/*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" using namespace cv; using namespace cv::gpu; using namespace cvtest; TEST(projectPoints, accuracy) { RNG& rng = TS::ptr()->get_rng(); Mat src = randomMat(rng, Size(1000, 1), CV_32FC3, 0, 10, false); Mat rvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); Mat tvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); Mat camera_mat = randomMat(rng, Size(3, 3), CV_32F, 0, 1, false); camera_mat.at(0, 1) = 0.f; camera_mat.at(1, 0) = 0.f; camera_mat.at(2, 0) = 0.f; camera_mat.at(2, 1) = 0.f; vector dst; projectPoints(src, rvec, tvec, camera_mat, Mat(), dst); GpuMat d_dst; projectPoints(GpuMat(src), rvec, tvec, camera_mat, Mat(), d_dst); ASSERT_EQ(dst.size(), (size_t)d_dst.cols); ASSERT_EQ(1, d_dst.rows); ASSERT_EQ(CV_32FC2, d_dst.type()); Mat h_dst(d_dst); for (size_t i = 0; i < dst.size(); ++i) { Point2f res_gold = dst[i]; Point2f res_actual = h_dst.at(0, i); Point2f err = res_actual - res_gold; ASSERT_LT(err.dot(err) / res_gold.dot(res_gold), 1e-3f); } } TEST(transformPoints, accuracy) { RNG& rng = TS::ptr()->get_rng(); Mat src = randomMat(rng, Size(1000, 1), CV_32FC3, 0, 10, false); Mat rvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); Mat tvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); GpuMat d_dst; transformPoints(GpuMat(src), rvec, tvec, d_dst); ASSERT_TRUE(src.size() == d_dst.size()); ASSERT_EQ(src.type(), d_dst.type()); Mat h_dst(d_dst); Mat rot; Rodrigues(rvec, rot); for (int i = 0; i < h_dst.cols; ++i) { Point3f p = src.at(0, i); Point3f res_gold( rot.at(0, 0) * p.x + rot.at(0, 1) * p.y + rot.at(0, 2) * p.z + tvec.at(0, 0), rot.at(1, 0) * p.x + rot.at(1, 1) * p.y + rot.at(1, 2) * p.z + tvec.at(0, 1), rot.at(2, 0) * p.x + rot.at(2, 1) * p.y + rot.at(2, 2) * p.z + tvec.at(0, 2)); Point3f res_actual = h_dst.at(0, i); Point3f err = res_actual - res_gold; ASSERT_LT(err.dot(err) / res_gold.dot(res_gold), 1e-3f); } } TEST(solvePnpRansac, accuracy) { RNG& rng = TS::ptr()->get_rng(); const int num_points = 5000; Mat object = randomMat(rng, Size(num_points, 1), CV_32FC3, 0, 100, false); Mat camera_mat = randomMat(rng, Size(3, 3), CV_32F, 0.5, 1, false); camera_mat.at(0, 1) = 0.f; camera_mat.at(1, 0) = 0.f; camera_mat.at(2, 0) = 0.f; camera_mat.at(2, 1) = 0.f; Mat rvec_gold = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); Mat tvec_gold = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); vector image_vec; projectPoints(object, rvec_gold, tvec_gold, camera_mat, Mat(), image_vec); Mat image(1, image_vec.size(), CV_32FC2, &image_vec[0]); Mat rvec; Mat tvec; SolvePnpRansacParams params; vector inliers; params.inliers = &inliers; solvePnpRansac(object, image, camera_mat, Mat(), rvec, tvec, params); ASSERT_LE(norm(rvec - rvec_gold), 1e-3f); ASSERT_LE(norm(tvec - tvec_gold), 1e-3f); }