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t/slam: Implement CSV writers for trajectories and timing info
This CSV files can be used for offline analysis.
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@ -25,6 +25,8 @@
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#include <opencv2/core/mat.hpp>
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#include <opencv2/core/version.hpp>
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#include <fstream>
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#include <iomanip>
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#include <map>
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#define SLAM_TRACE(...) U_LOG_IFL_T(t.log_level, __VA_ARGS__)
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@ -61,14 +63,21 @@ DEBUG_GET_ONCE_OPTION(slam_config, "SLAM_CONFIG", NULL)
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//! Whether to submit data to the SLAM tracker without user action
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DEBUG_GET_ONCE_BOOL_OPTION(slam_submit_from_start, "SLAM_SUBMIT_FROM_START", false)
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//! Whether to enable CSV writers from the start for later analysis
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DEBUG_GET_ONCE_BOOL_OPTION(slam_write_csvs, "SLAM_WRITE_CSVS", false)
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//! Namespace for the interface to the external SLAM tracking system
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namespace xrt::auxiliary::tracking::slam {
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constexpr int UI_TIMING_POSE_COUNT = 192;
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constexpr int UI_GTDIFF_POSE_COUNT = 192;
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using std::ifstream;
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using std::make_unique;
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using std::map;
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using std::ofstream;
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using std::shared_ptr;
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using std::string;
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using std::unique_ptr;
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using std::vector;
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using Trajectory = map<timepoint_ns, xrt_pose>;
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@ -169,6 +178,95 @@ public:
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}
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};
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//! Writes poses and their timestamps to a CSV file
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class TrajectoryWriter
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{
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public:
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bool enabled; // Modified through UI
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private:
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string filename;
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ofstream file;
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bool created = false;
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void
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create()
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{
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file = ofstream{filename};
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file << "#timestamp [ns], p_RS_R_x [m], p_RS_R_y [m], p_RS_R_z [m], "
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"q_RS_w [], q_RS_x [], q_RS_y [], q_RS_z []" CSV_EOL;
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file << std::fixed << std::setprecision(CSV_PRECISION);
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}
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public:
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TrajectoryWriter(const string &fn, bool e) : enabled(e), filename(fn) {}
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void
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push(timepoint_ns ts, const xrt_pose &pose)
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{
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if (!enabled) {
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return;
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}
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if (!created) {
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created = true;
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create();
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}
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xrt_vec3 p = pose.position;
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xrt_quat r = pose.orientation;
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file << ts << ",";
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file << p.x << "," << p.y << "," << p.z << ",";
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file << r.w << "," << r.x << "," << r.y << "," << r.z << CSV_EOL;
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}
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};
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//! Writes timestamps measured when estimating a new pose by the SLAM system
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class TimingWriter
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{
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public:
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bool enabled; // Modified through UI
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private:
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string filename;
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vector<string> column_names;
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ofstream file;
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bool created = false;
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void
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create()
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{
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file = ofstream{filename};
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file << "#";
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for (const string &col : column_names) {
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string delimiter = &col != &column_names.back() ? "," : CSV_EOL;
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file << col << delimiter;
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}
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}
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public:
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TimingWriter(const string &fn, bool e, const vector<string> &cn) : enabled(e), filename(fn), column_names(cn) {}
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void
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push(const vector<timepoint_ns> ×tamps)
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{
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if (!enabled) {
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return;
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}
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if (!created) {
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created = true;
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create();
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}
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for (const timepoint_ns &ts : timestamps) {
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string delimiter = &ts != ×tamps.back() ? "," : CSV_EOL;
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file << ts << delimiter;
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}
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}
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};
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//! SLAM prediction type. Naming scheme as follows:
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//! P: position, O: orientation, A: angular velocity, L: linear velocity
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//! S: From SLAM poses (slow, precise), I: From IMU data (fast, noisy)
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@ -261,6 +359,12 @@ struct TrackerSlam
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// Stats and metrics
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// CSV writers for offline analysis (using pointers because of container_of)
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TimingWriter *slam_times_writer; //!< Timestamps of the pipeline for performance analysis
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TrajectoryWriter *slam_traj_writer; //!< Estimated poses from the SLAM system
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TrajectoryWriter *pred_traj_writer; //!< Predicted poses
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TrajectoryWriter *filt_traj_writer; //!< Predicted and filtered poses
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//! Tracker timing info for performance evaluation
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struct
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{
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@ -510,8 +614,10 @@ flush_poses(TrackerSlam &t)
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t.slam_rels.push(rel, nts);
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gt_ui_push(t, nts, rel.pose);
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t.slam_traj_writer->push(nts, rel.pose);
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auto tss = timing_ui_push(t, np);
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t.slam_times_writer->push(tss);
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dequeued = t.slam->try_dequeue_pose(tracked_pose);
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}
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@ -670,6 +776,10 @@ setup_ui(TrackerSlam &t)
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u_var_add_f32(&t, &t.gravity_correction.z, "Gravity Correction");
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u_var_add_gui_header(&t, NULL, "Stats");
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u_var_add_bool(&t, &t.slam_traj_writer->enabled, "Record tracked trajectory");
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u_var_add_bool(&t, &t.pred_traj_writer->enabled, "Record predicted trajectory");
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u_var_add_bool(&t, &t.filt_traj_writer->enabled, "Record filtered trajectory");
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u_var_add_bool(&t, &t.slam_times_writer->enabled, "Record tracker times");
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timing_ui_setup(t);
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// Later, gt_ui_setup will setup the tracking error UI if ground truth becomes available
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}
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@ -696,8 +806,12 @@ t_slam_get_tracked_pose(struct xrt_tracked_slam *xts, timepoint_ns when_ns, stru
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}
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flush_poses(t);
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predict_pose(t, when_ns, out_relation);
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t.pred_traj_writer->push(when_ns, out_relation->pose);
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filter_pose(t, when_ns, out_relation);
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t.filt_traj_writer->push(when_ns, out_relation->pose);
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t.last_rel = *out_relation;
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t.last_ts = when_ns;
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@ -812,6 +926,10 @@ t_slam_node_destroy(struct xrt_frame_node *node)
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SLAM_DEBUG("Destroying SLAM tracker");
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os_thread_helper_destroy(&t_ptr->oth);
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delete t.gt.trajectory;
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delete t.slam_times_writer;
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delete t.slam_traj_writer;
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delete t.pred_traj_writer;
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delete t.filt_traj_writer;
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u_var_remove_root(t_ptr);
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m_ff_vec3_f32_free(&t.gyro_ff);
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m_ff_vec3_f32_free(&t.accel_ff);
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@ -922,6 +1040,13 @@ t_slam_create(struct xrt_frame_context *xfctx, struct xrt_tracked_slam **out_xts
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t.timing.columns.insert(t.timing.columns.begin() + 1, cols.begin(), cols.end());
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}
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// Setup CSV files
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bool write_csvs = debug_get_bool_option_slam_write_csvs();
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t.slam_times_writer = new TimingWriter{"timing.csv", write_csvs, t.timing.columns};
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t.slam_traj_writer = new TrajectoryWriter{"tracking.csv", write_csvs};
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t.pred_traj_writer = new TrajectoryWriter{"prediction.csv", write_csvs};
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t.filt_traj_writer = new TrajectoryWriter{"filtering.csv", write_csvs};
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setup_ui(t);
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*out_xts = &t.base;
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