Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

273 lines
8.2 KiB

/*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::gpu;
Mat cv::superres::arrGetMat(InputArray arr, Mat& buf)
{
switch (arr.kind())
{
case _InputArray::GPU_MAT:
arr.getGpuMat().download(buf);
return buf;
case _InputArray::OPENGL_BUFFER:
arr.getOGlBuffer().copyTo(buf);
return buf;
case _InputArray::OPENGL_TEXTURE:
arr.getOGlTexture2D().copyTo(buf);
return buf;
default:
return arr.getMat();
}
}
GpuMat cv::superres::arrGetGpuMat(InputArray arr, GpuMat& buf)
{
switch (arr.kind())
{
case _InputArray::GPU_MAT:
return arr.getGpuMat();
case _InputArray::OPENGL_BUFFER:
arr.getOGlBuffer().copyTo(buf);
return buf;
case _InputArray::OPENGL_TEXTURE:
arr.getOGlTexture2D().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 arr2tex(InputArray src, OutputArray dst)
{
dst.getOGlTexture2D().copyFrom(src);
}
void mat2gpu(InputArray src, OutputArray dst)
{
dst.getGpuMatRef().upload(src.getMat());
}
void buf2arr(InputArray src, OutputArray dst)
{
src.getOGlBuffer().copyTo(dst);
}
void tex2arr(InputArray src, OutputArray dst)
{
src.getOGlTexture2D().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)
{
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, arr2tex, mat2gpu},
{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
{0, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr},
{0, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr},
{0, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, arr2buf, arr2tex, gpu2gpu}
};
const int src_kind = src.kind() >> _InputArray::KIND_SHIFT;
const int dst_kind = dst.kind() >> _InputArray::KIND_SHIFT;
CV_DbgAssert( src_kind >= 0 && src_kind < 10 );
CV_DbgAssert( dst_kind >= 0 && dst_kind < 10 );
const func_t func = funcs[src_kind][dst_kind];
CV_DbgAssert( func != 0 );
func(src, dst);
}
namespace
{
void convertToCn(InputArray src, OutputArray dst, int cn)
{
CV_Assert( src.channels() == 1 || src.channels() == 3 || src.channels() == 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[src.channels()][cn];
CV_DbgAssert( code >= 0 );
switch (src.kind())
{
case _InputArray::GPU_MAT:
#ifdef HAVE_OPENCV_GPU
gpu::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn);
#else
CV_Error(CV_StsNotImplemented, "The called functionality is disabled for current build or platform");
#endif
break;
default:
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::GPU_MAT:
src.getGpuMat().convertTo(dst.getGpuMatRef(), 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;
}
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;
}