/*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*/ /* //////////////////////////////////////////////////////////////////// // // Mat basic operations: Copy, Set // // */ #include "precomp.hpp" namespace cv { template static void copyMask_(const Mat& srcmat, Mat& dstmat, const Mat& maskmat) { const uchar* mask = maskmat.data; size_t sstep = srcmat.step; size_t dstep = dstmat.step; size_t mstep = maskmat.step; Size size = getContinuousSize(srcmat, dstmat, maskmat); for( int y = 0; y < size.height; y++, mask += mstep ) { const T* src = (const T*)(srcmat.data + sstep*y); T* dst = (T*)(dstmat.data + dstep*y); int x = 0; for( ; x <= size.width - 4; x += 4 ) { if( mask[x] ) dst[x] = src[x]; if( mask[x+1] ) dst[x+1] = src[x+1]; if( mask[x+2] ) dst[x+2] = src[x+2]; if( mask[x+3] ) dst[x+3] = src[x+3]; } for( ; x < size.width; x++ ) if( mask[x] ) dst[x] = src[x]; } } template static void setMask_(const void* _scalar, Mat& dstmat, const Mat& maskmat) { T scalar = *(T*)_scalar; const uchar* mask = maskmat.data; size_t dstep = dstmat.step; size_t mstep = maskmat.step; Size size = dstmat.size(); if( dstmat.isContinuous() && maskmat.isContinuous() ) { size.width *= size.height; size.height = 1; } for( int y = 0; y < size.height; y++, mask += mstep ) { T* dst = (T*)(dstmat.data + dstep*y); int x = 0; for( ; x <= size.width - 4; x += 4 ) { if( mask[x] ) dst[x] = scalar; if( mask[x+1] ) dst[x+1] = scalar; if( mask[x+2] ) dst[x+2] = scalar; if( mask[x+3] ) dst[x+3] = scalar; } for( ; x < size.width; x++ ) if( mask[x] ) dst[x] = scalar; } } typedef void (*SetMaskFunc)(const void* scalar, Mat& dst, const Mat& mask); CopyMaskFunc g_copyMaskFuncTab[] = { 0, copyMask_, // 1 copyMask_, // 2 copyMask_ >, // 3 copyMask_, // 4 0, copyMask_ >, // 6 0, copyMask_, // 8 0, 0, 0, copyMask_ >, // 12 0, 0, 0, copyMask_ >, // 16 0, 0, 0, 0, 0, 0, 0, copyMask_ >, // 24 0, 0, 0, 0, 0, 0, 0, copyMask_ > // 32 }; static SetMaskFunc setMaskFuncTab[] = { 0, setMask_, // 1 setMask_, // 2 setMask_ >, // 3 setMask_, // 4 0, setMask_ >, // 6 0, setMask_, // 8 0, 0, 0, setMask_ >, // 12 0, 0, 0, setMask_ >, // 16 0, 0, 0, 0, 0, 0, 0, setMask_ >, // 24 0, 0, 0, 0, 0, 0, 0, setMask_ > // 32 }; /* dst = src */ void Mat::copyTo( Mat& dst ) const { if( data == dst.data ) return; dst.create( rows, cols, type() ); Size sz = size(); const uchar* sptr = data; uchar* dptr = dst.data; sz.width *= (int)elemSize(); if( isContinuous() && dst.isContinuous() ) { sz.width *= sz.height; sz.height = 1; } for( ; sz.height--; sptr += step, dptr += dst.step ) memcpy( dptr, sptr, sz.width ); } void Mat::copyTo( Mat& dst, const Mat& mask ) const { if( !mask.data ) { copyTo(dst); return; } uchar* data0 = dst.data; dst.create( size(), type() ); if( dst.data != data0 ) // do not leave dst uninitialized dst = Scalar(0); getCopyMaskFunc((int)elemSize())(*this, dst, mask); } Mat& Mat::operator = (const Scalar& s) { Size sz = size(); uchar* dst = data; sz.width *= (int)elemSize(); if( isContinuous() ) { sz.width *= sz.height; sz.height = 1; } if( s[0] == 0 && s[1] == 0 && s[2] == 0 && s[3] == 0 ) { for( ; sz.height--; dst += step ) memset( dst, 0, sz.width ); } else { int t = type(), esz1 = (int)elemSize1(); double scalar[12]; scalarToRawData(s, scalar, t, 12); int copy_len = 12*esz1; uchar* dst_limit = dst + sz.width; if( sz.height-- ) { while( dst + copy_len <= dst_limit ) { memcpy( dst, scalar, copy_len ); dst += copy_len; } memcpy( dst, scalar, dst_limit - dst ); } if( sz.height > 0 ) { dst = dst_limit - sz.width + step; for( ; sz.height--; dst += step ) memcpy( dst, data, sz.width ); } } return *this; } Mat& Mat::setTo(const Scalar& s, const Mat& mask) { if( !mask.data ) *this = s; else { CV_Assert( channels() <= 4 ); SetMaskFunc func = setMaskFuncTab[elemSize()]; CV_Assert( func != 0 ); double buf[4]; scalarToRawData(s, buf, type(), 0); func(buf, *this, mask); } return *this; } template static void flipHoriz_( const Mat& srcmat, Mat& dstmat, bool flipv ) { uchar* dst0 = dstmat.data; size_t srcstep = srcmat.step; int dststep = (int)dstmat.step; Size size = srcmat.size(); if( flipv ) { dst0 += (size.height - 1)*dststep; dststep = -dststep; } for( int y = 0; y < size.height; y++ ) { const T* src = (const T*)(srcmat.data + srcstep*y); T* dst = (T*)(dst0 + dststep*y); for( int i = 0; i < (size.width + 1)/2; i++ ) { T t0 = src[i], t1 = src[size.width - i - 1]; dst[i] = t1; dst[size.width - i - 1] = t0; } } } typedef void (*FlipHorizFunc)( const Mat& src, Mat& dst, bool flipv ); static void flipVert( const Mat& srcmat, Mat& dstmat ) { const uchar* src = srcmat.data; uchar* dst = dstmat.data; size_t srcstep = srcmat.step, dststep = dstmat.step; Size size = srcmat.size(); const uchar* src1 = src + (size.height - 1)*srcstep; uchar* dst1 = dst + (size.height - 1)*dststep; size.width *= (int)srcmat.elemSize(); for( int y = 0; y < (size.height + 1)/2; y++, src += srcstep, src1 -= srcstep, dst += dststep, dst1 -= dststep ) { int i = 0; if( ((size_t)(src)|(size_t)(dst)|(size_t)src1|(size_t)dst1) % sizeof(int) == 0 ) { for( ; i <= size.width - 16; i += 16 ) { int t0 = ((int*)(src + i))[0]; int t1 = ((int*)(src1 + i))[0]; ((int*)(dst + i))[0] = t1; ((int*)(dst1 + i))[0] = t0; t0 = ((int*)(src + i))[1]; t1 = ((int*)(src1 + i))[1]; ((int*)(dst + i))[1] = t1; ((int*)(dst1 + i))[1] = t0; 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_, // 1 flipHoriz_, // 2 flipHoriz_ >, // 3 flipHoriz_, // 4 0, flipHoriz_ >, // 6 0, flipHoriz_, // 8 0, 0, 0, flipHoriz_ >, // 12 0, 0, 0, flipHoriz_ >, // 16 0, 0, 0, 0, 0, 0, 0, flipHoriz_ >, // 24 0, 0, 0, 0, 0, 0, 0, flipHoriz_ > // 32 }; 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) { 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 ); } } /* 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. */