth[(i * matSize + j) * 3 + 2] = (short) (i - j); } truth.put(0, 0, _truth); assertMatEqual(truth, _3dPoints, EPS); } public void testRodriguesMatMat() { Mat r = new Mat(3, 1, CvType.CV_32F); Mat R = new Mat(3, 3, CvType.CV_32F); r.put(0, 0, Math.PI, 0, 0); Calib3d.Rodrigues(r, R); truth = new Mat(3, 3, CvType.CV_32F); truth.put(0, 0, 1, 0, 0, 0, -1, 0, 0, 0, -1); assertMatEqual(truth, R, EPS); Mat r2 = new Mat(); Calib3d.Rodrigues(R, r2); assertMatEqual(r, r2, EPS); } public void testRodriguesMatMatMat() { fail("Not yet implemented"); } public void testRQDecomp3x3MatMatMat() { fail("Not yet implemented"); } public void testRQDecomp3x3MatMatMatMat() { fail("Not yet implemented"); } public void testRQDecomp3x3MatMatMatMatMat() { fail("Not yet implemented"); } public void testRQDecomp3x3MatMatMatMatMatMat() { fail("Not yet implemented"); } public void testSolvePnPListOfPoint3ListOfPointMatMatMatMat() { Mat intrinsics = Mat.eye(3, 3, CvType.CV_32F); intrinsics.put(0, 0, 400); intrinsics.put(1, 1, 400); intrinsics.put(0, 2, 640 / 2); intrinsics.put(1, 2, 480 / 2); final int minPnpPointsNum = 4; MatOfPoint3f points3d = new MatOfPoint3f(); points3d.alloc(minPnpPointsNum); MatOfPoint2f points2d = new MatOfPoint2f(); points2d.alloc(minPnpPointsNum); for (int i = 0; i < minPnpPointsNum; i++) { double x = Math.random() * 100 - 50; double y = Math.random() * 100 - 50; points2d.put(i, 0, x, y); //add(new Point(x, y)); points3d.put(i, 0, 0, y, x); // add(new Point3(0, y, x)); } Mat rvec = new Mat(); Mat tvec = new Mat(); Calib3d.solvePnP(points3d, points2d, intrinsics, new MatOfDouble(), rvec, tvec); Mat truth_rvec = new Mat(3, 1, CvType.CV_64F); truth_rvec.put(0, 0, 0, Math.PI / 2, 0); Mat truth_tvec = new Mat(3, 1, CvType.CV_64F); truth_tvec.put(0, 0, -320, -240, 400); assertMatEqual(truth_rvec, rvec, EPS); assertMatEqual(truth_tvec, tvec, EPS); } public void testSolvePnPListOfPoint3ListOfPointMatMatMatMatBoolean() { fail("Not yet implemented"); } public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMat() { fail("Not yet implemented"); } public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBoolean() { fail("Not yet implemented"); } public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanInt() { fail("Not yet implemented"); } public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanIntFloat() { fail("Not yet implemented"); } public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanIntFloatInt() { fail("Not yet implemented"); } public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanIntFloatIntMat() { fail("Not yet implemented"); } public void testStereoCalibrateListOfMatListOfMatListOfMatMatMatMatMatSizeMatMatMatMat() { fail("Not yet implemented"); } public void testStereoCalibrateListOfMatListOfMatListOfMatMatMatMatMatSizeMatMatMatMatTermCriteria() { fail("Not yet implemented"); } public void testStereoCalibrateListOfMatListOfMatListOfMatMatMatMatMatSizeMatMatMatMatTermCriteriaInt() { fail("Not yet implemented"); } public void testStereoRectifyUncalibratedMatMatMatSizeMatMat() { fail("Not yet implemented"); } public void testStereoRectifyUncalibratedMatMatMatSizeMatMatDouble() { fail("Not yet implemented"); } public void testValidateDisparityMatMatIntInt() { fail("Not yet implemented"); } public void testValidateDisparityMatMatIntIntInt() { fail("Not yet implemented"); } public void testComputeCorrespondEpilines() { Mat fundamental = new Mat(3, 3, CvType.CV_64F); fundamental.put(0, 0, 0, -0.577, 0.288, 0.577, 0, 0.288, -0.288, -0.288, 0); MatOfPoint2f left = new MatOfPoint2f(); left.alloc(1); left.put(0, 0, 2, 3); //add(new Point(x, y)); Mat lines = new Mat(); Mat truth = new Mat(1, 1, CvType.CV_32FC3); truth.put(0, 0, -0.70735186, 0.70686162, -0.70588124); Calib3d.computeCorrespondEpilines(left, 1, fundamental, lines); assertMatEqual(truth, lines, EPS); } }