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131 lines
4.7 KiB
131 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) 2014, Biagio Montesano, 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 <opencv2/line_descriptor.hpp> |
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#include "opencv2/core/utility.hpp" |
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#include "opencv2/core/private.hpp" |
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#include <opencv2/imgproc.hpp> |
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#include <opencv2/features2d.hpp> |
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#include <opencv2/highgui.hpp> |
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#include <iostream> |
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using namespace cv; |
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static const char* keys = |
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{ |
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"{@image_path1 | | Image path 1 }" |
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"{@image_path2 | | Image path 2 }" |
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}; |
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static void help() |
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{ |
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std::cout << "\nThis example shows the functionalities of lines extraction " << |
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"and descriptors computation furnished by BinaryDescriptor class\n" << |
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"Please, run this sample using a command in the form\n" << |
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"./example_line_descriptor_compute_descriptors <path_to_input_image 1>" |
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<< "<path_to_input_image 2>" << std::endl; |
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} |
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int main( int argc, char** argv ) |
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{ |
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/* get parameters from comand line */ |
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CommandLineParser parser( argc, argv, keys ); |
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String image_path1 = parser.get<String>( 0 ); |
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String image_path2 = parser.get<String>( 1 ); |
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if(image_path1.empty() || image_path2.empty()) |
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{ |
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help(); |
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return -1; |
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} |
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/* load image */ |
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cv::Mat imageMat1 = imread(image_path1, 1); |
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cv::Mat imageMat2 = imread(image_path2, 1); |
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waitKey(); |
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if(imageMat1.data == NULL || imageMat2.data == NULL) |
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{ |
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std::cout << "Error, images could not be loaded. Please, check their path" |
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<< std::endl; |
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} |
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/* create binary masks */ |
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cv::Mat mask1 = Mat::ones(imageMat1.size(), CV_8UC1); |
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cv::Mat mask2 = Mat::ones(imageMat2.size(), CV_8UC1); |
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/* create a pointer to a BinaryDescriptor object with default parameters */ |
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Ptr<BinaryDescriptor> bd = BinaryDescriptor::createBinaryDescriptor(); |
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/* compute lines */ |
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std::vector<KeyLine> keylines1, keylines2; |
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bd->detect(imageMat1, keylines1, mask1); |
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bd->detect(imageMat2, keylines2, mask2); |
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/* compute descriptors */ |
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cv::Mat descr1, descr2; |
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bd->compute(imageMat1, keylines1, descr1); |
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bd->compute(imageMat2, keylines2, descr2); |
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/* create a BinaryDescriptorMatcher object */ |
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Ptr<BinaryDescriptorMatcher> bdm = BinaryDescriptorMatcher::createBinaryDescriptorMatcher(); |
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/* require match */ |
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std::vector<DMatch> matches; |
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bdm->match(descr1, descr2, matches); |
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/* plot matches */ |
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cv::Mat outImg; |
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std::vector<char> mask (matches.size(), 1); |
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drawLineMatches(imageMat1, keylines1, imageMat2, keylines2, matches, |
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outImg, Scalar::all(-1), Scalar::all(-1), mask, |
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DrawLinesMatchesFlags::DEFAULT); |
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std::cout << "num dmatch " << matches.size() << std::endl; |
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imshow("Matches", outImg); |
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waitKey(); |
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} |
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