landmark-fit-repairlisted

# Landmark Fit Repair Bbox and IoU are too coarse for final mascot/logo matching. This skill turns named feature drift into recipe edits. ## Landmark classes - `structural_tip`: outer part tips and extrema; - `shell_corner`: face/shell/rim corners; - `feature`: eyes, smile, brows, decals; - `ring`: aura center/radius/dots; - `depth_marker`: side/back/top thickness markers. ## Workflow 1. Define a landmark JSON for the source reference. 2. Detect or render corresponding product landmarks. 3. Compare by name and view. 4. Convert deltas into repair actions: move boundary control point, scale one component, shift feature curve, tune depth, or adjust aura radius. 5. Rebuild from recipe; do not hand-edit final geometry without updating the recipe/manifest. ## Hard gates - No final export when named structural landmarks exceed tolerance. - Face features must be validated separately from body silhouette. - Aura/context landmarks must not affect base GLB acceptance. ## Script - `scripts/landmark_fit_report.py` compares two named-landmark JSON files and emits repair deltas. ## Landmark JSON schema ```json { "schema": "landmarks.v1", "image_size": [width, height], "landmarks": [ {"view":"front", "name":"leaf_top_tip", "class":"structural_tip", "x":627, "y":130} ] } ``` For part masks, generate initial landmarks from extrema: top/bottom/left/right, centroid, and contour inflection points. Then rename them to semantic names before repair.