123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193 |
- /*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.
- //
- //
- // License Agreement
- // For Open Source Computer Vision Library
- //
- // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
- // Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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"
- #if defined HAVE_CUDA && defined HAVE_OPENCV_CALIB3D
- #include "opencv2/calib3d.hpp"
- namespace opencv_test { namespace {
- ///////////////////////////////////////////////////////////////////////////////////////////////////////
- // transformPoints
- struct TransformPoints : testing::TestWithParam<cv::cuda::DeviceInfo>
- {
- cv::cuda::DeviceInfo devInfo;
- virtual void SetUp()
- {
- devInfo = GetParam();
- cv::cuda::setDevice(devInfo.deviceID());
- }
- };
- CUDA_TEST_P(TransformPoints, Accuracy)
- {
- cv::Mat src = randomMat(cv::Size(1000, 1), CV_32FC3, 0, 10);
- cv::Mat rvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
- cv::Mat tvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
- cv::cuda::GpuMat dst;
- cv::cuda::transformPoints(loadMat(src), rvec, tvec, dst);
- ASSERT_EQ(src.size(), dst.size());
- ASSERT_EQ(src.type(), dst.type());
- cv::Mat h_dst(dst);
- cv::Mat rot;
- cv::Rodrigues(rvec, rot);
- for (int i = 0; i < h_dst.cols; ++i)
- {
- cv::Point3f res = h_dst.at<cv::Point3f>(0, i);
- cv::Point3f p = src.at<cv::Point3f>(0, i);
- cv::Point3f res_gold(
- 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),
- 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),
- 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));
- ASSERT_POINT3_NEAR(res_gold, res, 1e-5);
- }
- }
- INSTANTIATE_TEST_CASE_P(CUDA_Calib3D, TransformPoints, ALL_DEVICES);
- ///////////////////////////////////////////////////////////////////////////////////////////////////////
- // ProjectPoints
- struct ProjectPoints : testing::TestWithParam<cv::cuda::DeviceInfo>
- {
- cv::cuda::DeviceInfo devInfo;
- virtual void SetUp()
- {
- devInfo = GetParam();
- cv::cuda::setDevice(devInfo.deviceID());
- }
- };
- CUDA_TEST_P(ProjectPoints, Accuracy)
- {
- cv::Mat src = randomMat(cv::Size(1000, 1), CV_32FC3, 0, 10);
- cv::Mat rvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
- cv::Mat tvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
- cv::Mat camera_mat = randomMat(cv::Size(3, 3), CV_32F, 0.5, 1);
- camera_mat.at<float>(0, 1) = 0.f;
- camera_mat.at<float>(1, 0) = 0.f;
- camera_mat.at<float>(2, 0) = 0.f;
- camera_mat.at<float>(2, 1) = 0.f;
- cv::cuda::GpuMat dst;
- cv::cuda::projectPoints(loadMat(src), rvec, tvec, camera_mat, cv::Mat(), dst);
- ASSERT_EQ(1, dst.rows);
- ASSERT_EQ(MatType(CV_32FC2), MatType(dst.type()));
- std::vector<cv::Point2f> dst_gold;
- cv::projectPoints(src, rvec, tvec, camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)), dst_gold);
- ASSERT_EQ(dst_gold.size(), static_cast<size_t>(dst.cols));
- cv::Mat h_dst(dst);
- for (size_t i = 0; i < dst_gold.size(); ++i)
- {
- cv::Point2f res = h_dst.at<cv::Point2f>(0, (int)i);
- cv::Point2f res_gold = dst_gold[i];
- ASSERT_LE(cv::norm(res_gold - res) / cv::norm(res_gold), 1e-3f);
- }
- }
- INSTANTIATE_TEST_CASE_P(CUDA_Calib3D, ProjectPoints, ALL_DEVICES);
- ///////////////////////////////////////////////////////////////////////////////////////////////////////
- // SolvePnPRansac
- struct SolvePnPRansac : testing::TestWithParam<cv::cuda::DeviceInfo>
- {
- cv::cuda::DeviceInfo devInfo;
- virtual void SetUp()
- {
- devInfo = GetParam();
- cv::cuda::setDevice(devInfo.deviceID());
- }
- };
- CUDA_TEST_P(SolvePnPRansac, Accuracy)
- {
- cv::Mat object = randomMat(cv::Size(5000, 1), CV_32FC3, -2000, 2000);
- cv::Mat camera_mat = randomMat(cv::Size(3, 3), CV_32F, 0.5, 1);
- camera_mat.at<float>(0, 1) = 0.f;
- camera_mat.at<float>(1, 0) = 0.f;
- camera_mat.at<float>(2, 0) = 0.f;
- camera_mat.at<float>(2, 1) = 0.f;
- std::vector<cv::Point2f> image_vec;
- cv::Mat rvec_gold;
- cv::Mat tvec_gold;
- rvec_gold = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
- tvec_gold = randomMat(cv::Size(3, 1), CV_32F, 0, 1000);
- cv::projectPoints(object, rvec_gold, tvec_gold, camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)), image_vec);
- cv::Mat rvec, tvec;
- std::vector<int> inliers;
- cv::cuda::solvePnPRansac(object, cv::Mat(1, (int)image_vec.size(), CV_32FC2, &image_vec[0]),
- camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)),
- rvec, tvec, false, 200, 2.f, 100, &inliers);
- ASSERT_LE(cv::norm(rvec - rvec_gold), 1e-3);
- ASSERT_LE(cv::norm(tvec, tvec_gold, NORM_L2 | NORM_RELATIVE), 1e-3);
- }
- INSTANTIATE_TEST_CASE_P(CUDA_Calib3D, SolvePnPRansac, ALL_DEVICES);
- }} // namespace
- #endif // HAVE_CUDA
|