/*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) 2013, OpenCV Foundation, 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. // // Authors: // * Peter Andreas Entschev, peter@entschev.com // //M*/ #include "test_precomp.hpp" #ifdef HAVE_OPENCL //////////////////////////////////////////////////////// // FAST namespace { IMPLEMENT_PARAM_CLASS(FAST_Threshold, int) IMPLEMENT_PARAM_CLASS(FAST_NonmaxSupression, bool) } PARAM_TEST_CASE(FAST, FAST_Threshold, FAST_NonmaxSupression) { int threshold; bool nonmaxSupression; virtual void SetUp() { threshold = GET_PARAM(0); nonmaxSupression = GET_PARAM(1); } }; OCL_TEST_P(FAST, Accuracy) { cv::Mat image = readImage("gpu/perf/aloe.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(image.empty()); cv::ocl::FAST_OCL fast(threshold); fast.nonmaxSupression = nonmaxSupression; cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image); std::vector keypoints; fast(ocl_image, cv::ocl::oclMat(), keypoints); std::vector keypoints_gold; cv::FAST(image, keypoints_gold, threshold, nonmaxSupression); ASSERT_KEYPOINTS_EQ(keypoints_gold, keypoints); } INSTANTIATE_TEST_CASE_P(OCL_Features2D, FAST, testing::Combine( testing::Values(FAST_Threshold(25), FAST_Threshold(50)), testing::Values(FAST_NonmaxSupression(false), FAST_NonmaxSupression(true)))); #endif