mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 09:49:13 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
134 lines
4.4 KiB
C++
134 lines
4.4 KiB
C++
/*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"
|
|
|
|
#ifdef HAVE_CUDA
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
//////////////////////////////////////////////////////
|
|
// GoodFeaturesToTrack
|
|
|
|
namespace
|
|
{
|
|
IMPLEMENT_PARAM_CLASS(MinDistance, double)
|
|
}
|
|
|
|
PARAM_TEST_CASE(GoodFeaturesToTrack, cv::cuda::DeviceInfo, MinDistance)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
double minDistance;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
minDistance = GET_PARAM(1);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(GoodFeaturesToTrack, Accuracy)
|
|
{
|
|
cv::Mat image = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(image.empty());
|
|
|
|
int maxCorners = 1000;
|
|
double qualityLevel = 0.01;
|
|
|
|
cv::Ptr<cv::cuda::CornersDetector> detector = cv::cuda::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance);
|
|
|
|
cv::cuda::GpuMat d_pts;
|
|
detector->detect(loadMat(image), d_pts);
|
|
|
|
ASSERT_FALSE(d_pts.empty());
|
|
|
|
std::vector<cv::Point2f> pts(d_pts.cols);
|
|
cv::Mat pts_mat(1, d_pts.cols, CV_32FC2, (void*) &pts[0]);
|
|
d_pts.download(pts_mat);
|
|
|
|
std::vector<cv::Point2f> pts_gold;
|
|
cv::goodFeaturesToTrack(image, pts_gold, maxCorners, qualityLevel, minDistance);
|
|
|
|
ASSERT_EQ(pts_gold.size(), pts.size());
|
|
|
|
size_t mistmatch = 0;
|
|
for (size_t i = 0; i < pts.size(); ++i)
|
|
{
|
|
cv::Point2i a = pts_gold[i];
|
|
cv::Point2i b = pts[i];
|
|
|
|
bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
|
|
|
|
if (!eq)
|
|
++mistmatch;
|
|
}
|
|
|
|
double bad_ratio = static_cast<double>(mistmatch) / pts.size();
|
|
|
|
ASSERT_LE(bad_ratio, 0.01);
|
|
}
|
|
|
|
CUDA_TEST_P(GoodFeaturesToTrack, EmptyCorners)
|
|
{
|
|
int maxCorners = 1000;
|
|
double qualityLevel = 0.01;
|
|
|
|
cv::cuda::GpuMat src(100, 100, CV_8UC1, cv::Scalar::all(0));
|
|
cv::cuda::GpuMat corners(1, maxCorners, CV_32FC2);
|
|
|
|
cv::Ptr<cv::cuda::CornersDetector> detector = cv::cuda::createGoodFeaturesToTrackDetector(src.type(), maxCorners, qualityLevel, minDistance);
|
|
|
|
detector->detect(src, corners);
|
|
|
|
ASSERT_TRUE(corners.empty());
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, GoodFeaturesToTrack, testing::Combine(
|
|
ALL_DEVICES,
|
|
testing::Values(MinDistance(0.0), MinDistance(3.0))));
|
|
|
|
|
|
}} // namespace
|
|
#endif // HAVE_CUDA
|