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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, 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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/* ////////////////////////////////////////////////////////////////////
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//
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// Mat basic operations: Copy, Set
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//
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// */
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#include "precomp.hpp"
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namespace cv
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{
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template<typename T> static void
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copyMask_(const Mat& srcmat, Mat& dstmat, const Mat& maskmat)
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{
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const uchar* mask = maskmat.data;
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size_t sstep = srcmat.step;
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size_t dstep = dstmat.step;
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size_t mstep = maskmat.step;
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Size size = getContinuousSize(srcmat, dstmat, maskmat);
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for( int y = 0; y < size.height; y++, mask += mstep )
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{
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const T* src = (const T*)(srcmat.data + sstep*y);
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T* dst = (T*)(dstmat.data + dstep*y);
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int x = 0;
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for( ; x <= size.width - 4; x += 4 )
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{
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if( mask[x] )
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dst[x] = src[x];
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if( mask[x+1] )
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dst[x+1] = src[x+1];
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if( mask[x+2] )
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dst[x+2] = src[x+2];
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if( mask[x+3] )
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dst[x+3] = src[x+3];
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}
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for( ; x < size.width; x++ )
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if( mask[x] )
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dst[x] = src[x];
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}
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}
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template<typename T> static void
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setMask_(const void* _scalar, Mat& dstmat, const Mat& maskmat)
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{
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T scalar = *(T*)_scalar;
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const uchar* mask = maskmat.data;
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size_t dstep = dstmat.step;
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size_t mstep = maskmat.step;
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Size size = dstmat.size();
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if( dstmat.isContinuous() && maskmat.isContinuous() )
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{
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size.width *= size.height;
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size.height = 1;
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}
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for( int y = 0; y < size.height; y++, mask += mstep )
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{
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T* dst = (T*)(dstmat.data + dstep*y);
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int x = 0;
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for( ; x <= size.width - 4; x += 4 )
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{
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if( mask[x] )
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dst[x] = scalar;
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if( mask[x+1] )
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dst[x+1] = scalar;
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if( mask[x+2] )
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dst[x+2] = scalar;
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if( mask[x+3] )
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dst[x+3] = scalar;
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}
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for( ; x < size.width; x++ )
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if( mask[x] )
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dst[x] = scalar;
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}
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}
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typedef void (*SetMaskFunc)(const void* scalar, Mat& dst, const Mat& mask);
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CopyMaskFunc g_copyMaskFuncTab[] =
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{
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0,
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copyMask_<uchar>, // 1
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copyMask_<ushort>, // 2
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copyMask_<Vec<uchar,3> >, // 3
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copyMask_<int>, // 4
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0,
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copyMask_<Vec<ushort,3> >, // 6
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0,
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copyMask_<Vec<int,2> >, // 8
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0, 0, 0,
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copyMask_<Vec<int,3> >, // 12
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0, 0, 0,
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copyMask_<Vec<int,4> >, // 16
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0, 0, 0, 0, 0, 0, 0,
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copyMask_<Vec<int,6> >, // 24
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0, 0, 0, 0, 0, 0, 0,
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copyMask_<Vec<int,8> > // 32
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};
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static SetMaskFunc setMaskFuncTab[] =
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{
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0,
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setMask_<uchar>, // 1
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setMask_<ushort>, // 2
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setMask_<Vec<uchar,3> >, // 3
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setMask_<int>, // 4
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0,
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setMask_<Vec<ushort,3> >, // 6
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0,
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setMask_<Vec<int,2> >, // 8
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0, 0, 0,
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setMask_<Vec<int,3> >, // 12
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0, 0, 0,
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setMask_<Vec<int,4> >, // 16
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0, 0, 0, 0, 0, 0, 0,
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setMask_<Vec<int,6> >, // 24
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0, 0, 0, 0, 0, 0, 0,
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setMask_<Vec<int,8> > // 32
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};
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/* dst = src */
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void Mat::copyTo( Mat& dst ) const
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{
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if( data == dst.data && data != 0 )
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return;
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if( dims > 2 )
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{
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dst.create( dims, size, type() );
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if( total() != 0 )
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{
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const Mat* arrays[] = { this, &dst, 0 };
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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CV_DbgAssert(it.planes[0].isContinuous() &&
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it.planes[1].isContinuous());
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size_t planeSize = it.planes[0].elemSize()*it.planes[0].rows*it.planes[0].cols;
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for( int i = 0; i < it.nplanes; i++, ++it )
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memcpy(it.planes[1].data, it.planes[0].data, planeSize);
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}
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return;
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}
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dst.create( rows, cols, type() );
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Size sz = size();
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if( rows > 0 && cols > 0 )
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{
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const uchar* sptr = data;
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uchar* dptr = dst.data;
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size_t width = sz.width*elemSize();
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if( isContinuous() && dst.isContinuous() )
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{
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width *= sz.height;
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sz.height = 1;
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}
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for( ; sz.height--; sptr += step, dptr += dst.step )
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memcpy( dptr, sptr, width );
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}
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}
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void Mat::copyTo( Mat& dst, const Mat& mask ) const
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{
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if( !mask.data )
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{
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copyTo(dst);
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return;
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}
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if( dims > 2 )
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{
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dst.create( dims, size, type() );
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const Mat* arrays[] = { this, &dst, &mask, 0 };
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Mat planes[3];
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NAryMatIterator it(arrays, planes);
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for( int i = 0; i < it.nplanes; i++, ++it )
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it.planes[0].copyTo(it.planes[1], it.planes[2]);
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return;
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}
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uchar* data0 = dst.data;
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dst.create( size(), type() );
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if( dst.data != data0 ) // do not leave dst uninitialized
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dst = Scalar(0);
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getCopyMaskFunc((int)elemSize())(*this, dst, mask);
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}
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Mat& Mat::operator = (const Scalar& s)
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{
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if( dims > 2 )
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{
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const Mat* arrays[] = { this, 0 };
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Mat planes[1];
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NAryMatIterator it(arrays, planes);
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for( int i = 0; i < it.nplanes; i++, ++it )
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it.planes[0] = s;
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return *this;
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}
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Size sz = size();
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uchar* dst = data;
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sz.width *= (int)elemSize();
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if( isContinuous() )
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{
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sz.width *= sz.height;
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sz.height = 1;
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}
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if( s[0] == 0 && s[1] == 0 && s[2] == 0 && s[3] == 0 )
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{
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for( ; sz.height--; dst += step )
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memset( dst, 0, sz.width );
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}
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else
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{
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int t = type(), esz1 = (int)elemSize1();
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double scalar[12];
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scalarToRawData(s, scalar, t, 12);
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int copy_len = 12*esz1;
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uchar* dst_limit = dst + sz.width;
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if( sz.height-- )
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{
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while( dst + copy_len <= dst_limit )
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{
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memcpy( dst, scalar, copy_len );
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dst += copy_len;
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}
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memcpy( dst, scalar, dst_limit - dst );
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}
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if( sz.height > 0 )
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{
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dst = dst_limit - sz.width + step;
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for( ; sz.height--; dst += step )
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memcpy( dst, data, sz.width );
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}
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}
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return *this;
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}
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Mat& Mat::setTo(const Scalar& s, const Mat& mask)
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{
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if( !mask.data )
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*this = s;
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else
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{
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CV_Assert( channels() <= 4 );
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SetMaskFunc func = setMaskFuncTab[elemSize()];
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CV_Assert( func != 0 );
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double buf[4];
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scalarToRawData(s, buf, type(), 0);
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if( dims > 2 )
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{
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const Mat* arrays[] = { this, &mask, 0 };
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Mat planes[2];
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NAryMatIterator it(arrays, planes);
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for( int i = 0; i < it.nplanes; i++, ++it )
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func(buf, it.planes[0], it.planes[1]);
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}
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else
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func(buf, *this, mask);
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}
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return *this;
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}
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template<typename T> static void
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flipHoriz_( const Mat& srcmat, Mat& dstmat, bool flipv )
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{
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uchar* dst0 = dstmat.data;
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size_t srcstep = srcmat.step;
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int dststep = (int)dstmat.step;
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Size size = srcmat.size();
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if( flipv )
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{
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dst0 += (size.height - 1)*dststep;
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dststep = -dststep;
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}
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for( int y = 0; y < size.height; y++ )
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{
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const T* src = (const T*)(srcmat.data + srcstep*y);
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T* dst = (T*)(dst0 + dststep*y);
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for( int i = 0; i < (size.width + 1)/2; i++ )
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{
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T t0 = src[i], t1 = src[size.width - i - 1];
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dst[i] = t1; dst[size.width - i - 1] = t0;
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}
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}
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}
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|
typedef void (*FlipHorizFunc)( const Mat& src, Mat& dst, bool flipv );
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|
static void
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|
flipVert( const Mat& srcmat, Mat& dstmat )
|
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|
{
|
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|
|
const uchar* src = srcmat.data;
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|
uchar* dst = dstmat.data;
|
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|
size_t srcstep = srcmat.step, dststep = dstmat.step;
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|
Size size = srcmat.size();
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const uchar* src1 = src + (size.height - 1)*srcstep;
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|
uchar* dst1 = dst + (size.height - 1)*dststep;
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|
size.width *= (int)srcmat.elemSize();
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|
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|
for( int y = 0; y < (size.height + 1)/2; y++, src += srcstep, src1 -= srcstep,
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|
dst += dststep, dst1 -= dststep )
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|
|
{
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|
int i = 0;
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|
if( ((size_t)(src)|(size_t)(dst)|(size_t)src1|(size_t)dst1) % sizeof(int) == 0 )
|
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|
|
{
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|
for( ; i <= size.width - 16; i += 16 )
|
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|
|
{
|
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|
|
int t0 = ((int*)(src + i))[0];
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|
int t1 = ((int*)(src1 + i))[0];
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|
((int*)(dst + i))[0] = t1;
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|
((int*)(dst1 + i))[0] = t0;
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|
|
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|
t0 = ((int*)(src + i))[1];
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|
t1 = ((int*)(src1 + i))[1];
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((int*)(dst + i))[1] = t1;
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|
((int*)(dst1 + i))[1] = t0;
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|
|
|
|
t0 = ((int*)(src + i))[2];
|
|
|
|
t1 = ((int*)(src1 + i))[2];
|
|
|
|
|
|
|
|
((int*)(dst + i))[2] = t1;
|
|
|
|
((int*)(dst1 + i))[2] = t0;
|
|
|
|
|
|
|
|
t0 = ((int*)(src + i))[3];
|
|
|
|
t1 = ((int*)(src1 + i))[3];
|
|
|
|
|
|
|
|
((int*)(dst + i))[3] = t1;
|
|
|
|
((int*)(dst1 + i))[3] = t0;
|
|
|
|
}
|
|
|
|
|
|
|
|
for( ; i <= size.width - 4; i += 4 )
|
|
|
|
{
|
|
|
|
int t0 = ((int*)(src + i))[0];
|
|
|
|
int t1 = ((int*)(src1 + i))[0];
|
|
|
|
|
|
|
|
((int*)(dst + i))[0] = t1;
|
|
|
|
((int*)(dst1 + i))[0] = t0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
for( ; i < size.width; i++ )
|
|
|
|
{
|
|
|
|
uchar t0 = src[i];
|
|
|
|
uchar t1 = src1[i];
|
|
|
|
|
|
|
|
dst[i] = t1;
|
|
|
|
dst1[i] = t0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void flip( const Mat& src, Mat& dst, int flip_mode )
|
|
|
|
{
|
|
|
|
static FlipHorizFunc tab[] =
|
|
|
|
{
|
|
|
|
0,
|
|
|
|
flipHoriz_<uchar>, // 1
|
|
|
|
flipHoriz_<ushort>, // 2
|
|
|
|
flipHoriz_<Vec<uchar,3> >, // 3
|
|
|
|
flipHoriz_<int>, // 4
|
|
|
|
0,
|
|
|
|
flipHoriz_<Vec<ushort,3> >, // 6
|
|
|
|
0,
|
|
|
|
flipHoriz_<Vec<int,2> >, // 8
|
|
|
|
0, 0, 0,
|
|
|
|
flipHoriz_<Vec<int,3> >, // 12
|
|
|
|
0, 0, 0,
|
|
|
|
flipHoriz_<Vec<int,4> >, // 16
|
|
|
|
0, 0, 0, 0, 0, 0, 0,
|
|
|
|
flipHoriz_<Vec<int,6> >, // 24
|
|
|
|
0, 0, 0, 0, 0, 0, 0,
|
|
|
|
flipHoriz_<Vec<int,8> > // 32
|
|
|
|
};
|
|
|
|
|
|
|
|
CV_Assert( src.dims <= 2 );
|
|
|
|
dst.create( src.size(), src.type() );
|
|
|
|
|
|
|
|
if( flip_mode == 0 )
|
|
|
|
flipVert( src, dst );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int esz = (int)src.elemSize();
|
|
|
|
CV_Assert( esz <= 32 );
|
|
|
|
FlipHorizFunc func = tab[esz];
|
|
|
|
CV_Assert( func != 0 );
|
|
|
|
|
|
|
|
if( flip_mode > 0 )
|
|
|
|
func( src, dst, false );
|
|
|
|
else if( src.data != dst.data )
|
|
|
|
func( src, dst, true );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
func( dst, dst, false );
|
|
|
|
flipVert( dst, dst );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
void repeat(const Mat& src, int ny, int nx, Mat& dst)
|
|
|
|
{
|
|
|
|
CV_Assert( src.dims <= 2 );
|
|
|
|
|
|
|
|
dst.create(src.rows*ny, src.cols*nx, src.type());
|
|
|
|
Size ssize = src.size(), dsize = dst.size();
|
|
|
|
int esz = (int)src.elemSize();
|
|
|
|
int x, y;
|
|
|
|
ssize.width *= esz; dsize.width *= esz;
|
|
|
|
|
|
|
|
for( y = 0; y < ssize.height; y++ )
|
|
|
|
{
|
|
|
|
for( x = 0; x < dsize.width; x += ssize.width )
|
|
|
|
memcpy( dst.data + y*dst.step + x, src.data + y*src.step, ssize.width );
|
|
|
|
}
|
|
|
|
|
|
|
|
for( ; y < dsize.height; y++ )
|
|
|
|
memcpy( dst.data + y*dst.step, dst.data + (y - ssize.height)*dst.step, dsize.width );
|
|
|
|
}
|
|
|
|
|
|
|
|
Mat repeat(const Mat& src, int ny, int nx)
|
|
|
|
{
|
|
|
|
if( nx == 1 && ny == 1 )
|
|
|
|
return src;
|
|
|
|
Mat dst;
|
|
|
|
repeat(src, ny, nx, dst);
|
|
|
|
return dst;
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
/* dst = src */
|
|
|
|
CV_IMPL void
|
|
|
|
cvCopy( const void* srcarr, void* dstarr, const void* maskarr )
|
|
|
|
{
|
|
|
|
if( CV_IS_SPARSE_MAT(srcarr) && CV_IS_SPARSE_MAT(dstarr))
|
|
|
|
{
|
|
|
|
CV_Assert( maskarr == 0 );
|
|
|
|
CvSparseMat* src1 = (CvSparseMat*)srcarr;
|
|
|
|
CvSparseMat* dst1 = (CvSparseMat*)dstarr;
|
|
|
|
CvSparseMatIterator iterator;
|
|
|
|
CvSparseNode* node;
|
|
|
|
|
|
|
|
dst1->dims = src1->dims;
|
|
|
|
memcpy( dst1->size, src1->size, src1->dims*sizeof(src1->size[0]));
|
|
|
|
dst1->valoffset = src1->valoffset;
|
|
|
|
dst1->idxoffset = src1->idxoffset;
|
|
|
|
cvClearSet( dst1->heap );
|
|
|
|
|
|
|
|
if( src1->heap->active_count >= dst1->hashsize*CV_SPARSE_HASH_RATIO )
|
|
|
|
{
|
|
|
|
cvFree( &dst1->hashtable );
|
|
|
|
dst1->hashsize = src1->hashsize;
|
|
|
|
dst1->hashtable =
|
|
|
|
(void**)cvAlloc( dst1->hashsize*sizeof(dst1->hashtable[0]));
|
|
|
|
}
|
|
|
|
|
|
|
|
memset( dst1->hashtable, 0, dst1->hashsize*sizeof(dst1->hashtable[0]));
|
|
|
|
|
|
|
|
for( node = cvInitSparseMatIterator( src1, &iterator );
|
|
|
|
node != 0; node = cvGetNextSparseNode( &iterator ))
|
|
|
|
{
|
|
|
|
CvSparseNode* node_copy = (CvSparseNode*)cvSetNew( dst1->heap );
|
|
|
|
int tabidx = node->hashval & (dst1->hashsize - 1);
|
|
|
|
CV_MEMCPY_AUTO( node_copy, node, dst1->heap->elem_size );
|
|
|
|
node_copy->next = (CvSparseNode*)dst1->hashtable[tabidx];
|
|
|
|
dst1->hashtable[tabidx] = node_copy;
|
|
|
|
}
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
cv::Mat src = cv::cvarrToMat(srcarr, false, true, 1), dst = cv::cvarrToMat(dstarr, false, true, 1);
|
|
|
|
CV_Assert( src.depth() == dst.depth() && src.size == dst.size );
|
|
|
|
|
|
|
|
int coi1 = 0, coi2 = 0;
|
|
|
|
if( CV_IS_IMAGE(srcarr) )
|
|
|
|
coi1 = cvGetImageCOI((const IplImage*)srcarr);
|
|
|
|
if( CV_IS_IMAGE(dstarr) )
|
|
|
|
coi2 = cvGetImageCOI((const IplImage*)dstarr);
|
|
|
|
|
|
|
|
if( coi1 || coi2 )
|
|
|
|
{
|
|
|
|
CV_Assert( (coi1 != 0 || src.channels() == 1) &&
|
|
|
|
(coi2 != 0 || dst.channels() == 1) );
|
|
|
|
|
|
|
|
int pair[] = { std::max(coi1-1, 0), std::max(coi2-1, 0) };
|
|
|
|
cv::mixChannels( &src, 1, &dst, 1, pair, 1 );
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Assert( src.channels() == dst.channels() );
|
|
|
|
|
|
|
|
if( !maskarr )
|
|
|
|
src.copyTo(dst);
|
|
|
|
else
|
|
|
|
src.copyTo(dst, cv::cvarrToMat(maskarr));
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSet( void* arr, CvScalar value, const void* maskarr )
|
|
|
|
{
|
|
|
|
cv::Mat m = cv::cvarrToMat(arr);
|
|
|
|
if( !maskarr )
|
|
|
|
m = value;
|
|
|
|
else
|
|
|
|
m.setTo(value, cv::cvarrToMat(maskarr));
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetZero( CvArr* arr )
|
|
|
|
{
|
|
|
|
if( CV_IS_SPARSE_MAT(arr) )
|
|
|
|
{
|
|
|
|
CvSparseMat* mat1 = (CvSparseMat*)arr;
|
|
|
|
cvClearSet( mat1->heap );
|
|
|
|
if( mat1->hashtable )
|
|
|
|
memset( mat1->hashtable, 0, mat1->hashsize*sizeof(mat1->hashtable[0]));
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
cv::Mat m = cv::cvarrToMat(arr);
|
|
|
|
m = cv::Scalar(0);
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvFlip( const CvArr* srcarr, CvArr* dstarr, int flip_mode )
|
|
|
|
{
|
|
|
|
cv::Mat src = cv::cvarrToMat(srcarr);
|
|
|
|
cv::Mat dst;
|
|
|
|
|
|
|
|
if (!dstarr)
|
|
|
|
dst = src;
|
|
|
|
else
|
|
|
|
dst = cv::cvarrToMat(dstarr);
|
|
|
|
|
|
|
|
CV_Assert( src.type() == dst.type() && src.size() == dst.size() );
|
|
|
|
cv::flip( src, dst, flip_mode );
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvRepeat( const CvArr* srcarr, CvArr* dstarr )
|
|
|
|
{
|
|
|
|
cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr);
|
|
|
|
CV_Assert( src.type() == dst.type() &&
|
|
|
|
dst.rows % src.rows == 0 && dst.cols % src.cols == 0 );
|
|
|
|
cv::repeat(src, dst.rows/src.rows, dst.cols/src.cols, dst);
|
|
|
|
}
|
|
|
|
|
|
|
|
/* End of file. */
|