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Matcher functionalities' tests completed
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169
modules/line_descriptor/samples/knn_matching.cpp
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169
modules/line_descriptor/samples/knn_matching.cpp
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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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#include <vector>
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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 descriptors matching\n" <<
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"Please, run this sample using a command in the form\n" <<
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"./example_line_descriptor_matching <path_to_input_image 1>"
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<< "<path_to_input_image 2>" << std::endl;
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}
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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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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;
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for(int i = (int)bin_vector.size()-1; i>=0; i--)
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result += bin_vector[i]*pow(2, 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"
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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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/* 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 (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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/* visualize matches and Hamming distances */
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for(size_t v = 0; v<matches.size(); v++)
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{
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for(size_t m = 0; m<matches[v].size(); m++)
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{
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DMatch dm = matches[v][m];
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std::cout << dm.queryIdx << " " << dm.trainIdx << " "
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<< dm.distance << std::endl;
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}
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}
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}
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