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dsp_slam_mono.cc
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/**
* This file is part of https://github.com/JingwenWang95/DSP-SLAM
*
* 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/>
*/
#include<iostream>
#include<algorithm>
#include<fstream>
#include<chrono>
#include<iomanip>
#include<opencv2/core/core.hpp>
#include"System.h"
using namespace std;
void LoadImages(const string &strSequence, const float &fps, vector<string> &vstrImageFilenames,
vector<double> &vTimestamps);
int main(int argc, char **argv)
{
if(argc != 5)
{
cerr << endl << "Usage: ./mono_kitti path_to_vocabulary path_to_settings path_to_sequence path_to_saved_trajectory" << endl;
return 1;
}
cv::FileStorage fSettings(string(argv[2]), cv::FileStorage::READ);
float fps = fSettings["Camera.fps"];
// Retrieve paths to images
vector<string> vstrImageFilenames;
vector<double> vTimestamps;
LoadImages(string(argv[3]), fps, vstrImageFilenames, vTimestamps);
int nImages = vstrImageFilenames.size();
// Create SLAM system. It initializes all system threads and gets ready to process frames.
ORB_SLAM2::System SLAM(argv[1], argv[2], argv[3], ORB_SLAM2::System::MONOCULAR);
// 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 im;
for(int ni = 0; ni < nImages; ni++)
{
// Read image from file
im = cv::imread(vstrImageFilenames[ni],CV_LOAD_IMAGE_UNCHANGED);
double tframe = vTimestamps[ni];
if(im.empty())
{
cerr << endl << "Failed to load image at: " << vstrImageFilenames[ni] << endl;
return 1;
}
std::chrono::steady_clock::time_point t1 = std::chrono::steady_clock::now();
// Pass the image to the SLAM system
SLAM.TrackMonocular(im,tframe);
std::chrono::steady_clock::time_point t2 = std::chrono::steady_clock::now();
double ttrack= std::chrono::duration_cast<std::chrono::duration<double> >(t2 - t1).count();
vTimesTrack[ni]=ttrack;
// Wait to load the next frame
double T = 0.0;
if(ni<nImages-1)
T = vTimestamps[ni+1]-tframe;
else if(ni>0)
T = tframe-vTimestamps[ni-1];
if(ttrack<T)
{
std::this_thread::sleep_for(std::chrono::microseconds(static_cast<size_t>((T- ttrack)*1e6)));
}
// if (SLAM.GetTrackingState() == ORB_SLAM2::Tracking::OK)
// SLAM.SaveMapCurrentFrame(string(argv[4]), ni);
}
SLAM.SaveEntireMap(string(argv[4]));
cv::waitKey(0);
// 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;
return 0;
}
void LoadImages(const string &strPathToSequence, const float &fps, vector<string> &vstrImageFilenames, vector<double> &vTimestamps)
{
ifstream fTimes;
string strPathTimeFile = strPathToSequence + "/times.txt";
fTimes.open(strPathTimeFile.c_str());
float dt = 1. / fps;
float t = 0.;
while(!fTimes.eof())
{
string s;
getline(fTimes,s);
if(!s.empty())
{
vTimestamps.push_back(t);
t += dt;
}
}
string strPrefixLeft = strPathToSequence + "/image_0/";
const int nTimes = vTimestamps.size();
vstrImageFilenames.resize(nTimes);
for(int i=0; i<nTimes; i++)
{
stringstream ss;
ss << setfill('0') << setw(6) << i;
vstrImageFilenames[i] = strPrefixLeft + ss.str() + ".png";
vTimestamps.push_back(t);
t += dt;
}
}