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// For Open Source Computer Vision Library
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#include "test_precomp.hpp"
#ifdef HAVE_CUDA
OutputLevel nvidiaTestOutputLevel = OutputLevelNone;
using namespace cvtest;
using namespace testing;
struct NVidiaTest : TestWithParam<cv::cuda::DeviceInfo>
{
cv::cuda::DeviceInfo devInfo;
std::string _path;
virtual void SetUp()
{
devInfo = GetParam();
cv::cuda::setDevice(devInfo.deviceID());
_path = TS::ptr()->get_data_path().c_str();
_path = _path + "haarcascade/";
}
};
struct NPPST : NVidiaTest {};
struct NCV : NVidiaTest {};
CUDA_TEST_P(NPPST, Integral)
{
bool res = nvidia_NPPST_Integral_Image(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NPPST, SquaredIntegral)
{
bool res = nvidia_NPPST_Squared_Integral_Image(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NPPST, RectStdDev)
{
bool res = nvidia_NPPST_RectStdDev(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NPPST, Resize)
{
bool res = nvidia_NPPST_Resize(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NPPST, VectorOperations)
{
bool res = nvidia_NPPST_Vector_Operations(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NPPST, Transpose)
{
bool res = nvidia_NPPST_Transpose(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NCV, VectorOperations)
{
bool res = nvidia_NCV_Vector_Operations(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NCV, HaarCascadeLoader)
{
bool res = nvidia_NCV_Haar_Cascade_Loader(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NCV, HaarCascadeApplication)
{
bool res = nvidia_NCV_Haar_Cascade_Application(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NCV, HypothesesFiltration)
{
bool res = nvidia_NCV_Hypotheses_Filtration(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
CUDA_TEST_P(NCV, Visualization)
{
bool res = nvidia_NCV_Visualization(_path, nvidiaTestOutputLevel);
ASSERT_TRUE(res);
}
INSTANTIATE_TEST_CASE_P(CUDA_Legacy, NPPST, ALL_DEVICES);
INSTANTIATE_TEST_CASE_P(CUDA_Legacy, NCV, ALL_DEVICES);
#endif // HAVE_CUDA