opencv/modules/gpu/test/test_calib3d.cpp

136 lines
5.3 KiB
C++
Raw Normal View History

/*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<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;
vector<Point2f> dst;
projectPoints(src, rvec, tvec, camera_mat, Mat(1, 8, CV_32F, Scalar::all(0)), 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<Point2f>(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<Point3f>(0, i);
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));
Point3f res_actual = h_dst.at<Point3f>(0, i);
Point3f err = res_actual - res_gold;
ASSERT_LT(err.dot(err) / res_gold.dot(res_gold), 1e-3f);
}
}
2011-02-28 20:44:19 +08:00
TEST(solvePnPRansac, accuracy)
2011-02-28 20:44:19 +08:00
{
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);
2011-02-28 20:44:19 +08:00
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;
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<Point2f> image_vec;
projectPoints(object, rvec_gold, tvec_gold, camera_mat, Mat(1, 8, CV_32F, Scalar::all(0)), image_vec);
2011-02-28 20:44:19 +08:00
Mat image(1, image_vec.size(), CV_32FC2, &image_vec[0]);
Mat rvec, tvec;
vector<int> inliers;
gpu::solvePnPRansac(object, image, camera_mat, Mat(1, 8, CV_32F, Scalar::all(0)), rvec, tvec, false, 200, 2.f, 100, &inliers);
2011-02-28 20:44:19 +08:00
ASSERT_LE(norm(rvec - rvec_gold), 1e-3f);
ASSERT_LE(norm(tvec - tvec_gold), 1e-3f);
}