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framework-utiles.hpp
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/*
* sfs-framework
*
* Nils Hamel - nils.hamel@bluewin.ch
* Charles Papon - charles.papon.90@gmail.com
* Copyright (c) 2019-2020 DHLAB, EPFL & HES-SO Valais-Wallis
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#pragma once
// External includes
#include <iostream>
#include <cmath>
#include <string>
#include <experimental/filesystem>
#include <Eigen/Core>
#include <opencv4/opencv2/core.hpp>
// Internal includes
#include "gms_matcher.hpp"
// Namespaces
namespace fs = std::experimental::filesystem;
template<typename T> std::pair<bool, int> findInVector(const std::vector<T> &vecOfElements, const T &element) {
std::pair<bool, int> result;
// Find given element in vector
auto it = std::find(vecOfElements.begin(), vecOfElements.end(), element);
if (it != vecOfElements.end()) {
result.second = distance(vecOfElements.begin(), it);
result.first = true;
} else {
result.first = false;
result.second = -1;
}
return result;
}
void utilesDirectories(std::string rootPath, std::string modeName);
Eigen::Vector3d utilesDirection(double x, double y, int width, int height);
void utilesAKAZEFeatures(cv::Mat* image, cv::Mat* mask, std::vector<cv::KeyPoint>* keypoints, cv::Mat* desc, float const threshold);
void utilesGMSMatcher(std::vector<cv::KeyPoint>* k1, cv::Mat* d1, cv::Size s1, std::vector<cv::KeyPoint>* k2, cv::Mat* d2, cv::Size s2, std::vector<cv::DMatch> *matches);
double utilesDetectMotion(std::vector<cv::KeyPoint> *kp1, std::vector<cv::KeyPoint> *kp2, std::vector<cv::DMatch> *matches, cv::Size size);
double bilinear_sample(double *p, double x, double y, int width);
float bilinear_sample(float *p, float x, float y, int width);