114 lines
4.1 KiB
C++
114 lines
4.1 KiB
C++
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/*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) 2015, University of Ostrava, Institute for Research and Applications of Fuzzy Modeling,
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// Pavel Vlasanek, all rights reserved. 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 "test_precomp.hpp"
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namespace opencv_test { namespace {
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TEST(fuzzy_image, inpainting)
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{
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string folder = string(cvtest::TS::ptr()->get_data_path()) + "fuzzy/";
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Mat orig = imread(folder + "orig.png");
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Mat exp1 = imread(folder + "exp1.png");
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Mat exp2 = imread(folder + "exp2.png");
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Mat exp3 = imread(folder + "exp3.png");
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Mat mask1 = imread(folder + "mask1.png", IMREAD_GRAYSCALE);
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Mat mask2 = imread(folder + "mask2.png", IMREAD_GRAYSCALE);
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EXPECT_TRUE(!orig.empty() && !exp1.empty() && !exp2.empty() && !exp3.empty() && !mask1.empty() && !mask2.empty());
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Mat res1, res2, res3;
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ft::inpaint(orig, mask1, res1, 2, ft::LINEAR, ft::ONE_STEP);
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ft::inpaint(orig, mask2, res2, 2, ft::LINEAR, ft::MULTI_STEP);
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ft::inpaint(orig, mask2, res3, 2, ft::LINEAR, ft::ITERATIVE);
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res1.convertTo(res1, CV_8UC3);
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res2.convertTo(res2, CV_8UC3);
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res3.convertTo(res3, CV_8UC3);
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double n1 = cvtest::norm(exp1, res1, NORM_INF);
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double n2 = cvtest::norm(exp2, res2, NORM_INF);
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double n3 = cvtest::norm(exp3, res3, NORM_INF);
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EXPECT_LE(n1, 1);
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EXPECT_LE(n2, 1);
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EXPECT_LE(n3, 1);
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}
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TEST(fuzzy_image, filtering)
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{
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string folder = string(cvtest::TS::ptr()->get_data_path()) + "fuzzy/";
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Mat orig = imread(folder + "orig.png");
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Mat exp4 = imread(folder + "exp4.png");
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EXPECT_TRUE(!orig.empty() && !exp4.empty());
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Mat kernel;
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ft::createKernel(ft::LINEAR, 20, kernel, 3);
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Mat res4;
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ft::filter(orig, kernel, res4);
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res4.convertTo(res4, CV_8UC3);
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double n1 = cvtest::norm(exp4, res4, NORM_INF);
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EXPECT_LE(n1, 1);
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}
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TEST(fuzzy_image, kernel)
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{
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Mat kernel1;
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ft::createKernel(ft::LINEAR, 2, kernel1, 1);
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Mat vectorA = (Mat_<float>(1, 5) << 0, 0.5, 1, 0.5, 0);
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Mat vectorB = (Mat_<float>(5, 1) << 0, 0.5, 1, 0.5, 0);
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Mat kernel2;
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ft::createKernel(vectorA, vectorB, kernel2, 1);
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double diff = cvtest::norm(kernel1, kernel2, NORM_INF);
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EXPECT_DOUBLE_EQ(diff, 0);
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}
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}} // namespace
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