/*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 // Fangfang Bai, fangfang@multicorewareinc.com // Jin Ma, jin@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 "../perf_precomp.hpp" #include "opencv2/ts/ocl_perf.hpp" #ifdef HAVE_OPENCL namespace cvtest { namespace ocl { ///////////// WarpAffine //////////////////////// CV_ENUM(InterType, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC) typedef tuple WarpAffineParams; typedef TestBaseWithParam WarpAffineFixture; OCL_PERF_TEST_P(WarpAffineFixture, WarpAffine, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, InterType::all())) { static const double coeffs[2][3] = { { cos(CV_PI / 6), -sin(CV_PI / 6), 100.0 }, { sin(CV_PI / 6), cos(CV_PI / 6) , -100.0 } }; Mat M(2, 3, CV_64F, (void *)coeffs); const WarpAffineParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params), interpolation = get<2>(params); const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : interpolation == INTER_CUBIC ? 2e-3 : 1e-4; checkDeviceMaxMemoryAllocSize(srcSize, type); UMat src(srcSize, type), dst(srcSize, type); declare.in(src, WARMUP_RNG).out(dst); OCL_TEST_CYCLE() cv::warpAffine(src, dst, M, srcSize, interpolation); SANITY_CHECK(dst, eps); } ///////////// WarpPerspective //////////////////////// typedef WarpAffineParams WarpPerspectiveParams; typedef TestBaseWithParam WarpPerspectiveFixture; OCL_PERF_TEST_P(WarpPerspectiveFixture, WarpPerspective, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR)))) { static const double coeffs[3][3] = { {cos(CV_PI / 6), -sin(CV_PI / 6), 100.0}, {sin(CV_PI / 6), cos(CV_PI / 6), -100.0}, {0.0, 0.0, 1.0} }; Mat M(3, 3, CV_64F, (void *)coeffs); const WarpPerspectiveParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params), interpolation = get<2>(params); const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; checkDeviceMaxMemoryAllocSize(srcSize, type); UMat src(srcSize, type), dst(srcSize, type); declare.in(src, WARMUP_RNG).out(dst); OCL_TEST_CYCLE() cv::warpPerspective(src, dst, M, srcSize, interpolation); SANITY_CHECK(dst, eps); } ///////////// Resize //////////////////////// typedef tuple ResizeParams; typedef TestBaseWithParam ResizeFixture; OCL_PERF_TEST_P(ResizeFixture, Resize, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR)), ::testing::Values(0.5, 2.0))) { const ResizeParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params), interType = get<2>(params); double scale = get<3>(params); const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale)); const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; checkDeviceMaxMemoryAllocSize(srcSize, type); checkDeviceMaxMemoryAllocSize(dstSize, type); UMat src(srcSize, type), dst(dstSize, type); declare.in(src, WARMUP_RNG).out(dst); OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, interType); SANITY_CHECK(dst, eps); } typedef tuple ResizeAreaParams; typedef TestBaseWithParam ResizeAreaFixture; OCL_PERF_TEST_P(ResizeAreaFixture, Resize, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, ::testing::Values(0.3, 0.5, 0.6))) { const ResizeAreaParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); double scale = get<2>(params); const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale)); const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; checkDeviceMaxMemoryAllocSize(srcSize, type); checkDeviceMaxMemoryAllocSize(dstSize, type); UMat src(srcSize, type), dst(dstSize, type); declare.in(src, WARMUP_RNG).out(dst); OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, cv::INTER_AREA); SANITY_CHECK(dst, eps); } typedef ResizeAreaParams ResizeLinearExactParams; typedef TestBaseWithParam ResizeLinearExactFixture; OCL_PERF_TEST_P(ResizeLinearExactFixture, Resize, ::testing::Combine(OCL_TEST_SIZES, ::testing::Values(CV_8UC1, CV_8UC3, CV_8UC4), ::testing::Values(0.5, 2.0))) { const ResizeAreaParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); double scale = get<2>(params); const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale)); const double eps = 1e-4; checkDeviceMaxMemoryAllocSize(srcSize, type); checkDeviceMaxMemoryAllocSize(dstSize, type); UMat src(srcSize, type), dst(dstSize, type); declare.in(src, WARMUP_RNG).out(dst); OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, cv::INTER_LINEAR_EXACT); SANITY_CHECK(dst, eps); } ///////////// Remap //////////////////////// typedef tuple RemapParams; typedef TestBaseWithParam RemapFixture; OCL_PERF_TEST_P(RemapFixture, Remap, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR)))) { const RemapParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params), interpolation = get<2>(params), borderMode = BORDER_CONSTANT; const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; checkDeviceMaxMemoryAllocSize(srcSize, type); UMat src(srcSize, type), dst(srcSize, type); UMat xmap(srcSize, CV_32FC1), ymap(srcSize, CV_32FC1); { Mat _xmap = xmap.getMat(ACCESS_WRITE), _ymap = ymap.getMat(ACCESS_WRITE); for (int i = 0; i < srcSize.height; ++i) { float * const xmap_row = _xmap.ptr(i); float * const ymap_row = _ymap.ptr(i); for (int j = 0; j < srcSize.width; ++j) { xmap_row[j] = (j - srcSize.width * 0.5f) * 0.75f + srcSize.width * 0.5f; ymap_row[j] = (i - srcSize.height * 0.5f) * 0.75f + srcSize.height * 0.5f; } } } declare.in(src, WARMUP_RNG).in(xmap, ymap, WARMUP_READ).out(dst); OCL_TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode); SANITY_CHECK(dst, eps); } } } // namespace cvtest::ocl #endif // HAVE_OPENCL