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//                For Open Source Computer Vision Library
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#include "test_precomp.hpp"

namespace opencv_test { namespace {

#ifdef HAVE_NVCUVID

PARAM_TEST_CASE(Video, cv::cuda::DeviceInfo, std::string)
{
};

//////////////////////////////////////////////////////
// VideoReader

CUDA_TEST_P(Video, Reader)
{
    cv::cuda::setDevice(GET_PARAM(0).deviceID());

    const std::string inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);

    cv::Ptr<cv::cudacodec::VideoReader> reader = cv::cudacodec::createVideoReader(inputFile);

    cv::cuda::GpuMat frame;

    for (int i = 0; i < 10; ++i)
    {
        ASSERT_TRUE(reader->nextFrame(frame));
        ASSERT_FALSE(frame.empty());
    }
}

//////////////////////////////////////////////////////
// VideoWriter

#ifdef _WIN32

CUDA_TEST_P(Video, Writer)
{
    cv::cuda::setDevice(GET_PARAM(0).deviceID());

    const std::string inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);

    std::string outputFile = cv::tempfile(".avi");
    const double FPS = 25.0;

    cv::VideoCapture reader(inputFile);
    ASSERT_TRUE(reader.isOpened());

    cv::Ptr<cv::cudacodec::VideoWriter> d_writer;

    cv::Mat frame;
    cv::cuda::GpuMat d_frame;

    for (int i = 0; i < 10; ++i)
    {
        reader >> frame;
        ASSERT_FALSE(frame.empty());

        d_frame.upload(frame);

        if (d_writer.empty())
            d_writer = cv::cudacodec::createVideoWriter(outputFile, frame.size(), FPS);

        d_writer->write(d_frame);
    }

    reader.release();
    d_writer.release();

    reader.open(outputFile);
    ASSERT_TRUE(reader.isOpened());

    for (int i = 0; i < 5; ++i)
    {
        reader >> frame;
        ASSERT_FALSE(frame.empty());
    }
}

#endif // _WIN32

INSTANTIATE_TEST_CASE_P(CUDA_Codec, Video, testing::Combine(
    ALL_DEVICES,
    testing::Values(std::string("768x576.avi"), std::string("1920x1080.avi"))));

#endif // HAVE_NVCUVID
}} // namespace