Open Source Computer Vision Library https://opencv.org/
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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
// 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:
//
// * 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 materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
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//M*/
#include "test_precomp.hpp"
using namespace std;
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, int)
{
cv::Size dft_size;
int dft_flags;
virtual void SetUp()
{
dft_size = GET_PARAM(0);
dft_flags = GET_PARAM(1);
}
};
OCL_TEST_P(Dft, C2C)
{
cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 100.0);
cv::Mat b_gold;
cv::ocl::oclMat d_b;
cv::dft(a, b_gold, dft_flags);
cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), dft_flags);
EXPECT_MAT_NEAR(b_gold, cv::Mat(d_b), a.size().area() * 1e-4);
}
OCL_TEST_P(Dft, R2C)
{
cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 100.0);
cv::Mat b_gold, b_gold_roi;
cv::ocl::oclMat d_b, d_c;
cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), dft_flags);
cv::dft(a, b_gold, cv::DFT_COMPLEX_OUTPUT | dft_flags);
b_gold_roi = b_gold(cv::Rect(0, 0, d_b.cols, d_b.rows));
EXPECT_MAT_NEAR(b_gold_roi, cv::Mat(d_b), a.size().area() * 1e-4);
cv::Mat c_gold;
cv::dft(b_gold, c_gold, cv::DFT_INVERSE | cv::DFT_REAL_OUTPUT | cv::DFT_SCALE);
EXPECT_MAT_NEAR(b_gold_roi, cv::Mat(d_b), a.size().area() * 1e-4);
}
OCL_TEST_P(Dft, R2CthenC2R)
{
cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);
cv::ocl::oclMat d_b, d_c;
cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), 0);
cv::ocl::dft(d_b, d_c, a.size(), cv::DFT_SCALE | cv::DFT_INVERSE | cv::DFT_REAL_OUTPUT);
EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4);
}
INSTANTIATE_TEST_CASE_P(OCL_ImgProc, Dft, testing::Combine(
testing::Values(cv::Size(2, 3), cv::Size(5, 4), cv::Size(25, 20), cv::Size(512, 1), cv::Size(1024, 768)),
testing::Values(0, (int)cv::DFT_ROWS, (int)cv::DFT_SCALE) ));