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Open Source Computer Vision Library
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135 lines
5.3 KiB
135 lines
5.3 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// Intel License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000, Intel Corporation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of Intel Corporation may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "test_precomp.hpp" |
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using namespace cv; |
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using namespace cv::gpu; |
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using namespace cvtest; |
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TEST(projectPoints, accuracy) |
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{ |
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RNG& rng = TS::ptr()->get_rng(); |
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Mat src = randomMat(rng, Size(1000, 1), CV_32FC3, 0, 10, false); |
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Mat rvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); |
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Mat tvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); |
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Mat camera_mat = randomMat(rng, Size(3, 3), CV_32F, 0, 1, false); |
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camera_mat.at<float>(0, 1) = 0.f; |
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camera_mat.at<float>(1, 0) = 0.f; |
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camera_mat.at<float>(2, 0) = 0.f; |
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camera_mat.at<float>(2, 1) = 0.f; |
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vector<Point2f> dst; |
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projectPoints(src, rvec, tvec, camera_mat, Mat(1, 8, CV_32F, Scalar::all(0)), dst); |
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GpuMat d_dst; |
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projectPoints(GpuMat(src), rvec, tvec, camera_mat, Mat(), d_dst); |
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ASSERT_EQ(dst.size(), (size_t)d_dst.cols); |
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ASSERT_EQ(1, d_dst.rows); |
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ASSERT_EQ(CV_32FC2, d_dst.type()); |
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Mat h_dst(d_dst); |
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for (size_t i = 0; i < dst.size(); ++i) |
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{ |
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Point2f res_gold = dst[i]; |
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Point2f res_actual = h_dst.at<Point2f>(0, i); |
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Point2f err = res_actual - res_gold; |
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ASSERT_LT(err.dot(err) / res_gold.dot(res_gold), 1e-3f); |
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} |
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} |
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TEST(transformPoints, accuracy) |
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{ |
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RNG& rng = TS::ptr()->get_rng(); |
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Mat src = randomMat(rng, Size(1000, 1), CV_32FC3, 0, 10, false); |
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Mat rvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); |
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Mat tvec = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); |
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GpuMat d_dst; |
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transformPoints(GpuMat(src), rvec, tvec, d_dst); |
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ASSERT_TRUE(src.size() == d_dst.size()); |
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ASSERT_EQ(src.type(), d_dst.type()); |
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Mat h_dst(d_dst); |
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Mat rot; |
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Rodrigues(rvec, rot); |
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for (int i = 0; i < h_dst.cols; ++i) |
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{ |
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Point3f p = src.at<Point3f>(0, i); |
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Point3f res_gold( |
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rot.at<float>(0, 0) * p.x + rot.at<float>(0, 1) * p.y + rot.at<float>(0, 2) * p.z + tvec.at<float>(0, 0), |
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rot.at<float>(1, 0) * p.x + rot.at<float>(1, 1) * p.y + rot.at<float>(1, 2) * p.z + tvec.at<float>(0, 1), |
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rot.at<float>(2, 0) * p.x + rot.at<float>(2, 1) * p.y + rot.at<float>(2, 2) * p.z + tvec.at<float>(0, 2)); |
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Point3f res_actual = h_dst.at<Point3f>(0, i); |
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Point3f err = res_actual - res_gold; |
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ASSERT_LT(err.dot(err) / res_gold.dot(res_gold), 1e-3f); |
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} |
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} |
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TEST(solvePnPRansac, accuracy) |
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{ |
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RNG& rng = TS::ptr()->get_rng(); |
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const int num_points = 5000; |
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Mat object = randomMat(rng, Size(num_points, 1), CV_32FC3, 0, 100, false); |
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Mat camera_mat = randomMat(rng, Size(3, 3), CV_32F, 0.5, 1, false); |
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camera_mat.at<float>(0, 1) = 0.f; |
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camera_mat.at<float>(1, 0) = 0.f; |
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camera_mat.at<float>(2, 0) = 0.f; |
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camera_mat.at<float>(2, 1) = 0.f; |
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Mat rvec_gold = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); |
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Mat tvec_gold = randomMat(rng, Size(3, 1), CV_32F, 0, 1, false); |
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vector<Point2f> image_vec; |
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projectPoints(object, rvec_gold, tvec_gold, camera_mat, Mat(1, 8, CV_32F, Scalar::all(0)), image_vec); |
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Mat image(1, image_vec.size(), CV_32FC2, &image_vec[0]); |
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Mat rvec, tvec; |
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vector<int> inliers; |
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gpu::solvePnPRansac(object, image, camera_mat, Mat(1, 8, CV_32F, Scalar::all(0)), rvec, tvec, false, 200, 2.f, 100, &inliers); |
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ASSERT_LE(norm(rvec - rvec_gold), 1e-3f); |
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ASSERT_LE(norm(tvec - tvec_gold), 1e-3f); |
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}
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