flow op• Data kinds: image2d × image2d → table
• Call: import fullseye as fs; fs.ledger.physarum_transport_image(a, b, connectivity=4, normalize=True, dt=0.1, max_iters=5000, tol=1e-06, gap_tol=1e-06, snapshots=0) (implementation को सीधे call करना हो तो import physarum_search; physarum_search.physarum_transport_image(a, b, connectivity=4, normalize=True, dt=0.1, max_iters=5000, tol=1e-06, gap_tol=1e-06, snapshots=0), registry से लेना हो तो opsgraph.get("physarum_transport_image"))
slime mould की tube dynamics से दो mass images के बीच earth mover's distance।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
Every pixel is a node; neighbouring pixels (connectivity 4 or 8) are joined by a tube of length 1 (sqrt(2) on diagonals), so the ground metric is the grid path length (Manhattan for 4, octile for 8). Mass a enters and mass b leaves: the supply is a - b after both are scaled to unit mass (normalize=True; with False they must already carry the same mass). Dynamics, convergence and the two-sided bound as in graph_physarum_transport; larger images run on the sparse Laplacian with conjugate gradients.
Returns cost (the 1-Wasserstein distance estimate in pixel units, an upper bound), dual_bound (Kantorovich–Rubinstein lower bound), gap, conductance (an image: each pixel's thickest incident tube), flow_field ((H, W, 2): the mean of the flow vectors of the tubes at each pixel, in (row, col) units of mass per unit length, for drawing arrows), potential ((H, W) pressures), iters, converged, gap_converged, history, cost_history, dual_history, and with snapshots = m > 0 also snapshots (m conductance images at evenly spaced iterations, the last one final), snapshot_iters and snapshot_cost (sum_e L_e |Q_e| at those iterations) for watching the tubes form.
Raises ValueError: images not 2-D, finite, non-negative, of the same shape with at least 2 rows and columns, or without mass; unequal masses when normalize=False; connectivity not 4 or 8; snapshots < 0; and as graph_physarum_transport.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_physarum_transport — py -3.11 examples/poc_physarum_transport.py
table को input के रूप में लेते हैं)graph_edge_consensus · graph_core_persistence · tree_morphometry · tree_sholl · tree_run_length
flow)graph_physarum_path · physarum_route · graph_physarum_transport
*Provenance: physarum_search.py — GRAPH operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.