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https://github.com/opencv/opencv.git
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97156897b2
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
122 lines
4.5 KiB
C++
122 lines
4.5 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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, 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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// Fangfang Bai, fangfang@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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#include <iomanip>
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#ifdef HAVE_OPENCL
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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PARAM_TEST_CASE(Blend, MatType, int)
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{
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int type;
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int channels;
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std::vector<cv::ocl::Info> oclinfo;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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channels = GET_PARAM(1);
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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//cv::ocl::setBinpath(CLBINPATH);
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}
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};
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TEST_P(Blend, Performance)
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{
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cv::Size size(MWIDTH, MHEIGHT);
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cv::Mat img1_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
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cv::Mat img2_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
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cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
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cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
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cv::ocl::oclMat gimg1(size, CV_MAKETYPE(type, channels)), gimg2(size, CV_MAKETYPE(type, channels)), gweights1(size, CV_32F), gweights2(size, CV_32F);
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cv::ocl::oclMat gdst(size, CV_MAKETYPE(type, channels));
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double totalgputick_all = 0;
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double totalgputick_kernel = 0;
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double t1 = 0;
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double t2 = 0;
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for (int j = 0; j < LOOP_TIMES + 1; j ++) //LOOP_TIMES=100
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{
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t1 = (double)cvGetTickCount();
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cv::ocl::oclMat gimg1 = cv::ocl::oclMat(img1_host);
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cv::ocl::oclMat gimg2 = cv::ocl::oclMat(img2_host);
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cv::ocl::oclMat gweights1 = cv::ocl::oclMat(weights1);
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cv::ocl::oclMat gweights2 = cv::ocl::oclMat(weights1);
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t2 = (double)cvGetTickCount();
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cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, gdst);
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t2 = (double)cvGetTickCount() - t2;
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cv::Mat m;
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gdst.download(m);
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t1 = (double)cvGetTickCount() - t1;
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if (j == 0)
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{
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continue;
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}
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totalgputick_all = t1 + totalgputick_all;
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totalgputick_kernel = t2 + totalgputick_kernel;
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};
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cout << "average gpu total runtime is " << totalgputick_all / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfering is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine(
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Values(CV_8U, CV_32F), Values(1, 4)));
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#endif |