0.6.1

* - Cargo.toml:  add `crate-type = ["cdylib"] to [lib]; lacking this is what was causing the executable to be put in wheels
- pyproject.toml: add "python-binding" to features for conditional compilation
- main.rs:  `cargo build` was failing for the vtracer executable; I think the previous import scheme had an implicit dependency on the library being built and called 'vtracer'. The other way to do this would have been to add an explicit dependency to the [[bin]], but making explicit imports here solves things directly

* re-enable linux builds; features are defined in the pyproject.toml now rather than in the workflow arguments

* And publish Linux, too!

.github/workflows/python.yml

@@ -3,7 +3,7 @@
 #
 #    maturin generate-ci github
 #
-name: CI
+name: python
 
 on:
   push:
@@ -30,7 +30,7 @@ jobs:
         uses: PyO3/maturin-action@v1
         with:
           target: ${{ matrix.target }}
-          args: --release --out dist --find-interpreter
+          args: -m cmdapp/Cargo.toml --release --out dist --find-interpreter
           sccache: 'true'
           manylinux: auto
       - name: Upload wheels
@@ -54,7 +54,7 @@ jobs:
         uses: PyO3/maturin-action@v1
         with:
           target: ${{ matrix.target }}
-          args: --release --out dist --find-interpreter
+          args: -m cmdapp/Cargo.toml --release --out dist --find-interpreter
           sccache: 'true'
       - name: Upload wheels
         uses: actions/upload-artifact@v3
@@ -76,7 +76,7 @@ jobs:
         uses: PyO3/maturin-action@v1
         with:
           target: ${{ matrix.target }}
-          args: --release --out dist --find-interpreter
+          args: -m cmdapp/Cargo.toml --release --out dist --find-interpreter
           sccache: 'true'
       - name: Upload wheels
         uses: actions/upload-artifact@v3
@@ -92,7 +92,7 @@ jobs:
         uses: PyO3/maturin-action@v1
         with:
           command: sdist
-          args: --out dist
+          args: -m cmdapp/Cargo.toml --out dist
       - name: Upload sdist
         uses: actions/upload-artifact@v3
         with:
@@ -102,16 +102,20 @@ jobs:
   release:
     name: Release
     runs-on: ubuntu-latest
+    # Specifying a GitHub environment is optional, but strongly encouraged
+    environment: python
+    permissions:
+      # IMPORTANT: this permission is mandatory for trusted publishing
+      id-token: write
     if: "startsWith(github.ref, 'refs/tags/')"
-    needs: [linux, windows, macos, sdist]
+    needs: [windows, macos, sdist, linux] 
     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 *
+          # manylinux: auto

CHANGELOG.md

@@ -5,13 +5,19 @@ 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/).
 
-## 0.6.0 - 2023-09-08
+## 0.6.1 - 2023-09-23
 
-* Python Binding
+* Fixed "The two lines are parallel!"
+
+### Python Binding
+
+Thanks to the contribution of [@etjones](https://github.com/etjones), we now have an official Python binding! https://github.com/visioncortex/vtracer/pull/55
+
+https://pypi.org/project/vtracer/0.6.10/
 
 ## 0.5.0 - 2022-10-09
 
-* Handle transparent png images (cli) (#23)
+* Handle transparent png images (cli) https://github.com/visioncortex/vtracer/pull/23
 
 ## 0.4.0 - 2021-07-23
 
@@ -25,6 +31,10 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
 
 * Use relative & closed paths
 
+## 0.1.1 - 2020-11-01
+
+* SVG namespace
+
 ## 0.1.0 - 2020-10-31
 
 * Initial release

README.md

@@ -8,14 +8,14 @@
   </p>
 
   <h3>
-    <a href="//www.visioncortex.org/vtracer-docs">Article</a>
+    <a href="https://www.visioncortex.org/vtracer-docs">Article</a>
     <span> | </span>
-    <a href="//www.visioncortex.org/vtracer/">Demo</a>
+    <a href="https://www.visioncortex.org/vtracer/">Demo</a>
     <span> | </span>
-    <a href="//github.com/visioncortex/vtracer/releases/latest">Download</a>
+    <a href="https://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>
+  <sub>Built with 🦀 by <a href="https://www.visioncortex.org/">The Vision Cortex Research Group</a></sub>
 </div>
 
 ## Introduction
@@ -28,7 +28,7 @@ Comparing to Adobe Illustrator's [Image Trace](https://helpx.adobe.com/illustrat
 
 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).
+A technical description of the algorithm is on [visioncortex.org/vtracer-docs](https://www.visioncortex.org/vtracer-docs).
 
 ## Web App
 
@@ -41,7 +41,7 @@ VTracer and its [core library](//github.com/visioncortex/visioncortex) is implem
 ## Cmd App
 
 ```sh
-visioncortex VTracer 0.4.0
+visioncortex VTracer 0.6.0
 A cmd app to convert images into vector graphics.
 
 USAGE:
@@ -71,30 +71,41 @@ OPTIONS:
     -s, --splice_threshold <splice_threshold>    Minimum angle displacement (degree) to splice a spline
 ```
 
-### Usage
+### Install
+
+You can download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
+
+You can also install the program from source from [crates.io/vtracer](https://crates.io/crates/vtracer):
+
+```sh
+cargo install vtracer
 ```
+
+### Usage
+
+```sh
 ./vtracer --input input.jpg --output output.svg
 ```
 
-## Library
+## Rust Library
 
-The library can be found on [crates.io/vtracer](//crates.io/crates/vtracer) and [crates.io/vtracer-webapp](//crates.io/crates/vtracer-webapp).
-
-## Install
-
-Download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
-
-or
-
-Install from source (Rust toolchain needed):
+You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.
 
+```sh
+cargo add vtracer
 ```
-cargo install vtracer
+
+## Python Library
+
+Since `0.6`, [`vtracer`](https://pypi.org/project/vtracer/) is also packaged as Python native extensions, thanks to the awesome [pyo3](https://github.com/PyO3/pyo3) project.
+
+```sh
+pip install vtracer
 ```
 
 ## In the wild
 
-VTracer is used by the following products (feel free to add yours to the list):
+VTracer is used by the following projects (feel free to add yours!):
 
 <table>
   <tbody>
@@ -106,3 +117,15 @@ VTracer is used by the following products (feel free to add yours to the list):
     </tr>
   </tbody>
 </table>
+
+## What's next?
+
+There are several things in my mind:
+
+1. Pencil tracing. Instead of tracing shapes as closed paths, may be we can attempt to skeletonize the shapes as open paths. The output would be clean, fixed width strokes.
+
+2. Perfect cut-out mode. Right now in cut-out mode, the shapes do not share perfect boundaries, but have seams.
+
+3. Image cleaning. Right now the tracer works best on losslessly compressed pngs. If an image suffered from jpeg noises, it could impact the tracing quality. We might be able to develop a pre-filtering pass that denoises the input.
+
+If you are interested in working on them or willing to sponsor its development, feel free to get in touch.

cmdapp/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "vtracer"
-version = "0.6.3"
+version = "0.6.1"
 authors = ["Chris Tsang <chris.2y3@outlook.com>"]
 edition = "2021"
 description = "A cmd app to convert images into vector graphics."
@@ -13,9 +13,13 @@ keywords = ["svg", "computer-graphics"]
 [dependencies]
 clap = "2.33.3"
 image = "0.23.10"
-visioncortex = { version = "0.8.0" }
+visioncortex = { version = "0.8.1" }
 fastrand = "1.8"
 pyo3 = { version = "0.19.0", optional = true }
 
 [features]
-python-binding = ["pyo3"]
+python-binding = ["pyo3"]
+
+[lib]
+name = "vtracer"
+crate-type = ["cdylib"]

cmdapp/README.md

@@ -0,0 +1,96 @@
+<div align="center">
+
+  <img src="https://raw.githubusercontent.com/visioncortex/vtracer/master/docs/images/visioncortex-banner.png">
+  <h1>VTracer</h1>
+
+  <p>
+    <strong>Raster to Vector Graphics Converter built on top of visioncortex</strong>
+  </p>
+
+  <h3>
+    <a href="https://www.visioncortex.org/vtracer-docs">Article</a>
+    <span> | </span>
+    <a href="https://www.visioncortex.org/vtracer/">Demo</a>
+    <span> | </span>
+    <a href="https://github.com/visioncortex/vtracer/releases/latest">Download</a>
+  </h3>
+
+  <sub>Built with 🦀 by <a href="https://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](https://www.visioncortex.org/vtracer-docs).
+
+## Cmd App
+
+```sh
+visioncortex VTracer 0.6.0
+A cmd app to convert images into vector graphics.
+
+USAGE:
+    vtracer [OPTIONS] --input <input> --output <output>
+
+FLAGS:
+    -h, --help       Prints help information
+    -V, --version    Prints version information
+
+OPTIONS:
+        --colormode <color_mode>                 True color image `color` (default) or Binary image `bw`
+    -p, --color_precision <color_precision>      Number of significant bits to use in an RGB channel
+    -c, --corner_threshold <corner_threshold>    Minimum momentary angle (degree) to be considered a corner
+    -f, --filter_speckle <filter_speckle>        Discard patches smaller than X px in size
+    -g, --gradient_step <gradient_step>          Color difference between gradient layers
+        --hierarchical <hierarchical>
+            Hierarchical clustering `stacked` (default) or non-stacked `cutout`. Only applies to color mode.
+
+    -i, --input <input>                          Path to input raster image
+    -m, --mode <mode>                            Curver fitting mode `pixel`, `polygon`, `spline`
+    -o, --output <output>                        Path to output vector graphics
+        --path_precision <path_precision>        Number of decimal places to use in path string
+        --preset <preset>                        Use one of the preset configs `bw`, `poster`, `photo`
+    -l, --segment_length <segment_length>
+            Perform iterative subdivide smooth until all segments are shorter than this length
+
+    -s, --splice_threshold <splice_threshold>    Minimum angle displacement (degree) to splice a spline
+```
+
+### Install
+
+You can download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
+
+You can also install the program from source from [crates.io/vtracer](https://crates.io/crates/vtracer):
+
+```sh
+cargo install vtracer
+```
+
+### Usage
+
+```sh
+./vtracer --input input.jpg --output output.svg
+```
+
+## Rust Library
+
+You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.
+
+```sh
+cargo add vtracer
+```
+
+## Python Library
+
+Since `0.6`, [`vtracer`](https://pypi.org/project/vtracer/) is also packaged as Python native extensions, thanks to the awesome [pyo3](https://github.com/PyO3/pyo3) project.
+
+```sh
+pip install vtracer
+```

cmdapp/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "vtracer"
-version = "0.6.3"
+version = "0.6.10"
 description = "Python bindings for the Rust Vtracer raster-to-vector library"
 authors = [ { name = "Chris Tsang",  email = "chris.2y3@outlook.com" } ]
 readme = "vtracer/README.md"
@@ -23,6 +23,6 @@ requires = ["maturin>=1.2,<2.0"]
 build-backend = "maturin"
 
 [tool.maturin]
-features = ["pyo3/extension-module"]
-compatibility = "linux"
-sdist-include = ["../LICENSE", "../README.md"]
+features = ["pyo3/extension-module", "python-binding"]
+compatibility = "manylinux2014"
+sdist-include = ["LICENSE-MIT", "vtracer/README.md"]

cmdapp/src/lib.rs

@@ -1,4 +1,4 @@
-// Copyright 2020 Tsang Hao Fung. See the COPYRIGHT
+// Copyright 2023 Tsang Hao Fung. See the COPYRIGHT
 // file at the top-level directory of this distribution and at
 // http://rust-lang.org/COPYRIGHT.
 //

cmdapp/src/main.rs

@@ -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.");

cmdapp/src/python.rs

@@ -1,28 +1,29 @@
+use crate::*;
 use pyo3::prelude::*;
-
-use visioncortex::{PathSimplifyMode};
-use super::converter::*;
+use std::path::PathBuf;
+use visioncortex::PathSimplifyMode;
 
 /// 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<()> {
+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 
+    // 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,
@@ -35,7 +36,7 @@ fn convert_image_to_svg_py( image_path: &str,
         "cutout" => Hierarchical::Cutout,
         _ => Hierarchical::Stacked,
     };
-    
+
     let mode = match mode.unwrap_or("spline") {
         "spline" => PathSimplifyMode::Spline,
         "polygon" => PathSimplifyMode::Polygon,
@@ -43,13 +44,13 @@ fn convert_image_to_svg_py( image_path: &str,
         _ => 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 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,
@@ -65,10 +66,9 @@ fn convert_image_to_svg_py( image_path: &str,
         max_iterations,
         splice_threshold,
         path_precision,
-        ..Default::default()                
+        ..Default::default()
     };
 
-
     convert_image_to_svg(config).unwrap();
     Ok(())
 }
@@ -78,4 +78,4 @@ fn convert_image_to_svg_py( image_path: &str,
 fn vtracer(_py: Python, m: &PyModule) -> PyResult<()> {
     m.add_function(wrap_pyfunction!(convert_image_to_svg_py, m)?)?;
     Ok(())
-}
+}

cmdapp/src/svg.rs

@@ -34,6 +34,7 @@ impl SvgFile {
 impl fmt::Display for SvgFile {
     fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
         writeln!(f, r#"<?xml version="1.0" encoding="UTF-8"?>"#)?;
+        writeln!(f, r#"<!-- Generator: visioncortex VTracer {} -->"#, env!("CARGO_PKG_VERSION"))?;
         writeln!(f,
             r#"<svg version="1.1" xmlns="http://www.w3.org/2000/svg" width="{}" height="{}">"#,
             self.width, self.height

docs/images/filestar-logo.svg

@@ -1,44 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<!-- Generator: Adobe Illustrator 19.2.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
-<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
-	 viewBox="0 0 1783.4 441.4" style="enable-background:new 0 0 1783.4 441.4;" xml:space="preserve">
-<style type="text/css">
-	.st0{fill:#A1FCFE;}
-	.st1{fill:#010357;}
-</style>
-<rect class="st0" width="1783.4" height="441.4"/>
-<g>
-	<path class="st1" d="M61.4,393.2V73.8H250V113H109v100.4h124.2v39.7H109v140.1L61.4,393.2L61.4,393.2z"/>
-	<path class="st1" d="M280,393.2V159.7h45.3v233.5L280,393.2L280,393.2z M330.9,92.4c0-15.5-12.5-28-28-28s-28,12.5-28,28
-		s12.5,28,28,28S330.9,107.9,330.9,92.4z"/>
-	<path class="st1" d="M383.5,338.6V57.9h45.3v278.8c0,21,3.7,26.1,18.7,26.1c6.1,0,11.7-0.5,16.8-1.4v30.4
-		c-9.8,2.8-20.1,4.2-29.9,4.2C400.3,396,383.5,376.9,383.5,338.6z"/>
-	<path class="st1" d="M480.6,275.5c0-78.5,41.6-121.4,110.2-121.4c31.3,0,55.6,9.8,72.9,29.9c17.3,19.6,26.2,45.3,26.2,77.5
-		c0,7-0.5,14.9-1.9,24.3H525.4c0.9,50.9,22.4,76.6,64.4,76.6c31.8,0,53.2-14.5,53.2-42H687c0,48.6-39.7,77.5-97.6,77.5
-		C521.7,397.9,480.6,357.3,480.6,275.5z M645,251.7c-0.9-41.6-19.6-62.1-55.6-62.1c-39.7,0-59.8,24.3-63.5,62.1H645z"/>
-	<path class="st1" d="M720.7,323.2h44.8c1.9,28.5,18.7,38.8,51.8,38.8c28.5,0,46.7-15,46.7-35c0-20.6-16.8-28.5-48.1-36l-13.1-2.8
-		l-14.5-3.7l-12.6-4.2c-6.1-1.9-10.7-3.3-13.1-4.7c-5.1-3.3-17.3-8.9-21.5-14.5c-7.5-8.9-15.4-21.5-14-38.8c0-21,8.4-37.8,25.2-50
-		c17.3-12.1,37.8-18.2,62.1-18.2c55.6,0,91.5,22.4,91.5,72.4h-43c-0.5-26.6-16.8-36.4-49-36.4c-24.3,0-40.6,11.2-40.6,31.3
-		c0,18.7,15.9,25.7,49,33.6l5.6,1.4c10.3,2.3,18.2,4.7,23.3,6.1c5.1,1.4,12.1,4.2,21,8.4c23.8,10.3,34.6,25.7,36.9,56
-		c0,43.4-37.8,71-92.5,71C754.8,397.9,720.7,371.7,720.7,323.2z"/>
-	<path class="st1" d="M964,336.7V192.4h-39.2v-32.7h39.7V94.3h44.8v65.4h64v32.7h-64v143.4c0,17.3,8.9,25.7,26.2,25.7
-		c14.5,0,28-1.9,39.7-5.1v34.6c-13.6,4.2-28,6.1-43.4,6.1C986.9,397,964,375.5,964,336.7z"/>
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