Prepare 1.0.0-alpha.2 release

- version 1.0.0-alpha.2 across the workspace, Python, and Node packages
- CHANGELOG: date the unreleased section
- README: bump install snippets and docs.rs link

CHANGELOG.md

@@ -5,7 +5,7 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](http://keepachangelog.com/)
 and this project adheres to [Semantic Versioning](http://semver.org/).
 
-## Unreleased
+## 1.0.0-alpha.2 - 2026-07-27
 
 ### Added
 
@@ -14,7 +14,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
   * `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`; 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.
+* 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.
 

Cargo.toml

@@ -18,7 +18,7 @@ exclude = [
 resolver = "2"
 
 [workspace.package]
-version = "1.0.0-alpha.1"
+version = "1.0.0-alpha.2"
 authors = ["Chris Tsang <chris.2y3@outlook.com>"]
 edition = "2024"
 license = "MIT OR Apache-2.0"

README.md

@@ -169,7 +169,7 @@ cargo install vtracer-cli
 You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.
 
 ```sh
-cargo add vtracer@1.0.0-alpha.1
+cargo add vtracer@1.0.0-alpha.2
 ```
 
 ```rust
@@ -199,7 +199,7 @@ let seg = pipeline.segment(&img)?;        // the expensive part
 let doc = pipeline.finish(&seg)?;         // VectorDoc, ready to serialize
 ```
 
-See [docs.rs/vtracer](https://docs.rs/vtracer/1.0.0-alpha.1/vtracer/) for the full API.
+See [docs.rs/vtracer](https://docs.rs/vtracer/1.0.0-alpha.2/vtracer/) for the full API.
 
 ### Python Library
 
@@ -238,7 +238,7 @@ See [`crates/vtracer-py`](crates/vtracer-py/README.md) for the full API.
 [`@visioncortex/vtracer`](https://www.npmjs.com/package/@visioncortex/vtracer) is available for Node as a WebAssembly build (from the [`nodejs`](nodejs/README.md) package) — image decoding and vectorization both run in wasm, so there is **no native dependency**. Decodes PNG, JPEG, GIF, BMP, and WebP; for other formats, decode yourself and pass raw RGBA to `convertPixels`.
 
 ```sh
-npm install @visioncortex/vtracer@1.0.0-alpha.1
+npm install @visioncortex/vtracer@1.0.0-alpha.2
 ```
 
 ```js

crates/vtracer-cli/Cargo.toml

@@ -15,7 +15,7 @@ name = "vtracer"
 path = "src/main.rs"
 
 [dependencies]
-vtracer = { version = "1.0.0-alpha.1", path = "../vtracer" }
+vtracer = { version = "1.0.0-alpha.2", path = "../vtracer" }
 visioncortex.workspace = true
 # Decode-only: trimmed to real input formats (drops the AV1 encoder + OpenEXR).
 image = { version = "0.25", default-features = false, features = [

crates/vtracer-py/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "vtracer-py"
 description = "Python bindings for the vtracer vectorization framework."
-version = "1.0.0-alpha.1"
+version = "1.0.0-alpha.2"
 authors = ["Chris Tsang <tyt2y7@gmail.com>"]
 edition = "2024"
 license = "MIT OR Apache-2.0"
@@ -18,7 +18,7 @@ name = "vtracer"
 crate-type = ["cdylib"]
 
 [dependencies]
-vtracer = { version = "1.0.0-alpha.1", path = "../vtracer" }
+vtracer = { version = "1.0.0-alpha.2", path = "../vtracer" }
 # Decode-only: trimmed to real input formats (drops the AV1 encoder + OpenEXR).
 image = { version = "0.25", default-features = false, features = [
     "png", "jpeg", "gif", "bmp", "webp", "tiff", "ico", "pnm", "tga", "qoi",

nodejs/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "vtracer-wasm"
 description = "WebAssembly core for the vtracer Node.js package."
-version = "1.0.0-alpha.1"
+version = "1.0.0-alpha.2"
 authors = ["Chris Tsang <tyt2y7@gmail.com>"]
 edition = "2024"
 license = "MIT OR Apache-2.0"
@@ -15,7 +15,7 @@ repository = "https://github.com/visioncortex/vtracer/"
 crate-type = ["cdylib"]
 
 [dependencies]
-vtracer = { version = "1.0.0-alpha.1", path = "../crates/vtracer" }
+vtracer = { version = "1.0.0-alpha.2", path = "../crates/vtracer" }
 wasm-bindgen = "0.2"
 serde = { version = "1", features = ["derive"] }
 serde-wasm-bindgen = "0.6"

nodejs/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@visioncortex/vtracer",
-  "version": "1.0.0-alpha.1",
+  "version": "1.0.0-alpha.2",
   "description": "Raster to vector graphics converter (SVG). WebAssembly build of the vtracer framework — no native dependencies.",
   "main": "index.js",
   "types": "index.d.ts",