/////////////////////////////////////////////////////////////////////////////////////// // // 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 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 & 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 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(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