• ltqusst's avatar
    Fix #10557 · 0d646490
    ltqusst authored
    Fix overflow bugs in conversion from NV12 VA-surface/D3D11texture2D to OpenCL UMat
    0d646490
cvtclr_dx.cl 7.62 KB
/*M///////////////////////////////////////////////////////////////////////////////////////
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//                For Open Source Computer Vision Library
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// @Authors
//    Jia Haipeng, jiahaipeng95@gmail.com
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#ifdef DOUBLE_SUPPORT
#ifdef cl_amd_fp64
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined cl_khr_fp64
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
#endif

#ifdef INTEL_DEVICE
#pragma OPENCL FP_CONTRACT ON
#pragma OPENCL FP_FAST_FMAF ON
#pragma OPENCL FP_FAST_FMA ON
#endif


static
__constant
float c_YUV2RGBCoeffs_420[5] =
{
     1.163999557f,
     2.017999649f,
    -0.390999794f,
    -0.812999725f,
     1.5959997177f
};

static const __constant float CV_8U_MAX         = 255.0f;
static const __constant float CV_8U_HALF        = 128.0f;
static const __constant float BT601_BLACK_RANGE = 16.0f;
static const __constant float CV_8U_SCALE       = 1.0f / 255.0f;
static const __constant float d1                = BT601_BLACK_RANGE / CV_8U_MAX;
static const __constant float d2                = CV_8U_HALF / CV_8U_MAX;

#define NCHANNELS 3

__kernel
void YUV2BGR_NV12_8u(
    read_only image2d_t imgY,
    read_only image2d_t imgUV,
    __global unsigned char* pBGR,
   int bgrStep,
   int cols,
   int rows)
{
    int x = get_global_id(0);
    int y = get_global_id(1);

    if (x + 1 < cols)
    {
        if (y + 1 < rows)
        {
            __global uchar* pDstRow1 = pBGR + mad24(y, bgrStep, mad24(x, NCHANNELS, 0));
            __global uchar* pDstRow2 = pDstRow1 + bgrStep;

            float4 Y1 = read_imagef(imgY, (int2)(x+0, y+0));
            float4 Y2 = read_imagef(imgY, (int2)(x+1, y+0));
            float4 Y3 = read_imagef(imgY, (int2)(x+0, y+1));
            float4 Y4 = read_imagef(imgY, (int2)(x+1, y+1));

            float4 UV = read_imagef(imgUV, (int2)(x/2, y/2)) - d2;

            __constant float* coeffs = c_YUV2RGBCoeffs_420;

            Y1 = max(0.f, Y1 - d1) * coeffs[0];
            Y2 = max(0.f, Y2 - d1) * coeffs[0];
            Y3 = max(0.f, Y3 - d1) * coeffs[0];
            Y4 = max(0.f, Y4 - d1) * coeffs[0];

            float ruv = fma(coeffs[4], UV.y, 0.0f);
            float guv = fma(coeffs[3], UV.y, fma(coeffs[2], UV.x, 0.0f));
            float buv = fma(coeffs[1], UV.x, 0.0f);

            float R1 = (Y1.x + ruv) * CV_8U_MAX;
            float G1 = (Y1.x + guv) * CV_8U_MAX;
            float B1 = (Y1.x + buv) * CV_8U_MAX;

            float R2 = (Y2.x + ruv) * CV_8U_MAX;
            float G2 = (Y2.x + guv) * CV_8U_MAX;
            float B2 = (Y2.x + buv) * CV_8U_MAX;

            float R3 = (Y3.x + ruv) * CV_8U_MAX;
            float G3 = (Y3.x + guv) * CV_8U_MAX;
            float B3 = (Y3.x + buv) * CV_8U_MAX;

            float R4 = (Y4.x + ruv) * CV_8U_MAX;
            float G4 = (Y4.x + guv) * CV_8U_MAX;
            float B4 = (Y4.x + buv) * CV_8U_MAX;

            pDstRow1[0*NCHANNELS + 0] = convert_uchar_sat(B1);
            pDstRow1[0*NCHANNELS + 1] = convert_uchar_sat(G1);
            pDstRow1[0*NCHANNELS + 2] = convert_uchar_sat(R1);

            pDstRow1[1*NCHANNELS + 0] = convert_uchar_sat(B2);
            pDstRow1[1*NCHANNELS + 1] = convert_uchar_sat(G2);
            pDstRow1[1*NCHANNELS + 2] = convert_uchar_sat(R2);

            pDstRow2[0*NCHANNELS + 0] = convert_uchar_sat(B3);
            pDstRow2[0*NCHANNELS + 1] = convert_uchar_sat(G3);
            pDstRow2[0*NCHANNELS + 2] = convert_uchar_sat(R3);

            pDstRow2[1*NCHANNELS + 0] = convert_uchar_sat(B4);
            pDstRow2[1*NCHANNELS + 1] = convert_uchar_sat(G4);
            pDstRow2[1*NCHANNELS + 2] = convert_uchar_sat(R4);
        }
    }
}


static
__constant float c_RGB2YUVCoeffs_420[8] =
{
     0.256999969f,  0.50399971f,   0.09799957f,   -0.1479988098f,
    -0.2909994125f, 0.438999176f, -0.3679990768f, -0.0709991455f
};


__kernel
void BGR2YUV_NV12_8u(
    __global unsigned char* pBGR,
    int bgrStep,
    int cols,
    int rows,
    write_only image2d_t imgY,
    write_only image2d_t imgUV)
{
    int x = get_global_id(0);
    int y = get_global_id(1);

    if (x < cols)
    {
        if (y < rows)
        {
            __global const uchar* pSrcRow1 = pBGR + mad24(y, bgrStep, mad24(x, NCHANNELS, 0));
            __global const uchar* pSrcRow2 = pSrcRow1 + bgrStep;

            float4 src_pix1 = convert_float4(vload4(0, pSrcRow1 + 0*NCHANNELS)) * CV_8U_SCALE;
            float4 src_pix2 = convert_float4(vload4(0, pSrcRow1 + 1*NCHANNELS)) * CV_8U_SCALE;
            float4 src_pix3 = convert_float4(vload4(0, pSrcRow2 + 0*NCHANNELS)) * CV_8U_SCALE;
            float4 src_pix4 = convert_float4(vload4(0, pSrcRow2 + 1*NCHANNELS)) * CV_8U_SCALE;

            __constant float* coeffs = c_RGB2YUVCoeffs_420;

            float Y1 = fma(coeffs[0], src_pix1.z, fma(coeffs[1], src_pix1.y, fma(coeffs[2], src_pix1.x, d1)));
            float Y2 = fma(coeffs[0], src_pix2.z, fma(coeffs[1], src_pix2.y, fma(coeffs[2], src_pix2.x, d1)));
            float Y3 = fma(coeffs[0], src_pix3.z, fma(coeffs[1], src_pix3.y, fma(coeffs[2], src_pix3.x, d1)));
            float Y4 = fma(coeffs[0], src_pix4.z, fma(coeffs[1], src_pix4.y, fma(coeffs[2], src_pix4.x, d1)));

            float4 UV;
            UV.x = fma(coeffs[3], src_pix1.z, fma(coeffs[4], src_pix1.y, fma(coeffs[5], src_pix1.x, d2)));
            UV.y = fma(coeffs[5], src_pix1.z, fma(coeffs[6], src_pix1.y, fma(coeffs[7], src_pix1.x, d2)));

            write_imagef(imgY, (int2)(x+0, y+0), Y1);
            write_imagef(imgY, (int2)(x+1, y+0), Y2);
            write_imagef(imgY, (int2)(x+0, y+1), Y3);
            write_imagef(imgY, (int2)(x+1, y+1), Y4);

            write_imagef(imgUV, (int2)((x/2), (y/2)), UV);
        }
    }
}