190 lines
6.4 KiB
C++
190 lines
6.4 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Peng Xiao, pengxiao@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../test_precomp.hpp"
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#include "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
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enum OCL_FFT_TYPE
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{
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R2R = 0,
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C2R = 1,
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R2C = 2,
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C2C = 3
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};
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namespace cvtest {
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namespace ocl {
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////////////////////////////////////////////////////////////////////////////
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// Dft
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PARAM_TEST_CASE(Dft, cv::Size, OCL_FFT_TYPE, MatDepth, bool, bool, bool, bool)
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{
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cv::Size dft_size;
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int dft_flags, depth, cn, dft_type;
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bool hint;
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bool is1d;
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TEST_DECLARE_INPUT_PARAMETER(src);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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dft_size = GET_PARAM(0);
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dft_type = GET_PARAM(1);
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depth = GET_PARAM(2);
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dft_flags = 0;
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switch (dft_type)
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{
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case R2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 1; break;
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case C2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 2; break;
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case R2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 1; break;
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case C2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 2; break;
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}
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if (GET_PARAM(3))
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dft_flags |= cv::DFT_INVERSE;
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if (GET_PARAM(4))
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dft_flags |= cv::DFT_ROWS;
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if (GET_PARAM(5))
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dft_flags |= cv::DFT_SCALE;
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hint = GET_PARAM(6);
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is1d = (dft_flags & DFT_ROWS) != 0 || dft_size.height == 1;
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}
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void generateTestData()
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{
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src = randomMat(dft_size, CV_MAKE_TYPE(depth, cn), 0.0, 100.0);
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usrc = src.getUMat(ACCESS_READ);
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}
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};
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OCL_TEST_P(Dft, Mat)
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{
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generateTestData();
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int nonzero_rows = hint ? src.rows - randomInt(1, src.rows-1) : 0;
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OCL_OFF(cv::dft(src, dst, dft_flags, nonzero_rows));
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OCL_ON(cv::dft(usrc, udst, dft_flags, nonzero_rows));
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// In case forward R2C 1d tranform dst contains only half of output
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// without complex conjugate
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if (dft_type == R2C && is1d && (dft_flags & cv::DFT_INVERSE) == 0)
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{
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dst = dst(cv::Range(0, dst.rows), cv::Range(0, dst.cols/2 + 1));
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udst = udst(cv::Range(0, udst.rows), cv::Range(0, udst.cols/2 + 1));
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}
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double eps = src.size().area() * 1e-4;
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EXPECT_MAT_NEAR(dst, udst, eps);
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}
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////////////////////////////////////////////////////////////////////////////
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// MulSpectrums
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PARAM_TEST_CASE(MulSpectrums, bool, bool)
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{
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bool ccorr, useRoi;
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TEST_DECLARE_INPUT_PARAMETER(src1);
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TEST_DECLARE_INPUT_PARAMETER(src2);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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ccorr = GET_PARAM(0);
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useRoi = GET_PARAM(1);
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}
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void generateTestData()
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{
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Size srcRoiSize = randomSize(1, MAX_VALUE);
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Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src1, src1_roi, srcRoiSize, src1Border, CV_32FC2, -11, 11);
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Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src2, src2_roi, srcRoiSize, src2Border, CV_32FC2, -11, 11);
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Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, srcRoiSize, dstBorder, CV_32FC2, 5, 16);
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UMAT_UPLOAD_INPUT_PARAMETER(src1);
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UMAT_UPLOAD_INPUT_PARAMETER(src2);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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}
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};
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OCL_TEST_P(MulSpectrums, Mat)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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generateTestData();
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OCL_OFF(cv::mulSpectrums(src1_roi, src2_roi, dst_roi, 0, ccorr));
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OCL_ON(cv::mulSpectrums(usrc1_roi, usrc2_roi, udst_roi, 0, ccorr));
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OCL_EXPECT_MATS_NEAR_RELATIVE(dst, 1e-6);
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MulSpectrums, testing::Combine(Bool(), Bool()));
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OCL_INSTANTIATE_TEST_CASE_P(Core, Dft, Combine(Values(cv::Size(45, 72), cv::Size(36, 36), cv::Size(512, 1), cv::Size(1280, 768)),
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Values((OCL_FFT_TYPE) R2C, (OCL_FFT_TYPE) C2C, (OCL_FFT_TYPE) R2R, (OCL_FFT_TYPE) C2R),
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Values(CV_32F, CV_64F),
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Bool(), // DFT_INVERSE
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Bool(), // DFT_ROWS
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Bool(), // DFT_SCALE
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Bool() // hint
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)
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);
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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