44 Commits

Author SHA1 Message Date
Chris Tsang 6fdfec8610 python 0.6.11 2024-05-02 22:58:11 +01:00
York 1aff9a300a Add support for conversion from python bytes (#79)
* Allow conversion from python bytes

* Update function name

* Add convert_pixels_to_svg python function

* Update README.md

* Update README.md
2024-05-02 22:24:56 +01:00
Chris Tsang ac0a89e08a README 2024-04-20 16:24:41 +01:00
Chris Tsang b09f71a2b5 LICENSE 2024-04-20 16:21:36 +01:00
Chris Tsang e4897dfe99 README 2024-04-20 16:16:57 +01:00
Chris Tsang 4544ca740d README 2024-04-20 16:14:21 +01:00
Chris Tsang 3d92586e33 Update CI script 2024-04-20 15:52:58 +01:00
Chris Tsang 725adf5364 Update README.md 2024-03-30 14:46:52 +00:00
Chris Tsang 05f82c7bb5 Test 2024-03-29 19:26:28 +00:00
Chris Tsang b7ac336b6d Add release script 2024-03-29 19:06:29 +00:00
Chris Tsang c03a8ffced 0.6.4 2024-03-29 19:01:16 +00:00
Chris Tsang 3223ba56ec Upgrade dependency 2024-03-29 18:59:55 +00:00
Chris Tsang ddb47e1ad4 Revert "Experiment with idealizing small circles"
This reverts commit c3012c6aef.
2024-03-29 18:58:06 +00:00
Chris Tsang 177797108d Changelog 2024-03-29 18:57:57 +00:00
Chris Tsang 370083f818 0.6.3 2024-03-29 18:57:57 +00:00
Chris Tsang c3012c6aef Experiment with idealizing small circles 2024-03-29 18:57:57 +00:00
Chris Tsang 2774fc06c9 Reduce default path precision 2023-11-12 23:05:45 +00:00
Chris Tsang fa7d021055 Readme 2023-11-12 20:39:25 +00:00
Chris Tsang cc43924601 cargo fmt 2023-11-12 20:38:01 +00:00
Chris Tsang 9dbbd100df Bump 2023-11-12 20:36:35 +00:00
linkmauve 37a2570f49 Add a function to do in-memory conversion (#59)
* Move path handling out of conversion functions

This lets us decouple file reading/writing from the actual conversion.

* Move Config::from_args() to main.rs

* Remove path support from Config

Instead the input_path and output_path have to be passed to
convert_image_to_svg() manually.

* Add a simplified convert() function

This lets the user convert an image from memory, without encoding it to
PNG, writing it to a file, then reopening this file and decoding it
using the image crate.

It also allows the user to not write a SVG directly to a file.
2023-11-13 04:28:05 +08:00
Chris Tsang b2cd1a9524 Expose as rlib too 2023-10-24 08:43:37 +01:00
Chris Tsang ac93bd4a51 Edit 2023-09-24 11:08:30 +01:00
Chris Tsang e62f071b34 Edit 2023-09-23 11:52:36 +01:00
Chris Tsang 884092a5b9 Edit 2023-09-23 11:49:54 +01:00
Chris Tsang 5f5a6c6648 README 2023-09-23 11:45:36 +01:00
Chris Tsang 022018beb2 0.6.1 2023-09-23 11:12:34 +01:00
Chris Tsang cc39c8c5ca README 2023-09-23 11:06:18 +01:00
Evan Jones fa1ab68ef3 Python Bindings. Again. No, really! (#55)
* - 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!
2023-09-23 02:10:04 +08:00
Chris Tsang b04738fd18 well 2023-09-16 19:38:07 +01:00
Chris Tsang 1080c562ce Try again 2023-09-16 19:27:30 +01:00
Chris Tsang e44e750721 try again 2023-09-16 19:09:20 +01:00
Chris Tsang 05f5b51db0 Add xml comment 2023-09-17 16:24:33 +01:00
Chris Tsang 68e8e7fdf1 Disable Linux for now 2023-09-17 15:47:55 +01:00
Chris Tsang f5cce867f2 python again 2023-09-16 17:59:52 +01:00
Chris Tsang 79dd451da1 Remove filestar
From my knowledge they are no longer using vtracer
2023-09-16 17:53:43 +01:00
Chris Tsang f71dd47907 python release 2023-09-16 17:47:04 +01:00
Chris Tsang 594125f737 Release notes 2023-09-16 15:31:36 +01:00
Chris Tsang 93e946f3c2 python release 2023-09-16 15:05:24 +01:00
Chris Tsang 914e4ab875 python release 2023-09-16 14:51:26 +01:00
Chris Tsang 95b8cbce6c Rename workflow 2023-09-16 14:40:29 +01:00
Chris Tsang b49158f24c Rename workflow 2023-09-16 14:40:17 +01:00
Chris Tsang f35df1f6b2 0.6.0 2023-09-16 14:35:49 +01:00
Evan Jones f4c7828049 Python bindings configured correctly for PyPI releases (#54)
* 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

* Move code around

* Edit Readme

* Edit RELEASES.md

* Feature guard

* Build wheels with the cmdapp/Cargo.toml rather than top-level Cargo.toml

* use cmdapp/Cargo.toml for all Maturin CI actions, which causes Github to build all platforms python wheels and submit a new release to PyPI

* Bump to 0.6.4 for new PyPI release with all platforms' wheels included

* PyPI didn't accept a 'linux_aarch64' wheel for a release. For the moment, remove the platform until I can convince the action to build 'manylinux_aarch64' or the like

* Version bump while I work out CI & PyPI release wrinkles

* Maturin authors say `compatibility = "linux"` in pyproject.toml is causing PyPI failure. Replacing with "manylinux2014"

* bump to v0.7.0 in preparation for release from original vtracer repo

---------

Co-authored-by: Chris Tsang <chris.2y3@outlook.com>
2023-09-17 06:24:13 +08:00
21 changed files with 875 additions and 493 deletions
@@ -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
+30
View File
@@ -0,0 +1,30 @@
name: Release
on:
release:
types: [published]
jobs:
release:
strategy:
matrix:
include:
- target: aarch64-unknown-linux-musl
os: ubuntu-latest
- target: x86_64-unknown-linux-musl
os: ubuntu-latest
- target: aarch64-apple-darwin
os: macos-latest
- target: x86_64-apple-darwin
os: macos-latest
- target: x86_64-pc-windows-msvc
os: windows-latest
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: taiki-e/upload-rust-binary-action@v1
with:
bin: vtracer
target: ${{ matrix.target }}
# (required) GitHub token for uploading assets to GitHub Releases.
token: ${{ secrets.GITHUB_TOKEN }}
+16 -3
View File
@@ -1,10 +1,23 @@
name: Rust
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
paths-ignore:
- '**.md'
- '.github/ISSUE_TEMPLATE/**'
push:
paths-ignore:
- '**.md'
- '.github/ISSUE_TEMPLATE/**'
branches:
- master
- 0.*.x
- pr/**/ci
- ci-*
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.ref || github.run_id }}
cancel-in-progress: true
env:
CARGO_TERM_COLOR: always
+21 -3
View File
@@ -5,13 +5,27 @@ 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
## 0.6.4 - 2024-03-29
* Python Binding
* Update `visioncortex` version to `0.8.8`
## 0.6.3 - 2023-11-21
* New converter API https://github.com/visioncortex/vtracer/pull/59
## 0.6.1 - 2023-09-23
* 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 +39,10 @@ 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
+1 -1
View File
@@ -1,4 +1,4 @@
Copyright (c) 2022 Tsang Hao Fung
Copyright (c) 2024 TSANG, Hao Fung
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
+67 -20
View File
@@ -8,27 +8,27 @@
</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/">Web App</a>
<span> | </span>
<a href="//github.com/visioncortex/vtracer/releases/latest">Download</a>
<a href="https://github.com/visioncortex/vtracer/releases">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
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 [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. tl;dr: Potrace uses a `O(n^2)` fitting algorithm, whereas `vtracer` is entirely `O(n)`.
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).
Technical descriptions of the [tracing algorithm](https://www.visioncortex.org/vtracer-docs) and [clustering algorithm](https://www.visioncortex.org/impression-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 +71,43 @@ OPTIONS:
-s, --splice_threshold <splice_threshold> Minimum angle displacement (degree) to splice a spline
```
### Usage
## Downloads
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
```
> You are strongly advised to not download from any other third-party sources
### 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 products (open a PR to add yours):
<table>
<tbody>
@@ -106,3 +119,37 @@ VTracer is used by the following products (feel free to add yours to the list):
</tr>
</tbody>
</table>
## Citations
VTracer has since been cited in a few academic papers. Please kindly let us know if you have cited our work:
+ [Framework to Vectorize Digital Artworks for Physical Fabrication based on Geometric Stylization Techniques](https://www.researchgate.net/publication/374448489_Framework_to_Vectorize_Digital_Artworks_for_Physical_Fabrication_based_on_Geometric_Stylization_Techniques)
+ [Image Vectorization: a Review](https://arxiv.org/pdf/2306.06441.pdf)
+ [StarVector: Generating Scalable Vector Graphics Code from Images](https://arxiv.org/abs/2312.11556)
## How did VTracer come about?
> The following content is an excerpt from my [unpublished memoir](https://github.com/visioncortex/memoir).
At my teenage, two open source projects in the vector graphics space inspired me the most: Potrace and Anti-Grain Geometry (AGG).
Many years later, in 2020, I was developing a video processing engine. And it became evident that it requires way more investment to be commercially viable. So before abandoning the project, I wanted to publish *something* as open-source for posterity. At that time, I already developed a prototype vector graphics tracer. It can convert high-resolution scans of hand-drawn blueprints into vectors. But it can only process black and white images, and can only output polygons, not splines.
The plan was to fully develop the vectorizer: to handle color images and output splines. I recruited a very talented intern, [@shpun817](https://github.com/shpun817), to work on VTracer. I grafted the frontend of the video processing engine - the ["The Clustering Algorithm"](https://www.visioncortex.org/impression-docs#the-clustering-algorithm) as the pre-processor.
Three months later, we published the first version on Reddit. Out of my surprise, the response of such an underwhelming project was overwhelming.
## What's next?
There are several things in my mind:
1. Path simplification. Implement a post-process filter to the output paths to further reduce the number of splines.
2. Perfect cut-out mode. Right now in cut-out mode, the shapes do not share boundaries perfectly, but have seams.
3. 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.
4. 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.
-27
View File
@@ -1,27 +0,0 @@
# Version 0.6.0 (2023-09-08)
- Python bindings
# Version 0.5.0 (2022-10-09)
- Handle transparent png images
# Version 0.4.0 (2021-07-23)
- SVG path string numeric precision
# Version 0.3.0 (2021-01-24)
- Added cutout mode
# Version 0.2.0 (2020-11-15)
- Use relative & closed paths
# Version 0.1.1 (2020-11-01)
- SVG namespace
# Version 0.1.0 (2020-10-31)
- Initial release
+7 -3
View File
@@ -1,6 +1,6 @@
[package]
name = "vtracer"
version = "0.6.3"
version = "0.6.4"
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 = "0.8.8" }
fastrand = "1.8"
pyo3 = { version = "0.19.0", optional = true }
[features]
python-binding = ["pyo3"]
python-binding = ["pyo3"]
[lib]
name = "vtracer"
crate-type = ["rlib", "cdylib"]
+1 -1
View File
@@ -1,4 +1,4 @@
Copyright (c) 2022 Tsang Hao Fung
Copyright (c) 2023 Tsang Hao Fung
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
+96
View File
@@ -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
```
+4 -4
View File
@@ -1,6 +1,6 @@
[project]
name = "vtracer"
version = "0.6.3"
version = "0.6.11"
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"]
+8 -237
View File
@@ -1,12 +1,10 @@
use std::str::FromStr;
use std::path::PathBuf;
use clap::{Arg, App};
use visioncortex::PathSimplifyMode;
pub enum Preset {
Bw,
Poster,
Photo
Photo,
}
pub enum ColorMode {
@@ -21,8 +19,6 @@ pub enum Hierarchical {
/// Converter config
pub struct Config {
pub input_path: PathBuf,
pub output_path: PathBuf,
pub color_mode: ColorMode,
pub hierarchical: Hierarchical,
pub filter_speckle: usize,
@@ -37,8 +33,6 @@ pub struct Config {
}
pub(crate) struct ConverterConfig {
pub input_path: PathBuf,
pub output_path: PathBuf,
pub color_mode: ColorMode,
pub hierarchical: Hierarchical,
pub filter_speckle_area: usize,
@@ -55,8 +49,6 @@ pub(crate) struct ConverterConfig {
impl Default for Config {
fn default() -> Self {
Self {
input_path: PathBuf::default(),
output_path: PathBuf::default(),
color_mode: ColorMode::Color,
hierarchical: Hierarchical::Stacked,
mode: PathSimplifyMode::Spline,
@@ -67,7 +59,7 @@ impl Default for Config {
length_threshold: 4.0,
splice_threshold: 45,
max_iterations: 10,
path_precision: Some(8),
path_precision: Some(2),
}
}
}
@@ -109,225 +101,10 @@ impl FromStr for Preset {
}
}
fn path_simplify_mode_from_str(s: &str) -> PathSimplifyMode {
match s {
"polygon" => PathSimplifyMode::Polygon,
"spline" => PathSimplifyMode::Spline,
"none" => PathSimplifyMode::None,
_ => panic!("unknown PathSimplifyMode {}", s),
}
}
impl Config {
pub fn from_args() -> Self {
let app = App::new("visioncortex VTracer ".to_owned() + env!("CARGO_PKG_VERSION"))
.about("A cmd app to convert images into vector graphics.");
let app = app.arg(Arg::with_name("input")
.long("input")
.short("i")
.takes_value(true)
.help("Path to input raster image")
.required(true));
let app = app.arg(Arg::with_name("output")
.long("output")
.short("o")
.takes_value(true)
.help("Path to output vector graphics")
.required(true));
let app = app.arg(Arg::with_name("color_mode")
.long("colormode")
.takes_value(true)
.help("True color image `color` (default) or Binary image `bw`"));
let app = app.arg(Arg::with_name("hierarchical")
.long("hierarchical")
.takes_value(true)
.help(
"Hierarchical clustering `stacked` (default) or non-stacked `cutout`. \
Only applies to color mode. "
));
let app = app.arg(Arg::with_name("preset")
.long("preset")
.takes_value(true)
.help("Use one of the preset configs `bw`, `poster`, `photo`"));
let app = app.arg(Arg::with_name("filter_speckle")
.long("filter_speckle")
.short("f")
.takes_value(true)
.help("Discard patches smaller than X px in size"));
let app = app.arg(Arg::with_name("color_precision")
.long("color_precision")
.short("p")
.takes_value(true)
.help("Number of significant bits to use in an RGB channel"));
let app = app.arg(Arg::with_name("gradient_step")
.long("gradient_step")
.short("g")
.takes_value(true)
.help("Color difference between gradient layers"));
let app = app.arg(Arg::with_name("corner_threshold")
.long("corner_threshold")
.short("c")
.takes_value(true)
.help("Minimum momentary angle (degree) to be considered a corner"));
let app = app.arg(Arg::with_name("segment_length")
.long("segment_length")
.short("l")
.takes_value(true)
.help("Perform iterative subdivide smooth until all segments are shorter than this length"));
let app = app.arg(Arg::with_name("splice_threshold")
.long("splice_threshold")
.short("s")
.takes_value(true)
.help("Minimum angle displacement (degree) to splice a spline"));
let app = app.arg(Arg::with_name("mode")
.long("mode")
.short("m")
.takes_value(true)
.help("Curver fitting mode `pixel`, `polygon`, `spline`"));
let app = app.arg(Arg::with_name("path_precision")
.long("path_precision")
.takes_value(true)
.help("Number of decimal places to use in path string"));
// Extract matches
let matches = app.get_matches();
let mut config = Config::default();
let input_path = matches.value_of("input").expect("Input path is required, please specify it by --input or -i.");
let output_path = matches.value_of("output").expect("Output path is required, please specify it by --output or -o.");
if let Some(value) = matches.value_of("preset") {
config = Self::from_preset(Preset::from_str(value).unwrap(), input_path, output_path);
}
config.input_path = PathBuf::from(input_path);
config.output_path = PathBuf::from(output_path);
if let Some(value) = matches.value_of("color_mode") {
config.color_mode = ColorMode::from_str(if value.trim() == "bw" || value.trim() == "BW" {"binary"} else {"color"}).unwrap()
}
if let Some(value) = matches.value_of("hierarchical") {
config.hierarchical = Hierarchical::from_str(value).unwrap()
}
if let Some(value) = matches.value_of("mode") {
let value = value.trim();
config.mode = path_simplify_mode_from_str(if value == "pixel" {
"none"
} else if value == "polygon" {
"polygon"
} else if value == "spline" {
"spline"
} else {
panic!("Parser Error: Curve fitting mode is invalid: {}", value);
});
}
if let Some(value) = matches.value_of("filter_speckle") {
if value.trim().parse::<usize>().is_ok() { // is numeric
let value = value.trim().parse::<usize>().unwrap();
if value > 16 {
panic!("Out of Range Error: Filter speckle is invalid at {}. It must be within [0,16].", value);
}
config.filter_speckle = value;
} else {
panic!("Parser Error: Filter speckle is not a positive integer: {}.", value);
}
}
if let Some(value) = matches.value_of("color_precision") {
if value.trim().parse::<i32>().is_ok() { // is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 1 || value > 8 {
panic!("Out of Range Error: Color precision is invalid at {}. It must be within [1,8].", value);
}
config.color_precision = value;
} else {
panic!("Parser Error: Color precision is not an integer: {}.", value);
}
}
if let Some(value) = matches.value_of("gradient_step") {
if value.trim().parse::<i32>().is_ok() { // is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 0 || value > 255 {
panic!("Out of Range Error: Gradient step is invalid at {}. It must be within [0,255].", value);
}
config.layer_difference = value;
} else {
panic!("Parser Error: Gradient step is not an integer: {}.", value);
}
}
if let Some(value) = matches.value_of("corner_threshold") {
if value.trim().parse::<i32>().is_ok() { // is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 0 || value > 180 {
panic!("Out of Range Error: Corner threshold is invalid at {}. It must be within [0,180].", value);
}
config.corner_threshold = value
} else {
panic!("Parser Error: Corner threshold is not numeric: {}.", value);
}
}
if let Some(value) = matches.value_of("segment_length") {
if value.trim().parse::<f64>().is_ok() { // is numeric
let value = value.trim().parse::<f64>().unwrap();
if value < 3.5 || value > 10.0 {
panic!("Out of Range Error: Segment length is invalid at {}. It must be within [3.5,10].", value);
}
config.length_threshold = value;
} else {
panic!("Parser Error: Segment length is not numeric: {}.", value);
}
}
if let Some(value) = matches.value_of("splice_threshold") {
if value.trim().parse::<i32>().is_ok() { // is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 0 || value > 180 {
panic!("Out of Range Error: Segment length is invalid at {}. It must be within [0,180].", value);
}
config.splice_threshold = value;
} else {
panic!("Parser Error: Segment length is not numeric: {}.", value);
}
}
if let Some(value) = matches.value_of("path_precision") {
if value.trim().parse::<u32>().is_ok() { // is numeric
let value = value.trim().parse::<u32>().ok();
config.path_precision = value;
} else {
panic!("Parser Error: Path precision is not an unsigned integer: {}.", value);
}
}
config
}
pub fn from_preset(preset: Preset, input_path: &str, output_path: &str) -> Self {
let input_path = PathBuf::from(input_path);
let output_path = PathBuf::from(output_path);
pub fn from_preset(preset: Preset) -> Self {
match preset {
Preset::Bw => Self {
input_path,
output_path,
color_mode: ColorMode::Binary,
hierarchical: Hierarchical::Stacked,
filter_speckle: 4,
@@ -338,11 +115,9 @@ impl Config {
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
path_precision: Some(2),
},
Preset::Poster => Self {
input_path,
output_path,
color_mode: ColorMode::Color,
hierarchical: Hierarchical::Stacked,
filter_speckle: 4,
@@ -353,11 +128,9 @@ impl Config {
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
path_precision: Some(2),
},
Preset::Photo => Self {
input_path,
output_path,
color_mode: ColorMode::Color,
hierarchical: Hierarchical::Stacked,
filter_speckle: 10,
@@ -368,15 +141,13 @@ impl Config {
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
}
path_precision: Some(2),
},
}
}
pub(crate) fn into_converter_config(self) -> ConverterConfig {
ConverterConfig {
input_path: self.input_path,
output_path: self.output_path,
color_mode: self.color_mode,
hierarchical: self.hierarchical,
filter_speckle_area: self.filter_speckle * self.filter_speckle,
@@ -394,4 +165,4 @@ impl Config {
fn deg2rad(deg: i32) -> f64 {
deg as f64 / 180.0 * std::f64::consts::PI
}
}
+92 -83
View File
@@ -1,32 +1,43 @@
use std::path::PathBuf;
use std::path::Path;
use std::{fs::File, io::Write};
use fastrand::Rng;
use visioncortex::{Color, ColorImage, ColorName};
use visioncortex::color_clusters::{Runner, RunnerConfig, KeyingAction, HIERARCHICAL_MAX};
use super::config::{Config, ColorMode, Hierarchical, ConverterConfig};
use super::config::{ColorMode, Config, ConverterConfig, Hierarchical};
use super::svg::SvgFile;
use fastrand::Rng;
use visioncortex::color_clusters::{KeyingAction, Runner, RunnerConfig, HIERARCHICAL_MAX};
use visioncortex::{Color, ColorImage, ColorName};
const NUM_UNUSED_COLOR_ITERATIONS: usize = 6;
/// The fraction of pixels in the top/bottom rows of the image that need to be transparent before
/// the entire image will be keyed.
const KEYING_THRESHOLD: f32 = 0.2;
/// Convert an image file into svg file
pub fn convert_image_to_svg(config: Config) -> Result<(), String> {
/// Convert an in-memory image into an in-memory SVG
pub fn convert(img: ColorImage, config: Config) -> Result<SvgFile, String> {
let config = config.into_converter_config();
match config.color_mode {
ColorMode::Color => color_image_to_svg(config),
ColorMode::Binary => binary_image_to_svg(config),
ColorMode::Color => color_image_to_svg(img, config),
ColorMode::Binary => binary_image_to_svg(img, config),
}
}
/// Convert an image file into svg file
pub fn convert_image_to_svg(
input_path: &Path,
output_path: &Path,
config: Config,
) -> Result<(), String> {
let img = read_image(input_path)?;
let svg = convert(img, config)?;
write_svg(svg, output_path)
}
fn color_exists_in_image(img: &ColorImage, color: Color) -> bool {
for y in 0..img.height {
for x in 0..img.width {
let pixel_color = img.get_pixel(x, y);
if pixel_color.r == color.r && pixel_color.g == color.g && pixel_color.b == color.b {
return true
return true;
}
}
}
@@ -35,27 +46,24 @@ fn color_exists_in_image(img: &ColorImage, color: Color) -> bool {
fn find_unused_color_in_image(img: &ColorImage) -> Result<Color, String> {
let special_colors = IntoIterator::into_iter([
Color::new(255, 0, 0),
Color::new(0, 255, 0),
Color::new(0, 0, 255),
Color::new(255, 0, 0),
Color::new(0, 255, 0),
Color::new(0, 0, 255),
Color::new(255, 255, 0),
Color::new(0, 255, 255),
Color::new(255, 0, 255),
Color::new(0, 255, 255),
Color::new(255, 0, 255),
]);
let rng = Rng::new();
let random_colors = (0..NUM_UNUSED_COLOR_ITERATIONS).map(|_| {
Color::new(
rng.u8(..),
rng.u8(..),
rng.u8(..),
)
});
let random_colors =
(0..NUM_UNUSED_COLOR_ITERATIONS).map(|_| Color::new(rng.u8(..), rng.u8(..), rng.u8(..)));
for color in special_colors.chain(random_colors) {
if !color_exists_in_image(img, color) {
return Ok(color);
}
}
Err(String::from("unable to find unused color in image to use as key"))
Err(String::from(
"unable to find unused color in image to use as key",
))
}
fn should_key_image(img: &ColorImage) -> bool {
@@ -66,7 +74,13 @@ fn should_key_image(img: &ColorImage) -> bool {
// Check for transparency at several scanlines
let threshold = ((img.width * 2) as f32 * KEYING_THRESHOLD) as usize;
let mut num_transparent_boundary_pixels = 0;
let y_positions = [0, img.height / 4, img.height / 2, 3 * img.height / 4, img.height - 1];
let y_positions = [
0,
img.height / 4,
img.height / 2,
3 * img.height / 4,
img.height - 1,
];
for y in y_positions {
for x in 0..img.width {
if img.get_pixel(x, y).a == 0 {
@@ -81,16 +95,9 @@ fn should_key_image(img: &ColorImage) -> bool {
false
}
fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
let (mut img, width, height);
match read_image(config.input_path) {
Ok(values) => {
img = values.0;
width = values.1;
height = values.2;
},
Err(msg) => return Err(msg),
}
fn color_image_to_svg(mut img: ColorImage, config: ConverterConfig) -> Result<SvgFile, String> {
let width = img.width;
let height = img.height;
let key_color = if should_key_image(&img) {
let key_color = find_unused_color_in_image(&img)?;
@@ -107,23 +114,26 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
Color::default()
};
let runner = Runner::new(RunnerConfig {
diagonal: config.layer_difference == 0,
hierarchical: HIERARCHICAL_MAX,
batch_size: 25600,
good_min_area: config.filter_speckle_area,
good_max_area: (width * height),
is_same_color_a: config.color_precision_loss,
is_same_color_b: 1,
deepen_diff: config.layer_difference,
hollow_neighbours: 1,
key_color,
keying_action: if matches!(config.hierarchical, Hierarchical::Cutout) {
KeyingAction::Keep
} else {
KeyingAction::Discard
let runner = Runner::new(
RunnerConfig {
diagonal: config.layer_difference == 0,
hierarchical: HIERARCHICAL_MAX,
batch_size: 25600,
good_min_area: config.filter_speckle_area,
good_max_area: (width * height),
is_same_color_a: config.color_precision_loss,
is_same_color_b: 1,
deepen_diff: config.layer_difference,
hollow_neighbours: 1,
key_color,
keying_action: if matches!(config.hierarchical, Hierarchical::Cutout) {
KeyingAction::Keep
} else {
KeyingAction::Discard
},
},
}, img);
img,
);
let mut clusters = runner.run();
@@ -132,21 +142,24 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
Hierarchical::Cutout => {
let view = clusters.view();
let image = view.to_color_image();
let runner = Runner::new(RunnerConfig {
diagonal: false,
hierarchical: 64,
batch_size: 25600,
good_min_area: 0,
good_max_area: (image.width * image.height) as usize,
is_same_color_a: 0,
is_same_color_b: 1,
deepen_diff: 0,
hollow_neighbours: 0,
key_color,
keying_action: KeyingAction::Discard,
}, image);
let runner = Runner::new(
RunnerConfig {
diagonal: false,
hierarchical: 64,
batch_size: 25600,
good_min_area: 0,
good_max_area: (image.width * image.height) as usize,
is_same_color_a: 0,
is_same_color_b: 1,
deepen_diff: 0,
hollow_neighbours: 0,
key_color,
keying_action: KeyingAction::Discard,
},
image,
);
clusters = runner.run();
},
}
}
let view = clusters.view();
@@ -161,26 +174,18 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
config.corner_threshold,
config.length_threshold,
config.max_iterations,
config.splice_threshold
config.splice_threshold,
);
svg.add_path(paths, cluster.residue_color());
}
write_svg(svg, config.output_path)
Ok(svg)
}
fn binary_image_to_svg(config: ConverterConfig) -> Result<(), String> {
let (img, width, height);
match read_image(config.input_path) {
Ok(values) => {
img = values.0;
width = values.1;
height = values.2;
},
Err(msg) => return Err(msg),
}
fn binary_image_to_svg(img: ColorImage, config: ConverterConfig) -> Result<SvgFile, String> {
let img = img.to_binary_image(|x| x.r < 128);
let width = img.width;
let height = img.height;
let clusters = img.to_clusters(false);
@@ -199,10 +204,10 @@ fn binary_image_to_svg(config: ConverterConfig) -> Result<(), String> {
}
}
write_svg(svg, config.output_path)
Ok(svg)
}
fn read_image(input_path: PathBuf) -> Result<(ColorImage, usize, usize), String> {
fn read_image(input_path: &Path) -> Result<ColorImage, String> {
let img = image::open(input_path);
let img = match img {
Ok(file) => file.to_rgba8(),
@@ -210,12 +215,16 @@ fn read_image(input_path: PathBuf) -> Result<(ColorImage, usize, usize), String>
};
let (width, height) = (img.width() as usize, img.height() as usize);
let img = ColorImage {pixels: img.as_raw().to_vec(), width, height};
let img = ColorImage {
pixels: img.as_raw().to_vec(),
width,
height,
};
Ok((img, width, height))
Ok(img)
}
fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
fn write_svg(svg: SvgFile, output_path: &Path) -> Result<(), String> {
let out_file = File::create(output_path);
let mut out_file = match out_file {
Ok(file) => file,
@@ -225,4 +234,4 @@ fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
write!(&mut out_file, "{}", svg).expect("failed to write file.");
Ok(())
}
}
+5 -4
View File
@@ -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.
//
@@ -10,12 +10,13 @@
mod config;
mod converter;
mod svg;
#[cfg(feature = "python-binding")]
mod python;
mod svg;
pub use config::*;
pub use converter::*;
pub use svg::*;
#[cfg(feature = "python-binding")]
pub use python::*;
pub use python::*;
pub use svg::*;
pub use visioncortex::ColorImage;
+273 -5
View File
@@ -1,14 +1,282 @@
use vtracer::{Config, convert_image_to_svg};
mod config;
mod converter;
mod svg;
use clap::{App, Arg};
use config::{ColorMode, Config, Hierarchical, Preset};
use std::path::PathBuf;
use std::str::FromStr;
use visioncortex::PathSimplifyMode;
fn path_simplify_mode_from_str(s: &str) -> PathSimplifyMode {
match s {
"polygon" => PathSimplifyMode::Polygon,
"spline" => PathSimplifyMode::Spline,
"none" => PathSimplifyMode::None,
_ => panic!("unknown PathSimplifyMode {}", s),
}
}
pub fn config_from_args() -> (PathBuf, PathBuf, Config) {
let app = App::new("visioncortex VTracer ".to_owned() + env!("CARGO_PKG_VERSION"))
.about("A cmd app to convert images into vector graphics.");
let app = app.arg(
Arg::with_name("input")
.long("input")
.short("i")
.takes_value(true)
.help("Path to input raster image")
.required(true),
);
let app = app.arg(
Arg::with_name("output")
.long("output")
.short("o")
.takes_value(true)
.help("Path to output vector graphics")
.required(true),
);
let app = app.arg(
Arg::with_name("color_mode")
.long("colormode")
.takes_value(true)
.help("True color image `color` (default) or Binary image `bw`"),
);
let app = app.arg(
Arg::with_name("hierarchical")
.long("hierarchical")
.takes_value(true)
.help(
"Hierarchical clustering `stacked` (default) or non-stacked `cutout`. \
Only applies to color mode. ",
),
);
let app = app.arg(
Arg::with_name("preset")
.long("preset")
.takes_value(true)
.help("Use one of the preset configs `bw`, `poster`, `photo`"),
);
let app = app.arg(
Arg::with_name("filter_speckle")
.long("filter_speckle")
.short("f")
.takes_value(true)
.help("Discard patches smaller than X px in size"),
);
let app = app.arg(
Arg::with_name("color_precision")
.long("color_precision")
.short("p")
.takes_value(true)
.help("Number of significant bits to use in an RGB channel"),
);
let app = app.arg(
Arg::with_name("gradient_step")
.long("gradient_step")
.short("g")
.takes_value(true)
.help("Color difference between gradient layers"),
);
let app = app.arg(
Arg::with_name("corner_threshold")
.long("corner_threshold")
.short("c")
.takes_value(true)
.help("Minimum momentary angle (degree) to be considered a corner"),
);
let app = app.arg(Arg::with_name("segment_length")
.long("segment_length")
.short("l")
.takes_value(true)
.help("Perform iterative subdivide smooth until all segments are shorter than this length"));
let app = app.arg(
Arg::with_name("splice_threshold")
.long("splice_threshold")
.short("s")
.takes_value(true)
.help("Minimum angle displacement (degree) to splice a spline"),
);
let app = app.arg(
Arg::with_name("mode")
.long("mode")
.short("m")
.takes_value(true)
.help("Curver fitting mode `pixel`, `polygon`, `spline`"),
);
let app = app.arg(
Arg::with_name("path_precision")
.long("path_precision")
.takes_value(true)
.help("Number of decimal places to use in path string"),
);
// Extract matches
let matches = app.get_matches();
let mut config = Config::default();
let input_path = matches
.value_of("input")
.expect("Input path is required, please specify it by --input or -i.");
let output_path = matches
.value_of("output")
.expect("Output path is required, please specify it by --output or -o.");
let input_path = PathBuf::from(input_path);
let output_path = PathBuf::from(output_path);
if let Some(value) = matches.value_of("preset") {
config = Config::from_preset(Preset::from_str(value).unwrap());
}
if let Some(value) = matches.value_of("color_mode") {
config.color_mode = ColorMode::from_str(if value.trim() == "bw" || value.trim() == "BW" {
"binary"
} else {
"color"
})
.unwrap()
}
if let Some(value) = matches.value_of("hierarchical") {
config.hierarchical = Hierarchical::from_str(value).unwrap()
}
if let Some(value) = matches.value_of("mode") {
let value = value.trim();
config.mode = path_simplify_mode_from_str(if value == "pixel" {
"none"
} else if value == "polygon" {
"polygon"
} else if value == "spline" {
"spline"
} else {
panic!("Parser Error: Curve fitting mode is invalid: {}", value);
});
}
if let Some(value) = matches.value_of("filter_speckle") {
if value.trim().parse::<usize>().is_ok() {
// is numeric
let value = value.trim().parse::<usize>().unwrap();
if value > 16 {
panic!("Out of Range Error: Filter speckle is invalid at {}. It must be within [0,16].", value);
}
config.filter_speckle = value;
} else {
panic!(
"Parser Error: Filter speckle is not a positive integer: {}.",
value
);
}
}
if let Some(value) = matches.value_of("color_precision") {
if value.trim().parse::<i32>().is_ok() {
// is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 1 || value > 8 {
panic!("Out of Range Error: Color precision is invalid at {}. It must be within [1,8].", value);
}
config.color_precision = value;
} else {
panic!(
"Parser Error: Color precision is not an integer: {}.",
value
);
}
}
if let Some(value) = matches.value_of("gradient_step") {
if value.trim().parse::<i32>().is_ok() {
// is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 0 || value > 255 {
panic!("Out of Range Error: Gradient step is invalid at {}. It must be within [0,255].", value);
}
config.layer_difference = value;
} else {
panic!("Parser Error: Gradient step is not an integer: {}.", value);
}
}
if let Some(value) = matches.value_of("corner_threshold") {
if value.trim().parse::<i32>().is_ok() {
// is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 0 || value > 180 {
panic!("Out of Range Error: Corner threshold is invalid at {}. It must be within [0,180].", value);
}
config.corner_threshold = value
} else {
panic!("Parser Error: Corner threshold is not numeric: {}.", value);
}
}
if let Some(value) = matches.value_of("segment_length") {
if value.trim().parse::<f64>().is_ok() {
// is numeric
let value = value.trim().parse::<f64>().unwrap();
if value < 3.5 || value > 10.0 {
panic!("Out of Range Error: Segment length is invalid at {}. It must be within [3.5,10].", value);
}
config.length_threshold = value;
} else {
panic!("Parser Error: Segment length is not numeric: {}.", value);
}
}
if let Some(value) = matches.value_of("splice_threshold") {
if value.trim().parse::<i32>().is_ok() {
// is numeric
let value = value.trim().parse::<i32>().unwrap();
if value < 0 || value > 180 {
panic!("Out of Range Error: Segment length is invalid at {}. It must be within [0,180].", value);
}
config.splice_threshold = value;
} else {
panic!("Parser Error: Segment length is not numeric: {}.", value);
}
}
if let Some(value) = matches.value_of("path_precision") {
if value.trim().parse::<u32>().is_ok() {
// is numeric
let value = value.trim().parse::<u32>().ok();
config.path_precision = value;
} else {
panic!(
"Parser Error: Path precision is not an unsigned integer: {}.",
value
);
}
}
(input_path, output_path, config)
}
fn main() {
let config = Config::from_args();
let result = convert_image_to_svg(config);
let (input_path, output_path, config) = config_from_args();
let result = converter::convert_image_to_svg(&input_path, &output_path, config);
match result {
Ok(()) => {
println!("Conversion successful.");
},
}
Err(msg) => {
panic!("Conversion failed with error message: {}", msg);
}
}
}
}
+178 -37
View File
@@ -1,28 +1,173 @@
use pyo3::prelude::*;
use visioncortex::{PathSimplifyMode};
use super::converter::*;
use crate::*;
use image::{io::Reader, ImageFormat};
use pyo3::{exceptions::PyException, prelude::*};
use std::io::{BufReader, Cursor};
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
let config = construct_config(
colormode,
hierarchical,
mode,
filter_speckle,
color_precision,
layer_difference,
corner_threshold,
length_threshold,
max_iterations,
splice_threshold,
path_precision,
);
convert_image_to_svg(&input_path, &output_path, config).unwrap();
Ok(())
}
#[pyfunction]
fn convert_raw_image_to_svg(
img_bytes: Vec<u8>,
img_format: Option<&str>, // Format of the image (e.g. 'jpg', 'png'... A full list of supported formats can be found [here](https://docs.rs/image/latest/image/enum.ImageFormat.html)). If not provided, the image format will be guessed based on its contents.
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<String> {
let config = construct_config(
colormode,
hierarchical,
mode,
filter_speckle,
color_precision,
layer_difference,
corner_threshold,
length_threshold,
max_iterations,
splice_threshold,
path_precision,
);
let mut img_reader = Reader::new(BufReader::new(Cursor::new(img_bytes)));
let img_format = img_format.and_then(|ext_name| ImageFormat::from_extension(ext_name));
let img = match img_format {
Some(img_format) => {
img_reader.set_format(img_format);
img_reader.decode()
}
None => img_reader
.with_guessed_format()
.map_err(|_| PyException::new_err("Unrecognized image format. "))?
.decode(),
};
let img = match img {
Ok(img) => img.to_rgba8(),
Err(_) => return Err(PyException::new_err("Failed to decode img_bytes. ")),
};
let (width, height) = (img.width() as usize, img.height() as usize);
let img = ColorImage {
pixels: img.as_raw().to_vec(),
width,
height,
};
let svg =
convert(img, config).map_err(|_| PyException::new_err("Failed to convert the image. "))?;
Ok(format!("{}", svg))
}
#[pyfunction]
fn convert_pixels_to_svg(
rgba_pixels: Vec<(u8, u8, u8, u8)>,
size: (usize, usize),
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<String> {
let expected_pixel_count = size.0 * size.1;
if rgba_pixels.len() != expected_pixel_count {
return Err(PyException::new_err(format!(
"Length of rgba_pixels does not match given image size. Expected {} ({} * {}), got {}. ",
expected_pixel_count,
size.0,
size.1,
rgba_pixels.len()
)));
}
let config = construct_config(
colormode,
hierarchical,
mode,
filter_speckle,
color_precision,
layer_difference,
corner_threshold,
length_threshold,
max_iterations,
splice_threshold,
path_precision,
);
let mut flat_pixels: Vec<u8> = vec![];
for (r, g, b, a) in rgba_pixels {
flat_pixels.push(r);
flat_pixels.push(g);
flat_pixels.push(b);
flat_pixels.push(a);
}
let mut img = ColorImage::new();
img.pixels = flat_pixels;
(img.width, img.height) = size;
let svg =
convert(img, config).map_err(|_| PyException::new_err("Failed to convert the image. "))?;
Ok(format!("{}", svg))
}
fn construct_config(
colormode: Option<&str>,
hierarchical: Option<&str>,
mode: Option<&str>,
filter_speckle: Option<usize>,
color_precision: Option<i32>,
layer_difference: Option<i32>,
corner_threshold: Option<i32>,
length_threshold: Option<f64>,
max_iterations: Option<usize>,
splice_threshold: Option<i32>,
path_precision: Option<u32>,
) -> Config {
// 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 +180,7 @@ 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,
@@ -43,17 +188,15 @@ 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,
output_path,
Config {
color_mode,
hierarchical,
filter_speckle,
@@ -65,17 +208,15 @@ fn convert_image_to_svg_py( image_path: &str,
max_iterations,
splice_threshold,
path_precision,
..Default::default()
};
convert_image_to_svg(config).unwrap();
Ok(())
..Default::default()
}
}
/// 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)?)?;
m.add_function(wrap_pyfunction!(convert_raw_image_to_svg, m)?)?;
m.add_function(wrap_pyfunction!(convert_pixels_to_svg, m)?)?;
Ok(())
}
}
+19 -11
View File
@@ -24,24 +24,27 @@ impl SvgFile {
}
pub fn add_path(&mut self, path: CompoundPath, color: Color) {
self.paths.push(SvgPath {
path,
color,
})
self.paths.push(SvgPath { path, color })
}
}
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,
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
)?;
for path in &self.paths {
path.fmt_with_precision(f, self.path_precision)?;
};
}
writeln!(f, "</svg>")
}
@@ -55,11 +58,16 @@ impl fmt::Display for SvgPath {
impl SvgPath {
fn fmt_with_precision(&self, f: &mut fmt::Formatter, precision: Option<u32>) -> fmt::Result {
let (string, offset) = self.path.to_svg_string(true, PointF64::default(), precision);
let (string, offset) = self
.path
.to_svg_string(true, PointF64::default(), precision);
writeln!(
f, "<path d=\"{}\" fill=\"{}\" transform=\"translate({},{})\"/>",
string, self.color.to_hex_string(),
offset.x, offset.y
f,
"<path d=\"{}\" fill=\"{}\" transform=\"translate({},{})\"/>",
string,
self.color.to_hex_string(),
offset.x,
offset.y
)
}
}
}
+11 -1
View File
@@ -52,7 +52,17 @@ 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
# Convert from raw image bytes
input_img_bytes: bytes = get_bytes() # e.g. reading bytes from a file or a HTTP request body
svg_str: str = vtracer.convert_raw_image_to_svg(input_img_bytes, img_format = 'jpg')
# Convert from RGBA image pixels
from PIL import Image
img = Image.open(input_path).convert('RGBA')
pixels: list[tuple[int, int, int, int]] = list(img.getdata())
svg_str: str = vtracer.convert_pixels_to_svg(pixels)
# All the bells & whistles, also applicable to convert_raw_image_to_svg and convert_pixels_to_svg.
vtracer.convert_image_to_svg_py(inp,
out,
colormode = 'color', # ["color"] or "binary"
+2 -1
View File
@@ -1 +1,2 @@
from .vtracer import convert_image_to_svg_py
from .vtracer import (convert_image_to_svg_py, convert_pixels_to_svg,
convert_raw_image_to_svg)
+32
View File
@@ -15,3 +15,35 @@ def convert_image_to_svg_py(image_path: str,
path_precision: Optional[int] = None, # default: 8
) -> None:
...
def convert_raw_image_to_svg(img_bytes: bytes,
img_format: Optional[str] = None, # Format of the image (e.g. 'jpg', 'png'... A full list of supported formats can be found [here](https://docs.rs/image/latest/image/enum.ImageFormat.html)). If not provided, the image format will be guessed based on its contents.
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
) -> str:
...
def convert_pixels_to_svg(rgba_pixels: list[tuple[int, int, int, int]],
size: tuple[int, int],
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
) -> str:
...
-44
View File
@@ -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"/>
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<rect x="1549" y="146.5" transform="matrix(0.866 -0.5 0.5 0.866 137.8024 841.2704)" class="st1" width="179.4" height="34"/>
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<g>
<rect x="1621.7" y="73.8" transform="matrix(0.5 -0.866 0.866 0.5 677.7373 1500.9166)" class="st1" width="34" height="179.4"/>
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<g>
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</g>
</g>
</g>
</svg>

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