238 lines
8.8 KiB
C++
238 lines
8.8 KiB
C++
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/*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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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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///////////// WarpAffine ////////////////////////
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CV_ENUM(InterType, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC)
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typedef tuple<Size, MatType, InterType> WarpAffineParams;
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typedef TestBaseWithParam<WarpAffineParams> WarpAffineFixture;
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OCL_PERF_TEST_P(WarpAffineFixture, WarpAffine,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, InterType::all()))
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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 WarpAffineParams 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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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : interpolation == INTER_CUBIC ? 2e-3 : 1e-4;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::warpAffine(src, dst, M, srcSize, interpolation);
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SANITY_CHECK(dst, eps);
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}
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///////////// WarpPerspective ////////////////////////
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typedef WarpAffineParams WarpPerspectiveParams;
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typedef TestBaseWithParam<WarpPerspectiveParams> WarpPerspectiveFixture;
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OCL_PERF_TEST_P(WarpPerspectiveFixture, WarpPerspective,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134,
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OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR))))
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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 WarpPerspectiveParams 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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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::warpPerspective(src, dst, M, srcSize, interpolation);
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SANITY_CHECK(dst, eps);
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}
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///////////// Resize ////////////////////////
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typedef tuple<Size, MatType, InterType, double> ResizeParams;
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typedef TestBaseWithParam<ResizeParams> ResizeFixture;
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OCL_PERF_TEST_P(ResizeFixture, Resize,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134,
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OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR)),
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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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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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checkDeviceMaxMemoryAllocSize(dstSize, type);
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UMat src(srcSize, type), dst(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, interType);
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SANITY_CHECK(dst, eps);
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}
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typedef tuple<Size, MatType, double> ResizeAreaParams;
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typedef TestBaseWithParam<ResizeAreaParams> ResizeAreaFixture;
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OCL_PERF_TEST_P(ResizeAreaFixture, Resize,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, ::testing::Values(0.3, 0.5, 0.6)))
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{
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const ResizeAreaParams 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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double scale = get<2>(params);
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const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale));
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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checkDeviceMaxMemoryAllocSize(dstSize, type);
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UMat src(srcSize, type), dst(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, cv::INTER_AREA);
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SANITY_CHECK(dst, eps);
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}
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typedef ResizeAreaParams ResizeLinearExactParams;
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typedef TestBaseWithParam<ResizeLinearExactParams> ResizeLinearExactFixture;
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OCL_PERF_TEST_P(ResizeLinearExactFixture, Resize,
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::testing::Combine(OCL_TEST_SIZES, ::testing::Values(CV_8UC1, CV_8UC3, CV_8UC4), ::testing::Values(0.5, 2.0)))
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{
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const ResizeAreaParams 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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double scale = get<2>(params);
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const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale));
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const double eps = 1e-4;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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checkDeviceMaxMemoryAllocSize(dstSize, type);
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UMat src(srcSize, type), dst(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, cv::INTER_LINEAR_EXACT);
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SANITY_CHECK(dst, eps);
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}
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///////////// Remap ////////////////////////
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typedef tuple<Size, MatType, InterType> RemapParams;
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typedef TestBaseWithParam<RemapParams> RemapFixture;
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OCL_PERF_TEST_P(RemapFixture, Remap,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134,
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OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR))))
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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), borderMode = BORDER_CONSTANT;
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//const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, type);
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UMat xmap(srcSize, CV_32FC1), ymap(srcSize, CV_32FC1);
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{
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Mat _xmap = xmap.getMat(ACCESS_WRITE), _ymap = ymap.getMat(ACCESS_WRITE);
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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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}
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declare.in(src, WARMUP_RNG).in(xmap, ymap, WARMUP_READ).out(dst);
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OCL_TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode);
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SANITY_CHECK_NOTHING();
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}
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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