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Open Source Computer Vision Library
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153 lines
4.2 KiB
153 lines
4.2 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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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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// Intel License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000, Intel Corporation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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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 Intel Corporation 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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#if defined HAVE_CUDA |
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OutputLevel nvidiaTestOutputLevel = OutputLevelNone; |
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#endif |
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#if defined HAVE_CUDA && !defined(CUDA_DISABLER) |
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using namespace cvtest; |
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using namespace testing; |
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struct NVidiaTest : TestWithParam<cv::gpu::DeviceInfo> |
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{ |
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cv::gpu::DeviceInfo devInfo; |
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std::string _path; |
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virtual void SetUp() |
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{ |
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devInfo = GetParam(); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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_path = TS::ptr()->get_data_path().c_str(); |
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_path = _path + "haarcascade/"; |
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} |
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}; |
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struct NPPST : NVidiaTest {}; |
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struct NCV : NVidiaTest {}; |
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//TEST_P(NPPST, Integral) |
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//{ |
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// bool res = nvidia_NPPST_Integral_Image(path, nvidiaTestOutputLevel); |
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// ASSERT_TRUE(res); |
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//} |
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TEST_P(NPPST, SquaredIntegral) |
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{ |
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bool res = nvidia_NPPST_Squared_Integral_Image(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NPPST, RectStdDev) |
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{ |
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bool res = nvidia_NPPST_RectStdDev(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NPPST, Resize) |
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{ |
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bool res = nvidia_NPPST_Resize(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NPPST, VectorOperations) |
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{ |
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bool res = nvidia_NPPST_Vector_Operations(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NPPST, Transpose) |
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{ |
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bool res = nvidia_NPPST_Transpose(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NCV, VectorOperations) |
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{ |
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bool res = nvidia_NCV_Vector_Operations(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NCV, HaarCascadeLoader) |
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{ |
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bool res = nvidia_NCV_Haar_Cascade_Loader(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NCV, HaarCascadeApplication) |
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{ |
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bool res = nvidia_NCV_Haar_Cascade_Application(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NCV, HypothesesFiltration) |
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{ |
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bool res = nvidia_NCV_Hypotheses_Filtration(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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TEST_P(NCV, Visualization) |
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{ |
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// this functionality doesn't used in gpu module |
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bool res = nvidia_NCV_Visualization(_path, nvidiaTestOutputLevel); |
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ASSERT_TRUE(res); |
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} |
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INSTANTIATE_TEST_CASE_P(GPU_NVidia, NPPST, ALL_DEVICES); |
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INSTANTIATE_TEST_CASE_P(GPU_NVidia, NCV, ALL_DEVICES); |
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#endif // HAVE_CUDA
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