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Open Source Computer Vision Library
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142 lines
4.7 KiB
142 lines
4.7 KiB
/*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 "test_precomp.hpp" |
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#include <string> |
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using namespace std; |
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using namespace cv; |
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class CV_InpaintTest : public cvtest::BaseTest |
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{ |
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public: |
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CV_InpaintTest(); |
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~CV_InpaintTest(); |
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protected: |
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void run(int); |
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}; |
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CV_InpaintTest::CV_InpaintTest() |
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{ |
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} |
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CV_InpaintTest::~CV_InpaintTest() {} |
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void CV_InpaintTest::run( int ) |
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{ |
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string folder = string(ts->get_data_path()) + "inpaint/"; |
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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 mask = imread(folder + "mask.png"); |
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if (orig.empty() || exp1.empty() || exp2.empty() || mask.empty()) |
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{ |
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ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA ); |
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return; |
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} |
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Mat inv_mask; |
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mask.convertTo(inv_mask, CV_8UC3, -1.0, 255.0); |
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Mat mask1ch; |
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cv::cvtColor(mask, mask1ch, COLOR_BGR2GRAY); |
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Mat test = orig.clone(); |
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test.setTo(Scalar::all(255), mask1ch); |
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Mat res1, res2; |
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inpaint( test, mask1ch, res1, 5, INPAINT_NS ); |
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inpaint( test, mask1ch, res2, 5, INPAINT_TELEA ); |
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Mat diff1, diff2; |
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absdiff( orig, res1, diff1 ); |
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absdiff( orig, res2, diff2 ); |
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double n1 = cvtest::norm(diff1.reshape(1), NORM_INF, inv_mask.reshape(1)); |
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double n2 = cvtest::norm(diff2.reshape(1), NORM_INF, inv_mask.reshape(1)); |
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if (n1 != 0 || n2 != 0) |
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{ |
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ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH ); |
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return; |
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} |
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absdiff( exp1, res1, diff1 ); |
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absdiff( exp2, res2, diff2 ); |
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n1 = cvtest::norm(diff1.reshape(1), NORM_INF, mask.reshape(1)); |
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n2 = cvtest::norm(diff2.reshape(1), NORM_INF, mask.reshape(1)); |
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const int jpeg_thres = 3; |
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if (n1 > jpeg_thres || n2 > jpeg_thres) |
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{ |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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return; |
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} |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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TEST(Photo_Inpaint, regression) { CV_InpaintTest test; test.safe_run(); } |
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typedef testing::TestWithParam<std::tr1::tuple<int> > formats; |
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TEST_P(formats, 1c) |
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{ |
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const int type = std::tr1::get<0>(GetParam()); |
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Mat src(100, 100, type); |
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src.setTo(Scalar::all(128)); |
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Mat ref = src.clone(); |
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Mat dst, mask = Mat::zeros(src.size(), CV_8U); |
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circle(src, Point(50, 50), 5, Scalar(200), 6); |
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circle(mask, Point(50, 50), 5, Scalar(200), 6); |
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inpaint(src, mask, dst, 10, INPAINT_NS); |
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Mat dst2; |
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inpaint(src, mask, dst2, 10, INPAINT_TELEA); |
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ASSERT_LE(cv::norm(dst, ref, NORM_INF), 3.); |
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ASSERT_LE(cv::norm(dst2, ref, NORM_INF), 3.); |
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} |
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INSTANTIATE_TEST_CASE_P(Photo_Inpaint, formats, testing::Values(CV_32F, CV_16U, CV_8U));
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