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Commit 114f3266 authored by Jin Ma's avatar Jin Ma
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Removed performance test.

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modules/ocl/perf/perf_bgfg.cpp deleted 100644 → 0
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2013, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "perf_precomp.hpp"
using namespace perf;
using namespace cv;
using namespace cv::ocl;
static void cvtFrameFmt(std::vector<Mat>& input, std::vector<Mat>& output, int output_cn)
{
for(int i = 0; i< (int)(input.size()); i++)
{
if(output_cn == 1)
cvtColor(input[i], output[i], COLOR_RGB2GRAY);
else
cvtColor(input[i], output[i], COLOR_RGB2RGBA);
}
}
///////////// MOG////////////////////////
PERFTEST(mog)
{
const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
int cn[] = {1, 3};
float learningRate[] = {0.0f, 0.01f};
for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
{
VideoCapture cap(inputFile[idx]);
ASSERT_TRUE(cap.isOpened());
Mat frame;
int nframe = 5;
Mat foreground_cpu;
oclMat foreground_ocl;
std::vector<cv::Mat> frame_buffer_init;
std::vector<Mat> frame_buffer(nframe);
std::vector<oclMat> frame_buffer_ocl;
std::vector<Mat> foreground_buf_ocl;
std::vector<Mat> foreground_buf_cpu;
BackgroundSubtractorMOG mog_cpu;
cv::ocl::MOG d_mog;
for(int i = 0; i < nframe; i++)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
frame_buffer_init.push_back(frame);
}
for(unsigned int i = 0; i < sizeof(learningRate)/sizeof(float); i++)
{
for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
{
SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j]<<"; learningRate: "<<learningRate[i];
if(cn[j]==1)
cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
else
frame_buffer=frame_buffer_init;
foreground_buf_cpu.clear();
CPU_ON;
for(int iter = 0; iter < nframe; iter++)
{
mog_cpu(frame_buffer[iter], foreground_cpu, learningRate[i]);
foreground_buf_cpu.push_back(foreground_cpu);
}
CPU_OFF;
WARMUP_ON;
d_mog(oclMat(frame_buffer[0]), foreground_ocl, learningRate[i]);
WARMUP_OFF;
frame_buffer_ocl.clear();
for(int iter =0; iter < nframe; iter++)
frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
GPU_ON;
for(int iter = 0; iter < nframe; iter++)
{
d_mog(frame_buffer_ocl[iter], foreground_ocl, learningRate[i]);
}
GPU_OFF;
foreground_buf_ocl.clear();
GPU_FULL_ON;
for(int iter = 0; iter < nframe; iter++)
{
d_mog(oclMat(frame_buffer[iter]), foreground_ocl, learningRate[i]);
cv::Mat temp;
foreground_ocl.download(temp);
foreground_buf_ocl.push_back(temp);
}
GPU_FULL_OFF;
for(int iter = 0; iter < nframe; iter++)
TestSystem::instance().ExpectedMatNear(foreground_buf_ocl[iter], foreground_buf_cpu[iter], 0.0);
}
}
cap.release();
d_mog.release();
}
}
///////////// MOG2////////////////////////
PERFTEST(mog2)
{
const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
int cn[] = {1, 3, 4};
for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
{
cv::VideoCapture cap(inputFile[idx]);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
int nframe = 5;
std::vector<cv::Mat> frame_buffer_init;
std::vector<cv::Mat> frame_buffer(nframe);
std::vector<cv::ocl::oclMat> frame_buffer_ocl;
std::vector<cv::Mat> foreground_buf_ocl;
std::vector<cv::Mat> foreground_buf_cpu;
cv::ocl::oclMat foreground_ocl;
for(int i = 0; i < nframe; i++)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
frame_buffer_init.push_back(frame);
}
cv::ocl::MOG2 d_mog;
for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
{
SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j];
if(cn[j] == 1)
cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
else
frame_buffer=frame_buffer_init;
cv::BackgroundSubtractorMOG2 mog_cpu;
mog_cpu.set("detectShadows", false);
cv::Mat foreground_cpu;
foreground_buf_cpu.clear();
CPU_ON;
for(int iter = 0; iter < nframe; iter++)
{
mog_cpu(frame_buffer[iter], foreground_cpu);
foreground_buf_cpu.push_back(foreground_cpu);
}
CPU_OFF;
WARMUP_ON;
d_mog(oclMat(frame_buffer[0]), foreground_ocl);
WARMUP_OFF;
frame_buffer_ocl.clear();
for(int iter =0; iter < nframe; iter++)
frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
GPU_ON;
for(int iter = 0; iter < nframe; iter++)
{
d_mog(frame_buffer_ocl[iter], foreground_ocl);
}
GPU_OFF;
foreground_buf_ocl.clear();
GPU_FULL_ON;
for(int iter = 0; iter < nframe; iter++)
{
d_mog(oclMat(frame_buffer[iter]), foreground_ocl);
cv::Mat temp1;
foreground_ocl.download(temp1);
foreground_buf_ocl.push_back(temp1);
}
GPU_FULL_OFF;
for(int iter = 0; iter < nframe; iter++)
TestSystem::instance().ExpectedMatNear(foreground_buf_ocl[iter], foreground_buf_cpu[iter], 0.0);
}
cap.release();
d_mog.release();
}
}
///////////// MOG2GetBackgroundImage////////////////////////
PERFTEST(mog2_GetBackgroundImage)
{
const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
int cn[] = {3};
for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
{
cv::VideoCapture cap(inputFile[idx]);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
cap >> frame;
ASSERT_FALSE(frame.empty());
int nframe = 5;
std::vector<cv::Mat> frame_buffer_init;
std::vector<cv::Mat> frame_buffer(nframe);
std::vector<cv::ocl::oclMat> frame_buffer_ocl;
std::vector<cv::Mat> foreground_buf_ocl;
std::vector<cv::Mat> foreground_buf_cpu;
for(int i = 0; i < nframe; i++)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
frame_buffer_init.push_back(frame);
}
for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
{
SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j];
frame_buffer = frame_buffer_init;
cv::Mat temp;
if(cn[j] == 1)
cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
else
frame_buffer=frame_buffer_init;
cv::BackgroundSubtractorMOG2 mog_cpu;
cv::Mat foreground_cpu;
cv::Mat background_cpu;
mog_cpu(frame, foreground_cpu);
mog_cpu.getBackgroundImage(background_cpu);
foreground_cpu.release();
background_cpu.release();
cv::ocl::oclMat d_frame(frame);
cv::ocl::MOG2 d_mog;
cv::ocl::oclMat foreground_ocl;
cv::ocl::oclMat background_ocl;
for(int iter =0; iter < nframe; iter++)
frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
CPU_ON;
for(int iter = 0; iter < nframe; iter++)
{
mog_cpu(frame_buffer[iter], foreground_cpu);
foreground_buf_cpu.push_back(foreground_cpu);
}
mog_cpu.getBackgroundImage(background_cpu);
CPU_OFF;
WARMUP_ON;
d_mog(d_frame, foreground_ocl);
WARMUP_OFF;
foreground_ocl.release();
GPU_ON;
for(int iter = 0; iter < nframe; iter++)
{
d_mog(frame_buffer_ocl[iter], foreground_ocl);
}
d_mog.getBackgroundImage(background_ocl);
GPU_OFF;
foreground_buf_ocl.clear();
cv::Mat temp1;
GPU_FULL_ON;
for(int iter = 0; iter < nframe; iter++)
{
d_mog(oclMat(frame_buffer[iter]), foreground_ocl);
foreground_ocl.download(temp1);
foreground_buf_ocl.push_back(temp1);
}
d_mog.getBackgroundImage(background_ocl);
GPU_FULL_OFF;
background_ocl.download(temp1);
TestSystem::instance().ExpectedMatNear(temp1, background_cpu, 0.0);
}
}
}
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