points_activity_video — CONNGRAPH `activity` op

• Data kinds: points × matrix → rgbvideo

• Call: import fullseye as fs; fs.ledger.points_activity_video(P: 'Any', X: 'Any', colors: 'Any' = None, size: 'int' = 480, aspect: 'float' = 0.75, pitch: 'float' = 15.0, yaw_start: 'float' = 0.0, yaw_span: 'float' = 360.0, substeps: 'int' = 1, point_px: 'int' = 2, gain: 'float' = 100.0, background: 'Any' = None, views: 'Any' = None) -> 'np.ndarray' (to call the implementation directly, import conngraph; conngraph.points_activity_video(P: 'Any', X: 'Any', colors: 'Any' = None, size: 'int' = 480, aspect: 'float' = 0.75, pitch: 'float' = 15.0, yaw_start: 'float' = 0.0, yaw_span: 'float' = 360.0, substeps: 'int' = 1, point_px: 'int' = 2, gain: 'float' = 100.0, background: 'Any' = None, views: 'Any' = None) -> 'np.ndarray'; from the registry, opsconngraph.get("points_activity_video"))

Usage

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

点群に活動を載せて回す色動画 (F, H, W, 3)、値 [0, 1]。F = T × substeps、H = size、W = size × aspect。

`views` に (yaw, pitch) の並び(度)を渡すと回さずに、その方向から見たコマを横に並べる

(W = views 数 × size × aspect + 4 px の隙間、yaw_start / yaw_span は使わない)。同じ瞬間を

複数の方向から見比べる用(例: 背側 (0, 0) / 側面 (90, 0) / 体軸方向 (0, 90))。

`P = (n, 3) の座標、X` = (T, n) の状態列(reservoir_states)。コマ k は時刻 k / substeps の

状態(隣り合うステップの線形補間)を、yaw = yaw_start + yaw_span × k / F のカメラで正射影する。

明るさ b = log1p(gain · |x| / max|X|) / log1p(gain) —— 尺度は全コマで 1 つ(コマごとに伸ばすと

動いていないものがちらつく)。ノードの色 = `colors`((n, 3)、[0, 1]、None なら白)× (0.2 + 0.8 b)、

b > 0.5 のノードは一回り大きく明るく塗る。`background` は (m, 3) の点群を薄い灰で先に敷く

(脳の全 soma の上に選んだノードを載せる、など)。画角は P と background を合わせた箱で決める。

出力は F×H×W×3 ≤ MAX_VIDEO_ELEMENTS(2^27)に制限する。

Detailed usage guide

• conngraph family guide

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)

• poc_connectome_motor_bottleneck — py -3.11 examples/poc_connectome_motor_bottleneck.py

• poc_em_branch_territory — py -3.11 examples/poc_em_branch_territory.py

• poc_em_second_opinion — py -3.11 examples/poc_em_second_opinion.py

• poc_eye_to_brain — py -3.11 examples/poc_eye_to_brain.py

• poc_malecns_activity_wave — py -3.11 examples/poc_malecns_activity_wave.py

• poc_microns_brain_wave — py -3.11 examples/poc_microns_brain_wave.py

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

—

Same category (`activity`)

graph_activation_latency · graph_activity_spread

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

points_activity_video — CONNGRAPH activity op