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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.

中文简介正在准备中。当前显示原文说明。

集成工具Blender

实测评分 未实测

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包含的文件(2)

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

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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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