membrane_markers — DRIVE `tacslip` op

• Data kinds: scalar × scalar → matrix

• Call: import fullseye as fs; fs.ledger.membrane_markers(n: 'int', pitch_px: 'float', ox: 'float' = 0.3, oy: 'float' = 0.6) -> 'np.ndarray' (to call the implementation directly, import tacslip; tacslip.membrane_markers(n: 'int', pitch_px: 'float', ox: 'float' = 0.3, oy: 'float' = 0.6) -> 'np.ndarray'; from the registry, opsdrive.get("membrane_markers"))

Usage

Regular grid of marker centers (N, 2) = (x, y) [px] scattered over an n×n-pixel field of view (pitch pitch_px, subpixel phase (ox, oy)). Just 1 extra ring is also scattered outside the field of view (for markers that move in through displacement). Raises ValueError: n < 8, pitch_px < 2.

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

• poc_tactile_dipole_torque — py -3.11 examples/poc_tactile_dipole_torque.py

Ops the type connects to (they accept `matrix` as input)

world_camera · lidar_scan · relative_motion · foe_from_motion · flow_from_depth_motion · ttc_truth · world_materials · mesh_signed_volume

Same category (`tacslip`)

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

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

membrane_markers — DRIVE tacslip op