222 lines
6.0 KiB
C++
222 lines
6.0 KiB
C++
/**
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* This file is part of ORB-SLAM2.
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*
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* Copyright (C) 2014-2016 Raúl Mur-Artal <raulmur at unizar dot es> (University of Zaragoza)
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* For more information see <https://github.com/raulmur/ORB_SLAM2>
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*
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* ORB-SLAM2 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* ORB-SLAM2 is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with ORB-SLAM2. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef TRACKING_H
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#define TRACKING_H
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#include<opencv2/core/core.hpp>
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#include<opencv2/features2d/features2d.hpp>
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#include"Viewer.h"
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#include"FrameDrawer.h"
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#include"Map.h"
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#include"LocalMapping.h"
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#include"LoopClosing.h"
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#include"Frame.h"
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#include "ORBVocabulary.h"
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#include"KeyFrameDatabase.h"
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#include"ORBextractor.h"
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#include "Initializer.h"
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#include "MapDrawer.h"
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#include "System.h"
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#include <mutex>
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namespace ORB_SLAM2
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{
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class Viewer;
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class FrameDrawer;
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class Map;
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class LocalMapping;
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class LoopClosing;
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class System;
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class Tracking
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{
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public:
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Tracking(System* pSys, ORBVocabulary* pVoc, FrameDrawer* pFrameDrawer, MapDrawer* pMapDrawer, Map* pMap,
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KeyFrameDatabase* pKFDB, const string &strSettingPath, const int sensor);
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// Preprocess the input and call Track(). Extract features and performs stereo matching.
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cv::Mat GrabImageStereo(const cv::Mat &imRectLeft,const cv::Mat &imRectRight, const double ×tamp);
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cv::Mat GrabImageRGBD(const cv::Mat &imRGB,const cv::Mat &imD, const double ×tamp);
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cv::Mat GrabImageMonocular(const cv::Mat &im, const double ×tamp);
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void SetLocalMapper(LocalMapping* pLocalMapper);
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void SetLoopClosing(LoopClosing* pLoopClosing);
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void SetViewer(Viewer* pViewer);
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// Load new settings
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// The focal lenght should be similar or scale prediction will fail when projecting points
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// TODO: Modify MapPoint::PredictScale to take into account focal lenght
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void ChangeCalibration(const string &strSettingPath);
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// Use this function if you have deactivated local mapping and you only want to localize the camera.
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void InformOnlyTracking(const bool &flag);
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public:
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// Tracking states
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enum eTrackingState{
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SYSTEM_NOT_READY=-1,
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NO_IMAGES_YET=0,
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NOT_INITIALIZED=1,
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OK=2,
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LOST=3
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};
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eTrackingState mState;
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eTrackingState mLastProcessedState;
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// Input sensor
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int mSensor;
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// Current Frame
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Frame mCurrentFrame;
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cv::Mat mImGray;
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// Initialization Variables (Monocular)
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std::vector<int> mvIniLastMatches;
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std::vector<int> mvIniMatches;
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std::vector<cv::Point2f> mvbPrevMatched;
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std::vector<cv::Point3f> mvIniP3D;
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Frame mInitialFrame;
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// Lists used to recover the full camera trajectory at the end of the execution.
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// Basically we store the reference keyframe for each frame and its relative transformation
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list<cv::Mat> mlRelativeFramePoses;
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list<KeyFrame*> mlpReferences;
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list<double> mlFrameTimes;
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list<bool> mlbLost;
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// True if local mapping is deactivated and we are performing only localization
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bool mbOnlyTracking;
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void Reset();
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protected:
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// Main tracking function. It is independent of the input sensor.
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void Track();
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// Map initialization for stereo and RGB-D
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void StereoInitialization();
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// Map initialization for monocular
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void MonocularInitialization();
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void CreateInitialMapMonocular();
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void CheckReplacedInLastFrame();
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bool TrackReferenceKeyFrame();
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void UpdateLastFrame();
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bool TrackWithMotionModel();
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bool Relocalization();
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void UpdateLocalMap();
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void UpdateLocalPoints();
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void UpdateLocalKeyFrames();
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bool TrackLocalMap();
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void SearchLocalPoints();
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bool NeedNewKeyFrame();
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void CreateNewKeyFrame();
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// In case of performing only localization, this flag is true when there are no matches to
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// points in the map. Still tracking will continue if there are enough matches with temporal points.
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// In that case we are doing visual odometry. The system will try to do relocalization to recover
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// "zero-drift" localization to the map.
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bool mbVO;
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//Other Thread Pointers
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LocalMapping* mpLocalMapper;
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LoopClosing* mpLoopClosing;
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//ORB
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ORBextractor* mpORBextractorLeft, *mpORBextractorRight;
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ORBextractor* mpIniORBextractor;
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//BoW
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ORBVocabulary* mpORBVocabulary;
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KeyFrameDatabase* mpKeyFrameDB;
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// Initalization (only for monocular)
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Initializer* mpInitializer;
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//Local Map
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KeyFrame* mpReferenceKF;
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std::vector<KeyFrame*> mvpLocalKeyFrames;
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std::vector<MapPoint*> mvpLocalMapPoints;
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// System
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System* mpSystem;
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//Drawers
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Viewer* mpViewer;
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FrameDrawer* mpFrameDrawer;
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MapDrawer* mpMapDrawer;
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//Map
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Map* mpMap;
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//Calibration matrix
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cv::Mat mK;
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cv::Mat mDistCoef;
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float mbf;
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//New KeyFrame rules (according to fps)
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int mMinFrames;
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int mMaxFrames;
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// Threshold close/far points
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// Points seen as close by the stereo/RGBD sensor are considered reliable
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// and inserted from just one frame. Far points requiere a match in two keyframes.
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float mThDepth;
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// For RGB-D inputs only. For some datasets (e.g. TUM) the depthmap values are scaled.
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float mDepthMapFactor;
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//Current matches in frame
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int mnMatchesInliers;
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//Last Frame, KeyFrame and Relocalisation Info
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KeyFrame* mpLastKeyFrame;
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Frame mLastFrame;
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unsigned int mnLastKeyFrameId;
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unsigned int mnLastRelocFrameId;
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//Motion Model
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cv::Mat mVelocity;
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//Color order (true RGB, false BGR, ignored if grayscale)
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bool mbRGB;
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list<MapPoint*> mlpTemporalPoints;
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};
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} //namespace ORB_SLAM
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#endif // TRACKING_H
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