vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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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) 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 <iostream>
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#include <opencv2/opencv_modules.hpp>
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#ifdef HAVE_OPENCV_FEATURES
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#include <opencv2/line_descriptor.hpp>
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#include <opencv2/core/utility.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/features.hpp>
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#include <opencv2/highgui.hpp>
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#include <vector>
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#include <time.h>
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using namespace cv;
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using namespace cv::line_descriptor;
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static const char* keys =
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{ "{@image_path1 | | Image path 1 }"
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"{@image_path2 | | Image path 2 }" };
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static void help()
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{
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std::cout << "\nThis example shows the functionalities of descriptors matching\n" << "Please, run this sample using a command in the form\n"
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<< "./example_line_descriptor_matching <path_to_input_image 1>" << "<path_to_input_image 2>" << std::endl;
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}
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uchar invertSingleBits( uchar dividend_char, int numBits );
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/* invert numBits bits in input char */
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uchar invertSingleBits( uchar dividend_char, int numBits )
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{
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std::vector<int> bin_vector;
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long dividend;
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long bin_num;
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/* convert input char to a long */
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dividend = (long) dividend_char;
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/*if a 0 has been obtained, just generate a 8-bit long vector of zeros */
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if( dividend == 0 )
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bin_vector = std::vector<int>( 8, 0 );
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/* else, apply classic decimal to binary conversion */
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else
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{
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while ( dividend >= 1 )
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{
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bin_num = dividend % 2;
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dividend /= 2;
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bin_vector.push_back( bin_num );
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}
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}
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/* ensure that binary vector always has length 8 */
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if( bin_vector.size() < 8 )
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{
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std::vector<int> zeros( 8 - bin_vector.size(), 0 );
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bin_vector.insert( bin_vector.end(), zeros.begin(), zeros.end() );
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}
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/* invert numBits bits */
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for ( int index = 0; index < numBits; index++ )
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{
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if( bin_vector[index] == 0 )
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bin_vector[index] = 1;
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else
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bin_vector[index] = 0;
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}
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/* reconvert to decimal */
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uchar result = 0;
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for ( int i = (int) bin_vector.size() - 1; i >= 0; i-- )
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result += (uchar) ( bin_vector[i] * (1 << i) );
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return result;
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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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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 paths" << 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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/* make a copy of descr2 mat */
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Mat descr2Copy = descr1.clone();
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/* randomly change some bits in original descriptors */
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srand( (unsigned int) time( NULL ) );
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for ( int j = 0; j < descr1.rows; j++ )
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{
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/* select a random column */
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int randCol = rand() % 32;
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/* get correspondent data */
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uchar u = descr1.at<uchar>( j, randCol );
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/* change bits */
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for ( int k = 1; k <= 5; k++ )
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{
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/* copy current row to train matrix */
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descr2Copy.push_back( descr1.row( j ) );
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/* invert k bits */
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uchar uc = invertSingleBits( u, k );
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/* update current row in train matrix */
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descr2Copy.at<uchar>( descr2Copy.rows - 1, randCol ) = uc;
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}
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}
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/* prepare a structure to host matches */
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std::vector<std::vector<DMatch> > matches;
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/* require knn match */
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bdm->knnMatch( descr1, descr2, matches, 6 );
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}
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#else
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int main()
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{
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std::cerr << "OpenCV was built without features module" << std::endl;
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return 0;
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}
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#endif // HAVE_OPENCV_FEATURES
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