marker_image — DRIVE `tacslip` op

• Data kinds: rgb × rgb → image2d

• Call: import fullseye as fs; fs.ledger.marker_image(rgb, bg) -> 'np.ndarray' (to call the implementation directly, import tacslip; tacslip.marker_image(rgb, bg) -> 'np.ndarray'; from the registry, opsdrive.get("marker_image"))

Usage

Marker-only image m = 1 − gray/gray_bg ∈ [0, 1] (H, W). bg = an image under the same lighting without markers = corresponds to reference-frame calibration on real hardware. Raises ValueError: the 2 images differ in shape, or are not (H, W, 3).

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 `image2d` as input)

flow_from_depth_motion · ttc_truth · ttc_from_flow · foe_from_flow · perlin2 · fbm_height · fbm_gradient · radial_periodogram

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).*

marker_image — DRIVE tacslip op