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