Publish desktop updater 1.0.0-alpha.3

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VTracer Release Bot
2026-08-02 01:15:17 +01:00
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# vtracer (Python)
Python bindings for the [`vtracer`](https://github.com/visioncortex/vtracer)
raster-to-vector framework. Built with [pyo3](https://pyo3.rs) +
[maturin](https://www.maturin.rs); the core Rust crate stays pure (no I/O), and
this crate adds image decoding and a Pythonic API.
## Install
```sh
pip install vtracer==1.0.0a3
```
## Usage
```python
import vtracer
# one-liners
vtracer.convert_file("in.png", "out.svg")
svg = vtracer.convert_bytes(open("in.png", "rb").read()) # -> str
svg = vtracer.convert_pixels(rgba_bytes, width, height) # raw RGBA8
# a rich, reusable configuration object
cfg = vtracer.Config(mode="polygon", filter_speckle=8)
cfg.hierarchical = "cutout" # seam-free mosaic
cfg.palette = ["#1b1b1b", "#e0c088", "#5a7d3c"] # snap to a fixed palette
cfg.max_colors = 8 # or auto-quantize
cfg.optimize = 2
svg = cfg.convert_bytes(data)
# presets
vtracer.Config.poster().convert_file("photo.jpg", "poster.svg")
vtracer.Config.bw().convert_file("scan.png", "lineart.svg")
```
### `Config`
Constructor keyword arguments (all optional) — also exposed as mutable
properties, plus the presets `Config.bw()`, `Config.poster()`, `Config.photo()`:
| arg | default | notes |
|---|---|---|
| `clustering` | `"color-cluster"` | `"color-cluster"`, `"bw"`, or `"watershed"` |
| `hierarchical` | `"stacked"` | `"stacked"` or `"cutout"` (mosaic) |
| `mode` | `"spline"` | `"pixel"`, `"polygon"`, `"spline"` |
| `filter_speckle` | `4` | discard patches smaller than X px |
| `color_precision` | `6` | significant bits per channel |
| `layer_difference` | `16` | color diff between gradient layers |
| `corner_threshold` | `60` | degrees |
| `length_threshold` | `4.0` | px |
| `max_iterations` | `10` | |
| `splice_threshold` | `45` | degrees |
| `simplify` | `None` | curve simplification tolerance in px (try 1–2.5) |
| `path_precision` | `2` | output decimal places |
| `palette` | `None` | list of `#rrggbb` strings |
| `max_colors` | `None` | auto-quantize target |
| `optimize` | `1` | `0` off, `1` quantize+cleanup, `2` + shorthands |
| `binary_threshold` | `128` | bw: fixed cutoff, foreground below it |
| `adaptive` | `False` | bw: Bradley–Roth adaptive thresholding |
| `adaptive_window` | `0` | bw adaptive: window px (`0` = auto) |
| `adaptive_t` | `15.0` | bw adaptive: % below local mean |
| `watershed_detail` | `128` | watershed: hierarchy cut level 0..=255 |
Each `Config` has `convert_file(input, output)`, `convert_bytes(data, format=None) -> str`,
and `convert_pixels(rgba, width, height) -> str`.
## Build from source
```sh
maturin develop # into the active virtualenv
maturin build --release # produce a wheel
```