File: perf_blend.cpp

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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
//    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:
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//   * Redistribution's of source code must retain the above copyright notice,
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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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// In no event shall the Intel Corporation or contributors be liable for any direct,
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//M*/

#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"

#ifdef HAVE_OPENCL

namespace opencv_test {
namespace ocl {

///////////// BlendLinear ////////////////////////

typedef Size_MatType BlendLinearFixture;

OCL_PERF_TEST_P(BlendLinearFixture, BlendLinear, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134))
{
    Size_MatType_t params = GetParam();
    const Size srcSize = get<0>(params);
    const int srcType = get<1>(params);
    const double eps = CV_MAT_DEPTH(srcType) <= CV_32S ? 1.0 : 0.2;

    checkDeviceMaxMemoryAllocSize(srcSize, srcType);

    UMat src1(srcSize, srcType), src2(srcSize, srcType), dst(srcSize, srcType);
    UMat weights1(srcSize, CV_32FC1), weights2(srcSize, CV_32FC1);

    declare.in(src1, src2, WARMUP_RNG).in(weights1, weights2, WARMUP_READ).out(dst);
    randu(weights1, 0, 1);
    randu(weights2, 0, 1);

    OCL_TEST_CYCLE() cv::blendLinear(src1, src2, weights1, weights2, dst);

    SANITY_CHECK(dst, eps);
}

} } // namespace opencv_test::ocl

#endif // HAVE_OPENCL