opencv/modules/ocl/src/blend.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
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// License Agreement
// For Open Source Computer Vision Library
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#include "precomp.hpp"
#include "opencl_kernels.hpp"
using namespace cv;
using namespace cv::ocl;
void cv::ocl::blendLinear(const oclMat &img1, const oclMat &img2, const oclMat &weights1, const oclMat &weights2,
oclMat &result)
{
cv::ocl::Context *ctx = img1.clCxt;
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CV_Assert(ctx == img2.clCxt && ctx == weights1.clCxt && ctx == weights2.clCxt);
int channels = img1.oclchannels();
int depth = img1.depth();
int rows = img1.rows;
int cols = img1.cols;
int istep = img1.step1();
int wstep = weights1.step1();
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size_t globalSize[] = {cols * channels / 4, rows, 1};
size_t localSize[] = {256, 1, 1};
std::vector< std::pair<size_t, const void *> > args;
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result.create(img1.size(), CV_MAKE_TYPE(depth,img1.channels()));
if(globalSize[0] != 0)
{
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&result.data ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&img1.data ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&img2.data ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&weights1.data ));
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&weights2.data ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&rows ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&cols ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&istep ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&wstep ));
String kernelName = "BlendLinear";
openCLExecuteKernel(ctx, &blend_linear, kernelName, globalSize, localSize, args, channels, depth);
}
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}