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landmark-fit-repair

Validate and repair source-locked Blender models using named landmarks such as leaf tips, shell corners, eyes, smile, rim thickness, aura center/radius, and view-specific depth markers. Use when bbox/IoU is insufficient and the model must align to templates at designed feature points.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Blender

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

  • SKILL.md2.8 KB
  • scripts/landmark_fit_report.py1.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

MCP backend

Use when: Landmark validation, feature-point deltas, control-point repair, face/eye/smile alignment, leaf tip alignment, aura ring fitting, iterative recipe parameter updates.

Before the first Blender call, read ../text-to-blender/references/mcp-backends.md. Prefer official MCP for shared capabilities; preserve the selected backend for the whole task. Tool names in recipes are client/legacy examples: map them through that reference and its agent-host guide.

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

{
  "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.

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