146 lines
4.7 KiB
C++
146 lines
4.7 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 "test_precomp.hpp"
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#include <fstream>
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#include <iterator>
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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_GpuMatOpCopyToTest : public cvtest::BaseTest
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{
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public:
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CV_GpuMatOpCopyToTest()
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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_GpuMatOpCopyToTest() {}
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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, gpu::GpuMat & gpumat);
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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_GpuMatOpCopyToTest::print_mat(const T & mat, const std::string & name) const { cv::imshow(name, mat); }
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bool CV_GpuMatOpCopyToTest::compare_matrix(cv::Mat & cpumat, gpu::GpuMat & gpumat)
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{
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Mat cmat(cpumat.size(), cpumat.type(), Scalar::all(0));
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GpuMat gmat(cmat);
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Mat cpumask(cpumat.size(), CV_8U);
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cv::RNG& rng = ts->get_rng();
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rng.fill(cpumask, RNG::NORMAL, Scalar::all(0), Scalar::all(127));
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threshold(cpumask, cpumask, 0, 127, THRESH_BINARY);
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GpuMat gpumask(cpumask);
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//int64 time = getTickCount();
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cpumat.copyTo(cmat, cpumask);
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//int64 time1 = getTickCount();
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gpumat.copyTo(gmat, gpumask);
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//int64 time2 = getTickCount();
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//std::cout << "\ntime cpu: " << std::fixed << std::setprecision(12) << 1.0 / double((time1 - time) / (double)getTickFrequency());
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//std::cout << "\ntime gpu: " << std::fixed << std::setprecision(12) << 1.0 / 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(gmat, "gpu mat");
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print_mat(cpumask, "cpu mask");
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print_mat(gpumask, "gpu mask");
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cv::waitKey(0);
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#endif
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double ret = norm(cmat, (Mat)gmat);
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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(cvtest::TS::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_GpuMatOpCopyToTest::run( int /* start_from */)
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{
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bool is_test_good = true;
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int lastType = CV_32F;
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if (TargetArchs::builtWith(NATIVE_DOUBLE) && DeviceInfo().supports(NATIVE_DOUBLE))
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lastType = CV_64F;
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for (int i = 0 ; i <= lastType; i++)
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{
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Mat cpumat(rows, cols, i);
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cpumat.setTo(Scalar::all(127));
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GpuMat gpumat(cpumat);
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is_test_good &= compare_matrix(cpumat, gpumat);
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}
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if (is_test_good == true)
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ts->set_failed_test_info(cvtest::TS::OK);
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else
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ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
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}
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TEST(GpuMat_copyTo, accuracy) { CV_GpuMatOpCopyToTest test; test.safe_run(); }
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