vectormark 0.2.1

Deterministic logo idealizer — rendered logo raster to clean, editable, symmetric SVG.

vectormark

Deterministic logo idealizer — turn a rendered (raster) logo into a clean, editable, exactly-symmetric SVG.

Where conventional tracers (vtracer, potrace, autotrace) chase pixel edges and emit anonymous <path> soup, vectormark recognizes structure: it collapses anti-aliasing to a true palette, detects symmetry, and fits ideal primitives (<ellipse>, <rect>, regular polygons) to regions — falling back to fitted Bézier paths only where no primitive matches. The output SVG doubles as a human-editable parametric model.

No model/LLM in the loop. Every stage is a known, deterministic algorithm.

Status

🌱 v1 pipeline working. The deterministic A0→B→C pipeline idealizes the Daikonic mark end-to-end (SSIM 0.98 / mean ΔE 0.006 vs. source) into a 1.9 KB structured SVG with exact bilateral symmetry. See the design spec and plan:

• spec: docs/superpowers/specs/2026-06-04-vectormark-logo-idealizer-design.md
• plan: docs/superpowers/plans/2026-06-04-vectormark-v1.md

uv sync --extra dev
uv run vectormark path/to/logo.png -o out.svg
uv run pytest

Variant matrix

Explore the geometric design space in one shot — idealize swept across an epsilon × max_error grid:

uv run vectormark logo.png --variants                       # 3×3 grid -> ./logo-variants/
uv run vectormark logo.png --variants --out-dir ./looks/
uv run vectormark logo.png --variants --epsilons 0.5,2,4 --max-errors 0.5,2

Add --axes to draw each detected symmetry axis over the contact-sheet tiles — a quick visual check of what the symmetry detector found.

Writes variant-e<ε>-m<max_error>.svg per cell and a manifest.json listing each variant's params and the fitter strategies it used. With the scoring extra installed it also renders an annotated contact-sheet.png (one tile per cell, labelled with its strategy histogram).

MCP integration is available for AI clients that can call local stdio servers (the server lives in the optional server extra; scored selection needs the scoring extra — without it, selection falls back to the cascade pick):

uv sync --extra server --extra scoring
npm --prefix integrations/mcp-app install
npm --prefix integrations/mcp-app run build
uv run vectormark-mcp

See docs/mcp.md for client configuration and hosted app notes.

Pipeline (v1)

A0  color optimization   robust palette (OKLab, ΔE-merge); AA halo discarded as noise
B   trace + clean        vtracer per layer; drop background plate
C   idealize             symmetry axis (PCA + reflection gate) → fundamental domain
                         → contour → RDP → primitive-first / Bézier-fallback
                         → geometry-level mirror (<use>)
→   structured SVG       native shapes + <use>; optional --flatten to paths

v1 targets flat-color segmented marks. v1.1 adds gradient normalize/re-apply.

Prototype → core

Built first in Python (numpy/scipy/scikit-image/shapely/Pillow + vtracer), with a pure, IO-free pipeline so the eventual Rust core (npm via napi-rs, PyPI via PyO3/maturin, WASM for browser) is a mechanical port.

License

MIT