/*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,
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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.
// Third party copyrights are property of their respective owners.
//
// @Authors
//    Fangfang Bai, fangfang@multicorewareinc.com
//    Jin Ma,       jin@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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//M*/
#include "perf_precomp.hpp"

using namespace perf;
using std::tr1::tuple;
using std::tr1::get;

/////////// matchTemplate ////////////////////////

typedef Size_MatType CV_TM_CCORRFixture;

PERF_TEST_P(CV_TM_CCORRFixture, matchTemplate,
            ::testing::Combine(::testing::Values(OCL_SIZE_1000, OCL_SIZE_2000),
                               OCL_PERF_ENUM(CV_32FC1, CV_32FC4)))
{
    const Size_MatType_t params = GetParam();
    const Size srcSize = get<0>(params), templSize(5, 5);
    const int type = get<1>(params);

    Mat src(srcSize, type), templ(templSize, type);
    const Size dstSize(src.cols - templ.cols + 1, src.rows - templ.rows + 1);
    Mat dst(dstSize, CV_32F);
    randu(src, 0.0f, 1.0f);
    randu(templ, 0.0f, 1.0f);
    declare.time(srcSize == OCL_SIZE_2000 ? 20 : 6).in(src, templ).out(dst);

    if (RUN_OCL_IMPL)
    {
        ocl::oclMat oclSrc(src), oclTempl(templ), oclDst(dstSize, CV_32F);

        OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR);

        oclDst.download(dst);

        SANITY_CHECK(dst, 1e-4);
    }
    else if (RUN_PLAIN_IMPL)
    {
        TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR);

        SANITY_CHECK(dst, 1e-4);
    }
    else
        OCL_PERF_ELSE
}

typedef TestBaseWithParam<Size> CV_TM_CCORR_NORMEDFixture;

PERF_TEST_P(CV_TM_CCORR_NORMEDFixture, matchTemplate, OCL_TYPICAL_MAT_SIZES)
{
    const Size srcSize = GetParam(), templSize(5, 5);

    Mat src(srcSize, CV_8UC1), templ(templSize, CV_8UC1), dst;
    const Size dstSize(src.cols - templ.cols + 1, src.rows - templ.rows + 1);
    dst.create(dstSize, CV_8UC1);
    declare.in(src, templ, WARMUP_RNG).out(dst)
            .time(srcSize == OCL_SIZE_2000 ? 10 : srcSize == OCL_SIZE_4000 ? 23 : 2);

    if (RUN_OCL_IMPL)
    {
        ocl::oclMat oclSrc(src), oclTempl(templ), oclDst(dstSize, CV_8UC1);

        OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR_NORMED);

        oclDst.download(dst);

        SANITY_CHECK(dst, 2e-2);
    }
    else if (RUN_PLAIN_IMPL)
    {
        TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED);

        SANITY_CHECK(dst, 2e-2);
    }
    else
        OCL_PERF_ELSE
}