Python bindings sep 2023 (#52)

* Added maturin-based Python binding, to be deployed to https://pypi.org/project/vtracer/

* Removed poetry mentions from pyproject.toml, added README_PY.md for use on PYPI

* ->   v0.6.1
-> moved Python bindings to bottom of converter.rs

* - README_PY.md needed to be inside the cmdapp directory to display on PyPi.irg
->  v0.6.3
This commit is contained in:
Evan Jones
2023-09-08 06:43:13 -05:00
committed by GitHub
parent d5dfa9fd73
commit c3090ac50b
11 changed files with 363 additions and 26 deletions

120
.github/workflows/CI.yml vendored Normal file
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@@ -0,0 +1,120 @@
# This file is autogenerated by maturin v1.2.3
# To update, run
#
# maturin generate-ci github
#
name: CI
on:
push:
branches:
- main
- master
tags:
- '*'
pull_request:
workflow_dispatch:
permissions:
contents: read
jobs:
linux:
runs-on: ubuntu-latest
strategy:
matrix:
target: [x86_64, x86, aarch64, armv7, s390x, ppc64le]
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Build wheels
uses: PyO3/maturin-action@v1
with:
target: ${{ matrix.target }}
args: --release --out dist --find-interpreter
sccache: 'true'
manylinux: auto
- name: Upload wheels
uses: actions/upload-artifact@v3
with:
name: wheels
path: dist
windows:
runs-on: windows-latest
strategy:
matrix:
target: [x64, x86]
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.10'
architecture: ${{ matrix.target }}
- name: Build wheels
uses: PyO3/maturin-action@v1
with:
target: ${{ matrix.target }}
args: --release --out dist --find-interpreter
sccache: 'true'
- name: Upload wheels
uses: actions/upload-artifact@v3
with:
name: wheels
path: dist
macos:
runs-on: macos-latest
strategy:
matrix:
target: [x86_64, aarch64]
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Build wheels
uses: PyO3/maturin-action@v1
with:
target: ${{ matrix.target }}
args: --release --out dist --find-interpreter
sccache: 'true'
- name: Upload wheels
uses: actions/upload-artifact@v3
with:
name: wheels
path: dist
sdist:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Build sdist
uses: PyO3/maturin-action@v1
with:
command: sdist
args: --out dist
- name: Upload sdist
uses: actions/upload-artifact@v3
with:
name: wheels
path: dist
release:
name: Release
runs-on: ubuntu-latest
if: "startsWith(github.ref, 'refs/tags/')"
needs: [linux, windows, macos, sdist]
steps:
- uses: actions/download-artifact@v3
with:
name: wheels
- name: Publish to PyPI
uses: PyO3/maturin-action@v1
env:
MATURIN_PYPI_TOKEN: ${{ secrets.PYPI_API_TOKEN }}
with:
command: upload
args: --non-interactive --skip-existing *

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@@ -3,4 +3,5 @@
members = [
"cmdapp",
"webapp",
]
]
resolver = "2"

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@@ -1,28 +1,23 @@
Version 0.4.0 (2021-07-23)
==========================
# Version 0.6.0 (2023-09-08)
- SVG path string numeric precision
- Python bindings
# Version 0.4.0 (2021-07-23)
Version 0.3.0 (2021-01-24)
==========================
- SVG path string numeric precision
- Added cutout mode
# Version 0.3.0 (2021-01-24)
- Added cutout mode
Version 0.2.0 (2020-11-15)
==========================
# Version 0.2.0 (2020-11-15)
- Use relative & closed paths
- Use relative & closed paths
# Version 0.1.1 (2020-11-01)
Version 0.1.1 (2020-11-01)
==========================
- SVG namespace
- SVG namespace
# Version 0.1.0 (2020-10-31)
Version 0.1.0 (2020-10-31)
==========================
- Initial release
- Initial release

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@@ -1,8 +1,8 @@
[package]
name = "vtracer"
version = "0.5.0"
version = "0.6.3"
authors = ["Chris Tsang <tyt2y7@gmail.com>"]
edition = "2018"
edition = "2021"
description = "A cmd app to convert images into vector graphics."
license = "MIT OR Apache-2.0"
homepage = "http://www.visioncortex.org/vtracer"
@@ -14,4 +14,14 @@ keywords = ["svg", "computer-graphics"]
clap = "2.33.3"
image = "0.23.10"
visioncortex = { version = "0.8.0" }
fastrand = "1.8"
fastrand = "1.8"
pyo3 = "0.19.0"
[lib]
name = "vtracer"
crate-type = ["cdylib"]
path = "src/lib.rs"
[[bin]]
name = "vtracer"
path = "src/main.rs"

28
cmdapp/pyproject.toml Normal file
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@@ -0,0 +1,28 @@
[project]
name = "vtracer"
version = "0.6.3"
description = "Python bindings for the Rust Vtracer raster-to-vector library"
authors = [ { name = "Chris Tsang", email = "tyt2y7@gmail.com" } ]
readme = "vtracer/README_PY.md"
requires-python = ">=3.7"
license = "MIT"
classifiers = [
"Programming Language :: Rust",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
]
[dependencies]
python = "^3.7"
[dev-dependencies]
maturin = "^1.2"
[build-system]
requires = ["maturin>=1.2,<2.0"]
build-backend = "maturin"
[tool.maturin]
features = ["pyo3/extension-module"]
compatibility = "linux"
sdist-include = ["../LICENSE", "../README_PY.md"]

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@@ -1,8 +1,9 @@
use std::path::PathBuf;
use std::{fs::File, io::Write};
use pyo3::prelude::*;
use fastrand::Rng;
use visioncortex::{Color, ColorImage, ColorName};
use visioncortex::{Color, ColorImage, ColorName, PathSimplifyMode};
use visioncortex::color_clusters::{Runner, RunnerConfig, KeyingAction, HIERARCHICAL_MAX};
use super::config::{Config, ColorMode, Hierarchical, ConverterConfig};
use super::svg::SvgFile;
@@ -224,5 +225,84 @@ fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
write!(&mut out_file, "{}", svg).expect("failed to write file.");
Ok(())
}
// ==================
// = PYTHON BINDING =
// ==================
#[pyfunction]
fn convert_image_to_svg_py( image_path: &str,
out_path: &str,
colormode: Option<&str>, // "color" or "binary"
hierarchical: Option<&str>, // "stacked" or "cutout"
mode: Option<&str>, // "polygon", "spline", "none"
filter_speckle: Option<usize>, // default: 4
color_precision: Option<i32>, // default: 6
layer_difference: Option<i32>, // default: 16
corner_threshold: Option<i32>, // default: 60
length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
max_iterations: Option<usize>, // default: 10
splice_threshold: Option<i32>, // default: 45
path_precision: Option<u32> // default: 8
) -> PyResult<()> {
let input_path = PathBuf::from(image_path);
let output_path = PathBuf::from(out_path);
// TODO: enforce color mode with an enum so that we only
// accept the strings 'color' or 'binary'
let color_mode = match colormode.unwrap_or("color") {
"color" => ColorMode::Color,
"binary" => ColorMode::Binary,
_ => ColorMode::Color,
};
let hierarchical = match hierarchical.unwrap_or("stacked") {
"stacked" => Hierarchical::Stacked,
"cutout" => Hierarchical::Cutout,
_ => Hierarchical::Stacked,
};
let mode = match mode.unwrap_or("spline") {
"spline" => PathSimplifyMode::Spline,
"polygon" => PathSimplifyMode::Polygon,
"none" => PathSimplifyMode::None,
_ => PathSimplifyMode::Spline,
};
let filter_speckle = filter_speckle.unwrap_or(4);
let color_precision = color_precision.unwrap_or(6);
let layer_difference = layer_difference.unwrap_or(16);
let corner_threshold = corner_threshold.unwrap_or(60);
let length_threshold = length_threshold.unwrap_or(4.0);
let splice_threshold = splice_threshold.unwrap_or(45);
let max_iterations = max_iterations.unwrap_or(10);
let config = Config {
input_path,
output_path,
color_mode,
hierarchical,
filter_speckle,
color_precision,
layer_difference,
mode,
corner_threshold,
length_threshold,
max_iterations,
splice_threshold,
path_precision,
..Default::default()
};
convert_image_to_svg(config).unwrap();
Ok(())
}
/// A Python module implemented in Rust.
#[pymodule]
fn vtracer(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_function(wrap_pyfunction!(convert_image_to_svg_py, m)?)?;
Ok(())
}

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@@ -1,8 +1,10 @@
use vtracer::{Config, convert_image_to_svg};
mod config;
mod converter;
mod svg;
fn main() {
let config = Config::from_args();
let result = convert_image_to_svg(config);
let config = config::Config::from_args();
let result = converter::convert_image_to_svg(config);
match result {
Ok(()) => {
println!("Conversion successful.");

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@@ -0,0 +1,83 @@
<div align="center">
<img src="https://github.com/visioncortex/vtracer/raw/master/docs/images/visioncortex-banner.png">
<h1>VTracer</h1>
<p>
<strong>Raster to Vector Graphics Converter built on top of visioncortex: Python Binding</strong>
</p>
<h3>
<a href="//www.visioncortex.org/vtracer-docs">Article</a>
<span> | </span>
<a href="//www.visioncortex.org/vtracer/">Demo</a>
<span> | </span>
<a href="//github.com/visioncortex/vtracer/releases/latest">Download</a>
</h3>
<sub>Built with 🦀 by <a href="//www.visioncortex.org/">The Vision Cortex Research Group</a></sub>
</div>
## Introduction
visioncortex VTracer is an open source software to convert raster images (like jpg & png) into vector graphics (svg). It can vectorize graphics and photographs and trace the curves to output compact vector files.
Comparing to [Potrace](http://potrace.sourceforge.net/) which only accept binarized inputs (Black & White pixmap), VTracer has an image processing pipeline which can handle colored high resolution scans.
Comparing to Adobe Illustrator's [Image Trace](https://helpx.adobe.com/illustrator/using/image-trace.html), VTracer's output is much more compact (less shapes) as we adopt a stacking strategy and avoid producing shapes with holes.
VTracer is originally designed for processing high resolution scans of historic blueprints up to gigapixels. At the same time, VTracer can also handle low resolution pixel art, simulating `image-rendering: pixelated` for retro game artworks.
A technical description of the algorithm is on [visioncortex.org/vtracer-docs](//www.visioncortex.org/vtracer-docs).
## Install (Python)
```shell
pip install vtracer
```
### Usage (Python)
```python
import vtracer
input_path = "/path/to/some_file.jpg"
output_path = "/path/to/some_file.vtracer.jpg"
# Minimal example: use all default values, generate a multicolor SVG
vtracer.convert_image_to_svg_py(inp, out)
# Single-color example. Good for line art, and much faster than full color:
vtracer.convert_image_to_svg_py(inp, out, colormode='binary')
# All the bells & whistles
vtracer.convert_image_to_svg_py(inp,
out,
colormode = 'color', # ["color"] or "binary"
hierarchical = 'stacked', # ["stacked"] or "cutout"
mode = 'spline', # ["spline"] "polygon", or "none"
filter_speckle = 4, # default: 4
color_precision = 6, # default: 6
layer_difference = 16, # default: 16
corner_threshold = 60, # default: 60
length_threshold = 4.0, # in [3.5, 10] default: 4.0
max_iterations = 10, # default: 10
splice_threshold = 45, # default: 45
path_precision = 3 # default: 8
)
```
## Web App
VTracer and its [core library](//github.com/visioncortex/visioncortex) is implemented in [Rust](//www.rust-lang.org/). It provides us a solid foundation to develop robust and efficient algorithms and easily bring it to interactive applications. The webapp is a perfect showcase of the capability of the Rust + wasm platform.
![screenshot](docs/images/screenshot-01.png)
![screenshot](docs/images/screenshot-02.png)
## Rust Library
The (Rust) library can be found on [crates.io/vtracer](//crates.io/crates/vtracer) and [crates.io/vtracer-webapp](//crates.io/crates/vtracer-webapp).

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@@ -0,0 +1 @@
from .vtracer import convert_image_to_svg_py

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@@ -0,0 +1,17 @@
from typing import Optional
def convert_image_to_svg_py(image_path: str,
out_path: str,
colormode: Optional[str] = None, # ["color"] or "binary"
hierarchical: Optional[str] = None, # ["stacked"] or "cutout"
mode: Optional[str] = None, # ["spline"], "polygon", "none"
filter_speckle: Optional[int] = None, # default: 4
color_precision: Optional[int] = None, # default: 6
layer_difference: Optional[int] = None, # default: 16
corner_threshold: Optional[int] = None, # default: 60
length_threshold: Optional[float] = None, # in [3.5, 10] default: 4.0
max_iterations: Optional[int] = None, # default: 10
splice_threshold: Optional[int] = None, # default: 45
path_precision: Optional[int] = None, # default: 8
) -> None:
...

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@@ -2,7 +2,7 @@
name = "vtracer-webapp"
version = "0.4.0"
authors = ["Chris Tsang <tyt2y7@gmail.com>"]
edition = "2018"
edition = "2021"
description = "A web app to convert images into vector graphics."
license = "MIT OR Apache-2.0"
homepage = "http://www.visioncortex.org/vtracer"