grind op• Data kinds: scalar × scalar × scalar → table
• Call: import fullseye as fs; fs.ledger.particle_image_synth(n: 'int' = 60, d_med: 'float' = 12.0, sigma_ln: 'float' = 0.35, shape=(256, 256), pitch: 'float' = 1.0, seed: 'int' = 0, gap: 'float' = 3.0, supersample: 'int' = 4) -> 'dict' (to call the implementation directly, import grind; grind.particle_image_synth(n: 'int' = 60, d_med: 'float' = 12.0, sigma_ln: 'float' = 0.35, shape=(256, 256), pitch: 'float' = 1.0, seed: 'int' = 0, gap: 'float' = 3.0, supersample: 'int' = 4) -> 'dict'; from the registry, opsdrive.get("particle_image_synth"))
> This operator's description has not been translated yet. The original text follows as it is.
重ならない円板(粒子の投影)を撒いた被覆率の画像と真値(直径 [µm] の対数正規、`pitch` µm/px)。
円板どうしは `gap` px 以上離す(融合は別の問題で、poc_particle_sizing が扱う)。既定 3 px: 2 px だと両側の部分画素が
斜めに隣り合い、8 連結のラベルで 2 個が 1 個になった(12 枚中 4 枚、体積基準の D50 が最大 8.5 % ずれた)。縁は `supersample` で反エイリアス。
返り: `image((H, W) 被覆率)、pitch、truth(diameters µm、centres px、touches_border`)。
置けなかった粒子があれば `n_placed < n`(黙って詰めない)。
• 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_powder_grinding_ae — py -3.11 examples/poc_powder_grinding_ae.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
grind)particle_size_read · particle_size_dx · particle_size_oversize · particle_size_synth · comminution_energy · comminution_law_fit · breakage_first_order_fit · replicate_compare
*Provenance: grind.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.