swarmflow op• Data kinds: matrix × any × scalar → image2d
• Call: import fullseye as fs; fs.ledger.swarm_render_overhead(points, shape, res: 'float', center=(0.0, 0.0), diameter_px: 'float' = 3.0, intensity: 'float' = 1.0, background: 'float' = 0.0) -> 'np.ndarray' (to call the implementation directly, import swarmflow; swarmflow.swarm_render_overhead(points, shape, res: 'float', center=(0.0, 0.0), diameter_px: 'float' = 3.0, intensity: 'float' = 1.0, background: 'float' = 0.0) -> 'np.ndarray'; from the registry, opsdrive.get("swarm_render_overhead"))
Individual positions → 1 overhead frame (Gaussian bright spots, diameter = 2 × standard deviation = the PIV convention, same as pivops).
> The detailed description below is the original text — the summary and the headings are translated.
Args:
points: (N, 2) の位置 [m] (空でもよい = 背景だけ)。
shape: (H, W) [px]。
res: 画素の大きさ [m/px]。
center: 画像の中心の世界座標 [m]。
diameter_px: 輝点の直径 [px]。
intensity: 輝点の明るさ。
background: 一様な下駄。
Returns:
(H, W) float64。
• 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_swarm_obstacle_from_flow — py -3.11 examples/poc_swarm_obstacle_from_flow.py
image2d as input)flow_from_depth_motion · ttc_truth · ttc_from_flow · foe_from_flow · perlin2 · fbm_height · fbm_gradient · radial_periodogram
swarmflow)sph_kernel · sph_density_pressure · swarm_simulate · swarm_field_from_tracks · swarm_field_from_piv · potential_flow_cylinder · velocity_deficit_map · stagnation_from_centerline
*Provenance: swarmflow.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.