Skill detail
reference-analysis-validator
Specialized reference-matching validation workflow.
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SKILL.md
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--- name: reference-analysis-validator description: Measure and validate supplied reference images, wireframes, texture atlases, and Blender renders before declaring a reconstruction 1:1. Use when an asset must match a template, when visual feedback says the output is off, when part counts must be exact, or before exporting a brand mascot/logo reconstruction. Pairs with reference-to-3d, contour-to-mesh, orthographic-registration, atlas-uv-fitting, and Blender MCP. when_to_use: Any 1:1 reference/model validation task involving masks, overlays, part counts, centroids, bounding boxes, SSIM/IoU, source manifests, or fail-before-export gates. allowed-tools: Read Bash Glob Grep mcp__blender__execute_blender_code mcp__blender__get_scene_info mcp__blender__get_object_info --- # Reference Analysis Validator This skill converts “looks close” into measurable gates. For brand/logo/mascot work, **do not model or export until a source manifest and validation thresholds exist**. ## Required outputs Create these in the asset output folder: - `reference_manifest.json` — classified source files, expected parts, thresholds. - `source_analysis/*.json` — image metadata, masks/components/landmarks. - `validation/front_overlay_reference.png` — reference and render overlay. - `validation/front_mask_validation.json` — IoU/SSIM/bbox/centroid report. ## Workflow 1. Classify sources: front, side, back, top, texture atlas, decals, maps, lightmap, aura/context. 2. Build/refresh `reference_manifest.json` with hard expected counts and view roles. 3. Extract masks/components from each source using `scripts/reference_manifest_compiler.py` or existing analyzers. 4. Render model from matching orthographic camera with reference planes hidden. 5. Compare reference mask vs render mask using `scripts/render_overlay_validator.py`. 6. Refuse final export if hard gates fail. ## Modality rule Compare like with like. A wireframe edge mask compared against a shaded beauty render gives misleadingly low IoU. For hard gates, render a flat silhouette/matte pass from Blender or compare reference edges to render edges. Use `render_overlay_validator.py --reference-mode ... --render-mode ...` when the source and render need different mask extraction modes. ## Default validation gates - primary structural part count: exact. - front silhouette IoU: target >= 0.90 for rigid/logotype shapes; >= 0.82 acceptable for first mascot reconstruction pass. - bbox center drift: <= 12 px at 1024 px validation size. - bbox size drift: <= 3% of image dimension. - face/eye/smile landmark drift: <= 2% of image dimension when landmarks are defined. ## Failure policy If a repeated mismatch occurs, record the measured failure, then route to the missing specialty skill: - wrong silhouette → `contour-to-mesh` - wrong depth/side/back → `orthographic-registration` - wrong textures → `atlas-uv-fitting` - wrong whole workflow → `mascot-logo-reconstruction` ## Read when needed - `references/metrics-and-thresholds.md` for metric definitions and recommended gates. ## Sources distilled Official/library docs to prefer while extending this skill: - OpenCV contour features: moments, area, perimeter, bounding rectangles. - OpenCV shape matching / Hu moments. - OpenCV homography and geometric transforms. - scikit-image SSIM for perceptual comparison.Read the full source on GitHub (opens external page)