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9c83f6c4fb
Conflicts: cmake/OpenCVDetectCUDA.cmake modules/core/include/opencv2/core/version.hpp modules/cudacodec/src/ffmpeg_video_source.cpp modules/gpu/src/video_writer.cpp modules/highgui/test/test_ffmpeg.cpp modules/highgui/test/test_video_io.cpp modules/highgui/test/test_video_pos.cpp modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/include/opencv2/ocl/private/util.hpp modules/ocl/src/arithm.cpp modules/ocl/src/blend.cpp modules/ocl/src/canny.cpp modules/ocl/src/cl_operations.cpp modules/ocl/src/filtering.cpp modules/ocl/src/haar.cpp modules/ocl/src/imgproc.cpp modules/ocl/src/kmeans.cpp modules/ocl/src/moments.cpp modules/ocl/src/safe_call.hpp modules/ocl/src/split_merge.cpp modules/ocl/test/test_moments.cpp samples/ocl/squares.cpp
100 lines
5.3 KiB
C++
100 lines
5.3 KiB
C++
/*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, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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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// Nathan, liujun@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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#include "opencl_kernels.hpp"
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using namespace cv;
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using namespace cv::ocl;
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void cv::ocl::blendLinear(const oclMat &src1, const oclMat &src2, const oclMat &weights1, const oclMat &weights2,
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oclMat &dst)
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{
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CV_Assert(src1.depth() <= CV_32F);
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CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
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CV_Assert(weights1.size() == weights2.size() && weights1.size() == src1.size() &&
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weights1.type() == CV_32FC1 && weights2.type() == CV_32FC1);
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dst.create(src1.size(), src1.type());
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size_t globalSize[] = { dst.cols, dst.rows, 1};
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size_t localSize[] = { 16, 16, 1 };
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int depth = dst.depth(), ocn = dst.oclchannels();
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int src1_step = src1.step / src1.elemSize(), src1_offset = src1.offset / src1.elemSize();
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int src2_step = src2.step / src2.elemSize(), src2_offset = src2.offset / src2.elemSize();
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int weight1_step = weights1.step / weights1.elemSize(), weight1_offset = weights1.offset / weights1.elemSize();
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int weight2_step = weights2.step / weights2.elemSize(), weight2_offset = weights2.offset / weights2.elemSize();
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int dst_step = dst.step / dst.elemSize(), dst_offset = dst.offset / dst.elemSize();
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const char * const channelMap[] = { "", "", "2", "4", "4" };
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const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float", "double" };
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std::string buildOptions = format("-D T=%s%s -D convertToT=convert_%s%s%s -D FT=float%s -D convertToFT=convert_float%s",
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typeMap[depth], channelMap[ocn], typeMap[depth], channelMap[ocn],
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depth >= CV_32S ? "" : "_sat_rte", channelMap[ocn], channelMap[ocn]);
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std::vector< std::pair<size_t, const void *> > args;
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args.push_back( std::make_pair( sizeof(cl_mem), (void *)&src1.data ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&src1_offset ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&src1_step ));
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args.push_back( std::make_pair( sizeof(cl_mem), (void *)&src2.data ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&src2_offset ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&src2_step ));
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args.push_back( std::make_pair( sizeof(cl_mem), (void *)&weights1.data ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight1_offset ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight1_step ));
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args.push_back( std::make_pair( sizeof(cl_mem), (void *)&weights2.data ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight2_offset ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight2_step ));
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args.push_back( std::make_pair( sizeof(cl_mem), (void *)&dst.data ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst_offset ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst_step ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst.rows ));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst.cols ));
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openCLExecuteKernel(src1.clCxt, &blend_linear, "blendLinear", globalSize, localSize, args,
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-1, -1, buildOptions.c_str());
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}
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