XTDrone/sensing/slam/vslam/ORB_SLAM2/Examples/Stereo/stereo_euroc.cc

217 lines
6.7 KiB
C++

/**
* This file is part of ORB-SLAM2.
*
* Copyright (C) 2014-2016 Raúl Mur-Artal <raulmur at unizar dot es> (University of Zaragoza)
* For more information see <https://github.com/raulmur/ORB_SLAM2>
*
* ORB-SLAM2 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.
*
* ORB-SLAM2 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 ORB-SLAM2. If not, see <http://www.gnu.org/licenses/>.
*/
#include<iostream>
#include<algorithm>
#include<fstream>
#include<iomanip>
#include<chrono>
#include<opencv2/core/core.hpp>
#include<System.h>
using namespace std;
void LoadImages(const string &strPathLeft, const string &strPathRight, const string &strPathTimes,
vector<string> &vstrImageLeft, vector<string> &vstrImageRight, vector<double> &vTimeStamps);
int main(int argc, char **argv)
{
if(argc != 6)
{
cerr << endl << "Usage: ./stereo_euroc path_to_vocabulary path_to_settings path_to_left_folder path_to_right_folder path_to_times_file" << endl;
return 1;
}
// Retrieve paths to images
vector<string> vstrImageLeft;
vector<string> vstrImageRight;
vector<double> vTimeStamp;
LoadImages(string(argv[3]), string(argv[4]), string(argv[5]), vstrImageLeft, vstrImageRight, vTimeStamp);
if(vstrImageLeft.empty() || vstrImageRight.empty())
{
cerr << "ERROR: No images in provided path." << endl;
return 1;
}
if(vstrImageLeft.size()!=vstrImageRight.size())
{
cerr << "ERROR: Different number of left and right images." << endl;
return 1;
}
// Read rectification parameters
cv::FileStorage fsSettings(argv[2], cv::FileStorage::READ);
if(!fsSettings.isOpened())
{
cerr << "ERROR: Wrong path to settings" << endl;
return -1;
}
cv::Mat K_l, K_r, P_l, P_r, R_l, R_r, D_l, D_r;
fsSettings["LEFT.K"] >> K_l;
fsSettings["RIGHT.K"] >> K_r;
fsSettings["LEFT.P"] >> P_l;
fsSettings["RIGHT.P"] >> P_r;
fsSettings["LEFT.R"] >> R_l;
fsSettings["RIGHT.R"] >> R_r;
fsSettings["LEFT.D"] >> D_l;
fsSettings["RIGHT.D"] >> D_r;
int rows_l = fsSettings["LEFT.height"];
int cols_l = fsSettings["LEFT.width"];
int rows_r = fsSettings["RIGHT.height"];
int cols_r = fsSettings["RIGHT.width"];
if(K_l.empty() || K_r.empty() || P_l.empty() || P_r.empty() || R_l.empty() || R_r.empty() || D_l.empty() || D_r.empty() ||
rows_l==0 || rows_r==0 || cols_l==0 || cols_r==0)
{
cerr << "ERROR: Calibration parameters to rectify stereo are missing!" << endl;
return -1;
}
cv::Mat M1l,M2l,M1r,M2r;
cv::initUndistortRectifyMap(K_l,D_l,R_l,P_l.rowRange(0,3).colRange(0,3),cv::Size(cols_l,rows_l),CV_32F,M1l,M2l);
cv::initUndistortRectifyMap(K_r,D_r,R_r,P_r.rowRange(0,3).colRange(0,3),cv::Size(cols_r,rows_r),CV_32F,M1r,M2r);
const int nImages = vstrImageLeft.size();
// Create SLAM system. It initializes all system threads and gets ready to process frames.
ORB_SLAM2::System SLAM(argv[1],argv[2],ORB_SLAM2::System::STEREO,true);
// Vector for tracking time statistics
vector<float> vTimesTrack;
vTimesTrack.resize(nImages);
cout << endl << "-------" << endl;
cout << "Start processing sequence ..." << endl;
cout << "Images in the sequence: " << nImages << endl << endl;
// Main loop
cv::Mat imLeft, imRight, imLeftRect, imRightRect;
for(int ni=0; ni<nImages; ni++)
{
// Read left and right images from file
imLeft = cv::imread(vstrImageLeft[ni],CV_LOAD_IMAGE_UNCHANGED);
imRight = cv::imread(vstrImageRight[ni],CV_LOAD_IMAGE_UNCHANGED);
if(imLeft.empty())
{
cerr << endl << "Failed to load image at: "
<< string(vstrImageLeft[ni]) << endl;
return 1;
}
if(imRight.empty())
{
cerr << endl << "Failed to load image at: "
<< string(vstrImageRight[ni]) << endl;
return 1;
}
cv::remap(imLeft,imLeftRect,M1l,M2l,cv::INTER_LINEAR);
cv::remap(imRight,imRightRect,M1r,M2r,cv::INTER_LINEAR);
double tframe = vTimeStamp[ni];
#ifdef COMPILEDWITHC11
std::chrono::steady_clock::time_point t1 = std::chrono::steady_clock::now();
#else
std::chrono::monotonic_clock::time_point t1 = std::chrono::monotonic_clock::now();
#endif
// Pass the images to the SLAM system
SLAM.TrackStereo(imLeftRect,imRightRect,tframe);
#ifdef COMPILEDWITHC11
std::chrono::steady_clock::time_point t2 = std::chrono::steady_clock::now();
#else
std::chrono::monotonic_clock::time_point t2 = std::chrono::monotonic_clock::now();
#endif
double ttrack= std::chrono::duration_cast<std::chrono::duration<double> >(t2 - t1).count();
vTimesTrack[ni]=ttrack;
// Wait to load the next frame
double T=0;
if(ni<nImages-1)
T = vTimeStamp[ni+1]-tframe;
else if(ni>0)
T = tframe-vTimeStamp[ni-1];
if(ttrack<T)
usleep((T-ttrack)*1e6);
}
// Stop all threads
SLAM.Shutdown();
// Tracking time statistics
sort(vTimesTrack.begin(),vTimesTrack.end());
float totaltime = 0;
for(int ni=0; ni<nImages; ni++)
{
totaltime+=vTimesTrack[ni];
}
cout << "-------" << endl << endl;
cout << "median tracking time: " << vTimesTrack[nImages/2] << endl;
cout << "mean tracking time: " << totaltime/nImages << endl;
// Save camera trajectory
SLAM.SaveTrajectoryTUM("CameraTrajectory.txt");
return 0;
}
void LoadImages(const string &strPathLeft, const string &strPathRight, const string &strPathTimes,
vector<string> &vstrImageLeft, vector<string> &vstrImageRight, vector<double> &vTimeStamps)
{
ifstream fTimes;
fTimes.open(strPathTimes.c_str());
vTimeStamps.reserve(5000);
vstrImageLeft.reserve(5000);
vstrImageRight.reserve(5000);
while(!fTimes.eof())
{
string s;
getline(fTimes,s);
if(!s.empty())
{
stringstream ss;
ss << s;
vstrImageLeft.push_back(strPathLeft + "/" + ss.str() + ".png");
vstrImageRight.push_back(strPathRight + "/" + ss.str() + ".png");
double t;
ss >> t;
vTimeStamps.push_back(t/1e9);
}
}
}