opencv/modules/ocl/src/blend.cpp
Roman Donchenko 9c83f6c4fb Merge remote-tracking branch 'origin/2.4' into merge-2.4
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
2013-11-05 16:38:23 +04:00

100 lines
5.3 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Nathan, liujun@multicorewareinc.com
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#include "precomp.hpp"
#include "opencl_kernels.hpp"
using namespace cv;
using namespace cv::ocl;
void cv::ocl::blendLinear(const oclMat &src1, const oclMat &src2, const oclMat &weights1, const oclMat &weights2,
oclMat &dst)
{
CV_Assert(src1.depth() <= CV_32F);
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
CV_Assert(weights1.size() == weights2.size() && weights1.size() == src1.size() &&
weights1.type() == CV_32FC1 && weights2.type() == CV_32FC1);
dst.create(src1.size(), src1.type());
size_t globalSize[] = { dst.cols, dst.rows, 1};
size_t localSize[] = { 16, 16, 1 };
int depth = dst.depth(), ocn = dst.oclchannels();
int src1_step = src1.step / src1.elemSize(), src1_offset = src1.offset / src1.elemSize();
int src2_step = src2.step / src2.elemSize(), src2_offset = src2.offset / src2.elemSize();
int weight1_step = weights1.step / weights1.elemSize(), weight1_offset = weights1.offset / weights1.elemSize();
int weight2_step = weights2.step / weights2.elemSize(), weight2_offset = weights2.offset / weights2.elemSize();
int dst_step = dst.step / dst.elemSize(), dst_offset = dst.offset / dst.elemSize();
const char * const channelMap[] = { "", "", "2", "4", "4" };
const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float", "double" };
std::string buildOptions = format("-D T=%s%s -D convertToT=convert_%s%s%s -D FT=float%s -D convertToFT=convert_float%s",
typeMap[depth], channelMap[ocn], typeMap[depth], channelMap[ocn],
depth >= CV_32S ? "" : "_sat_rte", channelMap[ocn], channelMap[ocn]);
std::vector< std::pair<size_t, const void *> > args;
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&src1.data ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&src1_offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&src1_step ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&src2.data ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&src2_offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&src2_step ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&weights1.data ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight1_offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight1_step ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&weights2.data ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight2_offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&weight2_step ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&dst.data ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst_offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst_step ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst.rows ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst.cols ));
openCLExecuteKernel(src1.clCxt, &blend_linear, "blendLinear", globalSize, localSize, args,
-1, -1, buildOptions.c_str());
}