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//=============================================================================
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//
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// utils.cpp
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// Author: Pablo F. Alcantarilla
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// Institution: University d'Auvergne
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// Address: Clermont Ferrand, France
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// Date: 29/12/2011
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// Email: pablofdezalc@gmail.com
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//
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// KAZE Features Copyright 2012, Pablo F. Alcantarilla
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// All Rights Reserved
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// See LICENSE for the license information
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//=============================================================================
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/**
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* @file utils.cpp
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* @brief Some useful functions
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* @date Dec 29, 2011
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* @author Pablo F. Alcantarilla
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*/
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#include "utils.h"
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using namespace std;
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using namespace cv;
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//*************************************************************************************
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//*************************************************************************************
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/**
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* @brief This function copies the input image and converts the scale of the copied
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* image prior visualization
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* @param src Input image
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* @param dst Output image
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*/
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void copy_and_convert_scale(const cv::Mat& src, cv::Mat& dst) {
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float min_val = 0, max_val = 0;
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src.copyTo(dst);
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compute_min_32F(dst,min_val);
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dst = dst - min_val;
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compute_max_32F(dst,max_val);
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dst = dst / max_val;
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}
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//*************************************************************************************
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//*************************************************************************************
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/*
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void show_input_options_help(int example) {
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fflush(stdout);
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cout << endl;
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cout << endl;
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cout << "KAZE Features" << endl;
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cout << "***********************************************************" << endl;
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cout << "For running the program you need to type in the command line the following arguments: " << endl;
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if (example == 0) {
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cout << "./kaze_features img.jpg [options]" << endl;
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}
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else if (example == 1) {
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cout << "./kaze_match img1.jpg img2.pgm homography.txt [options]" << endl;
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}
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else if (example == 2) {
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cout << "./kaze_compare img1.jpg img2.pgm homography.txt [options]" << endl;
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}
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cout << endl;
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cout << "The options are not mandatory. In case you do not specify additional options, default arguments will be used" << endl << endl;
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cout << "Here is a description of the additional options: " << endl;
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cout << "--verbose " << "\t\t if verbosity is required" << endl;
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cout << "--help" << "\t\t for showing the command line options" << endl;
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cout << "--soffset" << "\t\t the base scale offset (sigma units)" << endl;
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cout << "--omax" << "\t\t maximum octave evolution of the image 2^sigma (coarsest scale)" << endl;
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cout << "--nsublevels" << "\t\t number of sublevels per octave" << endl;
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cout << "--dthreshold" << "\t\t Feature detector threshold response for accepting points (0.001 can be a good value)" << endl;
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cout << "--descriptor" << "\t\t Descriptor Type 0 -> SURF, 1 -> M-SURF, 2 -> G-SURF" << endl;
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cout << "--use_fed" "\t\t 1 -> Use FED, 0 -> Use AOS for the nonlinear diffusion filtering" << endl;
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cout << "--upright" << "\t\t 0 -> Rotation Invariant, 1 -> No Rotation Invariant" << endl;
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cout << "--extended" << "\t\t 0 -> Normal Descriptor (64), 1 -> Extended Descriptor (128)" << endl;
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cout << "--output keypoints.txt" << "\t\t For saving the detected keypoints into a .txt file" << endl;
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cout << "--save_scale_space" << "\t\t 1 in case we want to save the nonlinear scale space images. 0 otherwise" << endl;
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cout << "--show_results" << "\t\t 1 in case we want to show detection results. 0 otherwise" << endl;
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cout << endl;
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}
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*/
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Ievgen Khvedchenia