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landmark-fit-repair

landmark-fit-repair

github.com/roble3Creative & media128784 installsUpdated 2w ago
Repository

About landmark-fit-repair

landmark-fit-repair is a skill for repairing mascot and logo geometry by turning named landmark differences into recipe edits. It provides a report script and export checks that keep silhouette, facial features, and aura validation distinct.

Key features

  1. 01Named landmark comparison by view
  2. 02Repair deltas for geometry recipes
  3. 03Separate checks for face and silhouette
  4. 04Export gate for structural landmark tolerance
  5. 05Aura landmarks excluded from base GLB checks

Use cases

  1. 01Correcting mascot or logo shape against a reference
  2. 02Finding geometry edits from landmark mismatches
  3. 03Checking structural fit before final export

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/roble3/cc-blender-skill --skill landmark-fit-repair

After installing, type/landmark-fit-repairin Claude Code to confirm it loaded.

Bundled filesscripts/landmark_fit_report.py

Details

From the project README

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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