marker_track — DRIVE tacslip op

• Data kinds: image2d × image2d × scalar × scalar × scalar → table

• Call: import fullseye as fs; fs.ledger.marker_track(m_ref, m_cur, dark: 'float', pitch_px: 'float', r_px: 'float', piv: 'bool' = False) -> 'dict' (to call the implementation directly, import tacslip; tacslip.marker_track(m_ref, m_cur, dark: 'float', pitch_px: 'float', r_px: 'float', piv: 'bool' = False) -> 'dict'; from the registry, opsdrive.get("marker_track"))

Usage

Displacement vector field from reference and loaded marker images (marker_image): detection (marker_detect, 2 images) → correspondence by continuity (marker_match_grow) → u = p1 − p0 [px]. Returns p0, p1, u (each (M, 2)), matched, n0, n1. With piv=True, the field of pivops.piv_cross_correlate (2nd implementation, search ±0.12 window) is attached as piv_flow, piv_info, piv_at (a function that samples it at a point list). Raises ValueError: the 2 images differ in shape.

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_tacsim_marker_shear — py -3.11 examples/poc_tacsim_marker_shear.py

Ops the type connects to (they accept table as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (tacslip)

mindlin_partial_slip · mindlin_traction · hertz_surface_ur · hertzian_tangential_inner · cerruti_kernel · cerruti_surface_displacement · membrane_shear_field · membrane_markers


*Provenance: tacslip.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.