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/**
* 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 CONVERTER_H
#define CONVERTER_H
#include<opencv2/core/core.hpp>
#include<Eigen/Dense>
#include"Thirdparty/g2o/g2o/types/types_six_dof_expmap.h"
#include"Thirdparty/g2o/g2o/types/types_seven_dof_expmap.h"
namespace ORB_SLAM2
{
class Converter
{
public:
static std::vector<cv::Mat> toDescriptorVector(const cv::Mat &Descriptors);
static g2o::SE3Quat toSE3Quat(const cv::Mat &cvT);
static g2o::SE3Quat toSE3Quat(const g2o::Sim3 &gSim3);
static cv::Mat toCvMat(const g2o::SE3Quat &SE3);
static cv::Mat toCvMat(const g2o::Sim3 &Sim3);
static cv::Mat toCvMat(const Eigen::Matrix<double,4,4> &m);
static cv::Mat toCvMat(const Eigen::Matrix3d &m);
static cv::Mat toCvMat(const Eigen::Matrix<double,3,1> &m);
static cv::Mat toCvSE3(const Eigen::Matrix<double,3,3> &R, const Eigen::Matrix<double,3,1> &t);
static Eigen::Matrix<double,3,1> toVector3d(const cv::Mat &cvVector);
static Eigen::Matrix<double,3,1> toVector3d(const cv::Point3f &cvPoint);
static Eigen::Matrix<double,3,3> toMatrix3d(const cv::Mat &cvMat3);
static std::vector<float> toQuaternion(const cv::Mat &M);
};
}// namespace ORB_SLAM
#endif // CONVERTER_H

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/**
* 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 FRAME_H
#define FRAME_H
#include<vector>
#include "MapPoint.h"
#include "Thirdparty/DBoW2/DBoW2/BowVector.h"
#include "Thirdparty/DBoW2/DBoW2/FeatureVector.h"
#include "ORBVocabulary.h"
#include "KeyFrame.h"
#include "ORBextractor.h"
#include <opencv2/opencv.hpp>
namespace ORB_SLAM2
{
#define FRAME_GRID_ROWS 48
#define FRAME_GRID_COLS 64
class MapPoint;
class KeyFrame;
class Frame
{
public:
Frame();
// Copy constructor.
Frame(const Frame &frame);
// Constructor for stereo cameras.
Frame(const cv::Mat &imLeft, const cv::Mat &imRight, const double &timeStamp, ORBextractor* extractorLeft, ORBextractor* extractorRight, ORBVocabulary* voc, cv::Mat &K, cv::Mat &distCoef, const float &bf, const float &thDepth);
// Constructor for RGB-D cameras.
Frame(const cv::Mat &imGray, const cv::Mat &imDepth, const double &timeStamp, ORBextractor* extractor,ORBVocabulary* voc, cv::Mat &K, cv::Mat &distCoef, const float &bf, const float &thDepth);
// Constructor for Monocular cameras.
Frame(const cv::Mat &imGray, const double &timeStamp, ORBextractor* extractor,ORBVocabulary* voc, cv::Mat &K, cv::Mat &distCoef, const float &bf, const float &thDepth);
// Extract ORB on the image. 0 for left image and 1 for right image.
void ExtractORB(int flag, const cv::Mat &im);
// Compute Bag of Words representation.
void ComputeBoW();
// Set the camera pose.
void SetPose(cv::Mat Tcw);
// Computes rotation, translation and camera center matrices from the camera pose.
void UpdatePoseMatrices();
// Returns the camera center.
inline cv::Mat GetCameraCenter(){
return mOw.clone();
}
// Returns inverse of rotation
inline cv::Mat GetRotationInverse(){
return mRwc.clone();
}
// Check if a MapPoint is in the frustum of the camera
// and fill variables of the MapPoint to be used by the tracking
bool isInFrustum(MapPoint* pMP, float viewingCosLimit);
// Compute the cell of a keypoint (return false if outside the grid)
bool PosInGrid(const cv::KeyPoint &kp, int &posX, int &posY);
vector<size_t> GetFeaturesInArea(const float &x, const float &y, const float &r, const int minLevel=-1, const int maxLevel=-1) const;
// Search a match for each keypoint in the left image to a keypoint in the right image.
// If there is a match, depth is computed and the right coordinate associated to the left keypoint is stored.
void ComputeStereoMatches();
// Associate a "right" coordinate to a keypoint if there is valid depth in the depthmap.
void ComputeStereoFromRGBD(const cv::Mat &imDepth);
// Backprojects a keypoint (if stereo/depth info available) into 3D world coordinates.
cv::Mat UnprojectStereo(const int &i);
public:
// Vocabulary used for relocalization.
ORBVocabulary* mpORBvocabulary;
// Feature extractor. The right is used only in the stereo case.
ORBextractor* mpORBextractorLeft, *mpORBextractorRight;
// Frame timestamp.
double mTimeStamp;
// Calibration matrix and OpenCV distortion parameters.
cv::Mat mK;
static float fx;
static float fy;
static float cx;
static float cy;
static float invfx;
static float invfy;
cv::Mat mDistCoef;
// Stereo baseline multiplied by fx.
float mbf;
// Stereo baseline in meters.
float mb;
// Threshold close/far points. Close points are inserted from 1 view.
// Far points are inserted as in the monocular case from 2 views.
float mThDepth;
// Number of KeyPoints.
int N;
// Vector of keypoints (original for visualization) and undistorted (actually used by the system).
// In the stereo case, mvKeysUn is redundant as images must be rectified.
// In the RGB-D case, RGB images can be distorted.
std::vector<cv::KeyPoint> mvKeys, mvKeysRight;
std::vector<cv::KeyPoint> mvKeysUn;
// Corresponding stereo coordinate and depth for each keypoint.
// "Monocular" keypoints have a negative value.
std::vector<float> mvuRight;
std::vector<float> mvDepth;
// Bag of Words Vector structures.
DBoW2::BowVector mBowVec;
DBoW2::FeatureVector mFeatVec;
// ORB descriptor, each row associated to a keypoint.
cv::Mat mDescriptors, mDescriptorsRight;
// MapPoints associated to keypoints, NULL pointer if no association.
std::vector<MapPoint*> mvpMapPoints;
// Flag to identify outlier associations.
std::vector<bool> mvbOutlier;
// Keypoints are assigned to cells in a grid to reduce matching complexity when projecting MapPoints.
static float mfGridElementWidthInv;
static float mfGridElementHeightInv;
std::vector<std::size_t> mGrid[FRAME_GRID_COLS][FRAME_GRID_ROWS];
// Camera pose.
cv::Mat mTcw;
// Current and Next Frame id.
static long unsigned int nNextId;
long unsigned int mnId;
// Reference Keyframe.
KeyFrame* mpReferenceKF;
// Scale pyramid info.
int mnScaleLevels;
float mfScaleFactor;
float mfLogScaleFactor;
vector<float> mvScaleFactors;
vector<float> mvInvScaleFactors;
vector<float> mvLevelSigma2;
vector<float> mvInvLevelSigma2;
// Undistorted Image Bounds (computed once).
static float mnMinX;
static float mnMaxX;
static float mnMinY;
static float mnMaxY;
static bool mbInitialComputations;
private:
// Undistort keypoints given OpenCV distortion parameters.
// Only for the RGB-D case. Stereo must be already rectified!
// (called in the constructor).
void UndistortKeyPoints();
// Computes image bounds for the undistorted image (called in the constructor).
void ComputeImageBounds(const cv::Mat &imLeft);
// Assign keypoints to the grid for speed up feature matching (called in the constructor).
void AssignFeaturesToGrid();
// Rotation, translation and camera center
cv::Mat mRcw;
cv::Mat mtcw;
cv::Mat mRwc;
cv::Mat mOw; //==mtwc
};
}// namespace ORB_SLAM
#endif // FRAME_H

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/**
* 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 FRAMEDRAWER_H
#define FRAMEDRAWER_H
#include "Tracking.h"
#include "MapPoint.h"
#include "Map.h"
#include<opencv2/core/core.hpp>
#include<opencv2/features2d/features2d.hpp>
#include<mutex>
namespace ORB_SLAM2
{
class Tracking;
class Viewer;
class FrameDrawer
{
public:
FrameDrawer(Map* pMap);
// Update info from the last processed frame.
void Update(Tracking *pTracker);
// Draw last processed frame.
cv::Mat DrawFrame();
protected:
void DrawTextInfo(cv::Mat &im, int nState, cv::Mat &imText);
// Info of the frame to be drawn
cv::Mat mIm;
int N;
vector<cv::KeyPoint> mvCurrentKeys;
vector<bool> mvbMap, mvbVO;
bool mbOnlyTracking;
int mnTracked, mnTrackedVO;
vector<cv::KeyPoint> mvIniKeys;
vector<int> mvIniMatches;
int mState;
Map* mpMap;
std::mutex mMutex;
};
} //namespace ORB_SLAM
#endif // FRAMEDRAWER_H

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/**
* 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 INITIALIZER_H
#define INITIALIZER_H
#include<opencv2/opencv.hpp>
#include "Frame.h"
namespace ORB_SLAM2
{
// THIS IS THE INITIALIZER FOR MONOCULAR SLAM. NOT USED IN THE STEREO OR RGBD CASE.
class Initializer
{
typedef pair<int,int> Match;
public:
// Fix the reference frame
Initializer(const Frame &ReferenceFrame, float sigma = 1.0, int iterations = 200);
// Computes in parallel a fundamental matrix and a homography
// Selects a model and tries to recover the motion and the structure from motion
bool Initialize(const Frame &CurrentFrame, const vector<int> &vMatches12,
cv::Mat &R21, cv::Mat &t21, vector<cv::Point3f> &vP3D, vector<bool> &vbTriangulated);
private:
void FindHomography(vector<bool> &vbMatchesInliers, float &score, cv::Mat &H21);
void FindFundamental(vector<bool> &vbInliers, float &score, cv::Mat &F21);
cv::Mat ComputeH21(const vector<cv::Point2f> &vP1, const vector<cv::Point2f> &vP2);
cv::Mat ComputeF21(const vector<cv::Point2f> &vP1, const vector<cv::Point2f> &vP2);
float CheckHomography(const cv::Mat &H21, const cv::Mat &H12, vector<bool> &vbMatchesInliers, float sigma);
float CheckFundamental(const cv::Mat &F21, vector<bool> &vbMatchesInliers, float sigma);
bool ReconstructF(vector<bool> &vbMatchesInliers, cv::Mat &F21, cv::Mat &K,
cv::Mat &R21, cv::Mat &t21, vector<cv::Point3f> &vP3D, vector<bool> &vbTriangulated, float minParallax, int minTriangulated);
bool ReconstructH(vector<bool> &vbMatchesInliers, cv::Mat &H21, cv::Mat &K,
cv::Mat &R21, cv::Mat &t21, vector<cv::Point3f> &vP3D, vector<bool> &vbTriangulated, float minParallax, int minTriangulated);
void Triangulate(const cv::KeyPoint &kp1, const cv::KeyPoint &kp2, const cv::Mat &P1, const cv::Mat &P2, cv::Mat &x3D);
void Normalize(const vector<cv::KeyPoint> &vKeys, vector<cv::Point2f> &vNormalizedPoints, cv::Mat &T);
int CheckRT(const cv::Mat &R, const cv::Mat &t, const vector<cv::KeyPoint> &vKeys1, const vector<cv::KeyPoint> &vKeys2,
const vector<Match> &vMatches12, vector<bool> &vbInliers,
const cv::Mat &K, vector<cv::Point3f> &vP3D, float th2, vector<bool> &vbGood, float &parallax);
void DecomposeE(const cv::Mat &E, cv::Mat &R1, cv::Mat &R2, cv::Mat &t);
// Keypoints from Reference Frame (Frame 1)
vector<cv::KeyPoint> mvKeys1;
// Keypoints from Current Frame (Frame 2)
vector<cv::KeyPoint> mvKeys2;
// Current Matches from Reference to Current
vector<Match> mvMatches12;
vector<bool> mvbMatched1;
// Calibration
cv::Mat mK;
// Standard Deviation and Variance
float mSigma, mSigma2;
// Ransac max iterations
int mMaxIterations;
// Ransac sets
vector<vector<size_t> > mvSets;
};
} //namespace ORB_SLAM
#endif // INITIALIZER_H

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/**
* 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 KEYFRAME_H
#define KEYFRAME_H
#include "MapPoint.h"
#include "Thirdparty/DBoW2/DBoW2/BowVector.h"
#include "Thirdparty/DBoW2/DBoW2/FeatureVector.h"
#include "ORBVocabulary.h"
#include "ORBextractor.h"
#include "Frame.h"
#include "KeyFrameDatabase.h"
#include <mutex>
namespace ORB_SLAM2
{
class Map;
class MapPoint;
class Frame;
class KeyFrameDatabase;
class KeyFrame
{
public:
KeyFrame(Frame &F, Map* pMap, KeyFrameDatabase* pKFDB);
// Pose functions
void SetPose(const cv::Mat &Tcw);
cv::Mat GetPose();
cv::Mat GetPoseInverse();
cv::Mat GetCameraCenter();
cv::Mat GetStereoCenter();
cv::Mat GetRotation();
cv::Mat GetTranslation();
// Bag of Words Representation
void ComputeBoW();
// Covisibility graph functions
void AddConnection(KeyFrame* pKF, const int &weight);
void EraseConnection(KeyFrame* pKF);
void UpdateConnections();
void UpdateBestCovisibles();
std::set<KeyFrame *> GetConnectedKeyFrames();
std::vector<KeyFrame* > GetVectorCovisibleKeyFrames();
std::vector<KeyFrame*> GetBestCovisibilityKeyFrames(const int &N);
std::vector<KeyFrame*> GetCovisiblesByWeight(const int &w);
int GetWeight(KeyFrame* pKF);
// Spanning tree functions
void AddChild(KeyFrame* pKF);
void EraseChild(KeyFrame* pKF);
void ChangeParent(KeyFrame* pKF);
std::set<KeyFrame*> GetChilds();
KeyFrame* GetParent();
bool hasChild(KeyFrame* pKF);
// Loop Edges
void AddLoopEdge(KeyFrame* pKF);
std::set<KeyFrame*> GetLoopEdges();
// MapPoint observation functions
void AddMapPoint(MapPoint* pMP, const size_t &idx);
void EraseMapPointMatch(const size_t &idx);
void EraseMapPointMatch(MapPoint* pMP);
void ReplaceMapPointMatch(const size_t &idx, MapPoint* pMP);
std::set<MapPoint*> GetMapPoints();
std::vector<MapPoint*> GetMapPointMatches();
int TrackedMapPoints(const int &minObs);
MapPoint* GetMapPoint(const size_t &idx);
// KeyPoint functions
std::vector<size_t> GetFeaturesInArea(const float &x, const float &y, const float &r) const;
cv::Mat UnprojectStereo(int i);
// Image
bool IsInImage(const float &x, const float &y) const;
// Enable/Disable bad flag changes
void SetNotErase();
void SetErase();
// Set/check bad flag
void SetBadFlag();
bool isBad();
// Compute Scene Depth (q=2 median). Used in monocular.
float ComputeSceneMedianDepth(const int q);
static bool weightComp( int a, int b){
return a>b;
}
static bool lId(KeyFrame* pKF1, KeyFrame* pKF2){
return pKF1->mnId<pKF2->mnId;
}
// The following variables are accesed from only 1 thread or never change (no mutex needed).
public:
static long unsigned int nNextId;
long unsigned int mnId;
const long unsigned int mnFrameId;
const double mTimeStamp;
// Grid (to speed up feature matching)
const int mnGridCols;
const int mnGridRows;
const float mfGridElementWidthInv;
const float mfGridElementHeightInv;
// Variables used by the tracking
long unsigned int mnTrackReferenceForFrame;
long unsigned int mnFuseTargetForKF;
// Variables used by the local mapping
long unsigned int mnBALocalForKF;
long unsigned int mnBAFixedForKF;
// Variables used by the keyframe database
long unsigned int mnLoopQuery;
int mnLoopWords;
float mLoopScore;
long unsigned int mnRelocQuery;
int mnRelocWords;
float mRelocScore;
// Variables used by loop closing
cv::Mat mTcwGBA;
cv::Mat mTcwBefGBA;
long unsigned int mnBAGlobalForKF;
// Calibration parameters
const float fx, fy, cx, cy, invfx, invfy, mbf, mb, mThDepth;
// Number of KeyPoints
const int N;
// KeyPoints, stereo coordinate and descriptors (all associated by an index)
const std::vector<cv::KeyPoint> mvKeys;
const std::vector<cv::KeyPoint> mvKeysUn;
const std::vector<float> mvuRight; // negative value for monocular points
const std::vector<float> mvDepth; // negative value for monocular points
const cv::Mat mDescriptors;
//BoW
DBoW2::BowVector mBowVec;
DBoW2::FeatureVector mFeatVec;
// Pose relative to parent (this is computed when bad flag is activated)
cv::Mat mTcp;
// Scale
const int mnScaleLevels;
const float mfScaleFactor;
const float mfLogScaleFactor;
const std::vector<float> mvScaleFactors;
const std::vector<float> mvLevelSigma2;
const std::vector<float> mvInvLevelSigma2;
// Image bounds and calibration
const int mnMinX;
const int mnMinY;
const int mnMaxX;
const int mnMaxY;
const cv::Mat mK;
// The following variables need to be accessed trough a mutex to be thread safe.
protected:
// SE3 Pose and camera center
cv::Mat Tcw;
cv::Mat Twc;
cv::Mat Ow;
cv::Mat Cw; // Stereo middel point. Only for visualization
// MapPoints associated to keypoints
std::vector<MapPoint*> mvpMapPoints;
// BoW
KeyFrameDatabase* mpKeyFrameDB;
ORBVocabulary* mpORBvocabulary;
// Grid over the image to speed up feature matching
std::vector< std::vector <std::vector<size_t> > > mGrid;
std::map<KeyFrame*,int> mConnectedKeyFrameWeights;
std::vector<KeyFrame*> mvpOrderedConnectedKeyFrames;
std::vector<int> mvOrderedWeights;
// Spanning Tree and Loop Edges
bool mbFirstConnection;
KeyFrame* mpParent;
std::set<KeyFrame*> mspChildrens;
std::set<KeyFrame*> mspLoopEdges;
// Bad flags
bool mbNotErase;
bool mbToBeErased;
bool mbBad;
float mHalfBaseline; // Only for visualization
Map* mpMap;
std::mutex mMutexPose;
std::mutex mMutexConnections;
std::mutex mMutexFeatures;
};
} //namespace ORB_SLAM
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/**
* 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 KEYFRAMEDATABASE_H
#define KEYFRAMEDATABASE_H
#include <vector>
#include <list>
#include <set>
#include "KeyFrame.h"
#include "Frame.h"
#include "ORBVocabulary.h"
#include<mutex>
namespace ORB_SLAM2
{
class KeyFrame;
class Frame;
class KeyFrameDatabase
{
public:
KeyFrameDatabase(const ORBVocabulary &voc);
void add(KeyFrame* pKF);
void erase(KeyFrame* pKF);
void clear();
// Loop Detection
std::vector<KeyFrame *> DetectLoopCandidates(KeyFrame* pKF, float minScore);
// Relocalization
std::vector<KeyFrame*> DetectRelocalizationCandidates(Frame* F);
protected:
// Associated vocabulary
const ORBVocabulary* mpVoc;
// Inverted file
std::vector<list<KeyFrame*> > mvInvertedFile;
// Mutex
std::mutex mMutex;
};
} //namespace ORB_SLAM
#endif

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/**
* 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 LOCALMAPPING_H
#define LOCALMAPPING_H
#include "KeyFrame.h"
#include "Map.h"
#include "LoopClosing.h"
#include "Tracking.h"
#include "KeyFrameDatabase.h"
#include <mutex>
namespace ORB_SLAM2
{
class Tracking;
class LoopClosing;
class Map;
class LocalMapping
{
public:
LocalMapping(Map* pMap, const float bMonocular);
void SetLoopCloser(LoopClosing* pLoopCloser);
void SetTracker(Tracking* pTracker);
// Main function
void Run();
void InsertKeyFrame(KeyFrame* pKF);
// Thread Synch
void RequestStop();
void RequestReset();
bool Stop();
void Release();
bool isStopped();
bool stopRequested();
bool AcceptKeyFrames();
void SetAcceptKeyFrames(bool flag);
bool SetNotStop(bool flag);
void InterruptBA();
void RequestFinish();
bool isFinished();
int KeyframesInQueue(){
unique_lock<std::mutex> lock(mMutexNewKFs);
return mlNewKeyFrames.size();
}
protected:
bool CheckNewKeyFrames();
void ProcessNewKeyFrame();
void CreateNewMapPoints();
void MapPointCulling();
void SearchInNeighbors();
void KeyFrameCulling();
cv::Mat ComputeF12(KeyFrame* &pKF1, KeyFrame* &pKF2);
cv::Mat SkewSymmetricMatrix(const cv::Mat &v);
bool mbMonocular;
void ResetIfRequested();
bool mbResetRequested;
std::mutex mMutexReset;
bool CheckFinish();
void SetFinish();
bool mbFinishRequested;
bool mbFinished;
std::mutex mMutexFinish;
Map* mpMap;
LoopClosing* mpLoopCloser;
Tracking* mpTracker;
std::list<KeyFrame*> mlNewKeyFrames;
KeyFrame* mpCurrentKeyFrame;
std::list<MapPoint*> mlpRecentAddedMapPoints;
std::mutex mMutexNewKFs;
bool mbAbortBA;
bool mbStopped;
bool mbStopRequested;
bool mbNotStop;
std::mutex mMutexStop;
bool mbAcceptKeyFrames;
std::mutex mMutexAccept;
};
} //namespace ORB_SLAM
#endif // LOCALMAPPING_H

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/**
* 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 LOOPCLOSING_H
#define LOOPCLOSING_H
#include "KeyFrame.h"
#include "LocalMapping.h"
#include "Map.h"
#include "ORBVocabulary.h"
#include "Tracking.h"
#include "KeyFrameDatabase.h"
#include <thread>
#include <mutex>
#include "Thirdparty/g2o/g2o/types/types_seven_dof_expmap.h"
namespace ORB_SLAM2
{
class Tracking;
class LocalMapping;
class KeyFrameDatabase;
class LoopClosing
{
public:
typedef pair<set<KeyFrame*>,int> ConsistentGroup;
typedef map<KeyFrame*,g2o::Sim3,std::less<KeyFrame*>,
Eigen::aligned_allocator<std::pair<const KeyFrame*, g2o::Sim3> > > KeyFrameAndPose;
public:
LoopClosing(Map* pMap, KeyFrameDatabase* pDB, ORBVocabulary* pVoc,const bool bFixScale);
void SetTracker(Tracking* pTracker);
void SetLocalMapper(LocalMapping* pLocalMapper);
// Main function
void Run();
void InsertKeyFrame(KeyFrame *pKF);
void RequestReset();
// This function will run in a separate thread
void RunGlobalBundleAdjustment(unsigned long nLoopKF);
bool isRunningGBA(){
unique_lock<std::mutex> lock(mMutexGBA);
return mbRunningGBA;
}
bool isFinishedGBA(){
unique_lock<std::mutex> lock(mMutexGBA);
return mbFinishedGBA;
}
void RequestFinish();
bool isFinished();
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
protected:
bool CheckNewKeyFrames();
bool DetectLoop();
bool ComputeSim3();
void SearchAndFuse(const KeyFrameAndPose &CorrectedPosesMap);
void CorrectLoop();
void ResetIfRequested();
bool mbResetRequested;
std::mutex mMutexReset;
bool CheckFinish();
void SetFinish();
bool mbFinishRequested;
bool mbFinished;
std::mutex mMutexFinish;
Map* mpMap;
Tracking* mpTracker;
KeyFrameDatabase* mpKeyFrameDB;
ORBVocabulary* mpORBVocabulary;
LocalMapping *mpLocalMapper;
std::list<KeyFrame*> mlpLoopKeyFrameQueue;
std::mutex mMutexLoopQueue;
// Loop detector parameters
float mnCovisibilityConsistencyTh;
// Loop detector variables
KeyFrame* mpCurrentKF;
KeyFrame* mpMatchedKF;
std::vector<ConsistentGroup> mvConsistentGroups;
std::vector<KeyFrame*> mvpEnoughConsistentCandidates;
std::vector<KeyFrame*> mvpCurrentConnectedKFs;
std::vector<MapPoint*> mvpCurrentMatchedPoints;
std::vector<MapPoint*> mvpLoopMapPoints;
cv::Mat mScw;
g2o::Sim3 mg2oScw;
long unsigned int mLastLoopKFid;
// Variables related to Global Bundle Adjustment
bool mbRunningGBA;
bool mbFinishedGBA;
bool mbStopGBA;
std::mutex mMutexGBA;
std::thread* mpThreadGBA;
// Fix scale in the stereo/RGB-D case
bool mbFixScale;
bool mnFullBAIdx;
};
} //namespace ORB_SLAM
#endif // LOOPCLOSING_H

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/**
* 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 MAP_H
#define MAP_H
#include "MapPoint.h"
#include "KeyFrame.h"
#include <set>
#include <mutex>
namespace ORB_SLAM2
{
class MapPoint;
class KeyFrame;
class Map
{
public:
Map();
void AddKeyFrame(KeyFrame* pKF);
void AddMapPoint(MapPoint* pMP);
void EraseMapPoint(MapPoint* pMP);
void EraseKeyFrame(KeyFrame* pKF);
void SetReferenceMapPoints(const std::vector<MapPoint*> &vpMPs);
void InformNewBigChange();
int GetLastBigChangeIdx();
std::vector<KeyFrame*> GetAllKeyFrames();
std::vector<MapPoint*> GetAllMapPoints();
std::vector<MapPoint*> GetReferenceMapPoints();
long unsigned int MapPointsInMap();
long unsigned KeyFramesInMap();
long unsigned int GetMaxKFid();
void clear();
vector<KeyFrame*> mvpKeyFrameOrigins;
std::mutex mMutexMapUpdate;
// This avoid that two points are created simultaneously in separate threads (id conflict)
std::mutex mMutexPointCreation;
protected:
std::set<MapPoint*> mspMapPoints;
std::set<KeyFrame*> mspKeyFrames;
std::vector<MapPoint*> mvpReferenceMapPoints;
long unsigned int mnMaxKFid;
// Index related to a big change in the map (loop closure, global BA)
int mnBigChangeIdx;
std::mutex mMutexMap;
};
} //namespace ORB_SLAM
#endif // MAP_H

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/**
* 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 MAPDRAWER_H
#define MAPDRAWER_H
#include"Map.h"
#include"MapPoint.h"
#include"KeyFrame.h"
#include<pangolin/pangolin.h>
#include<mutex>
namespace ORB_SLAM2
{
class MapDrawer
{
public:
MapDrawer(Map* pMap, const string &strSettingPath);
Map* mpMap;
void DrawMapPoints();
void DrawKeyFrames(const bool bDrawKF, const bool bDrawGraph);
void DrawCurrentCamera(pangolin::OpenGlMatrix &Twc);
void SetCurrentCameraPose(const cv::Mat &Tcw);
void SetReferenceKeyFrame(KeyFrame *pKF);
void GetCurrentOpenGLCameraMatrix(pangolin::OpenGlMatrix &M);
private:
float mKeyFrameSize;
float mKeyFrameLineWidth;
float mGraphLineWidth;
float mPointSize;
float mCameraSize;
float mCameraLineWidth;
cv::Mat mCameraPose;
std::mutex mMutexCamera;
};
} //namespace ORB_SLAM
#endif // MAPDRAWER_H

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/**
* 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 MAPPOINT_H
#define MAPPOINT_H
#include"KeyFrame.h"
#include"Frame.h"
#include"Map.h"
#include<opencv2/core/core.hpp>
#include<mutex>
namespace ORB_SLAM2
{
class KeyFrame;
class Map;
class Frame;
class MapPoint
{
public:
MapPoint(const cv::Mat &Pos, KeyFrame* pRefKF, Map* pMap);
MapPoint(const cv::Mat &Pos, Map* pMap, Frame* pFrame, const int &idxF);
void SetWorldPos(const cv::Mat &Pos);
cv::Mat GetWorldPos();
cv::Mat GetNormal();
KeyFrame* GetReferenceKeyFrame();
std::map<KeyFrame*,size_t> GetObservations();
int Observations();
void AddObservation(KeyFrame* pKF,size_t idx);
void EraseObservation(KeyFrame* pKF);
int GetIndexInKeyFrame(KeyFrame* pKF);
bool IsInKeyFrame(KeyFrame* pKF);
void SetBadFlag();
bool isBad();
void Replace(MapPoint* pMP);
MapPoint* GetReplaced();
void IncreaseVisible(int n=1);
void IncreaseFound(int n=1);
float GetFoundRatio();
inline int GetFound(){
return mnFound;
}
void ComputeDistinctiveDescriptors();
cv::Mat GetDescriptor();
void UpdateNormalAndDepth();
float GetMinDistanceInvariance();
float GetMaxDistanceInvariance();
int PredictScale(const float &currentDist, KeyFrame*pKF);
int PredictScale(const float &currentDist, Frame* pF);
public:
long unsigned int mnId;
static long unsigned int nNextId;
long int mnFirstKFid;
long int mnFirstFrame;
int nObs;
// Variables used by the tracking
float mTrackProjX;
float mTrackProjY;
float mTrackProjXR;
bool mbTrackInView;
int mnTrackScaleLevel;
float mTrackViewCos;
long unsigned int mnTrackReferenceForFrame;
long unsigned int mnLastFrameSeen;
// Variables used by local mapping
long unsigned int mnBALocalForKF;
long unsigned int mnFuseCandidateForKF;
// Variables used by loop closing
long unsigned int mnLoopPointForKF;
long unsigned int mnCorrectedByKF;
long unsigned int mnCorrectedReference;
cv::Mat mPosGBA;
long unsigned int mnBAGlobalForKF;
static std::mutex mGlobalMutex;
protected:
// Position in absolute coordinates
cv::Mat mWorldPos;
// Keyframes observing the point and associated index in keyframe
std::map<KeyFrame*,size_t> mObservations;
// Mean viewing direction
cv::Mat mNormalVector;
// Best descriptor to fast matching
cv::Mat mDescriptor;
// Reference KeyFrame
KeyFrame* mpRefKF;
// Tracking counters
int mnVisible;
int mnFound;
// Bad flag (we do not currently erase MapPoint from memory)
bool mbBad;
MapPoint* mpReplaced;
// Scale invariance distances
float mfMinDistance;
float mfMaxDistance;
Map* mpMap;
std::mutex mMutexPos;
std::mutex mMutexFeatures;
};
} //namespace ORB_SLAM
#endif // MAPPOINT_H

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/**
* 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 ORBVOCABULARY_H
#define ORBVOCABULARY_H
#include"Thirdparty/DBoW2/DBoW2/FORB.h"
#include"Thirdparty/DBoW2/DBoW2/TemplatedVocabulary.h"
namespace ORB_SLAM2
{
typedef DBoW2::TemplatedVocabulary<DBoW2::FORB::TDescriptor, DBoW2::FORB>
ORBVocabulary;
} //namespace ORB_SLAM
#endif // ORBVOCABULARY_H

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/**
* 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 ORBEXTRACTOR_H
#define ORBEXTRACTOR_H
#include <vector>
#include <list>
#include <opencv/cv.h>
namespace ORB_SLAM2
{
class ExtractorNode
{
public:
ExtractorNode():bNoMore(false){}
void DivideNode(ExtractorNode &n1, ExtractorNode &n2, ExtractorNode &n3, ExtractorNode &n4);
std::vector<cv::KeyPoint> vKeys;
cv::Point2i UL, UR, BL, BR;
std::list<ExtractorNode>::iterator lit;
bool bNoMore;
};
class ORBextractor
{
public:
enum {HARRIS_SCORE=0, FAST_SCORE=1 };
ORBextractor(int nfeatures, float scaleFactor, int nlevels,
int iniThFAST, int minThFAST);
~ORBextractor(){}
// Compute the ORB features and descriptors on an image.
// ORB are dispersed on the image using an octree.
// Mask is ignored in the current implementation.
void operator()( cv::InputArray image, cv::InputArray mask,
std::vector<cv::KeyPoint>& keypoints,
cv::OutputArray descriptors);
int inline GetLevels(){
return nlevels;}
float inline GetScaleFactor(){
return scaleFactor;}
std::vector<float> inline GetScaleFactors(){
return mvScaleFactor;
}
std::vector<float> inline GetInverseScaleFactors(){
return mvInvScaleFactor;
}
std::vector<float> inline GetScaleSigmaSquares(){
return mvLevelSigma2;
}
std::vector<float> inline GetInverseScaleSigmaSquares(){
return mvInvLevelSigma2;
}
std::vector<cv::Mat> mvImagePyramid;
protected:
void ComputePyramid(cv::Mat image);
void ComputeKeyPointsOctTree(std::vector<std::vector<cv::KeyPoint> >& allKeypoints);
std::vector<cv::KeyPoint> DistributeOctTree(const std::vector<cv::KeyPoint>& vToDistributeKeys, const int &minX,
const int &maxX, const int &minY, const int &maxY, const int &nFeatures, const int &level);
void ComputeKeyPointsOld(std::vector<std::vector<cv::KeyPoint> >& allKeypoints);
std::vector<cv::Point> pattern;
int nfeatures;
double scaleFactor;
int nlevels;
int iniThFAST;
int minThFAST;
std::vector<int> mnFeaturesPerLevel;
std::vector<int> umax;
std::vector<float> mvScaleFactor;
std::vector<float> mvInvScaleFactor;
std::vector<float> mvLevelSigma2;
std::vector<float> mvInvLevelSigma2;
};
} //namespace ORB_SLAM
#endif

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/**
* 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 ORBMATCHER_H
#define ORBMATCHER_H
#include<vector>
#include<opencv2/core/core.hpp>
#include<opencv2/features2d/features2d.hpp>
#include"MapPoint.h"
#include"KeyFrame.h"
#include"Frame.h"
namespace ORB_SLAM2
{
class ORBmatcher
{
public:
ORBmatcher(float nnratio=0.6, bool checkOri=true);
// Computes the Hamming distance between two ORB descriptors
static int DescriptorDistance(const cv::Mat &a, const cv::Mat &b);
// Search matches between Frame keypoints and projected MapPoints. Returns number of matches
// Used to track the local map (Tracking)
int SearchByProjection(Frame &F, const std::vector<MapPoint*> &vpMapPoints, const float th=3);
// Project MapPoints tracked in last frame into the current frame and search matches.
// Used to track from previous frame (Tracking)
int SearchByProjection(Frame &CurrentFrame, const Frame &LastFrame, const float th, const bool bMono);
// Project MapPoints seen in KeyFrame into the Frame and search matches.
// Used in relocalisation (Tracking)
int SearchByProjection(Frame &CurrentFrame, KeyFrame* pKF, const std::set<MapPoint*> &sAlreadyFound, const float th, const int ORBdist);
// Project MapPoints using a Similarity Transformation and search matches.
// Used in loop detection (Loop Closing)
int SearchByProjection(KeyFrame* pKF, cv::Mat Scw, const std::vector<MapPoint*> &vpPoints, std::vector<MapPoint*> &vpMatched, int th);
// Search matches between MapPoints in a KeyFrame and ORB in a Frame.
// Brute force constrained to ORB that belong to the same vocabulary node (at a certain level)
// Used in Relocalisation and Loop Detection
int SearchByBoW(KeyFrame *pKF, Frame &F, std::vector<MapPoint*> &vpMapPointMatches);
int SearchByBoW(KeyFrame *pKF1, KeyFrame* pKF2, std::vector<MapPoint*> &vpMatches12);
// Matching for the Map Initialization (only used in the monocular case)
int SearchForInitialization(Frame &F1, Frame &F2, std::vector<cv::Point2f> &vbPrevMatched, std::vector<int> &vnMatches12, int windowSize=10);
// Matching to triangulate new MapPoints. Check Epipolar Constraint.
int SearchForTriangulation(KeyFrame *pKF1, KeyFrame* pKF2, cv::Mat F12,
std::vector<pair<size_t, size_t> > &vMatchedPairs, const bool bOnlyStereo);
// Search matches between MapPoints seen in KF1 and KF2 transforming by a Sim3 [s12*R12|t12]
// In the stereo and RGB-D case, s12=1
int SearchBySim3(KeyFrame* pKF1, KeyFrame* pKF2, std::vector<MapPoint *> &vpMatches12, const float &s12, const cv::Mat &R12, const cv::Mat &t12, const float th);
// Project MapPoints into KeyFrame and search for duplicated MapPoints.
int Fuse(KeyFrame* pKF, const vector<MapPoint *> &vpMapPoints, const float th=3.0);
// Project MapPoints into KeyFrame using a given Sim3 and search for duplicated MapPoints.
int Fuse(KeyFrame* pKF, cv::Mat Scw, const std::vector<MapPoint*> &vpPoints, float th, vector<MapPoint *> &vpReplacePoint);
public:
static const int TH_LOW;
static const int TH_HIGH;
static const int HISTO_LENGTH;
protected:
bool CheckDistEpipolarLine(const cv::KeyPoint &kp1, const cv::KeyPoint &kp2, const cv::Mat &F12, const KeyFrame *pKF);
float RadiusByViewingCos(const float &viewCos);
void ComputeThreeMaxima(std::vector<int>* histo, const int L, int &ind1, int &ind2, int &ind3);
float mfNNratio;
bool mbCheckOrientation;
};
}// namespace ORB_SLAM
#endif // ORBMATCHER_H

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/**
* 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 OPTIMIZER_H
#define OPTIMIZER_H
#include "Map.h"
#include "MapPoint.h"
#include "KeyFrame.h"
#include "LoopClosing.h"
#include "Frame.h"
#include "Thirdparty/g2o/g2o/types/types_seven_dof_expmap.h"
namespace ORB_SLAM2
{
class LoopClosing;
class Optimizer
{
public:
void static BundleAdjustment(const std::vector<KeyFrame*> &vpKF, const std::vector<MapPoint*> &vpMP,
int nIterations = 5, bool *pbStopFlag=NULL, const unsigned long nLoopKF=0,
const bool bRobust = true);
void static GlobalBundleAdjustemnt(Map* pMap, int nIterations=5, bool *pbStopFlag=NULL,
const unsigned long nLoopKF=0, const bool bRobust = true);
void static LocalBundleAdjustment(KeyFrame* pKF, bool *pbStopFlag, Map *pMap);
int static PoseOptimization(Frame* pFrame);
// if bFixScale is true, 6DoF optimization (stereo,rgbd), 7DoF otherwise (mono)
void static OptimizeEssentialGraph(Map* pMap, KeyFrame* pLoopKF, KeyFrame* pCurKF,
const LoopClosing::KeyFrameAndPose &NonCorrectedSim3,
const LoopClosing::KeyFrameAndPose &CorrectedSim3,
const map<KeyFrame *, set<KeyFrame *> > &LoopConnections,
const bool &bFixScale);
// if bFixScale is true, optimize SE3 (stereo,rgbd), Sim3 otherwise (mono)
static int OptimizeSim3(KeyFrame* pKF1, KeyFrame* pKF2, std::vector<MapPoint *> &vpMatches1,
g2o::Sim3 &g2oS12, const float th2, const bool bFixScale);
};
} //namespace ORB_SLAM
#endif // OPTIMIZER_H

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/**
* This file is part of ORB-SLAM2.
* This file is a modified version of EPnP <http://cvlab.epfl.ch/EPnP/index.php>, see FreeBSD license below.
*
* 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/>.
*/
/**
* Copyright (c) 2009, V. Lepetit, EPFL
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the FreeBSD Project
*/
#ifndef PNPSOLVER_H
#define PNPSOLVER_H
#include <opencv2/core/core.hpp>
#include "MapPoint.h"
#include "Frame.h"
namespace ORB_SLAM2
{
class PnPsolver {
public:
PnPsolver(const Frame &F, const vector<MapPoint*> &vpMapPointMatches);
~PnPsolver();
void SetRansacParameters(double probability = 0.99, int minInliers = 8 , int maxIterations = 300, int minSet = 4, float epsilon = 0.4,
float th2 = 5.991);
cv::Mat find(vector<bool> &vbInliers, int &nInliers);
cv::Mat iterate(int nIterations, bool &bNoMore, vector<bool> &vbInliers, int &nInliers);
private:
void CheckInliers();
bool Refine();
// Functions from the original EPnP code
void set_maximum_number_of_correspondences(const int n);
void reset_correspondences(void);
void add_correspondence(const double X, const double Y, const double Z,
const double u, const double v);
double compute_pose(double R[3][3], double T[3]);
void relative_error(double & rot_err, double & transl_err,
const double Rtrue[3][3], const double ttrue[3],
const double Rest[3][3], const double test[3]);
void print_pose(const double R[3][3], const double t[3]);
double reprojection_error(const double R[3][3], const double t[3]);
void choose_control_points(void);
void compute_barycentric_coordinates(void);
void fill_M(CvMat * M, const int row, const double * alphas, const double u, const double v);
void compute_ccs(const double * betas, const double * ut);
void compute_pcs(void);
void solve_for_sign(void);
void find_betas_approx_1(const CvMat * L_6x10, const CvMat * Rho, double * betas);
void find_betas_approx_2(const CvMat * L_6x10, const CvMat * Rho, double * betas);
void find_betas_approx_3(const CvMat * L_6x10, const CvMat * Rho, double * betas);
void qr_solve(CvMat * A, CvMat * b, CvMat * X);
double dot(const double * v1, const double * v2);
double dist2(const double * p1, const double * p2);
void compute_rho(double * rho);
void compute_L_6x10(const double * ut, double * l_6x10);
void gauss_newton(const CvMat * L_6x10, const CvMat * Rho, double current_betas[4]);
void compute_A_and_b_gauss_newton(const double * l_6x10, const double * rho,
double cb[4], CvMat * A, CvMat * b);
double compute_R_and_t(const double * ut, const double * betas,
double R[3][3], double t[3]);
void estimate_R_and_t(double R[3][3], double t[3]);
void copy_R_and_t(const double R_dst[3][3], const double t_dst[3],
double R_src[3][3], double t_src[3]);
void mat_to_quat(const double R[3][3], double q[4]);
double uc, vc, fu, fv;
double * pws, * us, * alphas, * pcs;
int maximum_number_of_correspondences;
int number_of_correspondences;
double cws[4][3], ccs[4][3];
double cws_determinant;
vector<MapPoint*> mvpMapPointMatches;
// 2D Points
vector<cv::Point2f> mvP2D;
vector<float> mvSigma2;
// 3D Points
vector<cv::Point3f> mvP3Dw;
// Index in Frame
vector<size_t> mvKeyPointIndices;
// Current Estimation
double mRi[3][3];
double mti[3];
cv::Mat mTcwi;
vector<bool> mvbInliersi;
int mnInliersi;
// Current Ransac State
int mnIterations;
vector<bool> mvbBestInliers;
int mnBestInliers;
cv::Mat mBestTcw;
// Refined
cv::Mat mRefinedTcw;
vector<bool> mvbRefinedInliers;
int mnRefinedInliers;
// Number of Correspondences
int N;
// Indices for random selection [0 .. N-1]
vector<size_t> mvAllIndices;
// RANSAC probability
double mRansacProb;
// RANSAC min inliers
int mRansacMinInliers;
// RANSAC max iterations
int mRansacMaxIts;
// RANSAC expected inliers/total ratio
float mRansacEpsilon;
// RANSAC Threshold inlier/outlier. Max error e = dist(P1,T_12*P2)^2
float mRansacTh;
// RANSAC Minimun Set used at each iteration
int mRansacMinSet;
// Max square error associated with scale level. Max error = th*th*sigma(level)*sigma(level)
vector<float> mvMaxError;
};
} //namespace ORB_SLAM
#endif //PNPSOLVER_H

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/**
* 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 SIM3SOLVER_H
#define SIM3SOLVER_H
#include <opencv2/opencv.hpp>
#include <vector>
#include "KeyFrame.h"
namespace ORB_SLAM2
{
class Sim3Solver
{
public:
Sim3Solver(KeyFrame* pKF1, KeyFrame* pKF2, const std::vector<MapPoint*> &vpMatched12, const bool bFixScale = true);
void SetRansacParameters(double probability = 0.99, int minInliers = 6 , int maxIterations = 300);
cv::Mat find(std::vector<bool> &vbInliers12, int &nInliers);
cv::Mat iterate(int nIterations, bool &bNoMore, std::vector<bool> &vbInliers, int &nInliers);
cv::Mat GetEstimatedRotation();
cv::Mat GetEstimatedTranslation();
float GetEstimatedScale();
protected:
void ComputeCentroid(cv::Mat &P, cv::Mat &Pr, cv::Mat &C);
void ComputeSim3(cv::Mat &P1, cv::Mat &P2);
void CheckInliers();
void Project(const std::vector<cv::Mat> &vP3Dw, std::vector<cv::Mat> &vP2D, cv::Mat Tcw, cv::Mat K);
void FromCameraToImage(const std::vector<cv::Mat> &vP3Dc, std::vector<cv::Mat> &vP2D, cv::Mat K);
protected:
// KeyFrames and matches
KeyFrame* mpKF1;
KeyFrame* mpKF2;
std::vector<cv::Mat> mvX3Dc1;
std::vector<cv::Mat> mvX3Dc2;
std::vector<MapPoint*> mvpMapPoints1;
std::vector<MapPoint*> mvpMapPoints2;
std::vector<MapPoint*> mvpMatches12;
std::vector<size_t> mvnIndices1;
std::vector<size_t> mvSigmaSquare1;
std::vector<size_t> mvSigmaSquare2;
std::vector<size_t> mvnMaxError1;
std::vector<size_t> mvnMaxError2;
int N;
int mN1;
// Current Estimation
cv::Mat mR12i;
cv::Mat mt12i;
float ms12i;
cv::Mat mT12i;
cv::Mat mT21i;
std::vector<bool> mvbInliersi;
int mnInliersi;
// Current Ransac State
int mnIterations;
std::vector<bool> mvbBestInliers;
int mnBestInliers;
cv::Mat mBestT12;
cv::Mat mBestRotation;
cv::Mat mBestTranslation;
float mBestScale;
// Scale is fixed to 1 in the stereo/RGBD case
bool mbFixScale;
// Indices for random selection
std::vector<size_t> mvAllIndices;
// Projections
std::vector<cv::Mat> mvP1im1;
std::vector<cv::Mat> mvP2im2;
// RANSAC probability
double mRansacProb;
// RANSAC min inliers
int mRansacMinInliers;
// RANSAC max iterations
int mRansacMaxIts;
// Threshold inlier/outlier. e = dist(Pi,T_ij*Pj)^2 < 5.991*mSigma2
float mTh;
float mSigma2;
// Calibration
cv::Mat mK1;
cv::Mat mK2;
};
} //namespace ORB_SLAM
#endif // SIM3SOLVER_H

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/**
* 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<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"
void usleep(__int64 usec);
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

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/**
* 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 TRACKING_H
#define TRACKING_H
#include<opencv2/core/core.hpp>
#include<opencv2/features2d/features2d.hpp>
#include"Viewer.h"
#include"FrameDrawer.h"
#include"Map.h"
#include"LocalMapping.h"
#include"LoopClosing.h"
#include"Frame.h"
#include "ORBVocabulary.h"
#include"KeyFrameDatabase.h"
#include"ORBextractor.h"
#include "Initializer.h"
#include "MapDrawer.h"
#include "System.h"
#include <mutex>
namespace ORB_SLAM2
{
class Viewer;
class FrameDrawer;
class Map;
class LocalMapping;
class LoopClosing;
class System;
class Tracking
{
public:
Tracking(System* pSys, ORBVocabulary* pVoc, FrameDrawer* pFrameDrawer, MapDrawer* pMapDrawer, Map* pMap,
KeyFrameDatabase* pKFDB, const string &strSettingPath, const int sensor);
// Preprocess the input and call Track(). Extract features and performs stereo matching.
cv::Mat GrabImageStereo(const cv::Mat &imRectLeft,const cv::Mat &imRectRight, const double &timestamp);
cv::Mat GrabImageRGBD(const cv::Mat &imRGB,const cv::Mat &imD, const double &timestamp);
cv::Mat GrabImageMonocular(const cv::Mat &im, const double &timestamp);
void SetLocalMapper(LocalMapping* pLocalMapper);
void SetLoopClosing(LoopClosing* pLoopClosing);
void SetViewer(Viewer* pViewer);
// Load new settings
// The focal lenght should be similar or scale prediction will fail when projecting points
// TODO: Modify MapPoint::PredictScale to take into account focal lenght
void ChangeCalibration(const string &strSettingPath);
// Use this function if you have deactivated local mapping and you only want to localize the camera.
void InformOnlyTracking(const bool &flag);
public:
// Tracking states
enum eTrackingState{
SYSTEM_NOT_READY=-1,
NO_IMAGES_YET=0,
NOT_INITIALIZED=1,
OK=2,
LOST=3
};
eTrackingState mState;
eTrackingState mLastProcessedState;
// Input sensor
int mSensor;
// Current Frame
Frame mCurrentFrame;
cv::Mat mImGray;
// Initialization Variables (Monocular)
std::vector<int> mvIniLastMatches;
std::vector<int> mvIniMatches;
std::vector<cv::Point2f> mvbPrevMatched;
std::vector<cv::Point3f> mvIniP3D;
Frame mInitialFrame;
// Lists used to recover the full camera trajectory at the end of the execution.
// Basically we store the reference keyframe for each frame and its relative transformation
list<cv::Mat> mlRelativeFramePoses;
list<KeyFrame*> mlpReferences;
list<double> mlFrameTimes;
list<bool> mlbLost;
// True if local mapping is deactivated and we are performing only localization
bool mbOnlyTracking;
void Reset();
protected:
// Main tracking function. It is independent of the input sensor.
void Track();
// Map initialization for stereo and RGB-D
void StereoInitialization();
// Map initialization for monocular
void MonocularInitialization();
void CreateInitialMapMonocular();
void CheckReplacedInLastFrame();
bool TrackReferenceKeyFrame();
void UpdateLastFrame();
bool TrackWithMotionModel();
bool Relocalization();
void UpdateLocalMap();
void UpdateLocalPoints();
void UpdateLocalKeyFrames();
bool TrackLocalMap();
void SearchLocalPoints();
bool NeedNewKeyFrame();
void CreateNewKeyFrame();
// In case of performing only localization, this flag is true when there are no matches to
// points in the map. Still tracking will continue if there are enough matches with temporal points.
// In that case we are doing visual odometry. The system will try to do relocalization to recover
// "zero-drift" localization to the map.
bool mbVO;
//Other Thread Pointers
LocalMapping* mpLocalMapper;
LoopClosing* mpLoopClosing;
//ORB
ORBextractor* mpORBextractorLeft, *mpORBextractorRight;
ORBextractor* mpIniORBextractor;
//BoW
ORBVocabulary* mpORBVocabulary;
KeyFrameDatabase* mpKeyFrameDB;
// Initalization (only for monocular)
Initializer* mpInitializer;
//Local Map
KeyFrame* mpReferenceKF;
std::vector<KeyFrame*> mvpLocalKeyFrames;
std::vector<MapPoint*> mvpLocalMapPoints;
// System
System* mpSystem;
//Drawers
Viewer* mpViewer;
FrameDrawer* mpFrameDrawer;
MapDrawer* mpMapDrawer;
//Map
Map* mpMap;
//Calibration matrix
cv::Mat mK;
cv::Mat mDistCoef;
float mbf;
//New KeyFrame rules (according to fps)
int mMinFrames;
int mMaxFrames;
// Threshold close/far points
// Points seen as close by the stereo/RGBD sensor are considered reliable
// and inserted from just one frame. Far points requiere a match in two keyframes.
float mThDepth;
// For RGB-D inputs only. For some datasets (e.g. TUM) the depthmap values are scaled.
float mDepthMapFactor;
//Current matches in frame
int mnMatchesInliers;
//Last Frame, KeyFrame and Relocalisation Info
KeyFrame* mpLastKeyFrame;
Frame mLastFrame;
unsigned int mnLastKeyFrameId;
unsigned int mnLastRelocFrameId;
//Motion Model
cv::Mat mVelocity;
//Color order (true RGB, false BGR, ignored if grayscale)
bool mbRGB;
list<MapPoint*> mlpTemporalPoints;
};
} //namespace ORB_SLAM
#endif // TRACKING_H

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/**
* 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 VIEWER_H
#define VIEWER_H
#include "FrameDrawer.h"
#include "MapDrawer.h"
#include "Tracking.h"
#include "System.h"
#include <mutex>
namespace ORB_SLAM2
{
class Tracking;
class FrameDrawer;
class MapDrawer;
class System;
class Viewer
{
public:
Viewer(System* pSystem, FrameDrawer* pFrameDrawer, MapDrawer* pMapDrawer, Tracking *pTracking, const string &strSettingPath);
// Main thread function. Draw points, keyframes, the current camera pose and the last processed
// frame. Drawing is refreshed according to the camera fps. We use Pangolin.
void Run();
void RequestFinish();
void RequestStop();
bool isFinished();
bool isStopped();
void Release();
private:
bool Stop();
System* mpSystem;
FrameDrawer* mpFrameDrawer;
MapDrawer* mpMapDrawer;
Tracking* mpTracker;
// 1/fps in ms
double mT;
float mImageWidth, mImageHeight;
float mViewpointX, mViewpointY, mViewpointZ, mViewpointF;
bool CheckFinish();
void SetFinish();
bool mbFinishRequested;
bool mbFinished;
std::mutex mMutexFinish;
bool mbStopped;
bool mbStopRequested;
std::mutex mMutexStop;
};
}
#endif // VIEWER_H