opencv/modules/gpu/test/test_nvidia.cpp

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#include "test_precomp.hpp"

#if defined HAVE_CUDA
  OutputLevel nvidiaTestOutputLevel = OutputLevelNone;
#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)
{
    try
    {
        bool res = nvidia_NPPST_Integral_Image(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NPPST, SquaredIntegral)
{
    try
    {
        bool res = nvidia_NPPST_Squared_Integral_Image(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NPPST, RectStdDev)
{
    try
    {
        bool res = nvidia_NPPST_RectStdDev(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NPPST, Resize)
{
    try
    {
        bool res = nvidia_NPPST_Resize(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NPPST, VectorOperations)
{
    try
    {
        bool res = nvidia_NPPST_Vector_Operations(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NPPST, Transpose)
{
    try
    {
        bool res = nvidia_NPPST_Transpose(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NCV, VectorOperations)
{
    try
    {
        bool res = nvidia_NCV_Vector_Operations(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NCV, HaarCascadeLoader)
{
    try
    {
        bool res = nvidia_NCV_Haar_Cascade_Loader(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NCV, HaarCascadeApplication)
{
    try
    {
        bool res = nvidia_NCV_Haar_Cascade_Application(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NCV, HypothesesFiltration)
{
    try
    {
        bool res = nvidia_NCV_Hypotheses_Filtration(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

TEST_P(NCV, Visualization)
{
    try
    {
        bool res = nvidia_NCV_Visualization(_path, nvidiaTestOutputLevel);

        ASSERT_TRUE(res);
    }
    catch (...)
    {
        cv::gpu::resetDevice();
        throw;
    }
}

INSTANTIATE_TEST_CASE_P(GPU_NVidia, NPPST, ALL_DEVICES);
INSTANTIATE_TEST_CASE_P(GPU_NVidia, NCV, ALL_DEVICES);

#endif // HAVE_CUDA