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Open Source Computer Vision Library
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236 lines
6.4 KiB
236 lines
6.4 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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#ifdef HAVE_OPENCV_CUDAIMGPROC |
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# include "opencv2/cudaimgproc.hpp" |
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#endif |
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namespace opencv_test { namespace { |
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////////////////////////////////////////////////////// |
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// FGDStatModel |
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#ifdef HAVE_VIDEO_INPUT |
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DEF_PARAM_TEST_1(Video, string); |
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PERF_TEST_P(Video, FGDStatModel, |
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Values(string("gpu/video/768x576.avi"))) |
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{ |
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const int numIters = 10; |
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declare.time(60); |
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const string inputFile = perf::TestBase::getDataPath(GetParam()); |
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cv::VideoCapture cap(inputFile); |
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ASSERT_TRUE(cap.isOpened()); |
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cv::Mat frame; |
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cap >> frame; |
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ASSERT_FALSE(frame.empty()); |
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if (PERF_RUN_CUDA()) |
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{ |
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cv::cuda::GpuMat d_frame(frame), foreground; |
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cv::Ptr<cv::cuda::BackgroundSubtractorFGD> d_fgd = cv::cuda::createBackgroundSubtractorFGD(); |
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d_fgd->apply(d_frame, foreground); |
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int i = 0; |
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// collect performance data |
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for (; i < numIters; ++i) |
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{ |
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cap >> frame; |
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ASSERT_FALSE(frame.empty()); |
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d_frame.upload(frame); |
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startTimer(); |
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if(!next()) |
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break; |
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d_fgd->apply(d_frame, foreground); |
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stopTimer(); |
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} |
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// process last frame in sequence to get data for sanity test |
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for (; i < numIters; ++i) |
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{ |
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cap >> frame; |
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ASSERT_FALSE(frame.empty()); |
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d_frame.upload(frame); |
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d_fgd->apply(d_frame, foreground); |
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} |
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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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SANITY_CHECK_NOTHING(); |
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} |
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#endif |
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////////////////////////////////////////////////////// |
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// GMG |
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#ifdef HAVE_VIDEO_INPUT |
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DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int); |
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PERF_TEST_P(Video_Cn_MaxFeatures, GMG, |
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Combine(Values(string("gpu/video/768x576.avi")), |
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CUDA_CHANNELS_1_3_4, |
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Values(20, 40, 60))) |
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{ |
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const int numIters = 150; |
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const std::string inputFile = perf::TestBase::getDataPath(GET_PARAM(0)); |
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const int cn = GET_PARAM(1); |
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const int maxFeatures = GET_PARAM(2); |
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cv::VideoCapture cap(inputFile); |
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ASSERT_TRUE(cap.isOpened()); |
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cv::Mat frame; |
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cap >> frame; |
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ASSERT_FALSE(frame.empty()); |
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if (cn != 3) |
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{ |
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cv::Mat temp; |
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if (cn == 1) |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); |
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else |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); |
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cv::swap(temp, frame); |
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} |
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if (PERF_RUN_CUDA()) |
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{ |
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cv::cuda::GpuMat d_frame(frame); |
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cv::cuda::GpuMat foreground; |
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cv::Ptr<cv::cuda::BackgroundSubtractorGMG> d_gmg = cv::cuda::createBackgroundSubtractorGMG(); |
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d_gmg->setMaxFeatures(maxFeatures); |
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d_gmg->apply(d_frame, foreground); |
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int i = 0; |
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// collect performance data |
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for (; i < numIters; ++i) |
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{ |
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cap >> frame; |
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if (frame.empty()) |
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{ |
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cap.release(); |
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cap.open(inputFile); |
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cap >> frame; |
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} |
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if (cn != 3) |
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{ |
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cv::Mat temp; |
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if (cn == 1) |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); |
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else |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); |
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cv::swap(temp, frame); |
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} |
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d_frame.upload(frame); |
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startTimer(); |
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if(!next()) |
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break; |
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d_gmg->apply(d_frame, foreground); |
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stopTimer(); |
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} |
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// process last frame in sequence to get data for sanity test |
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for (; i < numIters; ++i) |
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{ |
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cap >> frame; |
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if (frame.empty()) |
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{ |
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cap.release(); |
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cap.open(inputFile); |
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cap >> frame; |
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} |
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if (cn != 3) |
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{ |
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cv::Mat temp; |
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if (cn == 1) |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY); |
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else |
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA); |
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cv::swap(temp, frame); |
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} |
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d_frame.upload(frame); |
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d_gmg->apply(d_frame, foreground); |
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} |
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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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SANITY_CHECK_NOTHING(); |
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} |
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#endif |
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}} // namespace
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