• niko's avatar
    format files to ANSI C style with coolformat · 97156897
    niko authored
    change the download channels to oclchannles()
    fix bugs of arithm functions
    perf fix of bilateral
    bug fix of split test case
    add build_warps functions
    97156897
test_fft.cpp 3.59 KB
/*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.
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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
//    Peng Xiao, pengxiao@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
//     and/or other oclMaterials provided with the distribution.
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//M*/

#include "precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDFFT
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, bool)
{
    cv::Size dft_size;
    bool	 dft_rows;
    //std::vector<cv::ocl::Info> oclinfo;
    virtual void SetUp()
    {
        //int devnums = getDevice(oclinfo);
        //   CV_Assert(devnums > 0);
        dft_size = GET_PARAM(0);
        dft_rows = GET_PARAM(1);
    }
};

TEST_P(Dft, C2C)
{
    cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 10.0);
    cv::Mat b_gold;
    int flags = 0;
    flags |= dft_rows ? cv::DFT_ROWS : 0;

    cv::ocl::oclMat d_b;

    cv::dft(a, b_gold, flags);
    cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
    EXPECT_MAT_NEAR(b_gold, cv::Mat(d_b), a.size().area() * 1e-4, "");
}


TEST_P(Dft, R2CthenC2R)
{
    cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);

    int flags = 0;
    //flags |= dft_rows ? cv::DFT_ROWS : 0; // not supported yet

    cv::ocl::oclMat d_b, d_c;
    cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
    cv::ocl::dft(d_b, d_c, a.size(), flags + cv::DFT_INVERSE + cv::DFT_REAL_OUTPUT);
    EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4, "");
}

INSTANTIATE_TEST_CASE_P(ocl_DFT, Dft, testing::Combine(
                            testing::Values(cv::Size(5, 4), cv::Size(20, 20)),
                            testing::Values(false, true)));

#endif // HAVE_CLAMDFFT