/** * This file is part of ORB-SLAM3 * * Copyright (C) 2017-2020 Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M.M. Montiel and Juan D. Tardós, University of Zaragoza. * Copyright (C) 2014-2016 Raúl Mur-Artal, José M.M. Montiel and Juan D. Tardós, University of Zaragoza. * * ORB-SLAM3 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-SLAM3 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-SLAM3. * If not, see . */ #include #include #include #include #include #include #include #include #include #include "ImuTypes.h" #include "Optimizer.h" using namespace std; void LoadImages(const string &strPathLeft, const string &strPathRight, const string &strPathTimes, vector &vstrImageLeft, vector &vstrImageRight, vector &vTimeStamps); void LoadIMU(const string &strImuPath, vector &vTimeStamps, vector &vAcc, vector &vGyro); int main(int argc, char **argv) { if(argc < 5) { cerr << endl << "Usage: ./stereo_inertial_euroc path_to_vocabulary path_to_settings path_to_sequence_folder_1 path_to_times_file_1 (path_to_image_folder_2 path_to_times_file_2 ... path_to_image_folder_N path_to_times_file_N) " << endl; return 1; } const int num_seq = (argc-3)/2; cout << "num_seq = " << num_seq << endl; bool bFileName= (((argc-3) % 2) == 1); string file_name; if (bFileName) { file_name = string(argv[argc-1]); cout << "file name: " << file_name << endl; } // Load all sequences: int seq; vector< vector > vstrImageLeft; vector< vector > vstrImageRight; vector< vector > vTimestampsCam; vector< vector > vAcc, vGyro; vector< vector > vTimestampsImu; vector nImages; vector nImu; vector first_imu(num_seq,0); vstrImageLeft.resize(num_seq); vstrImageRight.resize(num_seq); vTimestampsCam.resize(num_seq); vAcc.resize(num_seq); vGyro.resize(num_seq); vTimestampsImu.resize(num_seq); nImages.resize(num_seq); nImu.resize(num_seq); int tot_images = 0; for (seq = 0; seq> 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); // Vector for tracking time statistics vector vTimesTrack; vTimesTrack.resize(tot_images); cout << endl << "-------" << endl; cout.precision(17); // Create SLAM system. It initializes all system threads and gets ready to process frames. ORB_SLAM3::System SLAM(argv[1],argv[2],ORB_SLAM3::System::IMU_STEREO, true); cv::Mat imLeft, imRight, imLeftRect, imRightRect; for (seq = 0; seq vImuMeas; double t_rect = 0; int num_rect = 0; int proccIm = 0; for(int ni=0; ni >(t_End_Rect - t_Start_Rect).count(); double tframe = vTimestampsCam[seq][ni]; // Load imu measurements from previous frame vImuMeas.clear(); if(ni>0) while(vTimestampsImu[seq][first_imu[seq]]<=vTimestampsCam[seq][ni]) // while(vTimestampsImu[first_imu]<=vTimestampsCam[ni]) { vImuMeas.push_back(ORB_SLAM3::IMU::Point(vAcc[seq][first_imu[seq]].x,vAcc[seq][first_imu[seq]].y,vAcc[seq][first_imu[seq]].z, vGyro[seq][first_imu[seq]].x,vGyro[seq][first_imu[seq]].y,vGyro[seq][first_imu[seq]].z, vTimestampsImu[seq][first_imu[seq]])); first_imu[seq]++; } #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,vImuMeas); #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 >(t2 - t1).count(); vTimesTrack[ni]=ttrack; // Wait to load the next frame double T=0; if(ni0) T = tframe-vTimestampsCam[seq][ni-1]; if(ttrack &vstrImageLeft, vector &vstrImageRight, vector &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); } } } void LoadIMU(const string &strImuPath, vector &vTimeStamps, vector &vAcc, vector &vGyro) { ifstream fImu; fImu.open(strImuPath.c_str()); vTimeStamps.reserve(5000); vAcc.reserve(5000); vGyro.reserve(5000); while(!fImu.eof()) { string s; getline(fImu,s); if (s[0] == '#') continue; if(!s.empty()) { string item; size_t pos = 0; double data[7]; int count = 0; while ((pos = s.find(',')) != string::npos) { item = s.substr(0, pos); data[count++] = stod(item); s.erase(0, pos + 1); } item = s.substr(0, pos); data[6] = stod(item); vTimeStamps.push_back(data[0]/1e9); vAcc.push_back(cv::Point3f(data[4],data[5],data[6])); vGyro.push_back(cv::Point3f(data[1],data[2],data[3])); } } }