165 lines
4.8 KiB
C++
165 lines
4.8 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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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 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 "cxcoretest.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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using namespace cv;
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using namespace std;
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class CV_MatrOpTest : public CvTest
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{
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public:
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CV_MatrOpTest();
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~CV_MatrOpTest();
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protected:
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void run(int);
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bool TestMat();
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bool TestMatND();
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bool TestSparseMat();
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bool checkMatSetError(const Mat& m1, const Mat& m2);
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};
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CV_MatrOpTest::CV_MatrOpTest(): CvTest( "matrix-operations", "?" )
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{
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support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
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}
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CV_MatrOpTest::~CV_MatrOpTest() {}
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bool CV_MatrOpTest::checkMatSetError(const Mat& m1, const Mat& m2)
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{
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if (norm(m1, m2, NORM_INF) == 0)
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return true;
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ts->set_failed_test_info(CvTS::FAIL_MISMATCH);
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return false;
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}
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bool CV_MatrOpTest::TestMat()
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{
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Mat one_3x1(3, 1, CV_32F, Scalar(1.0));
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Mat shi_3x1(3, 1, CV_32F, Scalar(1.2));
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Mat shi_2x1(2, 1, CV_32F, Scalar(-1));
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Scalar shift = Scalar::all(15);
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float data[] = { sqrt(2.f)/2, -sqrt(2.f)/2, 1.f, sqrt(2.f)/2, sqrt(2.f)/2, 10.f };
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Mat rot_2x3(2, 3, CV_32F, data);
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Mat res = rot_2x3 * (one_3x1 + shi_3x1 + shi_3x1 + shi_3x1) - shi_2x1 + shift;
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Mat tmp, res2;
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add(one_3x1, shi_3x1, tmp);
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add(tmp, shi_3x1, tmp);
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add(tmp, shi_3x1, tmp);
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gemm(rot_2x3, tmp, 1, shi_2x1, -1, res2, 0);
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add(res2, Mat(2, 1, CV_32F, shift), res2);
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if (!checkMatSetError(res, res2))
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return false;
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Mat mat4x4(4, 4, CV_32F);
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randu(mat4x4, Scalar(0), Scalar(10));
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Mat roi1 = mat4x4(Rect(Point(1, 1), Size(2, 2)));
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Mat roi2 = mat4x4(Range(1, 3), Range(1, 3));
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if (!checkMatSetError(roi1, roi2))
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return false;
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if (!checkMatSetError(mat4x4, mat4x4(Rect(Point(0,0), mat4x4.size()))))
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return false;
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return true;
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}
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bool CV_MatrOpTest::TestMatND()
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{
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int sizes[] = { 3, 3, 3};
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cv::MatND nd(3, sizes, CV_32F);
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/* MatND res = nd * nd + nd;
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MatND res2;
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cv::gemm(nd, nd, 1, nd, 1, res2);
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if (!checkMatSetError(res1, res2))
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return false;*/
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return true;
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}
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bool CV_MatrOpTest::TestSparseMat()
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{
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int sizes[] = { 10, 10, 10};
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SparseMat mat(sizeof(sizes)/sizeof(sizes[0]), sizes, CV_32F);
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return true;
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}
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void CV_MatrOpTest::run( int /* start_from */)
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{
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if (!TestMat())
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return;
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if (!TestMatND())
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return;
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if (!TestSparseMat())
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return;
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ts->set_failed_test_info(CvTS::OK);
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}
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CV_MatrOpTest cv_MatrOp_test;
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