149 lines
5.2 KiB
C++
149 lines
5.2 KiB
C++
///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// 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) 2010-2012, Multicoreware, Inc., all rights reserved.
|
|
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
|
|
// Copyright (C) 2010-2012, Advanced Micro Devices, 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"
|
|
#include "opencv2/ts/ocl_test.hpp"
|
|
|
|
#ifdef HAVE_OPENCL
|
|
|
|
namespace opencv_test {
|
|
namespace ocl {
|
|
|
|
//////////////////////////// GoodFeaturesToTrack //////////////////////////
|
|
|
|
|
|
PARAM_TEST_CASE(GoodFeaturesToTrack, double, bool)
|
|
{
|
|
double minDistance;
|
|
bool useRoi;
|
|
|
|
static const int maxCorners;
|
|
static const double qualityLevel;
|
|
|
|
TEST_DECLARE_INPUT_PARAMETER(src);
|
|
UMat points, upoints;
|
|
std::vector<float> quality, uquality;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
minDistance = GET_PARAM(0);
|
|
useRoi = GET_PARAM(1);
|
|
}
|
|
|
|
void generateTestData()
|
|
{
|
|
Mat frame = readImage("../gpu/opticalflow/rubberwhale1.png", IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame.empty()) << "could not load gpu/opticalflow/rubberwhale1.png";
|
|
|
|
Size roiSize = frame.size();
|
|
Border srcBorder = randomBorder(0, useRoi ? 2 : 0);
|
|
randomSubMat(src, src_roi, roiSize, srcBorder, frame.type(), 5, 256);
|
|
src_roi.copyTo(frame);
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src);
|
|
}
|
|
|
|
void UMatToVector(const UMat & um, std::vector<Point2f> & v) const
|
|
{
|
|
v.resize(um.size().area());
|
|
um.copyTo(Mat(um.size(), CV_32FC2, &v[0]));
|
|
}
|
|
};
|
|
|
|
const int GoodFeaturesToTrack::maxCorners = 1000;
|
|
const double GoodFeaturesToTrack::qualityLevel = 0.01;
|
|
|
|
OCL_TEST_P(GoodFeaturesToTrack, Accuracy)
|
|
{
|
|
for (int j = 0; j < test_loop_times; ++j)
|
|
{
|
|
generateTestData();
|
|
|
|
std::vector<Point2f> upts, pts;
|
|
|
|
OCL_OFF(cv::goodFeaturesToTrack(src_roi, points, maxCorners, qualityLevel, minDistance, noArray(), quality));
|
|
ASSERT_FALSE(points.empty());
|
|
UMatToVector(points, pts);
|
|
|
|
OCL_ON(cv::goodFeaturesToTrack(usrc_roi, upoints, maxCorners, qualityLevel, minDistance, noArray(), uquality));
|
|
ASSERT_FALSE(upoints.empty());
|
|
UMatToVector(upoints, upts);
|
|
|
|
ASSERT_EQ(pts.size(), quality.size());
|
|
ASSERT_EQ(upts.size(), uquality.size());
|
|
ASSERT_EQ(upts.size(), pts.size());
|
|
|
|
int mistmatch = 0;
|
|
for (size_t i = 0; i < pts.size(); ++i)
|
|
{
|
|
Point2i a = upts[i], b = pts[i];
|
|
|
|
bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1 &&
|
|
std::abs(quality[i] - uquality[i]) <= 3.f * FLT_EPSILON * std::max(quality[i], uquality[i]);
|
|
|
|
if (!eq)
|
|
++mistmatch;
|
|
}
|
|
|
|
double bad_ratio = static_cast<double>(mistmatch) / pts.size();
|
|
ASSERT_GE(1e-2, bad_ratio);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(GoodFeaturesToTrack, EmptyCorners)
|
|
{
|
|
generateTestData();
|
|
usrc_roi.setTo(Scalar::all(0));
|
|
|
|
OCL_ON(cv::goodFeaturesToTrack(usrc_roi, upoints, maxCorners, qualityLevel, minDistance, noArray(), uquality));
|
|
|
|
ASSERT_TRUE(upoints.empty());
|
|
ASSERT_TRUE(uquality.empty());
|
|
}
|
|
|
|
OCL_INSTANTIATE_TEST_CASE_P(Imgproc, GoodFeaturesToTrack,
|
|
::testing::Combine(testing::Values(0.0, 3.0), Bool()));
|
|
|
|
} } // namespace opencv_test::ocl
|
|
|
|
#endif
|