Super Resolution module
This commit is contained in:
Vladislav Vinogradov
273
modules/superres/src/input_array_utility.cpp
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273
modules/superres/src/input_array_utility.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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Mat cv::superres::arrGetMat(InputArray arr, Mat& buf)
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{
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switch (arr.kind())
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{
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case _InputArray::GPU_MAT:
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arr.getGpuMat().download(buf);
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return buf;
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case _InputArray::OPENGL_BUFFER:
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arr.getOGlBuffer().copyTo(buf);
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return buf;
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case _InputArray::OPENGL_TEXTURE:
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arr.getOGlTexture2D().copyTo(buf);
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return buf;
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default:
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return arr.getMat();
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}
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}
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GpuMat cv::superres::arrGetGpuMat(InputArray arr, GpuMat& buf)
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{
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switch (arr.kind())
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{
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case _InputArray::GPU_MAT:
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return arr.getGpuMat();
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case _InputArray::OPENGL_BUFFER:
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arr.getOGlBuffer().copyTo(buf);
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return buf;
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case _InputArray::OPENGL_TEXTURE:
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arr.getOGlTexture2D().copyTo(buf);
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return buf;
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default:
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buf.upload(arr.getMat());
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return buf;
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}
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}
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namespace
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{
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void mat2mat(InputArray src, OutputArray dst)
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{
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src.getMat().copyTo(dst);
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}
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void arr2buf(InputArray src, OutputArray dst)
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{
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dst.getOGlBufferRef().copyFrom(src);
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}
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void arr2tex(InputArray src, OutputArray dst)
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{
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dst.getOGlTexture2D().copyFrom(src);
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}
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void mat2gpu(InputArray src, OutputArray dst)
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{
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dst.getGpuMatRef().upload(src.getMat());
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}
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void buf2arr(InputArray src, OutputArray dst)
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{
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src.getOGlBuffer().copyTo(dst);
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}
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void tex2arr(InputArray src, OutputArray dst)
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{
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src.getOGlTexture2D().copyTo(dst);
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}
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void gpu2mat(InputArray src, OutputArray dst)
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{
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GpuMat d = src.getGpuMat();
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dst.create(d.size(), d.type());
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Mat m = dst.getMat();
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d.download(m);
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}
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void gpu2gpu(InputArray src, OutputArray dst)
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{
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src.getGpuMat().copyTo(dst.getGpuMatRef());
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}
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}
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void cv::superres::arrCopy(InputArray src, OutputArray dst)
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{
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typedef void (*func_t)(InputArray src, OutputArray dst);
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static const func_t funcs[10][10] =
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{
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{0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
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{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
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{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
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{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
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{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
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{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
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{0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, arr2tex, mat2gpu},
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{0, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr},
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{0, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr, tex2arr},
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{0, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, arr2buf, arr2tex, gpu2gpu}
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};
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const int src_kind = src.kind() >> _InputArray::KIND_SHIFT;
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const int dst_kind = dst.kind() >> _InputArray::KIND_SHIFT;
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CV_DbgAssert( src_kind >= 0 && src_kind < 10 );
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CV_DbgAssert( dst_kind >= 0 && dst_kind < 10 );
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const func_t func = funcs[src_kind][dst_kind];
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CV_DbgAssert( func != 0 );
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func(src, dst);
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}
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namespace
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{
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void convertToCn(InputArray src, OutputArray dst, int cn)
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{
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CV_Assert( src.channels() == 1 || src.channels() == 3 || src.channels() == 4 );
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CV_Assert( cn == 1 || cn == 3 || cn == 4 );
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static const int codes[5][5] =
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{
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{-1, -1, -1, -1, -1},
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{-1, -1, -1, COLOR_GRAY2BGR, COLOR_GRAY2BGRA},
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{-1, -1, -1, -1, -1},
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{-1, COLOR_BGR2GRAY, -1, -1, COLOR_BGR2BGRA},
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{-1, COLOR_BGRA2GRAY, -1, COLOR_BGRA2BGR, -1},
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};
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const int code = codes[src.channels()][cn];
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CV_DbgAssert( code >= 0 );
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switch (src.kind())
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{
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case _InputArray::GPU_MAT:
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#ifdef HAVE_OPENCV_GPU
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gpu::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn);
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#else
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CV_Error(CV_StsNotImplemented, "The called functionality is disabled for current build or platform");
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#endif
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break;
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default:
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cvtColor(src, dst, code, cn);
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break;
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}
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}
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void convertToDepth(InputArray src, OutputArray dst, int depth)
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{
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CV_Assert( src.depth() <= CV_64F );
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CV_Assert( depth == CV_8U || depth == CV_32F );
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static const double maxVals[] =
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{
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numeric_limits<uchar>::max(),
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numeric_limits<schar>::max(),
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numeric_limits<ushort>::max(),
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numeric_limits<short>::max(),
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numeric_limits<int>::max(),
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1.0,
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1.0,
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};
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const double scale = maxVals[depth] / maxVals[src.depth()];
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switch (src.kind())
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{
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case _InputArray::GPU_MAT:
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src.getGpuMat().convertTo(dst.getGpuMatRef(), depth, scale);
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break;
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default:
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src.getMat().convertTo(dst, depth, scale);
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break;
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}
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}
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}
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Mat cv::superres::convertToType(const Mat& src, int type, Mat& buf0, Mat& buf1)
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{
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if (src.type() == type)
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return src;
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const int depth = CV_MAT_DEPTH(type);
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const int cn = CV_MAT_CN(type);
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if (src.depth() == depth)
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{
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convertToCn(src, buf0, cn);
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return buf0;
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}
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if (src.channels() == cn)
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{
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convertToDepth(src, buf1, depth);
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return buf1;
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}
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convertToCn(src, buf0, cn);
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convertToDepth(buf0, buf1, depth);
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return buf1;
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}
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GpuMat cv::superres::convertToType(const GpuMat& src, int type, GpuMat& buf0, GpuMat& buf1)
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{
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if (src.type() == type)
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return src;
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const int depth = CV_MAT_DEPTH(type);
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const int cn = CV_MAT_CN(type);
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if (src.depth() == depth)
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{
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convertToCn(src, buf0, cn);
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return buf0;
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}
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if (src.channels() == cn)
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{
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convertToDepth(src, buf1, depth);
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return buf1;
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}
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convertToCn(src, buf0, cn);
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convertToDepth(buf0, buf1, depth);
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return buf1;
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}
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