162 lines
5.0 KiB
C++
162 lines
5.0 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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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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 materials provided with the distribution.
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//
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// * The name of Intel Corporation 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 "gputest.hpp"
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#include "highgui.h"
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#include "cv.h"
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#include <string>
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#include <iostream>
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#include <fstream>
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#include <iterator>
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#include <limits>
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#include <numeric>
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#include <iomanip> // for cout << setw()
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using namespace cv;
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using namespace std;
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using namespace gpu;
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class CV_GpuMatAsyncCallTest : public CvTest
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{
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public:
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CV_GpuMatAsyncCallTest() : CvTest( "GPU-MatOperatorAsyncCall", "async" )
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{
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rows = 234;
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cols = 123;
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}
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~CV_GpuMatAsyncCallTest() {}
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protected:
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void run(int);
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template <typename T>
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void print_mat(const T & mat, const std::string & name) const;
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bool compare_matrix(cv::Mat & cpumat);
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private:
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int rows;
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int cols;
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};
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template<typename T>
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void CV_GpuMatAsyncCallTest::print_mat(const T & mat, const std::string & name) const { cv::imshow(name, mat); }
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bool CV_GpuMatAsyncCallTest::compare_matrix(cv::Mat & cpumat)
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{
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Mat cmat(cpumat.size(), cpumat.type(), Scalar::all(0));
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GpuMat gmat0(cmat);
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GpuMat gmat1;
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GpuMat gmat2;
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GpuMat gmat3;
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//int64 time = getTickCount();
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Stream stream;
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stream.enqueueMemSet(gmat0, cv::Scalar::all(1), gmat1);
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stream.enqueueMemSet(gmat0, cv::Scalar::all(1), gmat2);
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stream.enqueueMemSet(gmat0, cv::Scalar::all(1), gmat3);
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stream.waitForCompletion();
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//int64 time1 = getTickCount();
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gmat1.copyTo(gmat0);
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gmat2.copyTo(gmat0);
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gmat3.copyTo(gmat0);
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//int64 time2 = getTickCount();
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//std::cout << "\ntime async: " << std::fixed << std::setprecision(12) << double((time1 - time) / (double)getTickFrequency());
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//std::cout << "\ntime sync: " << std::fixed << std::setprecision(12) << double((time2 - time1) / (double)getTickFrequency());
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//std::cout << "\n";
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#ifdef PRINT_MATRIX
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print_mat(cmat, "cpu mat");
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print_mat(gmat0, "gpu mat 0");
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print_mat(gmat1, "gpu mat 1");
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print_mat(gmat2, "gpu mat 2");
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print_mat(gmat3, "gpu mat 3");
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cv::waitKey(0);
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#endif
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double ret = norm(cmat, gmat0) + norm(cmat, gmat1) + norm(cmat, gmat2) + norm(cmat, gmat3);
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if (ret < 1.0)
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return true;
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else
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{
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ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
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return false;
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}
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}
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void CV_GpuMatAsyncCallTest::run( int /* start_from */)
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{
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bool is_test_good = true;
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Mat cpumat(rows, cols, CV_8U);
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cpumat.setTo(Scalar::all(127));
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try
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{
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is_test_good &= compare_matrix(cpumat);
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}
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catch(cv::Exception& e)
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{
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if (!check_and_treat_gpu_exception(e, ts))
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throw;
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return;
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}
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if (is_test_good == true)
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ts->set_failed_test_info(CvTS::OK);
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else
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ts->set_failed_test_info(CvTS::FAIL_GENERIC);
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}
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/////////////////////////////////////////////////////////////////////////////
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/////////////////// tests registration /////////////////////////////////////
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/////////////////////////////////////////////////////////////////////////////
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CV_GpuMatAsyncCallTest CV_GpuMatAsyncCall_test;
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