2013-02-27 13:45:16 +08:00
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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) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Multicoreware, 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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// @Authors
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2013-10-31 08:47:59 +08:00
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// Jin Ma, jin@multicorewareinc.com
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2013-06-25 16:26:33 +08:00
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// Sen Liu, swjtuls1987@126.com
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2013-02-27 13:45:16 +08:00
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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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2013-10-31 08:47:59 +08:00
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// and/or other Materials provided with the distribution.
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2013-02-27 13:45:16 +08:00
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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2013-09-27 20:41:25 +08:00
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#include "opencl_kernels.hpp"
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2013-10-29 18:05:29 +08:00
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#if defined _MSC_VER
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#define snprintf sprintf_s
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#endif
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2013-02-27 13:45:16 +08:00
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namespace cv
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{
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2013-10-29 18:05:29 +08:00
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namespace ocl
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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// The function calculates center of gravity and the central second order moments
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static void icvCompleteMomentState( CvMoments* moments )
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{
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double cx = 0, cy = 0;
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double mu20, mu11, mu02;
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2013-02-27 13:45:16 +08:00
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2013-10-29 18:05:29 +08:00
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assert( moments != 0 );
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moments->inv_sqrt_m00 = 0;
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2013-02-27 13:45:16 +08:00
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2013-10-29 18:05:29 +08:00
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if( fabs(moments->m00) > DBL_EPSILON )
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{
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double inv_m00 = 1. / moments->m00;
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cx = moments->m10 * inv_m00;
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cy = moments->m01 * inv_m00;
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moments->inv_sqrt_m00 = std::sqrt( fabs(inv_m00) );
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}
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2013-02-27 13:45:16 +08:00
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2013-10-29 18:05:29 +08:00
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// mu20 = m20 - m10*cx
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mu20 = moments->m20 - moments->m10 * cx;
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// mu11 = m11 - m10*cy
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mu11 = moments->m11 - moments->m10 * cy;
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// mu02 = m02 - m01*cy
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mu02 = moments->m02 - moments->m01 * cy;
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moments->mu20 = mu20;
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moments->mu11 = mu11;
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moments->mu02 = mu02;
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// mu30 = m30 - cx*(3*mu20 + cx*m10)
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moments->mu30 = moments->m30 - cx * (3 * mu20 + cx * moments->m10);
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mu11 += mu11;
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// mu21 = m21 - cx*(2*mu11 + cx*m01) - cy*mu20
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moments->mu21 = moments->m21 - cx * (mu11 + cx * moments->m01) - cy * mu20;
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// mu12 = m12 - cy*(2*mu11 + cy*m10) - cx*mu02
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moments->mu12 = moments->m12 - cy * (mu11 + cy * moments->m10) - cx * mu02;
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// mu03 = m03 - cy*(3*mu02 + cy*m01)
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moments->mu03 = moments->m03 - cy * (3 * mu02 + cy * moments->m01);
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2013-03-08 10:30:01 +08:00
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}
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2013-10-29 18:05:29 +08:00
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static void icvContourMoments( CvSeq* contour, CvMoments* mom )
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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if( contour->total )
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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CvSeqReader reader;
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int lpt = contour->total;
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double a00, a10, a01, a20, a11, a02, a30, a21, a12, a03;
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cvStartReadSeq( contour, &reader, 0 );
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size_t reader_size = lpt << 1;
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cv::Mat reader_mat(1,reader_size,CV_32FC1);
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bool is_float = CV_SEQ_ELTYPE(contour) == CV_32FC2;
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if (!cv::ocl::Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE) && is_float)
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{
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CV_Error(CV_StsUnsupportedFormat, "Moments - double is not supported by your GPU!");
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}
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if( is_float )
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{
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for(size_t i = 0; i < reader_size; ++i)
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{
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reader_mat.at<float>(0, i++) = ((CvPoint2D32f*)(reader.ptr))->x;
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reader_mat.at<float>(0, i) = ((CvPoint2D32f*)(reader.ptr))->y;
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CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
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}
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}
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else
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{
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for(size_t i = 0; i < reader_size; ++i)
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{
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reader_mat.at<float>(0, i++) = ((CvPoint*)(reader.ptr))->x;
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reader_mat.at<float>(0, i) = ((CvPoint*)(reader.ptr))->y;
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CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
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}
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}
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cv::ocl::oclMat dst_a(10, lpt, CV_64FC1);
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cv::ocl::oclMat reader_oclmat(reader_mat);
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int llength = std::min(lpt,128);
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size_t localThreads[3] = { llength, 1, 1};
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size_t globalThreads[3] = { lpt, 1, 1};
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vector<pair<size_t , const void *> > args;
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args.push_back( make_pair( sizeof(cl_int) , (void *)&contour->total ));
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args.push_back( make_pair( sizeof(cl_mem) , (void *)&reader_oclmat.data ));
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args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_a.data ));
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cl_int dst_step = (cl_int)dst_a.step;
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args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_step ));
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char builOption[128];
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snprintf(builOption, 128, "-D CV_8UC1");
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openCLExecuteKernel(dst_a.clCxt, &moments, "icvContourMoments", globalThreads, localThreads, args, -1, -1, builOption);
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cv::Mat dst(dst_a);
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a00 = a10 = a01 = a20 = a11 = a02 = a30 = a21 = a12 = a03 = 0.0;
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if (!cv::ocl::Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
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{
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for (int i = 0; i < contour->total; ++i)
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{
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a00 += dst.at<cl_long>(0, i);
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a10 += dst.at<cl_long>(1, i);
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a01 += dst.at<cl_long>(2, i);
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a20 += dst.at<cl_long>(3, i);
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a11 += dst.at<cl_long>(4, i);
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a02 += dst.at<cl_long>(5, i);
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a30 += dst.at<cl_long>(6, i);
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a21 += dst.at<cl_long>(7, i);
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a12 += dst.at<cl_long>(8, i);
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a03 += dst.at<cl_long>(9, i);
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}
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}
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else
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{
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a00 = cv::sum(dst.row(0))[0];
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a10 = cv::sum(dst.row(1))[0];
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a01 = cv::sum(dst.row(2))[0];
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a20 = cv::sum(dst.row(3))[0];
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a11 = cv::sum(dst.row(4))[0];
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a02 = cv::sum(dst.row(5))[0];
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a30 = cv::sum(dst.row(6))[0];
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a21 = cv::sum(dst.row(7))[0];
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a12 = cv::sum(dst.row(8))[0];
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a03 = cv::sum(dst.row(9))[0];
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}
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double db1_2, db1_6, db1_12, db1_24, db1_20, db1_60;
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if( fabs(a00) > FLT_EPSILON )
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{
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if( a00 > 0 )
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{
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db1_2 = 0.5;
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db1_6 = 0.16666666666666666666666666666667;
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db1_12 = 0.083333333333333333333333333333333;
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db1_24 = 0.041666666666666666666666666666667;
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db1_20 = 0.05;
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db1_60 = 0.016666666666666666666666666666667;
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}
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else
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{
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db1_2 = -0.5;
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db1_6 = -0.16666666666666666666666666666667;
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db1_12 = -0.083333333333333333333333333333333;
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db1_24 = -0.041666666666666666666666666666667;
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db1_20 = -0.05;
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db1_60 = -0.016666666666666666666666666666667;
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}
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// spatial moments
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mom->m00 = a00 * db1_2;
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mom->m10 = a10 * db1_6;
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mom->m01 = a01 * db1_6;
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mom->m20 = a20 * db1_12;
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mom->m11 = a11 * db1_24;
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mom->m02 = a02 * db1_12;
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mom->m30 = a30 * db1_20;
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mom->m21 = a21 * db1_60;
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mom->m12 = a12 * db1_60;
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mom->m03 = a03 * db1_20;
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icvCompleteMomentState( mom );
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}
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2013-02-27 13:45:16 +08:00
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}
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}
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2013-10-29 18:05:29 +08:00
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Moments ocl_moments(oclMat& src, bool binary) //for image
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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CV_Assert(src.oclchannels() == 1);
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2013-10-30 14:37:13 +08:00
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if(src.type() == CV_64FC1 && !Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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CV_Error(CV_StsUnsupportedFormat, "Moments - double is not supported by your GPU!");
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2013-02-27 13:45:16 +08:00
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}
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2013-10-29 18:05:29 +08:00
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if(binary)
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2013-03-08 10:30:01 +08:00
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{
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2013-10-29 18:05:29 +08:00
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oclMat mask;
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if(src.type() != CV_8UC1)
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{
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src.convertTo(mask, CV_8UC1);
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}
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oclMat src8u(src.size(), CV_8UC1);
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src8u.setTo(Scalar(255), mask);
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src = src8u;
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2013-03-08 10:30:01 +08:00
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}
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2013-10-29 18:05:29 +08:00
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const int TILE_SIZE = 256;
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2013-02-27 13:45:16 +08:00
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2013-10-29 18:05:29 +08:00
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CvMoments mom;
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memset(&mom, 0, sizeof(mom));
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cv::Size size = src.size();
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int blockx, blocky;
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blockx = (size.width + TILE_SIZE - 1)/TILE_SIZE;
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blocky = (size.height + TILE_SIZE - 1)/TILE_SIZE;
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oclMat dst_m;
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int tile_height = TILE_SIZE;
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size_t localThreads[3] = {1, tile_height, 1};
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size_t globalThreads[3] = {blockx, size.height, 1};
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if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
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{
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dst_m.create(blocky * 10, blockx, CV_64FC1);
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}else
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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dst_m.create(blocky * 10, blockx, CV_32FC1);
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2013-02-27 13:45:16 +08:00
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}
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2013-10-29 18:05:29 +08:00
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int src_step = (int)(src.step/src.elemSize());
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int dstm_step = (int)(dst_m.step/dst_m.elemSize());
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vector<pair<size_t , const void *> > args,args_sum;
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args.push_back( make_pair( sizeof(cl_mem) , (void *)&src.data ));
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args.push_back( make_pair( sizeof(cl_int) , (void *)&src.rows ));
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args.push_back( make_pair( sizeof(cl_int) , (void *)&src.cols ));
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args.push_back( make_pair( sizeof(cl_int) , (void *)&src_step ));
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args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
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args.push_back( make_pair( sizeof(cl_int) , (void *)&dst_m.cols ));
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args.push_back( make_pair( sizeof(cl_int) , (void *)&dstm_step ));
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int binary_;
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if(binary)
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binary_ = 1;
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2013-02-27 13:45:16 +08:00
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else
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2013-10-29 18:05:29 +08:00
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binary_ = 0;
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args.push_back( make_pair( sizeof(cl_int) , (void *)&binary_));
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char builOption[128];
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if(binary || src.type() == CV_8UC1)
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{
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snprintf(builOption, 128, "-D CV_8UC1");
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}else if(src.type() == CV_16UC1)
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2013-02-27 13:45:16 +08:00
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{
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2013-10-29 18:05:29 +08:00
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snprintf(builOption, 128, "-D CV_16UC1");
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}else if(src.type() == CV_16SC1)
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{
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snprintf(builOption, 128, "-D CV_16SC1");
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}else if(src.type() == CV_32FC1)
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{
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snprintf(builOption, 128, "-D CV_32FC1");
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}else if(src.type() == CV_64FC1)
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{
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snprintf(builOption, 128, "-D CV_64FC1");
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}else
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{
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CV_Error( CV_StsUnsupportedFormat, "" );
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}
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openCLExecuteKernel(Context::getContext(), &moments, "CvMoments", globalThreads, localThreads, args, -1, -1, builOption);
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Mat tmp(dst_m);
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tmp.convertTo(tmp, CV_64FC1);
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double tmp_m[10] = {0};
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for(int j = 0; j < tmp.rows; j += 10)
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{
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for(int i = 0; i < tmp.cols; i++)
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{
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tmp_m[0] += tmp.at<double>(j, i);
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tmp_m[1] += tmp.at<double>(j + 1, i);
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tmp_m[2] += tmp.at<double>(j + 2, i);
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tmp_m[3] += tmp.at<double>(j + 3, i);
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tmp_m[4] += tmp.at<double>(j + 4, i);
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tmp_m[5] += tmp.at<double>(j + 5, i);
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tmp_m[6] += tmp.at<double>(j + 6, i);
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tmp_m[7] += tmp.at<double>(j + 7, i);
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tmp_m[8] += tmp.at<double>(j + 8, i);
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|
tmp_m[9] += tmp.at<double>(j + 9, i);
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|
|
|
}
|
2013-02-27 13:45:16 +08:00
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}
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|
|
|
|
2013-10-29 18:05:29 +08:00
|
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|
mom.m00 = tmp_m[0];
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|
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|
mom.m10 = tmp_m[1];
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|
|
mom.m01 = tmp_m[2];
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|
|
|
mom.m20 = tmp_m[3];
|
|
|
|
mom.m11 = tmp_m[4];
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|
|
|
mom.m02 = tmp_m[5];
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|
|
|
mom.m30 = tmp_m[6];
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|
|
|
mom.m21 = tmp_m[7];
|
|
|
|
mom.m12 = tmp_m[8];
|
|
|
|
mom.m03 = tmp_m[9];
|
|
|
|
icvCompleteMomentState( &mom );
|
|
|
|
return mom;
|
2013-02-27 13:45:16 +08:00
|
|
|
}
|
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
Moments ocl_moments(InputArray _contour) //for contour
|
|
|
|
{
|
|
|
|
CvMoments mom;
|
|
|
|
memset(&mom, 0, sizeof(mom));
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
Mat arr = _contour.getMat();
|
|
|
|
CvMat c_array = arr;
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
const void* array = &c_array;
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
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" );
|
|
|
|
}
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
int type, coi = 0;
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
CvMat stub, *mat = (CvMat*)(array);
|
|
|
|
CvContour contourHeader;
|
|
|
|
CvSeqBlock block;
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
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 );
|
|
|
|
}
|
|
|
|
}
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
CV_Assert(contour);
|
2013-02-27 13:45:16 +08:00
|
|
|
|
2013-10-29 18:05:29 +08:00
|
|
|
icvContourMoments(contour, &mom);
|
|
|
|
return mom;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|