events_to_frames — DRIVE `motion_io` op

• Data kinds: table → voxel

• Call: import fullseye as fs; fs.ledger.events_to_frames(events: 'dict', n_frames: 'int' = 32, shape=None) -> 'np.ndarray' (to call the implementation directly, import motionio; motionio.events_to_frames(events: 'dict', n_frames: 'int' = 32, shape=None) -> 'np.ndarray'; from the registry, opsdrive.get("events_to_frames"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

イベントを時間で n_frames に等分し、画素ごとに極性を足したコマ (T, H, W) にする(ON = +1、OFF = −1)。

全イベントの極性の和はコマの総和と一致する(落とすイベントは無い)。

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)

• (none yet)

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

spin_from_marker_sequence · carla_transform_matrix · carla_pose_to_world · carla_camera_pose · carla_xy_yaw · carla_scene_load · town_chain · osm_parse

Same category (`motion_io`)

read_bvh · read_events

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

events_to_frames — DRIVE motion_io op