C++程序  |  120行  |  3.94 KB

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#include "test_precomp.hpp"

#ifdef HAVE_CUDA

#include "opencv2/core/cuda.hpp"
#include "opencv2/core/private.cuda.hpp"
#include "opencv2/ts/cuda_test.hpp"

using namespace testing;
using namespace cv;
using namespace cv::cuda;

struct BufferPoolTest : TestWithParam<DeviceInfo>
{
    void RunSimpleTest(Stream& stream, HostMem& dst_1, HostMem& dst_2)
    {
        BufferPool pool(stream);

        {
            GpuMat buf0 = pool.getBuffer(Size(640, 480), CV_8UC1);
            EXPECT_FALSE( buf0.empty() );

            buf0.setTo(Scalar::all(0), stream);

            GpuMat buf1 = pool.getBuffer(Size(640, 480), CV_8UC1);
            EXPECT_FALSE( buf1.empty() );

            buf0.convertTo(buf1, buf1.type(), 1.0, 1.0, stream);

            buf1.download(dst_1, stream);
        }

        {
            GpuMat buf2 = pool.getBuffer(Size(1280, 1024), CV_32SC1);
            EXPECT_FALSE( buf2.empty() );

            buf2.setTo(Scalar::all(2), stream);

            buf2.download(dst_2, stream);
        }
    }

    void CheckSimpleTest(HostMem& dst_1, HostMem& dst_2)
    {
        EXPECT_MAT_NEAR(Mat(Size(640, 480), CV_8UC1, Scalar::all(1)), dst_1, 0.0);
        EXPECT_MAT_NEAR(Mat(Size(1280, 1024), CV_32SC1, Scalar::all(2)), dst_2, 0.0);
    }
};

CUDA_TEST_P(BufferPoolTest, FromNullStream)
{
    HostMem dst_1, dst_2;

    RunSimpleTest(Stream::Null(), dst_1, dst_2);

    CheckSimpleTest(dst_1, dst_2);
}

CUDA_TEST_P(BufferPoolTest, From2Streams)
{
    HostMem dst1_1, dst1_2;
    HostMem dst2_1, dst2_2;

    Stream stream1, stream2;
    RunSimpleTest(stream1, dst1_1, dst1_2);
    RunSimpleTest(stream2, dst2_1, dst2_2);

    stream1.waitForCompletion();
    stream2.waitForCompletion();

    CheckSimpleTest(dst1_1, dst1_2);
    CheckSimpleTest(dst2_1, dst2_2);
}

INSTANTIATE_TEST_CASE_P(CUDA_Stream, BufferPoolTest, ALL_DEVICES);

#endif // HAVE_CUDA