mirror of
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473 lines
15 KiB
C++
473 lines
15 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html
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#include "precomp.hpp"
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#include "opencl_kernels_core.hpp"
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#include "convert.hpp"
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/****************************************************************************************\
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* Generalized split/merge: mixing channels *
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\****************************************************************************************/
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namespace cv
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{
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template<typename T> static void
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mixChannels_( const T** src, const int* sdelta,
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T** dst, const int* ddelta,
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int len, int npairs )
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{
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int i, k;
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for( k = 0; k < npairs; k++ )
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{
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const T* s = src[k];
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T* d = dst[k];
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int ds = sdelta[k], dd = ddelta[k];
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if( s )
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{
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for( i = 0; i <= len - 2; i += 2, s += ds*2, d += dd*2 )
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{
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T t0 = s[0], t1 = s[ds];
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d[0] = t0; d[dd] = t1;
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}
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if( i < len )
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d[0] = s[0];
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}
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else
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{
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for( i = 0; i <= len - 2; i += 2, d += dd*2 )
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d[0] = d[dd] = 0;
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if( i < len )
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d[0] = 0;
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}
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}
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}
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static void mixChannels8u( const uchar** src, const int* sdelta,
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uchar** dst, const int* ddelta,
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int len, int npairs )
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{
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mixChannels_(src, sdelta, dst, ddelta, len, npairs);
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}
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static void mixChannels16u( const ushort** src, const int* sdelta,
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ushort** dst, const int* ddelta,
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int len, int npairs )
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{
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mixChannels_(src, sdelta, dst, ddelta, len, npairs);
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}
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static void mixChannels32s( const int** src, const int* sdelta,
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int** dst, const int* ddelta,
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int len, int npairs )
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{
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mixChannels_(src, sdelta, dst, ddelta, len, npairs);
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}
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static void mixChannels64s( const int64** src, const int* sdelta,
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int64** dst, const int* ddelta,
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int len, int npairs )
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{
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mixChannels_(src, sdelta, dst, ddelta, len, npairs);
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}
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typedef void (*MixChannelsFunc)( const uchar** src, const int* sdelta,
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uchar** dst, const int* ddelta, int len, int npairs );
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static MixChannelsFunc getMixchFunc(int depth)
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{
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static MixChannelsFunc mixchTab[] =
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{
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(MixChannelsFunc)mixChannels8u, (MixChannelsFunc)mixChannels8u, (MixChannelsFunc)mixChannels16u,
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(MixChannelsFunc)mixChannels16u, (MixChannelsFunc)mixChannels32s, (MixChannelsFunc)mixChannels32s,
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(MixChannelsFunc)mixChannels64s, 0
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};
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return mixchTab[depth];
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}
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} // cv::
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void cv::mixChannels( const Mat* src, size_t nsrcs, Mat* dst, size_t ndsts, const int* fromTo, size_t npairs )
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{
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CV_INSTRUMENT_REGION();
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if( npairs == 0 )
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return;
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CV_Assert( src && nsrcs > 0 && dst && ndsts > 0 && fromTo && npairs > 0 );
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size_t i, j, k, esz1 = dst[0].elemSize1();
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int depth = dst[0].depth();
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AutoBuffer<uchar> buf((nsrcs + ndsts + 1)*(sizeof(Mat*) + sizeof(uchar*)) + npairs*(sizeof(uchar*)*2 + sizeof(int)*6));
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const Mat** arrays = (const Mat**)(uchar*)buf.data();
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uchar** ptrs = (uchar**)(arrays + nsrcs + ndsts);
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const uchar** srcs = (const uchar**)(ptrs + nsrcs + ndsts + 1);
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uchar** dsts = (uchar**)(srcs + npairs);
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int* tab = (int*)(dsts + npairs);
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int *sdelta = (int*)(tab + npairs*4), *ddelta = sdelta + npairs;
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for( i = 0; i < nsrcs; i++ )
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arrays[i] = &src[i];
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for( i = 0; i < ndsts; i++ )
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arrays[i + nsrcs] = &dst[i];
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ptrs[nsrcs + ndsts] = 0;
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for( i = 0; i < npairs; i++ )
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{
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int i0 = fromTo[i*2], i1 = fromTo[i*2+1];
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if( i0 >= 0 )
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{
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for( j = 0; j < nsrcs; i0 -= src[j].channels(), j++ )
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if( i0 < src[j].channels() )
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break;
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CV_Assert(j < nsrcs && src[j].depth() == depth);
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tab[i*4] = (int)j; tab[i*4+1] = (int)(i0*esz1);
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sdelta[i] = src[j].channels();
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}
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else
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{
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tab[i*4] = (int)(nsrcs + ndsts); tab[i*4+1] = 0;
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sdelta[i] = 0;
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}
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for( j = 0; j < ndsts; i1 -= dst[j].channels(), j++ )
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if( i1 < dst[j].channels() )
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break;
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CV_Assert(i1 >= 0 && j < ndsts && dst[j].depth() == depth);
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tab[i*4+2] = (int)(j + nsrcs); tab[i*4+3] = (int)(i1*esz1);
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ddelta[i] = dst[j].channels();
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}
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NAryMatIterator it(arrays, ptrs, (int)(nsrcs + ndsts));
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int total = (int)it.size, blocksize = std::min(total, (int)((BLOCK_SIZE + esz1-1)/esz1));
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MixChannelsFunc func = getMixchFunc(depth);
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for( i = 0; i < it.nplanes; i++, ++it )
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{
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for( k = 0; k < npairs; k++ )
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{
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srcs[k] = ptrs[tab[k*4]] + tab[k*4+1];
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dsts[k] = ptrs[tab[k*4+2]] + tab[k*4+3];
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}
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for( int t = 0; t < total; t += blocksize )
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{
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int bsz = std::min(total - t, blocksize);
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func( srcs, sdelta, dsts, ddelta, bsz, (int)npairs );
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if( t + blocksize < total )
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for( k = 0; k < npairs; k++ )
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{
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srcs[k] += blocksize*sdelta[k]*esz1;
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dsts[k] += blocksize*ddelta[k]*esz1;
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}
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}
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}
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}
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#ifdef HAVE_OPENCL
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namespace cv {
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static void getUMatIndex(const std::vector<UMat> & um, int cn, int & idx, int & cnidx)
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{
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int totalChannels = 0;
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for (size_t i = 0, size = um.size(); i < size; ++i)
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{
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int ccn = um[i].channels();
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totalChannels += ccn;
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if (totalChannels == cn)
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{
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idx = (int)(i + 1);
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cnidx = 0;
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return;
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}
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else if (totalChannels > cn)
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{
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idx = (int)i;
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cnidx = i == 0 ? cn : (cn - totalChannels + ccn);
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return;
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}
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}
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idx = cnidx = -1;
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}
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static bool ocl_mixChannels(InputArrayOfArrays _src, InputOutputArrayOfArrays _dst,
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const int* fromTo, size_t npairs)
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{
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std::vector<UMat> src, dst;
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_src.getUMatVector(src);
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_dst.getUMatVector(dst);
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size_t nsrc = src.size(), ndst = dst.size();
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CV_Assert(nsrc > 0 && ndst > 0);
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Size size = src[0].size();
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int depth = src[0].depth(), esz = CV_ELEM_SIZE(depth),
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rowsPerWI = ocl::Device::getDefault().isIntel() ? 4 : 1;
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for (size_t i = 1, ssize = src.size(); i < ssize; ++i)
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CV_Assert(src[i].size() == size && src[i].depth() == depth);
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for (size_t i = 0, dsize = dst.size(); i < dsize; ++i)
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CV_Assert(dst[i].size() == size && dst[i].depth() == depth);
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String declsrc, decldst, declproc, declcn, indexdecl;
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std::vector<UMat> srcargs(npairs), dstargs(npairs);
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for (size_t i = 0; i < npairs; ++i)
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{
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int scn = fromTo[i<<1], dcn = fromTo[(i<<1) + 1];
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int src_idx, src_cnidx, dst_idx, dst_cnidx;
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getUMatIndex(src, scn, src_idx, src_cnidx);
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getUMatIndex(dst, dcn, dst_idx, dst_cnidx);
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CV_Assert(dst_idx >= 0 && src_idx >= 0);
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srcargs[i] = src[src_idx];
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srcargs[i].offset += src_cnidx * esz;
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dstargs[i] = dst[dst_idx];
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dstargs[i].offset += dst_cnidx * esz;
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declsrc += format("DECLARE_INPUT_MAT(%zu)", i);
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decldst += format("DECLARE_OUTPUT_MAT(%zu)", i);
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indexdecl += format("DECLARE_INDEX(%zu)", i);
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declproc += format("PROCESS_ELEM(%zu)", i);
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declcn += format(" -D scn%zu=%d -D dcn%zu=%d", i, src[src_idx].channels(), i, dst[dst_idx].channels());
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}
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ocl::Kernel k("mixChannels", ocl::core::mixchannels_oclsrc,
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format("-D T=%s -D DECLARE_INPUT_MAT_N=%s -D DECLARE_OUTPUT_MAT_N=%s"
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" -D PROCESS_ELEM_N=%s -D DECLARE_INDEX_N=%s%s",
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ocl::memopTypeToStr(depth), declsrc.c_str(), decldst.c_str(),
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declproc.c_str(), indexdecl.c_str(), declcn.c_str()));
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if (k.empty())
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return false;
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int argindex = 0;
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for (size_t i = 0; i < npairs; ++i)
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argindex = k.set(argindex, ocl::KernelArg::ReadOnlyNoSize(srcargs[i]));
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for (size_t i = 0; i < npairs; ++i)
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argindex = k.set(argindex, ocl::KernelArg::WriteOnlyNoSize(dstargs[i]));
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argindex = k.set(argindex, size.height);
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argindex = k.set(argindex, size.width);
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k.set(argindex, rowsPerWI);
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size_t globalsize[2] = { (size_t)size.width, ((size_t)size.height + rowsPerWI - 1) / rowsPerWI };
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return k.run(2, globalsize, NULL, false);
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}
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}
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#endif
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void cv::mixChannels(InputArrayOfArrays src, InputOutputArrayOfArrays dst,
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const int* fromTo, size_t npairs)
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{
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CV_INSTRUMENT_REGION();
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if (npairs == 0 || fromTo == NULL)
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return;
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CV_OCL_RUN(dst.isUMatVector(),
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ocl_mixChannels(src, dst, fromTo, npairs))
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bool src_is_mat = src.kind() != _InputArray::STD_VECTOR_MAT &&
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src.kind() != _InputArray::STD_ARRAY_MAT &&
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src.kind() != _InputArray::STD_VECTOR_VECTOR &&
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src.kind() != _InputArray::STD_VECTOR_UMAT;
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bool dst_is_mat = dst.kind() != _InputArray::STD_VECTOR_MAT &&
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dst.kind() != _InputArray::STD_ARRAY_MAT &&
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dst.kind() != _InputArray::STD_VECTOR_VECTOR &&
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dst.kind() != _InputArray::STD_VECTOR_UMAT;
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int i;
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int nsrc = src_is_mat ? 1 : (int)src.total();
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int ndst = dst_is_mat ? 1 : (int)dst.total();
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CV_Assert(nsrc > 0 && ndst > 0);
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cv::AutoBuffer<Mat> _buf(nsrc + ndst);
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Mat* buf = _buf.data();
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for( i = 0; i < nsrc; i++ )
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buf[i] = src.getMat(src_is_mat ? -1 : i);
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for( i = 0; i < ndst; i++ )
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buf[nsrc + i] = dst.getMat(dst_is_mat ? -1 : i);
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mixChannels(&buf[0], nsrc, &buf[nsrc], ndst, fromTo, npairs);
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}
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void cv::mixChannels(InputArrayOfArrays src, InputOutputArrayOfArrays dst,
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const std::vector<int>& fromTo)
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{
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CV_INSTRUMENT_REGION();
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if (fromTo.empty())
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return;
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CV_OCL_RUN(dst.isUMatVector(),
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ocl_mixChannels(src, dst, &fromTo[0], fromTo.size()>>1))
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bool src_is_mat = src.kind() != _InputArray::STD_VECTOR_MAT &&
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src.kind() != _InputArray::STD_ARRAY_MAT &&
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src.kind() != _InputArray::STD_VECTOR_VECTOR &&
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src.kind() != _InputArray::STD_VECTOR_UMAT;
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bool dst_is_mat = dst.kind() != _InputArray::STD_VECTOR_MAT &&
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dst.kind() != _InputArray::STD_ARRAY_MAT &&
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dst.kind() != _InputArray::STD_VECTOR_VECTOR &&
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dst.kind() != _InputArray::STD_VECTOR_UMAT;
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int i;
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int nsrc = src_is_mat ? 1 : (int)src.total();
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int ndst = dst_is_mat ? 1 : (int)dst.total();
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CV_Assert(fromTo.size()%2 == 0 && nsrc > 0 && ndst > 0);
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cv::AutoBuffer<Mat> _buf(nsrc + ndst);
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Mat* buf = _buf.data();
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for( i = 0; i < nsrc; i++ )
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buf[i] = src.getMat(src_is_mat ? -1 : i);
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for( i = 0; i < ndst; i++ )
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buf[nsrc + i] = dst.getMat(dst_is_mat ? -1 : i);
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mixChannels(&buf[0], nsrc, &buf[nsrc], ndst, &fromTo[0], fromTo.size()/2);
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}
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#ifdef HAVE_IPP
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namespace cv
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{
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static bool ipp_extractChannel(const Mat &src, Mat &dst, int channel)
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{
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#ifdef HAVE_IPP_IW_LL
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CV_INSTRUMENT_REGION_IPP();
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int srcChannels = src.channels();
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int dstChannels = dst.channels();
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if(src.dims != dst.dims)
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return false;
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if(src.dims <= 2)
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{
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IppiSize size = ippiSize(src.size());
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return CV_INSTRUMENT_FUN_IPP(llwiCopyChannel, src.ptr(), (int)src.step, srcChannels, channel, dst.ptr(), (int)dst.step, dstChannels, 0, size, (int)src.elemSize1()) >= 0;
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}
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else
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{
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const Mat *arrays[] = {&dst, NULL};
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uchar *ptrs[2] = {NULL};
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NAryMatIterator it(arrays, ptrs);
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IppiSize size = {(int)it.size, 1};
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for( size_t i = 0; i < it.nplanes; i++, ++it )
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{
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if(CV_INSTRUMENT_FUN_IPP(llwiCopyChannel, ptrs[0], 0, srcChannels, channel, ptrs[1], 0, dstChannels, 0, size, (int)src.elemSize1()) < 0)
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return false;
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}
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return true;
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}
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#else
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CV_UNUSED(src); CV_UNUSED(dst); CV_UNUSED(channel);
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return false;
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#endif
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}
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static bool ipp_insertChannel(const Mat &src, Mat &dst, int channel)
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{
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#ifdef HAVE_IPP_IW_LL
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CV_INSTRUMENT_REGION_IPP();
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int srcChannels = src.channels();
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int dstChannels = dst.channels();
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if(src.dims != dst.dims)
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return false;
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if(src.dims <= 2)
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{
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IppiSize size = ippiSize(src.size());
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return CV_INSTRUMENT_FUN_IPP(llwiCopyChannel, src.ptr(), (int)src.step, srcChannels, 0, dst.ptr(), (int)dst.step, dstChannels, channel, size, (int)src.elemSize1()) >= 0;
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}
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else
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{
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const Mat *arrays[] = {&dst, NULL};
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uchar *ptrs[2] = {NULL};
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NAryMatIterator it(arrays, ptrs);
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IppiSize size = {(int)it.size, 1};
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for( size_t i = 0; i < it.nplanes; i++, ++it )
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{
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if(CV_INSTRUMENT_FUN_IPP(llwiCopyChannel, ptrs[0], 0, srcChannels, 0, ptrs[1], 0, dstChannels, channel, size, (int)src.elemSize1()) < 0)
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return false;
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}
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return true;
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}
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#else
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CV_UNUSED(src); CV_UNUSED(dst); CV_UNUSED(channel);
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return false;
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#endif
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}
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}
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#endif
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void cv::extractChannel(InputArray _src, OutputArray _dst, int coi)
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{
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CV_INSTRUMENT_REGION();
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int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
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CV_Assert( 0 <= coi && coi < cn );
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int ch[] = { coi, 0 };
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#ifdef HAVE_OPENCL
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if (ocl::isOpenCLActivated() && _src.dims() <= 2 && _dst.isUMat())
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{
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UMat src = _src.getUMat();
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_dst.create(src.dims, &src.size[0], depth);
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UMat dst = _dst.getUMat();
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mixChannels(std::vector<UMat>(1, src), std::vector<UMat>(1, dst), ch, 1);
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return;
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}
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#endif
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Mat src = _src.getMat();
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_dst.create(src.dims, &src.size[0], depth);
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Mat dst = _dst.getMat();
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CV_IPP_RUN_FAST(ipp_extractChannel(src, dst, coi))
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mixChannels(&src, 1, &dst, 1, ch, 1);
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}
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void cv::insertChannel(InputArray _src, InputOutputArray _dst, int coi)
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{
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CV_INSTRUMENT_REGION();
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int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
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int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype), dcn = CV_MAT_CN(dtype);
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CV_Assert( _src.sameSize(_dst) && sdepth == ddepth );
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CV_Assert( 0 <= coi && coi < dcn && scn == 1 );
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int ch[] = { 0, coi };
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#ifdef HAVE_OPENCL
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if (ocl::isOpenCLActivated() && _src.dims() <= 2 && _dst.isUMat())
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{
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UMat src = _src.getUMat(), dst = _dst.getUMat();
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mixChannels(std::vector<UMat>(1, src), std::vector<UMat>(1, dst), ch, 1);
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return;
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}
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#endif
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|
|
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Mat src = _src.getMat(), dst = _dst.getMat();
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|
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CV_IPP_RUN_FAST(ipp_insertChannel(src, dst, coi))
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|
|
|
mixChannels(&src, 1, &dst, 1, ch, 1);
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|
}
|