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152 lines
4.2 KiB
C++
152 lines
4.2 KiB
C++
/*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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#ifdef HAVE_CUDA
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OutputLevel nvidiaTestOutputLevel = OutputLevelNone;
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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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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