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