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Merge pull request #1710 from melody-rain:2.4_moments_ocl

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This commit is contained in:
Andrey Pavlenko
2013-10-31 13:54:45 +04:00
committed by OpenCV Buildbot
parent ef9f690598 3dbcd05407
commit e80f5bed2d
5 changed files with 639 additions and 1123 deletions
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576
modules/ocl/src/moments.cpp
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@@ -10,12 +10,12 @@
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jin Ma, jin@multicorewareinc.com
// Sen Liu, swjtuls1987@126.com
//
// Redistribution and use in source and binary forms, with or without modification,
@@ -26,7 +26,7 @@
//
// * 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.
// 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.
@@ -46,294 +46,342 @@
#include "precomp.hpp"
#include "opencl_kernels.hpp"
#if defined _MSC_VER
#define snprintf sprintf_s
#endif
namespace cv
{
namespace ocl
{
// The function calculates center of gravity and the central second order moments
static void icvCompleteMomentState( CvMoments* moments )
{
double cx = 0, cy = 0;
double mu20, mu11, mu02;
assert( moments != 0 );
moments->inv_sqrt_m00 = 0;
if( fabs(moments->m00) > DBL_EPSILON )
namespace ocl
{
double inv_m00 = 1. / moments->m00;
cx = moments->m10 * inv_m00;
cy = moments->m01 * inv_m00;
moments->inv_sqrt_m00 = std::sqrt( fabs(inv_m00) );
}
// mu20 = m20 - m10*cx
mu20 = moments->m20 - moments->m10 * cx;
// mu11 = m11 - m10*cy
mu11 = moments->m11 - moments->m10 * cy;
// mu02 = m02 - m01*cy
mu02 = moments->m02 - moments->m01 * cy;
moments->mu20 = mu20;
moments->mu11 = mu11;
moments->mu02 = mu02;
// mu30 = m30 - cx*(3*mu20 + cx*m10)
moments->mu30 = moments->m30 - cx * (3 * mu20 + cx * moments->m10);
mu11 += mu11;
// mu21 = m21 - cx*(2*mu11 + cx*m01) - cy*mu20
moments->mu21 = moments->m21 - cx * (mu11 + cx * moments->m01) - cy * mu20;
// mu12 = m12 - cy*(2*mu11 + cy*m10) - cx*mu02
moments->mu12 = moments->m12 - cy * (mu11 + cy * moments->m10) - cx * mu02;
// mu03 = m03 - cy*(3*mu02 + cy*m01)
moments->mu03 = moments->m03 - cy * (3 * mu02 + cy * moments->m01);
}
static void icvContourMoments( CvSeq* contour, CvMoments* mom )
{
if( contour->total )
{
CvSeqReader reader;
int lpt = contour->total;
double a00, a10, a01, a20, a11, a02, a30, a21, a12, a03;
cvStartReadSeq( contour, &reader, 0 );
size_t reader_size = lpt << 1;
cv::Mat reader_mat(1,reader_size,CV_32FC1);
bool is_float = CV_SEQ_ELTYPE(contour) == CV_32FC2;
if (!cv::ocl::Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE) && is_float)
// The function calculates center of gravity and the central second order moments
static void icvCompleteMomentState( CvMoments* moments )
{
CV_Error(CV_StsUnsupportedFormat, "Moments - double is not supported by your GPU!");
}
double cx = 0, cy = 0;
double mu20, mu11, mu02;
if( is_float )
{
for(size_t i = 0; i < reader_size; ++i)
assert( moments != 0 );
moments->inv_sqrt_m00 = 0;
if( fabs(moments->m00) > DBL_EPSILON )
{
reader_mat.at<float>(0, i++) = ((CvPoint2D32f*)(reader.ptr))->x;
reader_mat.at<float>(0, i) = ((CvPoint2D32f*)(reader.ptr))->y;
CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
double inv_m00 = 1. / moments->m00;
cx = moments->m10 * inv_m00;
cy = moments->m01 * inv_m00;
moments->inv_sqrt_m00 = std::sqrt( fabs(inv_m00) );
}
// mu20 = m20 - m10*cx
mu20 = moments->m20 - moments->m10 * cx;
// mu11 = m11 - m10*cy
mu11 = moments->m11 - moments->m10 * cy;
// mu02 = m02 - m01*cy
mu02 = moments->m02 - moments->m01 * cy;
moments->mu20 = mu20;
moments->mu11 = mu11;
moments->mu02 = mu02;
// mu30 = m30 - cx*(3*mu20 + cx*m10)
moments->mu30 = moments->m30 - cx * (3 * mu20 + cx * moments->m10);
mu11 += mu11;
// mu21 = m21 - cx*(2*mu11 + cx*m01) - cy*mu20
moments->mu21 = moments->m21 - cx * (mu11 + cx * moments->m01) - cy * mu20;
// mu12 = m12 - cy*(2*mu11 + cy*m10) - cx*mu02
moments->mu12 = moments->m12 - cy * (mu11 + cy * moments->m10) - cx * mu02;
// mu03 = m03 - cy*(3*mu02 + cy*m01)
moments->mu03 = moments->m03 - cy * (3 * mu02 + cy * moments->m01);
}
else
static void icvContourMoments( CvSeq* contour, CvMoments* mom )
{
for(size_t i = 0; i < reader_size; ++i)
if( contour->total )
{
reader_mat.at<float>(0, i++) = ((CvPoint*)(reader.ptr))->x;
reader_mat.at<float>(0, i) = ((CvPoint*)(reader.ptr))->y;
CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
CvSeqReader reader;
int lpt = contour->total;
double a00, a10, a01, a20, a11, a02, a30, a21, a12, a03;
cvStartReadSeq( contour, &reader, 0 );
size_t reader_size = lpt << 1;
cv::Mat reader_mat(1,reader_size,CV_32FC1);
bool is_float = CV_SEQ_ELTYPE(contour) == CV_32FC2;
if (!cv::ocl::Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE) && is_float)
{
CV_Error(CV_StsUnsupportedFormat, "Moments - double is not supported by your GPU!");
}
if( is_float )
{
for(size_t i = 0; i < reader_size; ++i)
{
reader_mat.at<float>(0, i++) = ((CvPoint2D32f*)(reader.ptr))->x;
reader_mat.at<float>(0, i) = ((CvPoint2D32f*)(reader.ptr))->y;
CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
}
}
else
{
for(size_t i = 0; i < reader_size; ++i)
{
reader_mat.at<float>(0, i++) = ((CvPoint*)(reader.ptr))->x;
reader_mat.at<float>(0, i) = ((CvPoint*)(reader.ptr))->y;
CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
}
}
cv::ocl::oclMat dst_a(10, lpt, CV_64FC1);
cv::ocl::oclMat reader_oclmat(reader_mat);
int llength = std::min(lpt,128);
size_t localThreads[3] = { llength, 1, 1};
size_t globalThreads[3] = { lpt, 1, 1};
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_int) , (void *)&contour->total ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&reader_oclmat.data ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_a.data ));
cl_int dst_step = (cl_int)dst_a.step;
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_step ));
char builOption[128];
snprintf(builOption, 128, "-D CV_8UC1");
openCLExecuteKernel(dst_a.clCxt, &moments, "icvContourMoments", globalThreads, localThreads, args, -1, -1, builOption);
cv::Mat dst(dst_a);
a00 = a10 = a01 = a20 = a11 = a02 = a30 = a21 = a12 = a03 = 0.0;
if (!cv::ocl::Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
{
for (int i = 0; i < contour->total; ++i)
{
a00 += dst.at<cl_long>(0, i);
a10 += dst.at<cl_long>(1, i);
a01 += dst.at<cl_long>(2, i);
a20 += dst.at<cl_long>(3, i);
a11 += dst.at<cl_long>(4, i);
a02 += dst.at<cl_long>(5, i);
a30 += dst.at<cl_long>(6, i);
a21 += dst.at<cl_long>(7, i);
a12 += dst.at<cl_long>(8, i);
a03 += dst.at<cl_long>(9, i);
}
}
else
{
a00 = cv::sum(dst.row(0))[0];
a10 = cv::sum(dst.row(1))[0];
a01 = cv::sum(dst.row(2))[0];
a20 = cv::sum(dst.row(3))[0];
a11 = cv::sum(dst.row(4))[0];
a02 = cv::sum(dst.row(5))[0];
a30 = cv::sum(dst.row(6))[0];
a21 = cv::sum(dst.row(7))[0];
a12 = cv::sum(dst.row(8))[0];
a03 = cv::sum(dst.row(9))[0];
}
double db1_2, db1_6, db1_12, db1_24, db1_20, db1_60;
if( fabs(a00) > FLT_EPSILON )
{
if( a00 > 0 )
{
db1_2 = 0.5;
db1_6 = 0.16666666666666666666666666666667;
db1_12 = 0.083333333333333333333333333333333;
db1_24 = 0.041666666666666666666666666666667;
db1_20 = 0.05;
db1_60 = 0.016666666666666666666666666666667;
}
else
{
db1_2 = -0.5;
db1_6 = -0.16666666666666666666666666666667;
db1_12 = -0.083333333333333333333333333333333;
db1_24 = -0.041666666666666666666666666666667;
db1_20 = -0.05;
db1_60 = -0.016666666666666666666666666666667;
}
// spatial moments
mom->m00 = a00 * db1_2;
mom->m10 = a10 * db1_6;
mom->m01 = a01 * db1_6;
mom->m20 = a20 * db1_12;
mom->m11 = a11 * db1_24;
mom->m02 = a02 * db1_12;
mom->m30 = a30 * db1_20;
mom->m21 = a21 * db1_60;
mom->m12 = a12 * db1_60;
mom->m03 = a03 * db1_20;
icvCompleteMomentState( mom );
}
}
}
cv::ocl::oclMat dst_a(10, lpt, CV_64FC1);
cv::ocl::oclMat reader_oclmat(reader_mat);
int llength = std::min(lpt,128);
size_t localThreads[3] = { llength, 1, 1};
size_t globalThreads[3] = { lpt, 1, 1};
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_int) , (void *)&contour->total ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&reader_oclmat.data ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_a.data ));
cl_int dst_step = (cl_int)dst_a.step;
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_step ));
openCLExecuteKernel(dst_a.clCxt, &moments, "icvContourMoments", globalThreads, localThreads, args, -1, -1);
cv::Mat dst(dst_a);
a00 = a10 = a01 = a20 = a11 = a02 = a30 = a21 = a12 = a03 = 0.0;
if (!cv::ocl::Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
Moments ocl_moments(oclMat& src, bool binary) //for image
{
for (int i = 0; i < contour->total; ++i)
CV_Assert(src.oclchannels() == 1);
if(src.type() == CV_64FC1 && !Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
{
a00 += dst.at<cl_long>(0, i);
a10 += dst.at<cl_long>(1, i);
a01 += dst.at<cl_long>(2, i);
a20 += dst.at<cl_long>(3, i);
a11 += dst.at<cl_long>(4, i);
a02 += dst.at<cl_long>(5, i);
a30 += dst.at<cl_long>(6, i);
a21 += dst.at<cl_long>(7, i);
a12 += dst.at<cl_long>(8, i);
a03 += dst.at<cl_long>(9, i);
CV_Error(CV_StsUnsupportedFormat, "Moments - double is not supported by your GPU!");
}
}
else
{
a00 = cv::sum(dst.row(0))[0];
a10 = cv::sum(dst.row(1))[0];
a01 = cv::sum(dst.row(2))[0];
a20 = cv::sum(dst.row(3))[0];
a11 = cv::sum(dst.row(4))[0];
a02 = cv::sum(dst.row(5))[0];
a30 = cv::sum(dst.row(6))[0];
a21 = cv::sum(dst.row(7))[0];
a12 = cv::sum(dst.row(8))[0];
a03 = cv::sum(dst.row(9))[0];
}
double db1_2, db1_6, db1_12, db1_24, db1_20, db1_60;
if( fabs(a00) > FLT_EPSILON )
{
if( a00 > 0 )
if(binary)
{
db1_2 = 0.5;
db1_6 = 0.16666666666666666666666666666667;
db1_12 = 0.083333333333333333333333333333333;
db1_24 = 0.041666666666666666666666666666667;
db1_20 = 0.05;
db1_60 = 0.016666666666666666666666666666667;
oclMat mask;
if(src.type() != CV_8UC1)
{
src.convertTo(mask, CV_8UC1);
}
oclMat src8u(src.size(), CV_8UC1);
src8u.setTo(Scalar(255), mask);
src = src8u;
}
const int TILE_SIZE = 256;
CvMoments mom;
memset(&mom, 0, sizeof(mom));
cv::Size size = src.size();
int blockx, blocky;
blockx = (size.width + TILE_SIZE - 1)/TILE_SIZE;
blocky = (size.height + TILE_SIZE - 1)/TILE_SIZE;
oclMat dst_m;
int tile_height = TILE_SIZE;
size_t localThreads[3] = {1, tile_height, 1};
size_t globalThreads[3] = {blockx, size.height, 1};
if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
{
dst_m.create(blocky * 10, blockx, CV_64FC1);
}else
{
dst_m.create(blocky * 10, blockx, CV_32FC1);
}
int src_step = (int)(src.step/src.elemSize());
int dstm_step = (int)(dst_m.step/dst_m.elemSize());
vector<pair<size_t , const void *> > args,args_sum;
args.push_back( make_pair( sizeof(cl_mem) , (void *)&src.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.rows ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src_step ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_m.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dstm_step ));
int binary_;
if(binary)
binary_ = 1;
else
binary_ = 0;
args.push_back( make_pair( sizeof(cl_int) , (void *)&binary_));
char builOption[128];
if(binary || src.type() == CV_8UC1)
{
db1_2 = -0.5;
db1_6 = -0.16666666666666666666666666666667;
db1_12 = -0.083333333333333333333333333333333;
db1_24 = -0.041666666666666666666666666666667;
db1_20 = -0.05;
db1_60 = -0.016666666666666666666666666666667;
snprintf(builOption, 128, "-D CV_8UC1");
}else if(src.type() == CV_16UC1)
{
snprintf(builOption, 128, "-D CV_16UC1");
}else if(src.type() == CV_16SC1)
{
snprintf(builOption, 128, "-D CV_16SC1");
}else if(src.type() == CV_32FC1)
{
snprintf(builOption, 128, "-D CV_32FC1");
}else if(src.type() == CV_64FC1)
{
snprintf(builOption, 128, "-D CV_64FC1");
}else
{
CV_Error( CV_StsUnsupportedFormat, "" );
}
// spatial moments
mom->m00 = a00 * db1_2;
mom->m10 = a10 * db1_6;
mom->m01 = a01 * db1_6;
mom->m20 = a20 * db1_12;
mom->m11 = a11 * db1_24;
mom->m02 = a02 * db1_12;
mom->m30 = a30 * db1_20;
mom->m21 = a21 * db1_60;
mom->m12 = a12 * db1_60;
mom->m03 = a03 * db1_20;
openCLExecuteKernel(Context::getContext(), &moments, "CvMoments", globalThreads, localThreads, args, -1, -1, builOption);
icvCompleteMomentState( mom );
Mat tmp(dst_m);
tmp.convertTo(tmp, CV_64FC1);
double tmp_m[10] = {0};
for(int j = 0; j < tmp.rows; j += 10)
{
for(int i = 0; i < tmp.cols; i++)
{
tmp_m[0] += tmp.at<double>(j, i);
tmp_m[1] += tmp.at<double>(j + 1, i);
tmp_m[2] += tmp.at<double>(j + 2, i);
tmp_m[3] += tmp.at<double>(j + 3, i);
tmp_m[4] += tmp.at<double>(j + 4, i);
tmp_m[5] += tmp.at<double>(j + 5, i);
tmp_m[6] += tmp.at<double>(j + 6, i);
tmp_m[7] += tmp.at<double>(j + 7, i);
tmp_m[8] += tmp.at<double>(j + 8, i);
tmp_m[9] += tmp.at<double>(j + 9, i);
}
}
mom.m00 = tmp_m[0];
mom.m10 = tmp_m[1];
mom.m01 = tmp_m[2];
mom.m20 = tmp_m[3];
mom.m11 = tmp_m[4];
mom.m02 = tmp_m[5];
mom.m30 = tmp_m[6];
mom.m21 = tmp_m[7];
mom.m12 = tmp_m[8];
mom.m03 = tmp_m[9];
icvCompleteMomentState( &mom );
return mom;
}
}
}
static void ocl_cvMoments( const void* array, CvMoments* mom, int binary )
{
const int TILE_SIZE = 256;
int type, depth, cn, coi = 0;
CvMat stub, *mat = (CvMat*)array;
CvContour contourHeader;
CvSeq* contour = 0;
CvSeqBlock block;
if( CV_IS_SEQ( array ))
{
contour = (CvSeq*)array;
if( !CV_IS_SEQ_POINT_SET( contour ))
CV_Error( CV_StsBadArg, "The passed sequence is not a valid contour" );
}
if( !mom )
CV_Error( CV_StsNullPtr, "" );
memset( mom, 0, sizeof(*mom));
if( !contour )
{
mat = cvGetMat( mat, &stub, &coi );
type = CV_MAT_TYPE( mat->type );
if( type == CV_32SC2 || type == CV_32FC2 )
Moments ocl_moments(InputArray _contour) //for contour
{
contour = cvPointSeqFromMat(
CV_SEQ_KIND_CURVE | CV_SEQ_FLAG_CLOSED,
mat, &contourHeader, &block );
CvMoments mom;
memset(&mom, 0, sizeof(mom));
Mat arr = _contour.getMat();
CvMat c_array = arr;
const void* array = &c_array;
CvSeq* contour = 0;
if( CV_IS_SEQ( array ))
{
contour = (CvSeq*)(array);
if( !CV_IS_SEQ_POINT_SET( contour ))
CV_Error( CV_StsBadArg, "The passed sequence is not a valid contour" );
}
int type, coi = 0;
CvMat stub, *mat = (CvMat*)(array);
CvContour contourHeader;
CvSeqBlock block;
if( !contour )
{
mat = cvGetMat( mat, &stub, &coi );
type = CV_MAT_TYPE( mat->type );
if( type == CV_32SC2 || type == CV_32FC2 )
{
contour = cvPointSeqFromMat(
CV_SEQ_KIND_CURVE | CV_SEQ_FLAG_CLOSED,
mat, &contourHeader, &block );
}
}
CV_Assert(contour);
icvContourMoments(contour, &mom);
return mom;
}
}
if( contour )
{
icvContourMoments( contour, mom );
return;
}
type = CV_MAT_TYPE( mat->type );
depth = CV_MAT_DEPTH( type );
cn = CV_MAT_CN( type );
cv::Size size = cvGetMatSize( mat );
if( cn > 1 && coi == 0 )
CV_Error( CV_StsBadArg, "Invalid image type" );
if( size.width <= 0 || size.height <= 0 )
return;
cv::Mat src0(mat);
cv::ocl::oclMat src(src0);
cv::Size tileSize;
int blockx,blocky;
if(size.width%TILE_SIZE == 0)
blockx = size.width/TILE_SIZE;
else
blockx = size.width/TILE_SIZE + 1;
if(size.height%TILE_SIZE == 0)
blocky = size.height/TILE_SIZE;
else
blocky = size.height/TILE_SIZE + 1;
oclMat dst_m(blocky * 10, blockx, CV_64FC1);
oclMat sum(1, 10, CV_64FC1);
int tile_width = std::min(size.width,TILE_SIZE);
int tile_height = std::min(size.height,TILE_SIZE);
size_t localThreads[3] = { tile_height, 1, 1};
size_t globalThreads[3] = { size.height, blockx, 1};
vector<pair<size_t , const void *> > args,args_sum;
args.push_back( make_pair( sizeof(cl_mem) , (void *)&src.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.rows ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.step ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_m.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_m.step ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&blocky ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&depth ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&cn ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&coi ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&binary ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&TILE_SIZE ));
openCLExecuteKernel(Context::getContext(), &moments, "CvMoments", globalThreads, localThreads, args, -1, depth);
size_t localThreadss[3] = { 128, 1, 1};
size_t globalThreadss[3] = { 128, 1, 1};
args_sum.push_back( make_pair( sizeof(cl_int) , (void *)&src.rows ));
args_sum.push_back( make_pair( sizeof(cl_int) , (void *)&src.cols ));
args_sum.push_back( make_pair( sizeof(cl_int) , (void *)&tile_height ));
args_sum.push_back( make_pair( sizeof(cl_int) , (void *)&tile_width ));
args_sum.push_back( make_pair( sizeof(cl_int) , (void *)&TILE_SIZE ));
args_sum.push_back( make_pair( sizeof(cl_mem) , (void *)&sum.data ));
args_sum.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
args_sum.push_back( make_pair( sizeof(cl_int) , (void *)&dst_m.step ));
openCLExecuteKernel(Context::getContext(), &moments, "dst_sum", globalThreadss, localThreadss, args_sum, -1, -1);
Mat dstsum(sum);
mom->m00 = dstsum.at<double>(0, 0);
mom->m10 = dstsum.at<double>(0, 1);
mom->m01 = dstsum.at<double>(0, 2);
mom->m20 = dstsum.at<double>(0, 3);
mom->m11 = dstsum.at<double>(0, 4);
mom->m02 = dstsum.at<double>(0, 5);
mom->m30 = dstsum.at<double>(0, 6);
mom->m21 = dstsum.at<double>(0, 7);
mom->m12 = dstsum.at<double>(0, 8);
mom->m03 = dstsum.at<double>(0, 9);
icvCompleteMomentState( mom );
}
Moments ocl_moments( InputArray _array, bool binaryImage )
{
CvMoments om;
Mat arr = _array.getMat();
CvMat c_array = arr;
ocl_cvMoments(&c_array, &om, binaryImage);
return om;
}
}
}
}

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modules/ocl/src/opencl/moments.cl
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