/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #include "test_chessboardgenerator.hpp" #include "opencv2/core/types_c.h" namespace opencv_test { namespace { class CV_CameraCalibrationBadArgTest : public cvtest::BadArgTest { public: CV_CameraCalibrationBadArgTest() {} ~CV_CameraCalibrationBadArgTest() {} protected: void run(int); void run_func(void) {} struct C_Caller { _InputArray imgPts_arg; _InputArray objPts_arg; _OutputArray rvecs_arg; _OutputArray tvecs_arg; _OutputArray newObjPts_arg; _InputOutputArray cameraMatrix_arg; _InputOutputArray distCoeffs_arg; std::vector > imgPts; std::vector > objPts; Size imageSize0, imageSize; int iFixedPoint0, iFixedPoint; Mat cameraMatrix; Mat distCoeffs; std::vector rvecs; std::vector tvecs; std::vector newObjPts; int flags0, flags; void initArgs() { imgPts_arg = imgPts; objPts_arg = objPts; rvecs_arg = rvecs; tvecs_arg = tvecs; newObjPts_arg = newObjPts; cameraMatrix_arg = cameraMatrix; distCoeffs_arg = distCoeffs; imageSize = imageSize0; flags = flags0; iFixedPoint = iFixedPoint0; } void operator()() const { calibrateCameraRO(objPts_arg, imgPts_arg, imageSize, iFixedPoint, cameraMatrix_arg, distCoeffs_arg, rvecs_arg, tvecs_arg, newObjPts_arg, flags); } }; }; void CV_CameraCalibrationBadArgTest::run( int /* start_from */ ) { const int M = 2; Size imgSize(800, 600); Mat_ camMat(3, 3); Mat_ distCoeffs0(1, 5); camMat << 300.f, 0.f, imgSize.width/2.f, 0, 300.f, imgSize.height/2.f, 0.f, 0.f, 1.f; distCoeffs0 << 1.2f, 0.2f, 0.f, 0.f, 0.f; ChessBoardGenerator cbg(Size(8,6)); Size corSize = cbg.cornersSize(); vector corners; cbg(Mat(imgSize, CV_8U, Scalar(0)), camMat, distCoeffs0, corners); C_Caller caller; caller.imageSize0 = imgSize; caller.iFixedPoint0 = -1; caller.flags0 = 0; ///////////////////////////// Mat cameraMatrix_cpp; Mat distCoeffs_cpp; Mat rvecs_cpp; Mat tvecs_cpp; Mat newObjPts_cpp; std::vector objPts_cpp; for(int y = 0; y < corSize.height; ++y) for(int x = 0; x < corSize.width; ++x) objPts_cpp.push_back(Point3f((float)x, (float)y, 0.f)); caller.objPts.resize(M); caller.imgPts.resize(M); for(int i = 0; i < M; i++) { caller.objPts[i] = objPts_cpp; caller.imgPts[i] = corners; } caller.cameraMatrix.create(3, 3, CV_32F); caller.distCoeffs.create(5, 1, CV_32F); caller.rvecs.clear(); caller.tvecs.clear(); caller.newObjPts.clear(); /* /*//*/ */ int errors = 0; caller.initArgs(); caller.objPts_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "None passed in objPts", caller); caller.initArgs(); caller.imgPts_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "None passed in imgPts", caller ); caller.initArgs(); caller.cameraMatrix_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero passed in cameraMatrix", caller ); caller.initArgs(); caller.distCoeffs_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero passed in distCoeffs", caller ); caller.initArgs(); caller.imageSize.width = -1; errors += run_test_case( cv::Error::StsOutOfRange, "Bad image width", caller ); caller.initArgs(); caller.imageSize.height = -1; errors += run_test_case( cv::Error::StsOutOfRange, "Bad image height", caller ); caller.initArgs(); caller.imgPts[0].clear(); errors += run_test_case( cv::Error::StsBadSize, "Bad imgpts[0]", caller ); caller.imgPts[0] = caller.imgPts[1]; caller.initArgs(); caller.objPts[1].clear(); errors += run_test_case( cv::Error::StsBadSize, "Bad objpts[1]", caller ); caller.objPts[1] = caller.objPts[0]; caller.initArgs(); Mat badCM = Mat::zeros(4, 4, CV_64F); caller.cameraMatrix_arg = badCM; caller.flags = CALIB_USE_INTRINSIC_GUESS; errors += run_test_case( cv::Error::StsBadArg, "Bad camearaMatrix header", caller ); caller.initArgs(); Mat badDC = Mat::zeros(10, 10, CV_64F); caller.distCoeffs_arg = badDC; caller.flags = CALIB_USE_INTRINSIC_GUESS; errors += run_test_case( cv::Error::StsBadArg, "Bad camearaMatrix header", caller ); if (errors) ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); else ts->set_failed_test_info(cvtest::TS::OK); } class CV_Rodrigues2BadArgTest : public cvtest::BadArgTest { public: CV_Rodrigues2BadArgTest() {} ~CV_Rodrigues2BadArgTest() {} protected: void run_func(void) {} struct C_Caller { _InputArray src_arg; _OutputArray dst_arg, j_arg; Mat src; Mat dst; Mat jacobian; void initArgs() { src_arg = src; dst_arg = dst; j_arg = jacobian; } void operator()() { cv::Rodrigues(src_arg, dst_arg, j_arg); } }; void run(int /* start_from */ ) { Mat zeros(1, sizeof(CvMat), CV_8U, Scalar(0)); Mat src_cpp(3, 1, CV_32F); Mat dst_cpp(3, 3, CV_32F); C_Caller caller; /*/*//*/*/ int errors = 0; caller.initArgs(); caller.src_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Src is empty matrix", caller ); caller.initArgs(); caller.src = Mat::zeros(3, 1, CV_8U); errors += run_test_case( cv::Error::StsUnsupportedFormat, "Bad src formart", caller ); caller.initArgs(); caller.src = Mat::zeros(1, 1, CV_32F); errors += run_test_case( cv::Error::StsBadSize, "Bad src size", caller ); if (errors) ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); else ts->set_failed_test_info(cvtest::TS::OK); } }; ////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////// class CV_ProjectPoints2BadArgTest : public cvtest::BadArgTest { public: CV_ProjectPoints2BadArgTest() : camMat(3, 3), distCoeffs(1, 5) { Size imsSize(800, 600); camMat << 300.f, 0.f, imsSize.width/2.f, 0, 300.f, imsSize.height/2.f, 0.f, 0.f, 1.f; distCoeffs << 1.2f, 0.2f, 0.f, 0.f, 0.f; } ~CV_ProjectPoints2BadArgTest() {} protected: void run_func(void) {} Mat_ camMat; Mat_ distCoeffs; struct C_Caller { _InputArray objectPoints_arg, rvec_arg, tvec_arg, A_arg, DC_arg; _OutputArray imagePoints_arg; Mat objectPoints; Mat r_vec; Mat t_vec; Mat A; Mat distCoeffs; Mat imagePoints; Mat J; double aspectRatio0, aspectRatio; void initArgs() { objectPoints_arg = objectPoints; imagePoints_arg = imagePoints; rvec_arg = r_vec; tvec_arg = t_vec; A_arg = A; DC_arg = distCoeffs; aspectRatio = aspectRatio0; } void operator()() { projectPoints(objectPoints_arg, rvec_arg, tvec_arg, A_arg, DC_arg, imagePoints_arg, J, aspectRatio ); } }; void run(int /* start_from */ ) { C_Caller caller; const int n = 10; Mat objectPoints_cpp(1, n, CV_32FC3); randu(objectPoints_cpp, Scalar::all(1), Scalar::all(10)); caller.objectPoints = objectPoints_cpp; caller.t_vec = Mat::zeros(1, 3, CV_32F); cvtest::Rodrigues(Mat::eye(3, 3, CV_32F), caller.r_vec); caller.A = Mat::eye(3, 3, CV_32F); caller.distCoeffs = Mat::zeros(1, 5, CV_32F); caller.aspectRatio0 = 1.0; /********************/ int errors = 0; caller.initArgs(); caller.objectPoints_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero objectPoints", caller ); caller.initArgs(); caller.rvec_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero r_vec", caller ); caller.initArgs(); caller.tvec_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero t_vec", caller ); caller.initArgs(); caller.A_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero camMat", caller ); caller.initArgs(); caller.imagePoints_arg = noArray(); errors += run_test_case( cv::Error::StsBadArg, "Zero imagePoints", caller ); Mat save_rvec = caller.r_vec; caller.initArgs(); caller.r_vec.create(2, 2, CV_32F); errors += run_test_case( cv::Error::StsBadArg, "Bad rvec format", caller ); caller.initArgs(); caller.r_vec.create(1, 3, CV_8U); errors += run_test_case( cv::Error::StsBadArg, "Bad rvec format", caller ); caller.r_vec = save_rvec; /****************************/ Mat save_tvec = caller.t_vec; caller.initArgs(); caller.t_vec.create(3, 3, CV_32F); errors += run_test_case( cv::Error::StsBadArg, "Bad tvec format", caller ); caller.initArgs(); caller.t_vec.create(1, 3, CV_8U); errors += run_test_case( cv::Error::StsBadArg, "Bad tvec format", caller ); caller.t_vec = save_tvec; /****************************/ Mat save_A = caller.A; caller.initArgs(); caller.A.create(2, 2, CV_32F); errors += run_test_case( cv::Error::StsBadArg, "Bad A format", caller ); caller.A = save_A; /****************************/ Mat save_DC = caller.distCoeffs; caller.initArgs(); caller.distCoeffs.create(3, 3, CV_32F); errors += run_test_case( cv::Error::StsBadArg, "Bad distCoeffs format", caller ); caller.distCoeffs = save_DC; if (errors) ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); else ts->set_failed_test_info(cvtest::TS::OK); } }; TEST(Calib3d_CalibrateCamera_CPP, badarg) { CV_CameraCalibrationBadArgTest test; test.safe_run(); } TEST(Calib3d_Rodrigues_CPP, badarg) { CV_Rodrigues2BadArgTest test; test.safe_run(); } TEST(Calib3d_ProjectPoints_CPP, badarg) { CV_ProjectPoints2BadArgTest test; test.safe_run(); } }} // namespace