Eigen alignment fix
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@@ -116,7 +116,7 @@ public:
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/// Can be used to compute the Next-Best-View in parallel.
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/// IMPORTANT! Make sure you hold a valid reference counting pointer to frame
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/// so it is not being deleted while you use it.
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void getSeedsCopy(const FramePtr& frame, std::list<Seed>& seeds);
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void getSeedsCopy(const FramePtr& frame, std::list<Seed, aligned_allocator<Seed> >& seeds);
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/// Return a reference to the seeds. This is NOT THREAD SAFE!
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std::list<Seed, aligned_allocator<Seed> >& getSeeds() { return seeds_; }
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@@ -25,6 +25,10 @@
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#include <math.h>
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#include <Eigen/Core>
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template <class T, class Allocator = Eigen::aligned_allocator<std::pair<const int,T>> >
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using vectorA = std::vector< T, Allocator > ;
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template <class T, class Allocator = Eigen::aligned_allocator<std::pair<const int,T>> >
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using listA = std::list< T, Allocator > ;
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#include <opencv2/opencv.hpp>
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#include <sophus/se3.h>
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#include <vikit/performance_monitor.h>
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@@ -44,11 +44,11 @@ public:
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protected:
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vector<cv::Point2f> px_ref_; //!< keypoints to be tracked in reference frame.
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vector<cv::Point2f> px_cur_; //!< tracked keypoints in current frame.
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vector<Vector3d> f_ref_; //!< bearing vectors corresponding to the keypoints in the reference image.
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vector<Vector3d> f_cur_; //!< bearing vectors corresponding to the keypoints in the current image.
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vectorA<Vector3d> f_ref_; //!< bearing vectors corresponding to the keypoints in the reference image.
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vectorA<Vector3d> f_cur_; //!< bearing vectors corresponding to the keypoints in the current image.
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vector<double> disparities_; //!< disparity between first and second frame.
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vector<int> inliers_; //!< inliers after the geometric check (e.g., Homography).
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vector<Vector3d> xyz_in_cur_; //!< 3D points computed during the geometric check.
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vectorA<Vector3d> xyz_in_cur_; //!< 3D points computed during the geometric check.
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SE3 T_cur_from_ref_; //!< computed transformation between the first two frames.
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};
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@@ -56,7 +56,7 @@ protected:
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void detectFeatures(
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FramePtr frame,
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vector<cv::Point2f>& px_vec,
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vector<Vector3d>& f_vec);
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vectorA<Vector3d>& f_vec);
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/// Compute optical flow (Lucas Kanade) for selected keypoints.
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void trackKlt(
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@@ -64,17 +64,17 @@ void trackKlt(
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FramePtr frame_cur,
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vector<cv::Point2f>& px_ref,
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vector<cv::Point2f>& px_cur,
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vector<Vector3d>& f_ref,
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vector<Vector3d>& f_cur,
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vectorA<Vector3d>& f_ref,
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vectorA<Vector3d>& f_cur,
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vector<double>& disparities);
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void computeHomography(
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const vector<Vector3d>& f_ref,
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const vector<Vector3d>& f_cur,
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const vectorA<Vector3d>& f_ref,
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const vectorA<Vector3d>& f_cur,
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double focal_length,
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double reprojection_threshold,
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vector<int>& inliers,
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vector<Vector3d>& xyz_in_cur,
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vectorA<Vector3d>& xyz_in_cur,
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SE3& T_cur_from_ref);
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} // namespace initialization
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@@ -72,7 +72,7 @@ private:
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Vector2d px; //!< projected 2D pixel location.
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Candidate(Point* pt, Vector2d& px) : pt(pt), px(px) {}
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};
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typedef std::list<Candidate, aligned_allocator<Candidate> > Cell;
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typedef std::list<Candidate > Cell;
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typedef std::vector<Cell*> CandidateGrid;
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/// The grid stores a set of candidate matches. For every grid cell we try to find one match.
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