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592 lines
17 KiB
592 lines
17 KiB
/*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) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage 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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// 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 std; |
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using namespace testing; |
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using namespace perf; |
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////////////////////////////////////////////////////////////////////// |
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// Remap |
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enum { HALF_SIZE=0, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH }; |
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CV_ENUM(RemapMode, HALF_SIZE, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH) |
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void generateMap(cv::Mat& map_x, cv::Mat& map_y, int remapMode) |
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{ |
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for (int j = 0; j < map_x.rows; ++j) |
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{ |
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for (int i = 0; i < map_x.cols; ++i) |
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{ |
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switch (remapMode) |
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{ |
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case HALF_SIZE: |
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if (i > map_x.cols*0.25 && i < map_x.cols*0.75 && j > map_x.rows*0.25 && j < map_x.rows*0.75) |
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{ |
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map_x.at<float>(j,i) = 2.f * (i - map_x.cols * 0.25f) + 0.5f; |
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map_y.at<float>(j,i) = 2.f * (j - map_x.rows * 0.25f) + 0.5f; |
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} |
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else |
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{ |
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map_x.at<float>(j,i) = 0.f; |
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map_y.at<float>(j,i) = 0.f; |
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} |
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break; |
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case UPSIDE_DOWN: |
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map_x.at<float>(j,i) = static_cast<float>(i); |
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map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j); |
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break; |
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case REFLECTION_X: |
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map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i); |
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map_y.at<float>(j,i) = static_cast<float>(j); |
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break; |
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case REFLECTION_BOTH: |
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map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i); |
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map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j); |
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break; |
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} // end of switch |
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} |
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} |
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} |
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DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border_Mode, cv::Size, MatDepth, MatCn, Interpolation, BorderMode, RemapMode); |
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PERF_TEST_P(Sz_Depth_Cn_Inter_Border_Mode, Remap, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4, |
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Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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ALL_BORDER_MODES, |
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RemapMode::all())) |
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{ |
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declare.time(20.0); |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int interpolation = GET_PARAM(3); |
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const int borderMode = GET_PARAM(4); |
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const int remapMode = GET_PARAM(5); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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cv::Mat xmap(size, CV_32FC1); |
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cv::Mat ymap(size, CV_32FC1); |
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generateMap(xmap, ymap, remapMode); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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const cv::gpu::GpuMat d_xmap(xmap); |
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const cv::gpu::GpuMat d_ymap(ymap); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::remap(d_src, dst, d_xmap, d_ymap, interpolation, borderMode); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// Resize |
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DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Scale, cv::Size, MatDepth, MatCn, Interpolation, double); |
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PERF_TEST_P(Sz_Depth_Cn_Inter_Scale, Resize, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4, |
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Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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Values(0.5, 0.3, 2.0))) |
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{ |
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declare.time(20.0); |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int interpolation = GET_PARAM(3); |
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const double f = GET_PARAM(4); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::resize(d_src, dst, cv::Size(), f, f, interpolation); |
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GPU_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::resize(src, dst, cv::Size(), f, f, interpolation); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// ResizeArea |
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DEF_PARAM_TEST(Sz_Depth_Cn_Scale, cv::Size, MatDepth, MatCn, double); |
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PERF_TEST_P(Sz_Depth_Cn_Scale, ResizeArea, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4, |
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Values(0.2, 0.1, 0.05))) |
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{ |
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declare.time(1.0); |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int interpolation = cv::INTER_AREA; |
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const double f = GET_PARAM(3); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::resize(d_src, dst, cv::Size(), f, f, interpolation); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::resize(src, dst, cv::Size(), f, f, interpolation); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// WarpAffine |
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DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border, cv::Size, MatDepth, MatCn, Interpolation, BorderMode); |
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PERF_TEST_P(Sz_Depth_Cn_Inter_Border, WarpAffine, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4, |
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Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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ALL_BORDER_MODES)) |
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{ |
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declare.time(20.0); |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int interpolation = GET_PARAM(3); |
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const int borderMode = GET_PARAM(4); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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const double aplha = CV_PI / 4; |
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const double mat[2 * 3] = |
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{ |
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std::cos(aplha), -std::sin(aplha), src.cols / 2, |
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std::sin(aplha), std::cos(aplha), 0 |
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}; |
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const cv::Mat M(2, 3, CV_64F, (void*) mat); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::warpAffine(d_src, dst, M, size, interpolation, borderMode); |
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GPU_SANITY_CHECK(dst, 1); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::warpAffine(src, dst, M, size, interpolation, borderMode); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// WarpPerspective |
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PERF_TEST_P(Sz_Depth_Cn_Inter_Border, WarpPerspective, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4, |
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Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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ALL_BORDER_MODES)) |
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{ |
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declare.time(20.0); |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int interpolation = GET_PARAM(3); |
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const int borderMode = GET_PARAM(4); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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const double aplha = CV_PI / 4; |
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double mat[3][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2}, |
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{std::sin(aplha), std::cos(aplha), 0}, |
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{0.0, 0.0, 1.0}}; |
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const cv::Mat M(3, 3, CV_64F, (void*) mat); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::warpPerspective(d_src, dst, M, size, interpolation, borderMode); |
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GPU_SANITY_CHECK(dst, 1); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::warpPerspective(src, dst, M, size, interpolation, borderMode); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// BuildWarpPlaneMaps |
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PERF_TEST_P(Sz, BuildWarpPlaneMaps, |
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GPU_TYPICAL_MAT_SIZES) |
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{ |
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const cv::Size size = GetParam(); |
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const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1); |
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const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1); |
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const cv::Mat T = cv::Mat::zeros(1, 3, CV_32F); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat map_x; |
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cv::gpu::GpuMat map_y; |
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TEST_CYCLE() cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, map_x, map_y); |
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GPU_SANITY_CHECK(map_x); |
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GPU_SANITY_CHECK(map_y); |
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} |
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else |
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{ |
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FAIL_NO_CPU(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// BuildWarpCylindricalMaps |
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PERF_TEST_P(Sz, BuildWarpCylindricalMaps, |
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GPU_TYPICAL_MAT_SIZES) |
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{ |
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const cv::Size size = GetParam(); |
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const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1); |
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const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat map_x; |
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cv::gpu::GpuMat map_y; |
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TEST_CYCLE() cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y); |
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GPU_SANITY_CHECK(map_x); |
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GPU_SANITY_CHECK(map_y); |
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} |
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else |
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{ |
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FAIL_NO_CPU(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// BuildWarpSphericalMaps |
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PERF_TEST_P(Sz, BuildWarpSphericalMaps, |
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GPU_TYPICAL_MAT_SIZES) |
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{ |
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const cv::Size size = GetParam(); |
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const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1); |
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const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat map_x; |
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cv::gpu::GpuMat map_y; |
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TEST_CYCLE() cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y); |
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GPU_SANITY_CHECK(map_x); |
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GPU_SANITY_CHECK(map_y); |
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} |
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else |
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{ |
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FAIL_NO_CPU(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// Rotate |
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DEF_PARAM_TEST(Sz_Depth_Cn_Inter, cv::Size, MatDepth, MatCn, Interpolation); |
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PERF_TEST_P(Sz_Depth_Cn_Inter, Rotate, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4, |
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Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int interpolation = GET_PARAM(3); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::rotate(d_src, dst, size, 30.0, 0, 0, interpolation); |
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GPU_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE); |
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} |
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else |
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{ |
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FAIL_NO_CPU(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// PyrDown |
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PERF_TEST_P(Sz_Depth_Cn, PyrDown, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::pyrDown(d_src, dst); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::pyrDown(src, dst); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// PyrUp |
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PERF_TEST_P(Sz_Depth_Cn, PyrUp, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() cv::gpu::pyrUp(d_src, dst); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::pyrUp(src, dst); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// ImagePyramidBuild |
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PERF_TEST_P(Sz_Depth_Cn, ImagePyramidBuild, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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const int nLayers = 5; |
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const cv::Size dstSize(size.width / 2 + 10, size.height / 2 + 10); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::ImagePyramid d_pyr; |
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TEST_CYCLE() d_pyr.build(d_src, nLayers); |
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cv::gpu::GpuMat dst; |
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d_pyr.getLayer(dst, dstSize); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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FAIL_NO_CPU(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// ImagePyramidGetLayer |
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PERF_TEST_P(Sz_Depth_Cn, ImagePyramidGetLayer, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
|
|
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const int type = CV_MAKE_TYPE(depth, channels); |
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|
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
|
|
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const int nLayers = 3; |
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const cv::Size dstSize(size.width / 2 + 10, size.height / 2 + 10); |
|
|
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if (PERF_RUN_GPU()) |
|
{ |
|
const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
|
|
|
cv::gpu::ImagePyramid d_pyr(d_src, nLayers); |
|
|
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TEST_CYCLE() d_pyr.getLayer(dst, dstSize); |
|
|
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GPU_SANITY_CHECK(dst); |
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} |
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else |
|
{ |
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FAIL_NO_CPU(); |
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} |
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}
|
|
|