root/modules/superres/src/input_array_utility.cpp

DEFINITIONS

1. arrGetMat
2. arrGetUMat
3. arrGetGpuMat
4. mat2mat
5. arr2buf
6. mat2gpu
7. buf2arr
8. gpu2mat
9. gpu2gpu
10. arrCopy
11. convertToCn
12. convertToDepth
13. convertToType
14. convertToType
15. convertToType

/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
//     and/or other materials provided with the distribution.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

#include "precomp.hpp"

using namespace cv;
using namespace cv::cuda;

Mat cv::superres::arrGetMat(InputArray arr, Mat& buf)
{
    switch (arr.kind())
    {
    case _InputArray::CUDA_GPU_MAT:
        arr.getGpuMat().download(buf);
        return buf;

    case _InputArray::OPENGL_BUFFER:
        arr.getOGlBuffer().copyTo(buf);
        return buf;

    default:
        return arr.getMat();
    }
}

UMat cv::superres::arrGetUMat(InputArray arr, UMat& buf)
{
    switch (arr.kind())
    {
    case _InputArray::CUDA_GPU_MAT:
        arr.getGpuMat().download(buf);
        return buf;

    case _InputArray::OPENGL_BUFFER:
        arr.getOGlBuffer().copyTo(buf);
        return buf;

    default:
        return arr.getUMat();
    }
}

GpuMat cv::superres::arrGetGpuMat(InputArray arr, GpuMat& buf)
{
    switch (arr.kind())
    {
    case _InputArray::CUDA_GPU_MAT:
        return arr.getGpuMat();

    case _InputArray::OPENGL_BUFFER:
        arr.getOGlBuffer().copyTo(buf);
        return buf;

    default:
        buf.upload(arr.getMat());
        return buf;
    }
}

namespace
{
    void mat2mat(InputArray src, OutputArray dst)
    {
        src.getMat().copyTo(dst);
    }
    void arr2buf(InputArray src, OutputArray dst)
    {
        dst.getOGlBufferRef().copyFrom(src);
    }
    void mat2gpu(InputArray src, OutputArray dst)
    {
        dst.getGpuMatRef().upload(src.getMat());
    }
    void buf2arr(InputArray src, OutputArray dst)
    {
        src.getOGlBuffer().copyTo(dst);
    }
    void gpu2mat(InputArray src, OutputArray dst)
    {
        GpuMat d = src.getGpuMat();
        dst.create(d.size(), d.type());
        Mat m = dst.getMat();
        d.download(m);
    }
    void gpu2gpu(InputArray src, OutputArray dst)
    {
        src.getGpuMat().copyTo(dst.getGpuMatRef());
    }
}

void cv::superres::arrCopy(InputArray src, OutputArray dst)
{
    if (dst.isUMat() || src.isUMat())
    {
        src.copyTo(dst);
        return;
    }

    typedef void (*func_t)(InputArray src, OutputArray dst);
    static const func_t funcs[10][10] =
    {
        { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 },
        { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
        { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
        { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
        { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
        { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
        { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
        { 0, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, 0, buf2arr },
        { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 },
        { 0, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, arr2buf, 0 , gpu2gpu },
    };

    const int src_kind = src.kind() >> _InputArray::KIND_SHIFT;
    const int dst_kind = dst.kind() >> _InputArray::KIND_SHIFT;

    CV_Assert( src_kind >= 0 && src_kind < 10 );
    CV_Assert( dst_kind >= 0 && dst_kind < 10 );

    const func_t func = funcs[src_kind][dst_kind];
    CV_Assert( func != 0 );

    func(src, dst);
}

namespace
{
    void convertToCn(InputArray src, OutputArray dst, int cn)
    {
        int scn = src.channels();
        CV_Assert( scn == 1 || scn == 3 || scn == 4 );
        CV_Assert( cn == 1 || cn == 3 || cn == 4 );

        static const int codes[5][5] =
        {
            { -1, -1, -1, -1, -1 },
            { -1, -1, -1, COLOR_GRAY2BGR, COLOR_GRAY2BGRA },
            { -1, -1, -1, -1, -1 },
            { -1, COLOR_BGR2GRAY, -1, -1, COLOR_BGR2BGRA },
            { -1, COLOR_BGRA2GRAY, -1, COLOR_BGRA2BGR, -1 }
        };

        const int code = codes[scn][cn];
        CV_Assert( code >= 0 );

        switch (src.kind())
        {
        case _InputArray::CUDA_GPU_MAT:
            #ifdef HAVE_OPENCV_CUDAIMGPROC
                cuda::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn);
            #else
                CV_Error(cv::Error::StsNotImplemented, "The called functionality is disabled for current build or platform");
            #endif
            break;

        default:
            cv::cvtColor(src, dst, code, cn);
            break;
        }
    }

    void convertToDepth(InputArray src, OutputArray dst, int depth)
    {
        CV_Assert( src.depth() <= CV_64F );
        CV_Assert( depth == CV_8U || depth == CV_32F );

        static const double maxVals[] =
        {
            std::numeric_limits<uchar>::max(),
            std::numeric_limits<schar>::max(),
            std::numeric_limits<ushort>::max(),
            std::numeric_limits<short>::max(),
            std::numeric_limits<int>::max(),
            1.0,
            1.0,
        };

        const double scale = maxVals[depth] / maxVals[src.depth()];

        switch (src.kind())
        {
        case _InputArray::CUDA_GPU_MAT:
            src.getGpuMat().convertTo(dst.getGpuMatRef(), depth, scale);
            break;

        case _InputArray::UMAT:
            src.getUMat().convertTo(dst, depth, scale);
            break;

        default:
            src.getMat().convertTo(dst, depth, scale);
            break;
        }
    }
}

Mat cv::superres::convertToType(const Mat& src, int type, Mat& buf0, Mat& buf1)
{
    if (src.type() == type)
        return src;

    const int depth = CV_MAT_DEPTH(type);
    const int cn = CV_MAT_CN(type);

    if (src.depth() == depth)
    {
        convertToCn(src, buf0, cn);
        return buf0;
    }

    if (src.channels() == cn)
    {
        convertToDepth(src, buf1, depth);
        return buf1;
    }

    convertToCn(src, buf0, cn);
    convertToDepth(buf0, buf1, depth);
    return buf1;
}

UMat cv::superres::convertToType(const UMat& src, int type, UMat& buf0, UMat& buf1)
{
    if (src.type() == type)
        return src;

    const int depth = CV_MAT_DEPTH(type);
    const int cn = CV_MAT_CN(type);

    if (src.depth() == depth)
    {
        convertToCn(src, buf0, cn);
        return buf0;
    }

    if (src.channels() == cn)
    {
        convertToDepth(src, buf1, depth);
        return buf1;
    }

    convertToCn(src, buf0, cn);
    convertToDepth(buf0, buf1, depth);
    return buf1;
}

GpuMat cv::superres::convertToType(const GpuMat& src, int type, GpuMat& buf0, GpuMat& buf1)
{
    if (src.type() == type)
        return src;

    const int depth = CV_MAT_DEPTH(type);
    const int cn = CV_MAT_CN(type);

    if (src.depth() == depth)
    {
        convertToCn(src, buf0, cn);
        return buf0;
    }

    if (src.channels() == cn)
    {
        convertToDepth(src, buf1, depth);
        return buf1;
    }

    convertToCn(src, buf0, cn);
    convertToDepth(buf0, buf1, depth);
    return buf1;
}