[1f0ca0]: modules / core / test / ocl / test_dft.cpp  Maximize  Restore  History

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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.
//
// * 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.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// 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
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
enum OCL_FFT_TYPE
{
R2R = 0,
C2R = 1,
R2C = 2,
C2C = 3
};
namespace cvtest {
namespace ocl {
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, OCL_FFT_TYPE, bool, bool, bool, bool)
{
cv::Size dft_size;
int dft_flags, depth, cn, dft_type;
bool hint;
bool is1d;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
dft_size = GET_PARAM(0);
dft_type = GET_PARAM(1);
depth = CV_32F;
dft_flags = 0;
switch (dft_type)
{
case R2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 1; break;
case C2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 2; break;
case R2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 1; break;
case C2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 2; break;
}
if (GET_PARAM(2))
dft_flags |= cv::DFT_INVERSE;
if (GET_PARAM(3))
dft_flags |= cv::DFT_ROWS;
if (GET_PARAM(4))
dft_flags |= cv::DFT_SCALE;
hint = GET_PARAM(5);
is1d = (dft_flags & DFT_ROWS) != 0 || dft_size.height == 1;
}
void generateTestData()
{
src = randomMat(dft_size, CV_MAKE_TYPE(depth, cn), 0.0, 100.0);
usrc = src.getUMat(ACCESS_READ);
}
};
OCL_TEST_P(Dft, Mat)
{
generateTestData();
int nonzero_rows = hint ? src.cols - randomInt(1, src.rows-1) : 0;
OCL_OFF(cv::dft(src, dst, dft_flags, nonzero_rows));
OCL_ON(cv::dft(usrc, udst, dft_flags, nonzero_rows));
// In case forward R2C 1d tranform dst contains only half of output
// without complex conjugate
if (dft_type == R2C && is1d && (dft_flags & cv::DFT_INVERSE) == 0)
{
dst = dst(cv::Range(0, dst.rows), cv::Range(0, dst.cols/2 + 1));
udst = udst(cv::Range(0, udst.rows), cv::Range(0, udst.cols/2 + 1));
}
double eps = src.size().area() * 1e-4;
EXPECT_MAT_NEAR(dst, udst, eps);
}
////////////////////////////////////////////////////////////////////////////
// MulSpectrums
PARAM_TEST_CASE(MulSpectrums, bool, bool)
{
bool ccorr, useRoi;
TEST_DECLARE_INPUT_PARAMETER(src1);
TEST_DECLARE_INPUT_PARAMETER(src2);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
ccorr = GET_PARAM(0);
useRoi = GET_PARAM(1);
}
void generateTestData()
{
Size srcRoiSize = randomSize(1, MAX_VALUE);
Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, srcRoiSize, src1Border, CV_32FC2, -11, 11);
Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, srcRoiSize, src2Border, CV_32FC2, -11, 11);
Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, srcRoiSize, dstBorder, CV_32FC2, 5, 16);
UMAT_UPLOAD_INPUT_PARAMETER(src1);
UMAT_UPLOAD_INPUT_PARAMETER(src2);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
}
};
OCL_TEST_P(MulSpectrums, Mat)
{
for (int i = 0; i < test_loop_times; ++i)
{
generateTestData();
OCL_OFF(cv::mulSpectrums(src1_roi, src2_roi, dst_roi, 0, ccorr));
OCL_ON(cv::mulSpectrums(usrc1_roi, usrc2_roi, udst_roi, 0, ccorr));
OCL_EXPECT_MATS_NEAR_RELATIVE(dst, 1e-6);
}
}
OCL_INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MulSpectrums, testing::Combine(Bool(), Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Core, Dft, Combine(Values(cv::Size(10, 10), cv::Size(36, 36), cv::Size(512, 1), cv::Size(1280, 768)),
Values((OCL_FFT_TYPE) R2C, (OCL_FFT_TYPE) C2C, (OCL_FFT_TYPE) R2R, (OCL_FFT_TYPE) C2R),
Bool(), // DFT_INVERSE
Bool(), // DFT_ROWS
Bool(), // DFT_SCALE
Bool() // hint
)
);
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL

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