tb_intrinsics_to_carla — 2D `typed` op

• Data kinds: matrix → matrix

• Call: fullseye.apply(img, "tb_intrinsics_to_carla", 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 — 同上(主点を 0.5 画素戻す橋). See the runnable examples below for usage.*

Usage

Inverse of intrinsics_to_fullseye (shifts the principal point back by 0.5).

The drive op intrinsics_to_carla 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.

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.

Runnable examples (verified samples that actually call this op)

• (none yet)

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

identity · tb_mat_pinv · tb_mat_cond · tb_stat_covariance · tb_stat_correlation · tb_intrinsics_to_fullseye · matrix_to_img

Same category (`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).*

tb_intrinsics_to_carla — 2D typed op