pyrup.cpp 4.71 KB
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/*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:
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//   * 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,
//     this list of conditions and the following disclaimer in the documentation
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// This software is provided by the copyright holders and contributors "as is" and
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// loss of use, data, or profits; or business interruption) however caused
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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] = {(size_t)dst.cols, (size_t)dst.rows, 1};
            size_t localThreads[3]  = {16, 16, 1};


            openCLExecuteKernel(clCxt, &pyr_up, kernelName, globalThreads, localThreads, args, -1, -1,
                                buildOptions);
        }
    }
}