/*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 "opencv2/core/core_c.h" namespace opencv_test { namespace { class CV_UndistortPointsBadArgTest : public cvtest::BadArgTest { public: CV_UndistortPointsBadArgTest(); protected: void run(int); void run_func(); private: //common cv::Size img_size; //static const int N_POINTS = 1; static const int N_POINTS2 = 2; //C++ cv::Mat camera_mat; cv::Mat R; cv::Mat P; cv::Mat distortion_coeffs; cv::Mat src_points; std::vector dst_points; }; CV_UndistortPointsBadArgTest::CV_UndistortPointsBadArgTest () { } void CV_UndistortPointsBadArgTest::run_func() { cv::undistortPoints(src_points,dst_points,camera_mat,distortion_coeffs,R,P); } void CV_UndistortPointsBadArgTest::run(int) { //RNG& rng = ts->get_rng(); int errcount = 0; //initializing img_size.width = 800; img_size.height = 600; double cam[9] = {150.f, 0.f, img_size.width/2.f, 0, 300.f, img_size.height/2.f, 0.f, 0.f, 1.f}; double dist[4] = {0.01,0.02,0.001,0.0005}; double s_points[N_POINTS2] = { static_cast(img_size.width) / 4.0, static_cast(img_size.height) / 4.0, }; double p[9] = {155.f, 0.f, img_size.width/2.f+img_size.width/50.f, 0, 310.f, img_size.height/2.f+img_size.height/50.f, 0.f, 0.f, 1.f}; double r[9] = {1,0,0,0,1,0,0,0,1}; CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam); CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist); CvMat _P_orig = cvMat(3,3,CV_64F,p); CvMat _R_orig = cvMat(3,3,CV_64F,r); CvMat _src_points_orig = cvMat(1,4,CV_64FC2,s_points); camera_mat = cv::cvarrToMat(&_camera_mat_orig); distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); P = cv::cvarrToMat(&_P_orig); R = cv::cvarrToMat(&_R_orig); src_points = cv::cvarrToMat(&_src_points_orig); src_points.create(2, 2, CV_32FC2); errcount += run_test_case( cv::Error::StsAssert, "Invalid input data matrix size" ); src_points = cv::cvarrToMat(&_src_points_orig); src_points.create(1, 4, CV_64FC2); errcount += run_test_case( cv::Error::StsAssert, "Invalid input data matrix type" ); src_points = cv::cvarrToMat(&_src_points_orig); src_points = cv::Mat(); errcount += run_test_case( cv::Error::StsBadArg, "Input data matrix is not continuous" ); src_points = cv::cvarrToMat(&_src_points_orig); //------------ ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK); } //========= class CV_InitUndistortRectifyMapBadArgTest : public cvtest::BadArgTest { public: CV_InitUndistortRectifyMapBadArgTest(); protected: void run(int); void run_func(); private: cv::Size img_size; cv::Mat camera_mat; cv::Mat R; cv::Mat new_camera_mat; cv::Mat distortion_coeffs; cv::Mat mapx; cv::Mat mapy; int mat_type; }; CV_InitUndistortRectifyMapBadArgTest::CV_InitUndistortRectifyMapBadArgTest () { } void CV_InitUndistortRectifyMapBadArgTest::run_func() { cv::initUndistortRectifyMap(camera_mat,distortion_coeffs,R,new_camera_mat,img_size,mat_type,mapx,mapy); } void CV_InitUndistortRectifyMapBadArgTest::run(int) { int errcount = 0; //initializing img_size.width = 800; img_size.height = 600; double cam[9] = {150.f, 0.f, img_size.width/2.f, 0, 300.f, img_size.height/2.f, 0.f, 0.f, 1.f}; double dist[4] = {0.01,0.02,0.001,0.0005}; std::vector arr_mapx(img_size.width*img_size.height); std::vector arr_mapy(img_size.width*img_size.height); double arr_new_camera_mat[9] = {155.f, 0.f, img_size.width/2.f+img_size.width/50.f, 0, 310.f, img_size.height/2.f+img_size.height/50.f, 0.f, 0.f, 1.f}; double r[9] = {1,0,0,0,1,0,0,0,1}; CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam); CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist); CvMat _new_camera_mat_orig = cvMat(3,3,CV_64F,arr_new_camera_mat); CvMat _R_orig = cvMat(3,3,CV_64F,r); CvMat _mapx_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_mapx[0]); CvMat _mapy_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_mapy[0]); int mat_type_orig = CV_32FC1; camera_mat = cv::cvarrToMat(&_camera_mat_orig); distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig); R = cv::cvarrToMat(&_R_orig); mapx = cv::cvarrToMat(&_mapx_orig); mapy = cv::cvarrToMat(&_mapy_orig); mat_type = CV_64F; errcount += run_test_case( cv::Error::StsAssert, "Invalid map matrix type" ); mat_type = mat_type_orig; camera_mat.create(3, 2, CV_32F); errcount += run_test_case( cv::Error::StsAssert, "Invalid camera data matrix size" ); camera_mat = cv::cvarrToMat(&_camera_mat_orig); R.create(4, 3, CV_32F); errcount += run_test_case( cv::Error::StsAssert, "Invalid R data matrix size" ); R = cv::cvarrToMat(&_R_orig); distortion_coeffs.create(6, 1, CV_32F); errcount += run_test_case( cv::Error::StsAssert, "Invalid distortion coefficients data matrix size" ); distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); //------------ ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK); } //========= class CV_UndistortBadArgTest : public cvtest::BadArgTest { public: CV_UndistortBadArgTest(); protected: void run(int); void run_func(); private: //common cv::Size img_size; cv::Mat camera_mat; cv::Mat new_camera_mat; cv::Mat distortion_coeffs; cv::Mat src; cv::Mat dst; }; CV_UndistortBadArgTest::CV_UndistortBadArgTest () { } void CV_UndistortBadArgTest::run_func() { cv::undistort(src,dst,camera_mat,distortion_coeffs,new_camera_mat); } void CV_UndistortBadArgTest::run(int) { int errcount = 0; //initializing img_size.width = 800; img_size.height = 600; double cam[9] = {150.f, 0.f, img_size.width/2.f, 0, 300.f, img_size.height/2.f, 0.f, 0.f, 1.f}; double dist[4] = {0.01,0.02,0.001,0.0005}; std::vector arr_src(img_size.width*img_size.height); std::vector arr_dst(img_size.width*img_size.height); double arr_new_camera_mat[9] = {155.f, 0.f, img_size.width/2.f+img_size.width/50.f, 0, 310.f, img_size.height/2.f+img_size.height/50.f, 0.f, 0.f, 1.f}; CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam); CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist); CvMat _new_camera_mat_orig = cvMat(3,3,CV_64F,arr_new_camera_mat); CvMat _src_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_src[0]); CvMat _dst_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_dst[0]); camera_mat = cv::cvarrToMat(&_camera_mat_orig); distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig); src = cv::cvarrToMat(&_src_orig); dst = cv::cvarrToMat(&_dst_orig); camera_mat.create(5, 5, CV_64F); errcount += run_test_case( cv::Error::StsAssert, "Invalid camera data matrix size" ); //------------ ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK); } TEST(Calib3d_UndistortPoints, badarg) { CV_UndistortPointsBadArgTest test; test.safe_run(); } TEST(Calib3d_InitUndistortRectifyMap, badarg) { CV_InitUndistortRectifyMapBadArgTest test; test.safe_run(); } TEST(Calib3d_Undistort, badarg) { CV_UndistortBadArgTest test; test.safe_run(); } }} // namespace /* End of file. */