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https://github.com/introlab/rtabmap.git
synced 2026-09-02 09:30:25 +08:00
Added rtabmap-kitti_dataset tool
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@@ -107,12 +107,14 @@ public:
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_depthFromScanFillHolesFromBorder = fillHolesFromBorder;
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}
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// Format: 0=Raw, 1=RGBD-SLAM, 2=KITTI, 3=TORO, 4=g2o, 5=NewCollege(t,x,y), 6=Malaga Urban GPS, 7=St Lucia INS, 8=Karlsruhe
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void setOdometryPath(const std::string & filePath, int format = 0)
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{
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_odometryPath = filePath;
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_odometryFormat = format;
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}
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// Format: 0=Raw, 1=RGBD-SLAM, 2=KITTI, 3=TORO, 4=g2o, 5=NewCollege(t,x,y), 6=Malaga Urban GPS, 7=St Lucia INS, 8=Karlsruhe
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void setGroundTruthPath(const std::string & filePath, int format = 0)
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{
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_groundTruthPath = filePath;
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@@ -127,7 +129,11 @@ public:
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protected:
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virtual SensorData captureImage(CameraInfo * info = 0);
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bool readPoses(std::list<Transform> & outputPoses, std::list<double> & stamps, const std::string & filePath, int format) const;
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bool readPoses(
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std::list<Transform> & outputPoses,
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std::list<double> & stamps,
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const std::string & filePath,
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int format) const;
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private:
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std::string _path;
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@@ -42,6 +42,8 @@ namespace rtabmap
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{
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class Camera;
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class CameraInfo;
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class SensorData;
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class StereoDense;
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/**
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@@ -80,6 +82,8 @@ public:
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_scanNormalsK = normalsK;
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}
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void postUpdate(SensorData * data, CameraInfo * info = 0) const;
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//getters
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bool isPaused() const {return !this->isRunning();}
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bool isCapturing() const {return this->isRunning();}
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@@ -53,7 +53,7 @@ bool RTABMAP_EXP exportPoses(
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bool RTABMAP_EXP importPoses(
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const std::string & filePath,
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int format, // 0=Raw, 1=RGBD-SLAM, 2=KITTI, 3=TORO, 4=g2o, GPS (t,x,y)
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int format, // 0=Raw, 1=RGBD-SLAM, 2=KITTI, 3=TORO, 4=g2o, 5=NewCollege(t,x,y), 6=Malaga Urban GPS, 7=St Lucia INS, 8=Karlsruhe
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std::map<int, Transform> & poses,
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std::multimap<int, Link> * constraints = 0, // optional for formats 3 and 4
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std::map<int, double> * stamps = 0); // optional for format 1
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@@ -48,6 +48,7 @@ public:
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bool isGridFromDepth() const {return occupancyFromCloud_;}
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bool isFullUpdate() const {return fullUpdate_;}
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const std::map<int, Transform> & addedNodes() const {return addedNodes_;}
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int cacheSize() const {return (int)cache_.size();}
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template<typename PointT>
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typename pcl::PointCloud<PointT>::Ptr segmentCloud(
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@@ -59,11 +59,30 @@ public:
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Rtabmap();
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virtual ~Rtabmap();
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bool process(const cv::Mat & image, int id=0); // for convenience, an id is automatically generated if id=0
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/**
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* @brief Main loop of rtabmap.
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* @param data Sensor data to process.
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* @param odomPose Odometry pose, should be non-null for RGB-D SLAM mode.
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* @param covariance Odometry covariance.
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* @param externalStats External statistics to be saved in the database for convenience
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* @return true if data has been added to map.
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*/
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bool process(
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const SensorData & data,
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Transform odomPose,
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const cv::Mat & covariance = cv::Mat::eye(6,6,CV_64FC1)); // for convenience
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const cv::Mat & odomCovariance = cv::Mat::eye(6,6,CV_64FC1),
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const std::map<std::string, float> & externalStats = std::map<std::string, float>());
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// for convenience
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bool process(
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const SensorData & data,
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Transform odomPose,
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float odomLinearVariance,
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float odomAngularVariance,
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const std::map<std::string, float> & externalStats = std::map<std::string, float>());
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// for convenience, loop closure detection only
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bool process(
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const cv::Mat & image,
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int id=0, const std::map<std::string, float> & externalStats = std::map<std::string, float>());
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void init(const ParametersMap & parameters, const std::string & databasePath = "");
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void init(const std::string & configFile = "", const std::string & databasePath = "");
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@@ -129,7 +129,7 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudFromStereoImages(
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const cv::Mat & imageLeft,
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const cv::Mat & imageRight,
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const StereoCameraModel & model,
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int decimation = 1,
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float decimation = 1.0f,
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float maxDepth = 0.0f,
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float minDepth = 0.0f,
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std::vector<int> * validIndices = 0,
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