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325 lines
10 KiB
C++
325 lines
10 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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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@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 "perf_precomp.hpp"
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using namespace perf;
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using std::tr1::tuple;
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using std::tr1::get;
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///////////// WarpAffine ////////////////////////
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typedef Size_MatType WarpAffineFixture;
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PERF_TEST_P(WarpAffineFixture, WarpAffine,
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::testing::Combine(OCL_TYPICAL_MAT_SIZES,
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OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
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{
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static const double coeffs[2][3] =
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{
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{ cos(CV_PI / 6), -sin(CV_PI / 6), 100.0 },
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{ sin(CV_PI / 6), cos(CV_PI / 6), -100.0 }
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};
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Mat M(2, 3, CV_64F, (void *)coeffs);
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const int interpolation = INTER_NEAREST;
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type), dst(srcSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src), oclDst(srcSize, type);
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OCL_TEST_CYCLE() cv::ocl::warpAffine(oclSrc, oclDst, M, srcSize, interpolation);
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oclDst.download(dst);
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SANITY_CHECK(dst);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::warpAffine(src, dst, M, srcSize, interpolation);
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SANITY_CHECK(dst);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// WarpPerspective ////////////////////////
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typedef Size_MatType WarpPerspectiveFixture;
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PERF_TEST_P(WarpPerspectiveFixture, WarpPerspective,
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::testing::Combine(OCL_TYPICAL_MAT_SIZES,
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OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
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{
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static const double coeffs[3][3] =
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{
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{cos(CV_PI / 6), -sin(CV_PI / 6), 100.0},
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{sin(CV_PI / 6), cos(CV_PI / 6), -100.0},
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{0.0, 0.0, 1.0}
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};
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Mat M(3, 3, CV_64F, (void *)coeffs);
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const int interpolation = INTER_LINEAR;
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type), dst(srcSize, type);
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declare.in(src, WARMUP_RNG).out(dst)
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.time(srcSize == OCL_SIZE_4000 ? 18 : srcSize == OCL_SIZE_2000 ? 5 : 2);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src), oclDst(srcSize, type);
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OCL_TEST_CYCLE() cv::ocl::warpPerspective(oclSrc, oclDst, M, srcSize, interpolation);
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oclDst.download(dst);
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SANITY_CHECK(dst);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::warpPerspective(src, dst, M, srcSize, interpolation);
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SANITY_CHECK(dst);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// resize ////////////////////////
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CV_ENUM(resizeInterType, INTER_NEAREST, INTER_LINEAR)
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typedef tuple<Size, MatType, resizeInterType, double> resizeParams;
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typedef TestBaseWithParam<resizeParams> resizeFixture;
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PERF_TEST_P(resizeFixture, resize,
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::testing::Combine(OCL_TYPICAL_MAT_SIZES,
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OCL_PERF_ENUM(CV_8UC1, CV_8UC4),
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resizeInterType::all(),
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::testing::Values(0.5, 2.0)))
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{
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const resizeParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), interType = get<2>(params);
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double scale = get<3>(params);
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const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale));
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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checkDeviceMaxMemoryAllocSize(dstSize, type);
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Mat src(srcSize, type), dst;
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dst.create(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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if (interType == INTER_LINEAR && type == CV_8UC4 && OCL_SIZE_4000 == srcSize)
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declare.time(11);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src), oclDst(dstSize, type);
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OCL_TEST_CYCLE() cv::ocl::resize(oclSrc, oclDst, Size(), scale, scale, interType);
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oclDst.download(dst);
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SANITY_CHECK(dst, 1 + DBL_EPSILON);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, interType);
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SANITY_CHECK(dst, 1 + DBL_EPSILON);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// remap////////////////////////
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CV_ENUM(RemapInterType, INTER_NEAREST, INTER_LINEAR)
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typedef tuple<Size, MatType, RemapInterType> remapParams;
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typedef TestBaseWithParam<remapParams> remapFixture;
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PERF_TEST_P(remapFixture, remap,
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::testing::Combine(OCL_TYPICAL_MAT_SIZES,
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OCL_PERF_ENUM(CV_8UC1, CV_8UC4),
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RemapInterType::all()))
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{
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const remapParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), interpolation = get<2>(params);
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Mat src(srcSize, type), dst(srcSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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if (srcSize == OCL_SIZE_4000 && interpolation == INTER_LINEAR)
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declare.time(9);
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Mat xmap, ymap;
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xmap.create(srcSize, CV_32FC1);
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ymap.create(srcSize, CV_32FC1);
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for (int i = 0; i < srcSize.height; ++i)
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{
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float * const xmap_row = xmap.ptr<float>(i);
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float * const ymap_row = ymap.ptr<float>(i);
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for (int j = 0; j < srcSize.width; ++j)
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{
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xmap_row[j] = (j - srcSize.width * 0.5f) * 0.75f + srcSize.width * 0.5f;
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ymap_row[j] = (i - srcSize.height * 0.5f) * 0.75f + srcSize.height * 0.5f;
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}
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}
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const int borderMode = BORDER_CONSTANT;
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src), oclDst(srcSize, type);
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ocl::oclMat oclXMap(xmap), oclYMap(ymap);
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OCL_TEST_CYCLE() cv::ocl::remap(oclSrc, oclDst, oclXMap, oclYMap, interpolation, borderMode);
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oclDst.download(dst);
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SANITY_CHECK(dst, 1 + DBL_EPSILON);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode);
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SANITY_CHECK(dst, 1 + DBL_EPSILON);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// buildWarpPerspectiveMaps ////////////////////////
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static void buildWarpPerspectiveMaps(const Mat &M, bool inverse, Size dsize, Mat &xmap, Mat &ymap)
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{
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CV_Assert(M.rows == 3 && M.cols == 3);
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CV_Assert(dsize.area() > 0);
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xmap.create(dsize, CV_32FC1);
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ymap.create(dsize, CV_32FC1);
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float coeffs[3 * 3];
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Mat coeffsMat(3, 3, CV_32F, (void *)coeffs);
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if (inverse)
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M.convertTo(coeffsMat, coeffsMat.type());
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else
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{
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cv::Mat iM;
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invert(M, iM);
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iM.convertTo(coeffsMat, coeffsMat.type());
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}
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for (int y = 0; y < dsize.height; ++y)
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{
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float * const xmap_ptr = xmap.ptr<float>(y);
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float * const ymap_ptr = ymap.ptr<float>(y);
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for (int x = 0; x < dsize.width; ++x)
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{
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float coeff = 1.0f / (x * coeffs[6] + y * coeffs[7] + coeffs[8]);
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xmap_ptr[x] = (x * coeffs[0] + y * coeffs[1] + coeffs[2]) * coeff;
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ymap_ptr[x] = (x * coeffs[3] + y * coeffs[4] + coeffs[5]) * coeff;
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}
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}
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}
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typedef TestBaseWithParam<Size> buildWarpPerspectiveMapsFixture;
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PERF_TEST_P(buildWarpPerspectiveMapsFixture, Inverse, OCL_TYPICAL_MAT_SIZES)
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{
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static const double coeffs[3][3] =
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{
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{cos(CV_PI / 6), -sin(CV_PI / 6), 100.0},
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{sin(CV_PI / 6), cos(CV_PI / 6), -100.0},
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{0.0, 0.0, 1.0}
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};
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Mat M(3, 3, CV_64F, (void *)coeffs);
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const Size dsize = GetParam();
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const double eps = 5e-4;
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Mat xmap(dsize, CV_32FC1), ymap(dsize, CV_32FC1);
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declare.in(M).out(xmap, ymap);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclXMap(dsize, CV_32FC1), oclYMap(dsize, CV_32FC1);
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OCL_TEST_CYCLE() cv::ocl::buildWarpPerspectiveMaps(M, true, dsize, oclXMap, oclYMap);
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oclXMap.download(xmap);
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oclYMap.download(ymap);
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SANITY_CHECK(xmap, eps);
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SANITY_CHECK(ymap, eps);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() buildWarpPerspectiveMaps(M, true, dsize, xmap, ymap);
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SANITY_CHECK(xmap, eps);
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SANITY_CHECK(ymap, eps);
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}
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else
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OCL_PERF_ELSE
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}
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