typed op• Data kinds: matrix → matrix
• Call: fullseye.apply(img, "tb_intrinsics_to_fullseye", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*No figure: the type is reachable, but the generic synthetic input is outside this op's domain — 3×3 で焦点距離が正の K だけを受け、汎用の合成 matrix は fail-closed で拒否される(op_probe の探針では走る). See the runnable examples below for usage.*
CARLA's K (pixel corners at integers, principal point W/2) → Fullseye / render3d's K (pixel centers at integers, principal point (W−1)/2). It only shifts the principal point by 0.5.
The drive op intrinsics_to_fullseye bridged into the 2-D evolution registry. The implementation is the same; only the calling convention is adapted to op(v, a, b). This op has no tunable parameters; neither a nor b is used.
• 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 examples below call the underlying ledger op intrinsics_to_fullseye. This bridge op is the same implementation adapted to the fn(v, a, b) convention, so the behaviour carries over unchanged (only the call form differs).
• poc_carla_bridge — py -3.11 examples/poc_carla_bridge.py
matrix as input)identity · tb_mat_pinv · tb_mat_cond · tb_stat_covariance · tb_stat_correlation · tb_intrinsics_to_carla · matrix_to_img
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal · tb_voxel_grid_downsample
*Provenance: ops.py — 2D 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.