/*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. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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" OutputLevel nvidiaTestOutputLevel = OutputLevelCompact; #ifdef HAVE_CUDA using namespace cvtest; using namespace testing; struct NVidiaTest : TestWithParam { cv::gpu::DeviceInfo devInfo; std::string _path; virtual void SetUp() { devInfo = GetParam(); cv::gpu::setDevice(devInfo.deviceID()); _path = TS::ptr()->get_data_path().c_str(); _path = _path + "haarcascade/"; } }; struct NPPST : NVidiaTest {}; struct NCV : NVidiaTest {}; //TEST_P(NPPST, Integral) //{ // bool res = nvidia_NPPST_Integral_Image(path, nvidiaTestOutputLevel); // ASSERT_TRUE(res); //} TEST_P(NPPST, SquaredIntegral) { bool res = nvidia_NPPST_Squared_Integral_Image(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NPPST, RectStdDev) { bool res = nvidia_NPPST_RectStdDev(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NPPST, Resize) { bool res = nvidia_NPPST_Resize(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NPPST, VectorOperations) { bool res = nvidia_NPPST_Vector_Operations(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NPPST, Transpose) { bool res = nvidia_NPPST_Transpose(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NCV, VectorOperations) { bool res = nvidia_NCV_Vector_Operations(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NCV, HaarCascadeLoader) { bool res = nvidia_NCV_Haar_Cascade_Loader(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NCV, HaarCascadeApplication) { bool res = nvidia_NCV_Haar_Cascade_Application(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NCV, HypothesesFiltration) { bool res = nvidia_NCV_Hypotheses_Filtration(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } TEST_P(NCV, Visualization) { // this functionality doesn't used in gpu module bool res = nvidia_NCV_Visualization(_path, nvidiaTestOutputLevel); ASSERT_TRUE(res); } INSTANTIATE_TEST_CASE_P(GPU_NVidia, NPPST, ALL_DEVICES); INSTANTIATE_TEST_CASE_P(GPU_NVidia, NCV, ALL_DEVICES); #endif // HAVE_CUDA