XTDrone/sensing/slam/vslam/ORB_SLAM2/include/System.h

183 lines
6.1 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/>.
*/
#ifndef SYSTEM_H
#define SYSTEM_H
#include<string>
#include<thread>
#include <unistd.h>
#include<opencv2/core/core.hpp>
#include "Tracking.h"
#include "FrameDrawer.h"
#include "MapDrawer.h"
#include "Map.h"
#include "LocalMapping.h"
#include "LoopClosing.h"
#include "KeyFrameDatabase.h"
#include "ORBVocabulary.h"
#include "Viewer.h"
namespace ORB_SLAM2
{
class Viewer;
class FrameDrawer;
class Map;
class Tracking;
class LocalMapping;
class LoopClosing;
class System
{
public:
// Input sensor
enum eSensor{
MONOCULAR=0,
STEREO=1,
RGBD=2
};
public:
// Initialize the SLAM system. It launches the Local Mapping, Loop Closing and Viewer threads.
System(const string &strVocFile, const string &strSettingsFile, const eSensor sensor, const bool bUseViewer = true);
// Proccess the given stereo frame. Images must be synchronized and rectified.
// Input images: RGB (CV_8UC3) or grayscale (CV_8U). RGB is converted to grayscale.
// Returns the camera pose (empty if tracking fails).
cv::Mat TrackStereo(const cv::Mat &imLeft, const cv::Mat &imRight, const double &timestamp);
// Process the given rgbd frame. Depthmap must be registered to the RGB frame.
// Input image: RGB (CV_8UC3) or grayscale (CV_8U). RGB is converted to grayscale.
// Input depthmap: Float (CV_32F).
// Returns the camera pose (empty if tracking fails).
cv::Mat TrackRGBD(const cv::Mat &im, const cv::Mat &depthmap, const double &timestamp);
// Proccess the given monocular frame
// Input images: RGB (CV_8UC3) or grayscale (CV_8U). RGB is converted to grayscale.
// Returns the camera pose (empty if tracking fails).
cv::Mat TrackMonocular(const cv::Mat &im, const double &timestamp);
// This stops local mapping thread (map building) and performs only camera tracking.
void ActivateLocalizationMode();
// This resumes local mapping thread and performs SLAM again.
void DeactivateLocalizationMode();
// Returns true if there have been a big map change (loop closure, global BA)
// since last call to this function
bool MapChanged();
// Reset the system (clear map)
void Reset();
// All threads will be requested to finish.
// It waits until all threads have finished.
// This function must be called before saving the trajectory.
void Shutdown();
// Save camera trajectory in the TUM RGB-D dataset format.
// Only for stereo and RGB-D. This method does not work for monocular.
// Call first Shutdown()
// See format details at: http://vision.in.tum.de/data/datasets/rgbd-dataset
void SaveTrajectoryTUM(const string &filename);
// Save keyframe poses in the TUM RGB-D dataset format.
// This method works for all sensor input.
// Call first Shutdown()
// See format details at: http://vision.in.tum.de/data/datasets/rgbd-dataset
void SaveKeyFrameTrajectoryTUM(const string &filename);
// Save camera trajectory in the KITTI dataset format.
// Only for stereo and RGB-D. This method does not work for monocular.
// Call first Shutdown()
// See format details at: http://www.cvlibs.net/datasets/kitti/eval_odometry.php
void SaveTrajectoryKITTI(const string &filename);
// TODO: Save/Load functions
// SaveMap(const string &filename);
// LoadMap(const string &filename);
// Information from most recent processed frame
// You can call this right after TrackMonocular (or stereo or RGBD)
int GetTrackingState();
std::vector<MapPoint*> GetTrackedMapPoints();
std::vector<cv::KeyPoint> GetTrackedKeyPointsUn();
private:
// Input sensor
eSensor mSensor;
// ORB vocabulary used for place recognition and feature matching.
ORBVocabulary* mpVocabulary;
// KeyFrame database for place recognition (relocalization and loop detection).
KeyFrameDatabase* mpKeyFrameDatabase;
// Map structure that stores the pointers to all KeyFrames and MapPoints.
Map* mpMap;
// Tracker. It receives a frame and computes the associated camera pose.
// It also decides when to insert a new keyframe, create some new MapPoints and
// performs relocalization if tracking fails.
Tracking* mpTracker;
// Local Mapper. It manages the local map and performs local bundle adjustment.
LocalMapping* mpLocalMapper;
// Loop Closer. It searches loops with every new keyframe. If there is a loop it performs
// a pose graph optimization and full bundle adjustment (in a new thread) afterwards.
LoopClosing* mpLoopCloser;
// The viewer draws the map and the current camera pose. It uses Pangolin.
Viewer* mpViewer;
FrameDrawer* mpFrameDrawer;
MapDrawer* mpMapDrawer;
// System threads: Local Mapping, Loop Closing, Viewer.
// The Tracking thread "lives" in the main execution thread that creates the System object.
std::thread* mptLocalMapping;
std::thread* mptLoopClosing;
std::thread* mptViewer;
// Reset flag
std::mutex mMutexReset;
bool mbReset;
// Change mode flags
std::mutex mMutexMode;
bool mbActivateLocalizationMode;
bool mbDeactivateLocalizationMode;
// Tracking state
int mTrackingState;
std::vector<MapPoint*> mTrackedMapPoints;
std::vector<cv::KeyPoint> mTrackedKeyPointsUn;
std::mutex mMutexState;
};
}// namespace ORB_SLAM
#endif // SYSTEM_H