1.0.0-alpha.2

magnitudedev/magnitude1.0.0-alpha.2Jul 27, 2026by tyt2y3

Upgrading?

AI Summary

Introduces watershed clustering, curve simplification, and binary thresholding features while reorganizing the workspace structure.

Key Highlights

  • New watershed clustering algorithm with interactive detail slider
  • Curve simplification (paper.js style) reduces file size
  • Binary thresholding options (fixed and adaptive)
  • `color_mode` replaced by `clustering` option
  • Spline fitting fixed to prevent wide swings on thin strands

Breaking Changes

  • `color_mode` field replaced by `clustering` field
  • Spline fine-tuning flags hidden from CLI

New Features

  • Watershed clustering
  • Curve simplification
  • Binary thresholding

Full Release Notes

### Added

* Watershed clustering (`--clustering watershed`): a new region-forming frontend — a hierarchical watershed on the pixel graph (Cousty et al. 2009; Najman et al. 2013), controlled by one dial, `--watershed-detail` (0..=255; each +25.5 roughly doubles the region count). Regions follow image content, with no watershed-line pixels.
  * Boundaries come out calm: antialiased pixels snap to the color-midpoint iso-line instead of meandering with the noise inside the ramp.
  * `stacked` stacks the merge tree itself (coarse ancestors below, refined regions on top), so overdraw stays seam-free.
  * `cutout` gets the partition natively; neighbouring faces closer than `max(2, (255 − detail) / 8)` merge, so faces a human cannot tell apart never survive as separate patches.
  * `WatershedHierarchy` is public, split into `build` (expensive, image-only) and `cut` (near-instant); `Session` re-cuts a cached hierarchy on detail changes, making the slider fully interactive (~25 ms vs ~40 ms on a 1400×775 photo).
* Curve simplification (`--simplify <tolerance>`, `Config::simplify`, `simplify` in Python and Node; off by default): a paper.js-style Schneider re-fit — each smooth run between corners is redrawn with the fewest cubics that stay within the tolerance (px). Roughly halves file size (sample photo at tolerance 1: 229 → 138 KB stacked, 103 → 36 KB watershed cutout). Runs on fitted geometry before composition, so cutout simplifies each shared boundary once and stays seam-free; corners and junction endpoints stay pinned.
* Binary thresholding: a tunable fixed threshold (`--threshold`) and Bradley–Roth adaptive thresholding for uneven lighting (`--adaptive`, `--adaptive-window`, `--adaptive-t`) — also on `Config`, Python, and Node.
* Cutout mode merges neighbouring faces whose colors are within one gradient step, rejoining the near-identical faces that stacked gradient layering splits a smooth area into.

### Changed

* `color_mode` is replaced by `clustering` (`color-cluster` | `bw` | `watershed`) across the CLI, Rust, Python, and Node — the field selects the region-forming algorithm, not a color space.
* The spline fine-tuning flags (`--corner-threshold`, `--segment-length`, `--splice-threshold`) are hidden from CLI help — still accepted, but without their `-c`/`-l`/`-s` short forms. The defaults serve virtually every conversion; `--simplify` supersedes them.

### Fixed

* Spline fitting no longer swings far away from the outline around thin strands (a long-standing defect, fixed via visioncortex 0.9.1): a sparse splice slice could be fitted by a single cubic that passed through every sample yet ballooned up to ~30 px sideways between them. Slices are now densified before fitting and multi-cubic fits kept in full, in both stacked mode and the mosaic fitter.

Related Repositories