opencv/modules/ocl/perf/perf_pyrup.cpp
niko 97156897b2 format files to ANSI C style with coolformat
change the download channels to oclchannles()
fix bugs of arithm functions
perf fix of bilateral
bug fix of split test case
add build_warps functions
2012-10-11 16:22:47 +08:00

122 lines
4.0 KiB
C++

/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// fangfang bai fangfang@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,
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// * Redistribution's in binary form must reproduce the above copyright notice,
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//M*/
#include "opencv2/core/core.hpp"
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(PyrUp, MatType, int)
{
int type;
int channels;
//std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
TEST_P(PyrUp, Performance)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::Mat src = randomMat(size, CV_MAKETYPE(type, channels));
cv::Mat dst_gold;
cv::ocl::oclMat dst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for (int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat srcMat = cv::ocl::oclMat(src);//upload
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::pyrUp(srcMat, dst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
dst.download(cpu_dst); //download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if (j == 0)
{
continue;
}
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrUp, Combine(
Values(CV_8U, CV_32F), Values(1, 4)));
#endif // HAVE_OPENCL