mirror of https://github.com/opencv/opencv.git
Jin Ma
12 years ago
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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) 2010-2013, 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 "perf_precomp.hpp" |
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using namespace perf; |
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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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