334 lines
11 KiB
C++
334 lines
11 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) 2010-2013, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2013, 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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// 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 oclMaterials 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 "precomp.hpp"
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using namespace cv;
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using namespace cv::ocl;
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static void cvtFrameFmt(std::vector<Mat>& input, std::vector<Mat>& output, int output_cn)
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{
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for(int i = 0; i< (int)(input.size()); i++)
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{
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if(output_cn == 1)
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cvtColor(input[i], output[i], COLOR_RGB2GRAY);
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else
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cvtColor(input[i], output[i], COLOR_RGB2RGBA);
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}
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}
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///////////// MOG////////////////////////
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PERFTEST(mog)
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{
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const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
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int cn[] = {1, 3};
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float learningRate[] = {0.0f, 0.01f};
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for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
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{
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VideoCapture cap(inputFile[idx]);
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ASSERT_TRUE(cap.isOpened());
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Mat frame;
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int nframe = 5;
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Mat foreground_cpu;
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oclMat foreground_ocl;
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std::vector<cv::Mat> frame_buffer_init;
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std::vector<Mat> frame_buffer(nframe);
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std::vector<oclMat> frame_buffer_ocl;
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std::vector<Mat> foreground_buf_ocl;
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std::vector<Mat> foreground_buf_cpu;
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BackgroundSubtractorMOG mog_cpu;
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cv::ocl::MOG d_mog;
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for(int i = 0; i < nframe; i++)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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frame_buffer_init.push_back(frame);
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}
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for(unsigned int i = 0; i < sizeof(learningRate)/sizeof(float); i++)
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{
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for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
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{
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SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j]<<"; learningRate: "<<learningRate[i];
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if(cn[j]==1)
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cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
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else
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frame_buffer=frame_buffer_init;
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foreground_buf_cpu.clear();
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CPU_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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mog_cpu(frame_buffer[iter], foreground_cpu, learningRate[i]);
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foreground_buf_cpu.push_back(foreground_cpu);
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}
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CPU_OFF;
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WARMUP_ON;
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d_mog(oclMat(frame_buffer[0]), foreground_ocl, learningRate[i]);
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WARMUP_OFF;
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frame_buffer_ocl.clear();
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for(int iter =0; iter < nframe; iter++)
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frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
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GPU_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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d_mog(frame_buffer_ocl[iter], foreground_ocl, learningRate[i]);
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}
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GPU_OFF;
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foreground_buf_ocl.clear();
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GPU_FULL_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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d_mog(oclMat(frame_buffer[iter]), foreground_ocl, learningRate[i]);
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cv::Mat temp;
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foreground_ocl.download(temp);
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foreground_buf_ocl.push_back(temp);
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}
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GPU_FULL_OFF;
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for(int iter = 0; iter < nframe; iter++)
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TestSystem::instance().ExpectedMatNear(foreground_buf_ocl[iter], foreground_buf_cpu[iter], 0.0);
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}
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}
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cap.release();
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d_mog.release();
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}
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}
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///////////// MOG2////////////////////////
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PERFTEST(mog2)
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{
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const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
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int cn[] = {1, 3, 4};
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for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
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{
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cv::VideoCapture cap(inputFile[idx]);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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int nframe = 5;
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std::vector<cv::Mat> frame_buffer_init;
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std::vector<cv::Mat> frame_buffer(nframe);
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std::vector<cv::ocl::oclMat> frame_buffer_ocl;
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std::vector<cv::Mat> foreground_buf_ocl;
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std::vector<cv::Mat> foreground_buf_cpu;
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cv::ocl::oclMat foreground_ocl;
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for(int i = 0; i < nframe; i++)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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frame_buffer_init.push_back(frame);
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}
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cv::ocl::MOG2 d_mog;
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for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
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{
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SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j];
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if(cn[j] == 1)
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cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
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else
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frame_buffer=frame_buffer_init;
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cv::BackgroundSubtractorMOG2 mog_cpu;
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mog_cpu.set("detectShadows", false);
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cv::Mat foreground_cpu;
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foreground_buf_cpu.clear();
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CPU_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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mog_cpu(frame_buffer[iter], foreground_cpu);
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foreground_buf_cpu.push_back(foreground_cpu);
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}
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CPU_OFF;
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WARMUP_ON;
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d_mog(oclMat(frame_buffer[0]), foreground_ocl);
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WARMUP_OFF;
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frame_buffer_ocl.clear();
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for(int iter =0; iter < nframe; iter++)
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frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
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GPU_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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d_mog(frame_buffer_ocl[iter], foreground_ocl);
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}
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GPU_OFF;
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foreground_buf_ocl.clear();
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GPU_FULL_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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d_mog(oclMat(frame_buffer[iter]), foreground_ocl);
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cv::Mat temp1;
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foreground_ocl.download(temp1);
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foreground_buf_ocl.push_back(temp1);
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}
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GPU_FULL_OFF;
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for(int iter = 0; iter < nframe; iter++)
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TestSystem::instance().ExpectedMatNear(foreground_buf_ocl[iter], foreground_buf_cpu[iter], 0.0);
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}
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cap.release();
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d_mog.release();
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}
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}
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///////////// MOG2GetBackgroundImage////////////////////////
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PERFTEST(mog2_GetBackgroundImage)
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{
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const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
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int cn[] = {3};
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for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
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{
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cv::VideoCapture cap(inputFile[idx]);
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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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int nframe = 5;
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std::vector<cv::Mat> frame_buffer_init;
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std::vector<cv::Mat> frame_buffer(nframe);
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std::vector<cv::ocl::oclMat> frame_buffer_ocl;
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std::vector<cv::Mat> foreground_buf_ocl;
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std::vector<cv::Mat> foreground_buf_cpu;
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for(int i = 0; i < nframe; i++)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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frame_buffer_init.push_back(frame);
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}
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for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
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{
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SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j];
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frame_buffer = frame_buffer_init;
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cv::Mat temp;
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if(cn[j] == 1)
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cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
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else
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frame_buffer=frame_buffer_init;
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cv::BackgroundSubtractorMOG2 mog_cpu;
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cv::Mat foreground_cpu;
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cv::Mat background_cpu;
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mog_cpu(frame, foreground_cpu);
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mog_cpu.getBackgroundImage(background_cpu);
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foreground_cpu.release();
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background_cpu.release();
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cv::ocl::oclMat d_frame(frame);
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cv::ocl::MOG2 d_mog;
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cv::ocl::oclMat foreground_ocl;
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cv::ocl::oclMat background_ocl;
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for(int iter =0; iter < nframe; iter++)
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frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
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CPU_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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mog_cpu(frame_buffer[iter], foreground_cpu);
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foreground_buf_cpu.push_back(foreground_cpu);
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}
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mog_cpu.getBackgroundImage(background_cpu);
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CPU_OFF;
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WARMUP_ON;
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d_mog(d_frame, foreground_ocl);
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WARMUP_OFF;
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foreground_ocl.release();
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GPU_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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d_mog(frame_buffer_ocl[iter], foreground_ocl);
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}
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d_mog.getBackgroundImage(background_ocl);
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GPU_OFF;
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foreground_buf_ocl.clear();
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cv::Mat temp1;
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GPU_FULL_ON;
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for(int iter = 0; iter < nframe; iter++)
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{
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d_mog(oclMat(frame_buffer[iter]), foreground_ocl);
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foreground_ocl.download(temp1);
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foreground_buf_ocl.push_back(temp1);
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}
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d_mog.getBackgroundImage(background_ocl);
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GPU_FULL_OFF;
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background_ocl.download(temp1);
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TestSystem::instance().ExpectedMatNear(temp1, background_cpu, 0.0);
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}
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}
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}
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