opencv/modules/gpu/test/test_nvidia.cpp

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#include "precomp.hpp"

#ifdef HAVE_CUDA

using namespace cvtest;
using namespace testing;

enum OutputLevel
{
    OutputLevelNone,
    OutputLevelCompact,
    OutputLevelFull
};

bool nvidia_NPPST_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NPPST_Squared_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NPPST_RectStdDev(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NPPST_Resize(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NPPST_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NPPST_Transpose(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NCV_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NCV_Haar_Cascade_Loader(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NCV_Haar_Cascade_Application(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NCV_Hypotheses_Filtration(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NCV_Visualization(const std::string& test_data_path, OutputLevel outputLevel);

struct NVidiaTest : TestWithParam<cv::gpu::DeviceInfo>
{
    cv::gpu::DeviceInfo devInfo;

    std::string path;

    virtual void SetUp() 
    {
        devInfo = GetParam();

        cv::gpu::setDevice(devInfo.deviceID());

        path = std::string(TS::ptr()->get_data_path()) + "haarcascade/";
    }
};

struct NPPST : NVidiaTest {};
struct NCV : NVidiaTest {};

OutputLevel nvidiaTestOutputLevel = OutputLevelNone;

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) 
{
    bool res = nvidia_NCV_Visualization(path, nvidiaTestOutputLevel);

    ASSERT_TRUE(res);
}

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

#endif // HAVE_CUDA