154 lines
4.4 KiB
C++
154 lines
4.4 KiB
C++
/*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"
|
|
|
|
#if defined HAVE_CUDA
|
|
OutputLevel nvidiaTestOutputLevel = OutputLevelCompact;
|
|
#endif
|
|
|
|
#if defined HAVE_CUDA && !defined(CUDA_DISABLER)
|
|
|
|
using namespace cvtest;
|
|
using namespace testing;
|
|
|
|
struct NVidiaTest : TestWithParam<cv::gpu::DeviceInfo>
|
|
{
|
|
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
|