ttc op• Data kinds: image2d × matrix × matrix → table
• Call: import fullseye as fs; fs.ledger.flow_from_depth_motion(depth, K, T_rel) -> 'dict' (to call the implementation directly, import drivettc; drivettc.flow_from_depth_motion(depth, K, T_rel) -> 'dict'; from the registry, opsdrive.get("flow_from_depth_motion"))
Ground-truth optical flow from a depth image and a rigid motion: {"u", "v", "valid", "depth1"} (each (H, W)).
> The detailed description below is the original text — the summary and the headings are translated.
画素の 3-D 点を T_rel で動かして再投影し、u = col₁ − col₀、v = row₁ − row₀。動かした後にカメラの背後へ行く点や深度の無い画素は valid = False(u, v は NaN)。depth1 は動かした後の深度。光学流の推定器の採点に使う真値(推定器と同じ規約: (x, y) → (x + u, y + v))。
• 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.
• poc_ttc_rss — py -3.11 examples/poc_ttc_rss.py
• poc_world_terrain — py -3.11 examples/poc_world_terrain.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
ttc)relative_motion · foe_from_motion · ttc_truth · ttc_from_flow · ttc_from_scale · ttc_from_range · label_extent · foe_from_flow
*Provenance: drivettc.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.