Open Source Computer Vision Library https://opencv.org/
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/*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.
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// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
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// * The name of the copyright holders may not be used to endorse or promote products
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// 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,
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//M*/
#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
using namespace perf;
DEF_PARAM_TEST_1(Count, int);
//////////////////////////////////////////////////////////////////////
// ProjectPoints
PERF_TEST_P(Count, Calib3D_ProjectPoints,
Values(5000, 10000, 20000))
{
const int count = GetParam();
cv::Mat src(1, count, CV_32FC3);
declare.in(src, WARMUP_RNG);
const cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1);
const cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1);
const cv::Mat camera_mat = cv::Mat::ones(3, 3, CV_32FC1);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::projectPoints(d_src, rvec, tvec, camera_mat, cv::Mat(), dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::projectPoints(src, rvec, tvec, camera_mat, cv::noArray(), dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// SolvePnPRansac
PERF_TEST_P(Count, Calib3D_SolvePnPRansac,
Values(5000, 10000, 20000))
{
declare.time(10.0);
const int count = GetParam();
cv::Mat object(1, count, CV_32FC3);
declare.in(object, WARMUP_RNG);
cv::Mat camera_mat(3, 3, CV_32FC1);
cv::randu(camera_mat, 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;
const cv::Mat dist_coef(1, 8, CV_32F, cv::Scalar::all(0));
cv::Mat rvec_gold(1, 3, CV_32FC1);
cv::randu(rvec_gold, 0, 1);
cv::Mat tvec_gold(1, 3, CV_32FC1);
cv::randu(tvec_gold, 0, 1);
std::vector<cv::Point2f> image_vec;
cv::projectPoints(object, rvec_gold, tvec_gold, camera_mat, dist_coef, image_vec);
const cv::Mat image(1, count, CV_32FC2, &image_vec[0]);
cv::Mat rvec;
cv::Mat tvec;
if (PERF_RUN_CUDA())
{
TEST_CYCLE() cv::cuda::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
CUDA_SANITY_CHECK(rvec, 1e-3);
CUDA_SANITY_CHECK(tvec, 1e-3);
}
else
{
TEST_CYCLE() cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec);
CPU_SANITY_CHECK(rvec, 1e-6);
CPU_SANITY_CHECK(tvec, 1e-6);
}
}