opencv/modules/ocl/src/pyrup.cpp
2013-10-03 19:50:14 +04:00

105 lines
4.7 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// 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.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Zhang Chunpeng chunpeng@multicorewareinc.com
// Yao Wang, yao@multicorewareinc.com
//
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// This software is provided by the copyright holders and contributors "as is" and
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//M*/
#include "precomp.hpp"
#include "opencl_kernels.hpp"
using namespace cv;
using namespace cv::ocl;
/* Haar features calculation */
//#define EMU
namespace cv
{
namespace ocl
{
void pyrUp(const cv::ocl::oclMat &src, cv::ocl::oclMat &dst)
{
int depth = src.depth(), channels = src.channels(), oclChannels = src.oclchannels();
CV_Assert(depth == CV_8U || depth == CV_16U || depth == CV_16S || depth == CV_32F);
CV_Assert(channels == 1 || channels == 3 || channels == 4);
dst.create(src.rows * 2, src.cols * 2, src.type());
Context *clCxt = src.clCxt;
const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float" };
char buildOptions[250], convertString[50];
const char * const channelsString = oclChannels == 1 ? "" : "4";
sprintf(convertString, "convert_%s%s_sat_rte", typeMap[depth], channelsString);
sprintf(buildOptions, "-D Type=%s%s -D floatType=float%s -D convertToType=%s -D convertToFloat=%s",
typeMap[depth], channelsString, channelsString,
depth == CV_32F ? "" : convertString,
oclChannels == 4 ? "convert_float4" : "(float)");
const std::string kernelName = "pyrUp";
int dststep = dst.step / dst.elemSize(), srcstep = src.step / src.elemSize();
std::vector< pair<size_t, const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.cols));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.offset));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.offset));
args.push_back( make_pair( sizeof(cl_int), (void *)&srcstep));
args.push_back( make_pair( sizeof(cl_int), (void *)&dststep));
size_t globalThreads[3] = {dst.cols, dst.rows, 1};
size_t localThreads[3] = {16, 16, 1};
openCLExecuteKernel(clCxt, &pyr_up, kernelName, globalThreads, localThreads, args, -1, -1,
buildOptions);
}
}
}