forked from raulmur/ORB_SLAM2
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathCloudMonocular.cpp
103 lines (82 loc) · 3.15 KB
/
CloudMonocular.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
/** * 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 <chrono>
#include <unistd.h>
#include <stdio.h>
#include <stdlib.h>
#include <System.h>
#include <ARCHandler.h>
#include <opencv2/core/core.hpp>
using namespace std;
int main(int argc, char **argv)
{
if (argc != 5)
{
cerr << endl
<< "Usage: ./cloud path_to_vocabulary path_to_settings path_to_sample_image num_of_images" << endl;
return 1;
}
int nImages = atoi(argv[4]);
// 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::MONOCULAR, true);
// Vector for tracking time statistics
vector<float> vTimesTrack;
vTimesTrack.resize(nImages);
// Initialize ARCHandler Stream
std::cout << std::endl
<< "-------" << std::endl;
std::cout << "Initializing ARCHandler Stream ..." << std::endl;
cout << endl
<< "-------" << endl;
cout << "Start processing ..." << endl;
cout << "Images to be processed: " << nImages << endl
<< endl;
// Main loop
cv::Mat im;
// Dummy to replace im. TODO: remove this
im = cv::imread(argv[3], IMREAD_UNCHANGED);
// nImages = 2;
for (int ni = 0; ni < nImages; ni++)
{
std::chrono::steady_clock::time_point t1 = std::chrono::steady_clock::now();
// Pass the image to the SLAM system
SLAM.TrackMonocularRemote(im);
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;
}
// Stop all threads
SLAM.Shutdown();
// Save camera trajectory
// SLAM.SaveKeyFrameTrajectoryTUM("KeyFrameTrajectory.txt");
// Get the stored map points as a tuple of length 3 (x, y, z)
std::vector<ORB_SLAM2::MapPoint *> mapPoints = SLAM.GetMap()->GetAllMapPoints();
std::vector<std::tuple<float, float, float>> mapPointsTuple;
std::ofstream mapPointsFile("mapPoints.txt");
for (ORB_SLAM2::MapPoint *mp : mapPoints)
{
cv::Mat pos = mp->GetWorldPos();
mapPointsFile << pos.at<float>(0) << " " << pos.at<float>(1) << " " << pos.at<float>(2) << std::endl;
}
mapPointsFile.close();
return 0;
}