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Update webapp

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Chris Tsang
2026-10-11 14:18:56 +01:00
parent 81e2d9e122
commit e4ef2e5c32
72 changed files with 52 additions and 64942 deletions
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.github/workflows/CI.yml
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# This file is autogenerated by maturin v1.2.3
# To update, run
#
# maturin generate-ci github
#
name: CI
on:
push:
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: -m cmdapp/Cargo.toml --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: -m cmdapp/Cargo.toml --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: -m cmdapp/Cargo.toml --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: -m cmdapp/Cargo.toml --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 *
manylinux: auto
.github/workflows/rust.yml
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name: Rust
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
env:
CARGO_TERM_COLOR: always
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Build
run: cargo build --verbose
- name: Run tests
run: cargo test --verbose
.gitignore
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target
Cargo.lock
*.sublime*
.vscode
CHANGELOG.md
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# Changelog
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 - 2023-09-16
* Python Binding
## 0.5.0 - 2022-10-09
* Handle transparent png images (cli) (#23)
## 0.4.0 - 2021-07-23
* SVG path string numeric precision
## 0.3.0 - 2021-01-24
* Added cutout mode
## 0.2.0 - 2020-11-15
* Use relative & closed paths
## 0.1.0 - 2020-10-31
* Initial release
COPYRIGHT
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Copyright (c) 2026 Seafire Software Limited. All rights reserved.
This application, including its source code, assets, build configuration,
documentation, and distributed binaries, is proprietary software.
No license is granted to copy, modify, merge, publish, distribute, sublicense,
sell, host, or otherwise make this application available to any third party,
except with prior written permission from the copyright holder.
This repository is not open source. Possession of a copy of this repository or
application does not grant any redistribution rights.
Third-party dependencies remain governed by their own license terms.
Cargo.toml
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[workspace]
members = [
"cmdapp",
"webapp",
]
resolver = "2"
LICENSE
-25
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@@ -1,25 +0,0 @@
Copyright (c) 2022 Tsang Hao Fung
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the
Software without restriction, including without
limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software
is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice
shall be included in all copies or substantial portions
of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
README.md
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<div align="center">
<img src="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="//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).
## 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)
## Cmd App
```sh
visioncortex VTracer 0.4.0
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
```
### Usage
```
./vtracer --input input.jpg --output output.svg
```
## 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):
```
cargo install vtracer
```
## In the wild
VTracer is used by the following products (feel free to add yours to the list):
<table>
<tbody>
<tr>
<td><a href="https://logo.aliyun.com/logo#/name"><img src="docs/images/aliyun-logo.png" width="250"/></a>
<br>Smart logo design
</td>
<td></td>
</tr>
</tbody>
</table>
RELEASES.md
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# 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
cmdapp/.gitignore
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*.svg
*.png
*.jpg
cmdapp/Cargo.toml
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@@ -1,21 +0,0 @@
[package]
name = "vtracer"
version = "0.6.0"
authors = ["Chris Tsang <chris.2y3@outlook.com>"]
edition = "2021"
description = "A cmd app to convert images into vector graphics."
license = "MIT OR Apache-2.0"
homepage = "http://www.visioncortex.org/vtracer"
repository = "https://github.com/visioncortex/vtracer/"
categories = ["graphics"]
keywords = ["svg", "computer-graphics"]
[dependencies]
clap = "2.33.3"
image = "0.23.10"
visioncortex = { version = "0.8.0" }
fastrand = "1.8"
pyo3 = { version = "0.19.0", optional = true }
[features]
python-binding = ["pyo3"]
cmdapp/LICENSE-APACHE
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@@ -1,201 +0,0 @@
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http://www.apache.org/licenses/
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cmdapp/LICENSE-MIT
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@@ -1,25 +0,0 @@
Copyright (c) 2022 Tsang Hao Fung
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the
Software without restriction, including without
limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software
is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice
shall be included in all copies or substantial portions
of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
cmdapp/pyproject.toml
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[project]
name = "vtracer"
version = "0.6.0"
description = "Python bindings for the Rust Vtracer raster-to-vector library"
authors = [ { name = "Chris Tsang", email = "chris.2y3@outlook.com" } ]
readme = "vtracer/README.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 = "manylinux2014"
sdist-include = ["LICENSE-MIT", "vtracer/README.md"]
cmdapp/src/config.rs
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use std::str::FromStr;
use std::path::PathBuf;
use clap::{Arg, App};
use visioncortex::PathSimplifyMode;
pub enum Preset {
Bw,
Poster,
Photo
}
pub enum ColorMode {
Color,
Binary,
}
pub enum Hierarchical {
Stacked,
Cutout,
}
/// Converter config
pub struct Config {
pub input_path: PathBuf,
pub output_path: PathBuf,
pub color_mode: ColorMode,
pub hierarchical: Hierarchical,
pub filter_speckle: usize,
pub color_precision: i32,
pub layer_difference: i32,
pub mode: PathSimplifyMode,
pub corner_threshold: i32,
pub length_threshold: f64,
pub max_iterations: usize,
pub splice_threshold: i32,
pub path_precision: Option<u32>,
}
pub(crate) struct ConverterConfig {
pub input_path: PathBuf,
pub output_path: PathBuf,
pub color_mode: ColorMode,
pub hierarchical: Hierarchical,
pub filter_speckle_area: usize,
pub color_precision_loss: i32,
pub layer_difference: i32,
pub mode: PathSimplifyMode,
pub corner_threshold: f64,
pub length_threshold: f64,
pub max_iterations: usize,
pub splice_threshold: f64,
pub path_precision: Option<u32>,
}
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,
filter_speckle: 4,
color_precision: 6,
layer_difference: 16,
corner_threshold: 60,
length_threshold: 4.0,
splice_threshold: 45,
max_iterations: 10,
path_precision: Some(8),
}
}
}
impl FromStr for ColorMode {
type Err = String;
fn from_str(s: &str) -> Result<Self, Self::Err> {
match s {
"color" => Ok(Self::Color),
"binary" => Ok(Self::Binary),
_ => Err(format!("unknown ColorMode {}", s)),
}
}
}
impl FromStr for Hierarchical {
type Err = String;
fn from_str(s: &str) -> Result<Self, Self::Err> {
match s {
"stacked" => Ok(Self::Stacked),
"cutout" => Ok(Self::Cutout),
_ => Err(format!("unknown Hierarchical {}", s)),
}
}
}
impl FromStr for Preset {
type Err = String;
fn from_str(s: &str) -> Result<Self, Self::Err> {
match s {
"bw" => Ok(Self::Bw),
"poster" => Ok(Self::Poster),
"photo" => Ok(Self::Photo),
_ => Err(format!("unknown Preset {}", s)),
}
}
}
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);
match preset {
Preset::Bw => Self {
input_path,
output_path,
color_mode: ColorMode::Binary,
hierarchical: Hierarchical::Stacked,
filter_speckle: 4,
color_precision: 6,
layer_difference: 16,
mode: PathSimplifyMode::Spline,
corner_threshold: 60,
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
},
Preset::Poster => Self {
input_path,
output_path,
color_mode: ColorMode::Color,
hierarchical: Hierarchical::Stacked,
filter_speckle: 4,
color_precision: 8,
layer_difference: 16,
mode: PathSimplifyMode::Spline,
corner_threshold: 60,
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
},
Preset::Photo => Self {
input_path,
output_path,
color_mode: ColorMode::Color,
hierarchical: Hierarchical::Stacked,
filter_speckle: 10,
color_precision: 8,
layer_difference: 48,
mode: PathSimplifyMode::Spline,
corner_threshold: 180,
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
}
}
}
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,
color_precision_loss: 8 - self.color_precision,
layer_difference: self.layer_difference,
mode: self.mode,
corner_threshold: deg2rad(self.corner_threshold),
length_threshold: self.length_threshold,
max_iterations: self.max_iterations,
splice_threshold: deg2rad(self.splice_threshold),
path_precision: self.path_precision,
}
}
}
fn deg2rad(deg: i32) -> f64 {
deg as f64 / 180.0 * std::f64::consts::PI
}
cmdapp/src/converter.rs
-228
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@@ -1,228 +0,0 @@
use std::path::PathBuf;
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::svg::SvgFile;
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> {
let config = config.into_converter_config();
match config.color_mode {
ColorMode::Color => color_image_to_svg(config),
ColorMode::Binary => binary_image_to_svg(config),
}
}
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
}
}
}
false
}
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, 255, 0),
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(..),
)
});
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"))
}
fn should_key_image(img: &ColorImage) -> bool {
if img.width == 0 || img.height == 0 {
return false;
}
// 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];
for y in y_positions {
for x in 0..img.width {
if img.get_pixel(x, y).a == 0 {
num_transparent_boundary_pixels += 1;
}
if num_transparent_boundary_pixels >= threshold {
return true;
}
}
}
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),
}
let key_color = if should_key_image(&img) {
let key_color = find_unused_color_in_image(&img)?;
for y in 0..height {
for x in 0..width {
if img.get_pixel(x, y).a == 0 {
img.set_pixel(x, y, &key_color);
}
}
}
key_color
} else {
// The default color is all zeroes, which is treated by visioncortex as a special value meaning no keying will be applied.
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
},
}, img);
let mut clusters = runner.run();
match config.hierarchical {
Hierarchical::Stacked => {}
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);
clusters = runner.run();
},
}
let view = clusters.view();
let mut svg = SvgFile::new(width, height, config.path_precision);
for &cluster_index in view.clusters_output.iter().rev() {
let cluster = view.get_cluster(cluster_index);
let paths = cluster.to_compound_path(
&view,
false,
config.mode,
config.corner_threshold,
config.length_threshold,
config.max_iterations,
config.splice_threshold
);
svg.add_path(paths, cluster.residue_color());
}
write_svg(svg, config.output_path)
}
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),
}
let img = img.to_binary_image(|x| x.r < 128);
let clusters = img.to_clusters(false);
let mut svg = SvgFile::new(width, height, config.path_precision);
for i in 0..clusters.len() {
let cluster = clusters.get_cluster(i);
if cluster.size() >= config.filter_speckle_area {
let paths = cluster.to_compound_path(
config.mode,
config.corner_threshold,
config.length_threshold,
config.max_iterations,
config.splice_threshold,
);
svg.add_path(paths, Color::color(&ColorName::Black));
}
}
write_svg(svg, config.output_path)
}
fn read_image(input_path: PathBuf) -> Result<(ColorImage, usize, usize), String> {
let img = image::open(input_path);
let img = match img {
Ok(file) => file.to_rgba8(),
Err(_) => return Err(String::from("No image file found at specified input path")),
};
let (width, height) = (img.width() as usize, img.height() as usize);
let img = ColorImage {pixels: img.as_raw().to_vec(), width, height};
Ok((img, width, height))
}
fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
let out_file = File::create(output_path);
let mut out_file = match out_file {
Ok(file) => file,
Err(_) => return Err(String::from("Cannot create output file.")),
};
write!(&mut out_file, "{}", svg).expect("failed to write file.");
Ok(())
}
cmdapp/src/lib.rs
-21
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@@ -1,21 +0,0 @@
// Copyright 2020 Tsang Hao Fung. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
mod config;
mod converter;
mod svg;
#[cfg(feature = "python-binding")]
mod python;
pub use config::*;
pub use converter::*;
pub use svg::*;
#[cfg(feature = "python-binding")]
pub use python::*;
cmdapp/src/main.rs
-14
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@@ -1,14 +0,0 @@
use vtracer::{Config, convert_image_to_svg};
fn main() {
let config = Config::from_args();
let result = convert_image_to_svg(config);
match result {
Ok(()) => {
println!("Conversion successful.");
},
Err(msg) => {
panic!("Conversion failed with error message: {}", msg);
}
}
}
cmdapp/src/python.rs
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@@ -1,81 +0,0 @@
use pyo3::prelude::*;
use visioncortex::{PathSimplifyMode};
use super::converter::*;
/// 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(())
}
cmdapp/src/svg.rs
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@@ -1,65 +0,0 @@
use std::fmt;
use visioncortex::{Color, CompoundPath, PointF64};
pub struct SvgFile {
pub paths: Vec<SvgPath>,
pub width: usize,
pub height: usize,
pub path_precision: Option<u32>,
}
pub struct SvgPath {
pub path: CompoundPath,
pub color: Color,
}
impl SvgFile {
pub fn new(width: usize, height: usize, path_precision: Option<u32>) -> Self {
SvgFile {
paths: vec![],
width,
height,
path_precision,
}
}
pub fn add_path(&mut self, path: CompoundPath, color: 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,
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>")
}
}
impl fmt::Display for SvgPath {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
self.fmt_with_precision(f, None)
}
}
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);
writeln!(
f, "<path d=\"{}\" fill=\"{}\" transform=\"translate({},{})\"/>",
string, self.color.to_hex_string(),
offset.x, offset.y
)
}
}
cmdapp/vtracer/README.md
-75
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@@ -1,75 +0,0 @@
<div align="center">
<img src="https://github.com/visioncortex/vtracer/raw/master/docs/images/visioncortex-banner.png">
<h1>VTracer: Python Binding</h1>
<p>
<strong>Raster to Vector Graphics Converter built on top of visioncortex</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
)
```
## 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).
cmdapp/vtracer/__init__.py
-1
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@@ -1 +0,0 @@
from .vtracer import convert_image_to_svg_py
cmdapp/vtracer/vtracer.pyi
-17
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@@ -1,17 +0,0 @@
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
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Copyright (c) 2024 TSANG, Hao Fung Copyright (c) 2026 Seafire Software Limited. All rights reserved.
The content in the /docs directory is for GitHub pages, and is not covered under open source licenses. This application, including its source code, assets, build configuration,
documentation, and distributed binaries, is proprietary software.
No license is granted to copy, modify, merge, publish, distribute, sublicense,
sell, host, or otherwise make this application available to any third party,
except with prior written permission from the copyright holder.
This repository is not open source. Possession of a copy of this repository or
application does not grant any redistribution rights.
Third-party dependencies remain governed by their own license terms.
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<!DOCTYPE html> <!doctype html>
<html> <html lang="en">
<head> <head>
<meta charset="utf-8"> <meta charset="UTF-8" />
<title>VTracer</title> <meta name="viewport" content="width=device-width, initial-scale=1.0" />
<link rel="apple-touch-icon" sizes="192x192" href="./assets/apple-icon.png"> <title>VTracer Web Demo</title>
<link rel="icon" type="image/png" sizes="192x192" href="./assets/apple-icon.png"> <meta name="description" content="Convert raster images into vector graphics in your browser with VTracer." />
<!-- UIkit CSS --> <link rel="icon" type="image/png" href="./assets/apple-icon.png" />
<link rel="stylesheet" href="./uikit/css/uikit.min.css" /> <script async src="https://www.googletagmanager.com/gtag/js?id=G-XPL1JGMDSC"></script>
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html, body {
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<div class="uk-navbar-left uk-text-large uk-text-bolder">
<a id="vc-logo" class="uk-logo" href="//www.visioncortex.org"><img style="height: 50px; margin: -30px 0 -25px 0;" src="./assets/visioncortex-logo.svg"></a>
<a id="vc-logo-light" class="uk-logo" href="//www.visioncortex.org"><img style="height: 50px; margin: -30px 0 -25px 0;" src="./assets/visioncortex-logo-light.svg"></a>
&nbsp;
/ VTracer
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<div class="uk-navbar-right uk-padding-small">
<a class="uk-button uk-button-default" href="//github.com/visioncortex/vtracer">GitHub</a>
&nbsp;&nbsp;
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<p class="desktop-banner-title">Try the latest <a href="https://vtracer.visioncortex.org/" rel="noopener">VTracer Desktop App</a><span id="desktop-banner-copy"> for native speed, curve simplification, and higher tracing quality.</span></p>
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Download Desktop App
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<a class="uk-align-right uk-text-meta" style="margin:-5px;" uk-toggle="target: #credits-modal">Photo Credits</a>
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<div class="uk-width-1-1 uk-flex uk-flex-right">
&nbsp;
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<p></p>
<div class="uk-width-1-1 uk-flex uk-flex-right">
<div class="uk-text-bold" uk-tooltip="pos:left; title: Algorithm for segmentation and grouping of pixel clusters">
Clustering
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<div class="uk-width-1-1 uk-flex uk-flex-right">
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<button id="clustering-binary" class="uk-button uk-button-default" uk-tooltip="Black & White (Binary Image)">B/W</button>
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<div class="uk-button-group">
<button id="clustering-cutout" class="uk-button uk-button-default uk-button-small" uk-tooltip="Shapes disjoint with others">Cutout</button>
<button id="clustering-stacked" class="selected uk-button uk-button-default uk-button-small" uk-tooltip="Stack shapes on top of another">Stacked</button>
</div>
</div>
<div class="uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Discard patches small than X px in size">
Filter Speckle <span class="uk-text-meta">(Cleaner)</span>
</div>
</div>
<div id="filterspecklevalue" class="uk-width-1-6">
4
</div>
<div class="uk-width-5-6">
<input id="filterspeckle" class="uk-range" type="range" min="0" max="128" step="1" value="4">
</div>
<div class="clustering-color-options uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Number of significant bits to use in a RGB channel">
Color Precision <span class="uk-text-meta">(More accurate)</span>
</div>
</div>
<div id="colorprecisionvalue" class="clustering-color-options uk-width-1-6">
6
</div>
<div class="clustering-color-options uk-width-5-6">
<input id="colorprecision" class="uk-range" type="range" min="1" max="8" step="1" value="6">
</div>
<div class="clustering-color-options uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Color difference between gradient layers">
Gradient Step <span class="uk-text-meta">(Less layers)</span>
</div>
</div>
<div id="layerdifferencevalue" class="clustering-color-options uk-width-1-6">
16
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<div class="clustering-color-options uk-width-5-6">
<input id="layerdifference" class="uk-range" type="range" min="0" max="128" step="1" value="16">
</div>
<div class="uk-width-1-1 uk-flex uk-flex-right">
<div class="uk-text-bold" uk-tooltip="pos: left; title: Algorithm for converting clusters to shapes">
Curve Fitting
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</div>
<div class="uk-width-1-1 uk-flex uk-flex-right">
<div class="uk-button-group">
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</div>
</div>
<div class="spline-options uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Minimum Momentary Angle (in degrees) to be considered a corner (to be kept after smoothing)">
Corner Threshold <span class="uk-text-meta">(Smoother)</span>
</div>
</div>
<div id="cornervalue" class="spline-options uk-width-1-6">
60
</div>
<div class="spline-options uk-width-5-6">
<input id="corner" class="uk-range" type="range" min="0" max="180" step="1" value="60">
</div>
<div class="spline-options uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Perform Iterative Subdivide Smooth until all segments are shorter than this length">
Segment Length <span class="uk-text-meta">(More coarse)</span>
</div>
</div>
<div id="lengthvalue" class="spline-options uk-width-1-6">
4
</div>
<div class="spline-options uk-width-5-6">
<input id="length" class="uk-range" type="range" min="3.5" max="10" step="0.5" value="4">
</div>
<div class="spline-options uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Minimum Angle Displacement (in degrees) to be considered a cutting point between curves">
Splice Threshold <span class="uk-text-meta">(Less accurate)</span>
</div>
</div>
<div id="splicevalue" class="spline-options uk-width-1-6">
45
</div>
<div class="spline-options uk-width-5-6">
<input id="splice" class="uk-range" type="range" min="0" max="180" step="1" value="45">
</div>
<div style="display: none">
<div class="spline-options uk-width-1-1 uk-flex uk-flex-right">
<div uk-tooltip="pos: left; title: Number of decimal places used in svg path string">
Path Precision <span class="uk-text-meta">(More digits)</span>
</div>
</div>
<div id="pathprecisionvalue" class="spline-options uk-width-1-6">
8
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<div class="spline-options uk-width-5-6">
<input id="pathprecision" class="uk-range" type="range" min="0" max="16" step="1" value="8">
</div>
</div>
</div>
</div>
<div id="credits-modal" uk-modal>
<div id="credits-modal-content" class="uk-modal-dialog uk-modal-body">
<p>Image Credits</p>
</div>
</div>
<script>
if (window.matchMedia && window.matchMedia('(prefers-color-scheme: dark)').matches) {
document.body.classList.remove('uk-dark');
document.body.classList.add('uk-light');
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(function() {
var releasesUrl = 'https://github.com/visioncortex/vtracer/releases/latest';
var manifestUrl = 'https://raw.githubusercontent.com/visioncortex/vtracer/desktop-updates/latest.json';
var downloadLink = document.getElementById('desktop-download');
var bannerCopy = document.getElementById('desktop-banner-copy');
function detectPlatform() {
var platform = navigator.userAgentData && navigator.userAgentData.platform
? navigator.userAgentData.platform
: navigator.platform || '';
var userAgent = navigator.userAgent || '';
var platformText = platform + ' ' + userAgent;
if (/Windows/i.test(platformText)) {
return {
label: 'Windows',
manifestKeys: ['windows-x86_64']
};
}
if (/Mac|Darwin/i.test(platformText) && !/iPhone|iPad|iPod/i.test(userAgent)) {
return {
label: 'macOS',
manifestKeys: ['macos-universal', 'darwin-universal', 'darwin-aarch64', 'darwin-x86_64']
};
}
if (/Linux|X11/i.test(platformText) && !/Android/i.test(userAgent)) {
return {
label: 'Linux',
manifestKeys: ['linux-x86_64']
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}
return {
label: '',
manifestKeys: []
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function setFallback(platform) {
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downloadLink.textContent = platform.label ? 'Download for ' + platform.label : 'View latest downloads';
bannerCopy.textContent = platform.label
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}
return '';
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function publicDownloadUrl(platform, updaterUrl) {
if (platform.label !== 'macOS' || !updaterUrl) {
return updaterUrl;
}
// The manifest points at Tauri's updater bundle; a person wants the
// disk image sitting beside it. Rewrite only the filename, so the
// release tag comes from the URL we were handed: manifest.version
// carries a build suffix the tag does not, and building the URL from
// it 404s (version '1.0.0-alpha.3.app.59' lives under tag
// '1.0.0-alpha.3').
return updaterUrl.replace(/\.app\.tar\.gz$/i, '.dmg');
}
var platform = detectPlatform();
setFallback(platform);
downloadLink.addEventListener('click', function() {
if (typeof gtag !== 'function') {
return;
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gtag('event', 'desktop_download_click', {
platform: platform.label || 'unknown',
source: 'docs_banner',
download_url: downloadLink.href,
transport_type: 'beacon'
});
});
if (!window.fetch) {
return;
}
fetch(manifestUrl)
.then(function(response) {
if (!response.ok) {
throw new Error('Desktop manifest lookup failed');
}
return response.json();
})
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var updaterUrl = findPlatformDownload(manifest.platforms || {}, platform);
var downloadUrl = publicDownloadUrl(platform, updaterUrl);
if (!downloadUrl) {
return;
}
downloadLink.href = downloadUrl;
downloadLink.textContent = 'Download for ' + platform.label;
bannerCopy.textContent = ' for ' + platform.label + ' with native speed, curve simplification, and higher tracing quality.';
})
.catch(function() {
setFallback(platform);
});
})();
</script>
<script src="./bootstrap.js"></script>
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docs/uikit/css/uikit-rtl.css
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docs/uikit/css/uikit.css
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docs/uikit/js/uikit-icons.js
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@@ -1,167 +0,0 @@
/*! UIkit 3.5.8 | https://www.getuikit.com | (c) 2014 - 2020 YOOtheme | MIT License */
(function (global, factory) {
typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
typeof define === 'function' && define.amd ? define('uikiticons', factory) :
(global = typeof globalThis !== 'undefined' ? globalThis : global || self, global.UIkitIcons = factory());
}(this, (function () { 'use strict';
function plugin(UIkit) {
if (plugin.installed) {
return;
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}
if (typeof window !== 'undefined' && window.UIkit) {
window.UIkit.use(plugin);
}
return plugin;
})));
docs/uikit/js/uikit-icons.min.js
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docs/uikit/js/uikit.js
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webapp/.gitignore
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pkg
wasm-pack.log
webapp/Cargo.toml
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[package]
name = "vtracer-webapp"
version = "0.4.0"
authors = ["Chris Tsang <chris.2y3@outlook.com>"]
edition = "2021"
description = "A web app to convert images into vector graphics."
license = "MIT OR Apache-2.0"
homepage = "http://www.visioncortex.org/vtracer"
repository = "https://github.com/visioncortex/vtracer/"
categories = ["graphics"]
keywords = ["svg", "computer-graphics"]
[lib]
crate-type = ["cdylib"]
[features]
default = ["console_error_panic_hook"]
[dependencies]
cfg-if = "0.1"
console_log = { version = "0.2", features = ["color"] }
wasm-bindgen = { version = "0.2", features = ["serde-serialize"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
visioncortex = "0.8.1"
# The `console_error_panic_hook` crate provides better debugging of panics by
# logging them with `console.error`. This is great for development, but requires
# all the `std::fmt` and `std::panicking` infrastructure, so isn't great for
# code size when deploying.
console_error_panic_hook = { version = "0.1", optional = true }
[dependencies.web-sys]
version = "0.3"
features = [
"CanvasRenderingContext2d",
"console",
"Document",
"HtmlElement",
"HtmlCanvasElement",
"ImageData",
"Window",
]
webapp/LICENSE-APACHE
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Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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webapp/LICENSE-MIT
-25
View File
@@ -1,25 +0,0 @@
Copyright (c) 2020 Tsang Hao Fung
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the
Software without restriction, including without
limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software
is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice
shall be included in all copies or substantial portions
of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
webapp/Readme.md
-42
View File
@@ -1,42 +0,0 @@
<div align="center">
<img src="https://github.com/visioncortex/vtracer/raw/master/docs/images/visioncortex-banner.png">
</div>
# visioncortex VTracer
A web app to convert raster images into vector graphics.
## Setup
0. `sudo apt install git build-essential`
1. https://www.rust-lang.org/tools/install
2. https://rustwasm.github.io/wasm-pack/installer/
3. https://github.com/nvm-sh/nvm
```
nvm install --lts
```
## Getting Started
0. Setup
```
cd app
npm install
```
1. Build wasm
```
wasm-pack build
```
2. Start development server
```
cd app
npm run start
```
Open browser on http://localhost:8080/
3. Release
```
npm run build
```
webapp/app/.gitignore
-2
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@@ -1,2 +0,0 @@
node_modules
dist
webapp/app/bootstrap.js
Vendored
-5
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@@ -1,5 +0,0 @@
// A dependency graph that contains any wasm must all be imported
// asynchronously. This `bootstrap.js` file does the single async import, so
// that no one else needs to worry about it again.
import("./index.js")
.catch(e => console.error("Error importing `index.js`:", e));
webapp/app/index.html
-205
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@@ -1,205 +0,0 @@
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>VTracer</title>
<link rel="apple-touch-icon" sizes="192x192" href="./assets/apple-icon.png">
<link rel="icon" type="image/png" sizes="192x192" href="./assets/apple-icon.png">
<style>
html, body {
width: 100%;
height: 100%;
margin: 0;
}
.button {
cursor: pointer;
font-family: sans-serif;
border-radius: 2px;
border: 1px solid #aaa;
padding: 4px 8px;
}
#droptext {
border: 2px dashed #000;
}
#droptext.hovering {
border: 2px dashed #fff;
}
#canvas-container {
position: absolute;
left: 2.5%;
top: 5%;
width: 95%;
height: 90%;
}
#svg, #frame {
position: absolute;
width: 100%;
margin-bottom: 50px;
}
#svg > path:hover {
stroke: #ff0;
}
#droptext {
height: 100%;
text-align: center;
}
#options {
position: absolute;
left: 2.5%;
top: 5%;
padding: 50px;
background: rgba(255,255,255,0.5);
}
</style>
</head>
<body>
<input type="file" id="imageInput" accept="image/*" style="display: none;">
<div>
<div id="progressregion" style="display: none;">
<progress id="progressbar" value="0" max="100" style="width: 98%;"></progress>
</div>
<div>
<div id="drop">
<div id="canvas-container">
<div id="droptext">
<p>Drag an image here or <a href="#" id="imageSelect">Select file</a></p>
</div>
<canvas id="frame"></canvas>
<svg id="svg" version="1.1" xmlns="http://www.w3.org/2000/svg"></svg>
</div>
</div>
</div>
<div id="options">
<div>
<a class="button" id="export">Download as SVG</a>
</div>
<p></p>
<div>
<div title="Algorithm for segmentation and grouping of pixel clusters">
Clustering
</div>
</div>
<div>
<div>
<button id="clustering-binary" title="Black & White (Binary Image)">B/W</button>
<button id="clustering-color" title="True Color Image">Color</button>
</div>
</div>
<div>
<div>
<button id="clustering-cutout" title="Shapes disjoint with others">Cutout</button>
<button id="clustering-stacked" title="Stack shapes on top of another">Stacked</button>
</div>
</div>
<div>
<div title="Discard patches small than X px in size">
Filter Speckle <span>(Cleaner)</span>
</div>
</div>
<div id="filterspecklevalue">
4
</div>
<div>
<input id="filterspeckle" type="range" min="1" max="16" step="1" value="4">
</div>
<div class="clustering-color-options">
<div title="Number of significant bits to use in a RGB channel">
Color Precision <span>(More accurate)</span>
</div>
</div>
<div id="colorprecisionvalue" class="clustering-color-options">
6
</div>
<div class="clustering-color-options">
<input id="colorprecision" type="range" min="1" max="8" step="1" value="6">
</div>
<div class="clustering-color-options">
<div title="Color difference between gradient layers">
Gradient Step <span>(Less layers)</span>
</div>
</div>
<div id="layerdifferencevalue" class="clustering-color-options">
16
</div>
<div class="clustering-color-options">
<input id="layerdifference" type="range" min="0" max="255" step="1" value="16">
</div>
<p></p>
<div>
<div title="Algorithm for converting clusters to shapes">
Curve Fitting
</div>
</div>
<div>
<div>
<button id="none" title="Exact cluster boundary">Pixel</button>
<button id="polygon" title="Simplify to Polygon">Polygon</button>
<button id="spline" class="selected" title="Smooth and Curve-fit">Spline</button>
</div>
</div>
<div class="spline-options">
<div title="Minimum Momentary Angle (in degrees) to be considered a corner (to be kept after smoothing)">
Corner Threshold <span>(Smoother)</span>
</div>
</div>
<div id="cornervalue" class="spline-options">
60
</div>
<div class="spline-options">
<input id="corner" type="range" min="0" max="180" step="1" value="60">
</div>
<div class="spline-options">
<div title="Perform Iterative Subdivide Smooth until all segments are shorter than this length">
Segment Length <span>(More coarse)</span>
</div>
</div>
<div id="lengthvalue" class="spline-options">
4
</div>
<div class="spline-options">
<input id="length" type="range" min="3.5" max="10" step="0.5" value="4">
</div>
<div class="spline-options">
<div title="Minimum Angle Displacement (in degrees) to be considered a cutting point between curves">
Splice Threshold <span>(More accurate)</span>
</div>
</div>
<div id="splicevalue" class="spline-options">
45
</div>
<div class="spline-options">
<input id="splice" type="range" min="0" max="180" step="1" value="45">
</div>
<div style="display: none">
<div class="spline-options">
<div title="Number of decimal places used in svg path string">
Path Precision <span>(More digits)</span>
</div>
</div>
<div id="pathprecisionvalue" class="spline-options">
8
</div>
<div class="spline-options">
<input id="pathprecision" class="uk-range" type="range" min="0" max="16" step="1" value="8">
</div>
</div>
</div>
</div>
<script src="./bootstrap.js"></script>
</body>
</html>
webapp/app/index.js
-490
View File
@@ -1,490 +0,0 @@
import { BinaryImageConverter, ColorImageConverter } from 'vtracer';
let runner;
const canvas = document.getElementById('frame');
const ctx = canvas.getContext('2d');
const svg = document.getElementById('svg');
const img = new Image();
const progress = document.getElementById('progressbar');
const progressregion = document.getElementById('progressregion');
let mode = 'spline', clustering_mode = 'color', clustering_hierarchical = 'stacked';
// Hide canas and svg on load
canvas.style.display = 'none';
svg.style.display = 'none';
// Paste from clipboard
document.addEventListener('paste', function (e) {
if (e.clipboardData) {
var items = e.clipboardData.items;
if (!items) return;
//access data directly
for (var i = 0; i < items.length; i++) {
if (items[i].type.indexOf("image") !== -1) {
//image
var blob = items[i].getAsFile();
var URLObj = window.URL || window.webkitURL;
var source = URLObj.createObjectURL(blob);
setSourceAndRestart(source);
}
}
e.preventDefault();
}
});
// Download as SVG
document.getElementById('export').addEventListener('click', function (e) {
const blob = new Blob([
`<?xml version="1.0" encoding="UTF-8"?>\n`,
`<!-- Generator: visioncortex VTracer -->\n`,
new XMLSerializer().serializeToString(svg)
], {type: 'octet/stream'}),
url = window.URL.createObjectURL(blob);
this.href = url;
this.target = '_blank';
this.download = 'export-' + new Date().toISOString().slice(0, 19).replace(/:/g, '').replace('T', ' ') + '.svg';
});
// Store template config
var presetConfigs = [
{
src: 'assets/samples/K1_drawing.jpg',
clustering_mode: 'binary',
clustering_hierarchical: 'stacked',
filter_speckle: 4,
color_precision: 6,
path_precision: 8,
layer_difference: 16,
mode: 'spline',
corner_threshold: 60,
length_threshold: 4,
splice_threshold: 45,
source: 'https://commons.wikimedia.org/wiki/File:K1_drawing.jpg',
credit: '<a href="https://commons.wikimedia.org/">Wikimedia</a>',
},
{
src: 'assets/samples/Cityscape Sunset_DFM3-01.jpg',
clustering_mode: 'color',
clustering_hierarchical: 'stacked',
filter_speckle: 4,
color_precision: 8,
path_precision: 8,
layer_difference: 25,
mode: 'spline',
corner_threshold: 60,
length_threshold: 4,
splice_threshold: 45,
source: 'https://www.vecteezy.com/vector-art/227400-beautiful-cityscape-at-sunset',
credit: '<a href="https://www.vecteezy.com/free-vector/building">Building Vectors by Vecteezy</a>',
},
{
src: 'assets/samples/Gum Tree Vector.jpg',
clustering_mode: 'color',
clustering_hierarchical: 'stacked',
filter_speckle: 4,
color_precision: 8,
path_precision: 8,
layer_difference: 28,
mode: 'spline',
corner_threshold: 60,
length_threshold: 4,
splice_threshold: 45,
source: 'https://www.vecteezy.com/vector-art/172177-gum-tree-vector',
credit: '<a href="https://www.vecteezy.com/free-vector/nature">Nature Vectors by Vecteezy</a>',
},
{
src: 'assets/samples/vectorstock_31191940.png',
clustering_mode: 'color',
clustering_hierarchical: 'stacked',
filter_speckle: 8,
color_precision: 7,
path_precision: 8,
layer_difference: 64,
mode: 'spline',
corner_threshold: 60,
length_threshold: 4,
splice_threshold: 45,
source: 'https://www.vectorstock.com/royalty-free-vector/dessert-poster-design-with-chocolate-cake-mousses-vector-31191940',
credit: '<a href="https://www.vectorstock.com/royalty-free-vector/dessert-poster-design-with-chocolate-cake-mousses-vector-31191940">Vector image by VectorStock / vectorstock</a>',
},
{
src: 'assets/samples/angel-luciano-LATYeZyw88c-unsplash-s.jpg',
clustering_mode: 'color',
clustering_hierarchical: 'stacked',
filter_speckle: 10,
color_precision: 8,
path_precision: 8,
layer_difference: 48,
mode: 'spline',
corner_threshold: 180,
length_threshold: 4,
splice_threshold: 45,
source: 'https://unsplash.com/photos/LATYeZyw88c',
credit: '<span>Photo by <a href="https://unsplash.com/@roaming_angel?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Angel Luciano</a> on <a href="https://unsplash.com/s/photos/dog?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Unsplash</a></span>',
},
{
src: 'assets/samples/tank-unit-preview.png',
clustering_mode: 'color',
clustering_hierarchical: 'stacked',
filter_speckle: 0,
color_precision: 8,
path_precision: 8,
layer_difference: 0,
mode: 'none',
corner_threshold: 180,
length_threshold: 4,
splice_threshold: 45,
source: 'https://opengameart.org/content/sideview-sci-fi-patreon-collection',
credit: '<span>Artwork by <a href="https://opengameart.org/content/sideview-sci-fi-patreon-collection">Luis Zuno</a> on <a href="https://opengameart.org/">opengameart.org</a></span>',
},
];
// Insert gallery items dynamically
if (document.getElementById('galleryslider')) {
for (let i = 0; i < presetConfigs.length; i++) {
document.getElementById('galleryslider').innerHTML +=
`<li>
<div class="galleryitem uk-panel uk-flex uk-flex-center">
<a href="#">
<img src="${presetConfigs[i].src}" title="${presetConfigs[i].source}">
</a>
</div>
</li>`;
document.getElementById('credits-modal-content').innerHTML +=
`<p>${presetConfigs[i].credit}</p>`;
}
}
// Function to load a given config WITHOUT restarting
function loadConfig(config) {
mode = config.mode;
clustering_mode = config.clustering_mode;
clustering_hierarchical = config.clustering_hierarchical;
globalcorner = config.corner_threshold;
document.getElementById('cornervalue').innerHTML = globalcorner;
document.getElementById('corner').value = globalcorner;
globallength = config.length_threshold;
document.getElementById('lengthvalue').innerHTML = globallength;
document.getElementById('length').value = globallength;
globalsplice = config.splice_threshold;
document.getElementById('splicevalue').innerHTML = globalsplice;
document.getElementById('splice').value = globalsplice;
globalfilterspeckle = config.filter_speckle;
document.getElementById('filterspecklevalue').innerHTML = globalfilterspeckle;
document.getElementById('filterspeckle').value = globalfilterspeckle;
globalcolorprecision = config.color_precision;
document.getElementById('colorprecisionvalue').innerHTML = globalcolorprecision;
document.getElementById('colorprecision').value = globalcolorprecision;
globallayerdifference = config.layer_difference;
document.getElementById('layerdifferencevalue').innerHTML = globallayerdifference;
document.getElementById('layerdifference').value = globallayerdifference;
globalpathprecision = config.path_precision;
document.getElementById('pathprecisionvalue').innerHTML = globalpathprecision;
document.getElementById('pathprecision').value = globalpathprecision;
}
// Choose template from gallery
let chooseGalleryButtons = document.querySelectorAll('.galleryitem a');
chooseGalleryButtons.forEach(item => {
item.addEventListener('click', function (e) {
// Load preset template config
let i = Array.prototype.indexOf.call(chooseGalleryButtons, item);
if (presetConfigs.length > i) {
loadConfig(presetConfigs[i]);
}
// Set source as specified
setSourceAndRestart(this.firstElementChild.src);
});
});
// Upload button
var imageSelect = document.getElementById('imageSelect'),
imageInput = document.getElementById('imageInput');
imageSelect.addEventListener('click', function (e) {
imageInput.click();
e.preventDefault();
});
imageInput.addEventListener('change', function (e) {
setSourceAndRestart(this.files[0]);
});
// Drag-n-Drop
var drop = document.getElementById('drop');
var droptext = document.getElementById('droptext');
drop.addEventListener('dragenter', function (e) {
if (e.preventDefault) e.preventDefault();
e.dataTransfer.dropEffect = 'copy';
droptext.classList.add('hovering');
return false;
});
drop.addEventListener('dragleave', function (e) {
if (e.preventDefault) e.preventDefault();
e.dataTransfer.dropEffect = 'copy';
droptext.classList.remove('hovering');
return false;
});
drop.addEventListener('dragover', function (e) {
if (e.preventDefault) e.preventDefault();
e.dataTransfer.dropEffect = 'copy';
droptext.classList.add('hovering');
return false;
});
drop.addEventListener('drop', function (e) {
if (e.preventDefault) e.preventDefault();
droptext.classList.remove('hovering');
setSourceAndRestart(e.dataTransfer.files[0]);
return false;
});
// Get Input from UI controls
var globalcorner = parseInt(document.getElementById('corner').value),
globallength = parseFloat(document.getElementById('length').value),
globalsplice = parseInt(document.getElementById('splice').value),
globalfilterspeckle = parseInt(document.getElementById('filterspeckle').value),
globalcolorprecision = parseInt(document.getElementById('colorprecision').value),
globallayerdifference = parseInt(document.getElementById('layerdifference').value),
globalpathprecision = parseInt(document.getElementById('pathprecision').value);
// Load past inputs from localStorage
/*
if (localStorage.VSsettings) {
var settings = JSON.parse(localStorage.VSsettings);
document.getElementById('cornervalue').innerHTML = document.getElementById('corner').value = globalcorner = settings.globalcorner;
document.getElementById('lengthvalue').innerHTML = document.getElementById('length').value = globallength = settings.globallength;
document.getElementById('splicevalue').innerHTML = document.getElementById('splice').value = globalsplice = settings.globalsplice;
}
*/
document.getElementById('none').addEventListener('click', function (e) {
mode = 'none';
restart();
}, false);
document.getElementById('polygon').addEventListener('click', function (e) {
mode = 'polygon';
restart();
}, false);
document.getElementById('spline').addEventListener('click', function (e) {
mode = 'spline';
restart();
}, false);
document.getElementById('clustering-binary').addEventListener('click', function (e) {
clustering_mode = 'binary';
restart();
}, false);
document.getElementById('clustering-color').addEventListener('click', function (e) {
clustering_mode = 'color';
restart();
}, false);
document.getElementById('clustering-cutout').addEventListener('click', function (e) {
clustering_hierarchical = 'cutout';
restart();
}, false);
document.getElementById('clustering-stacked').addEventListener('click', function (e) {
clustering_hierarchical = 'stacked';
restart();
}, false);
document.getElementById('filterspeckle').addEventListener('change', function (e) {
globalfilterspeckle = parseInt(this.value);
document.getElementById('filterspecklevalue').innerHTML = this.value;
restart();
});
document.getElementById('colorprecision').addEventListener('change', function (e) {
globalcolorprecision = parseInt(this.value);
document.getElementById('colorprecisionvalue').innerHTML = this.value;
restart();
});
document.getElementById('layerdifference').addEventListener('change', function (e) {
globallayerdifference = parseInt(this.value);
document.getElementById('layerdifferencevalue').innerHTML = this.value;
restart();
});
document.getElementById('corner').addEventListener('change', function (e) {
globalcorner = parseInt(this.value);
document.getElementById('cornervalue').innerHTML = this.value;
restart();
});
document.getElementById('length').addEventListener('change', function (e) {
globallength = parseFloat(this.value);
document.getElementById('lengthvalue').innerHTML = this.value;
restart();
});
document.getElementById('splice').addEventListener('change', function (e) {
globalsplice = parseInt(this.value);
document.getElementById('splicevalue').innerHTML = this.value;
restart();
});
document.getElementById('pathprecision').addEventListener('change', function (e) {
globalpathprecision = parseInt(this.value);
document.getElementById('pathprecisionvalue').innerHTML = this.value;
restart();
});
// Save inputs before unloading
/*
window.addEventListener('beforeunload', function () {
localStorage.VSsettings = JSON.stringify({
globalcorner: globalcorner,
globallength: globallength,
globalsplice: globalsplice,
});
});
*/
function setSourceAndRestart(source) {
img.src = source instanceof File ? URL.createObjectURL(source) : source;
img.onload = function () {
const width = img.naturalWidth, height = img.naturalHeight;
svg.setAttribute('viewBox', `0 0 ${width} ${height}`);
canvas.width = img.naturalWidth;
canvas.height = img.naturalHeight;
if (height > width) {
document.getElementById('canvas-container').style.width = '50%';
document.getElementById('canvas-container').style.marginBottom = (height / width * 50) + '%';
} else {
document.getElementById('canvas-container').style.width = '';
document.getElementById('canvas-container').style.marginBottom = (height / width * 100) + '%';
}
ctx.drawImage(img, 0, 0, canvas.width, canvas.height);
ctx.getImageData(0, 0, canvas.width, canvas.height);
restart();
}
// Show display
canvas.style.display = 'block';
svg.style.display = 'block';
// Hide upload text
droptext.style.display = 'none';
}
function restart() {
document.getElementById('clustering-binary').classList.remove('selected');
document.getElementById('clustering-color').classList.remove('selected');
document.getElementById('clustering-' + clustering_mode).classList.add('selected');
Array.from(document.getElementsByClassName('clustering-color-options')).forEach((el) => {
el.style.display = clustering_mode == 'color' ? '' : 'none';
});
document.getElementById('clustering-cutout').classList.remove('selected');
document.getElementById('clustering-stacked').classList.remove('selected');
document.getElementById('clustering-' + clustering_hierarchical).classList.add('selected');
document.getElementById('none').classList.remove('selected');
document.getElementById('polygon').classList.remove('selected');
document.getElementById('spline').classList.remove('selected');
document.getElementById(mode).classList.add('selected');
Array.from(document.getElementsByClassName('spline-options')).forEach((el) => {
el.style.display = mode == 'spline' ? '' : 'none';
});
if (!img.src) {
return;
}
while (svg.firstChild) {
svg.removeChild(svg.firstChild);
}
ctx.clearRect(0, 0, canvas.width, canvas.height);
ctx.drawImage(img, 0, 0);
let converter_params = JSON.stringify({
'canvas_id': canvas.id,
'svg_id': svg.id,
'mode': mode,
'clustering_mode': clustering_mode,
'hierarchical': clustering_hierarchical,
'corner_threshold': deg2rad(globalcorner),
'length_threshold': globallength,
'max_iterations': 10,
'splice_threshold': deg2rad(globalsplice),
'filter_speckle': globalfilterspeckle*globalfilterspeckle,
'color_precision': 8-globalcolorprecision,
'layer_difference': globallayerdifference,
'path_precision': globalpathprecision,
});
if (runner) {
runner.stop();
}
runner = new ConverterRunner(converter_params);
progress.value = 0;
progressregion.style.display = 'block';
runner.run();
}
function deg2rad(deg) {
return deg/180*3.141592654;
}
class ConverterRunner {
constructor (converter_params) {
this.converter =
clustering_mode == 'color' ?
ColorImageConverter.new_with_string(converter_params):
BinaryImageConverter.new_with_string(converter_params);
this.converter.init();
this.stopped = false;
if (clustering_mode == 'binary') {
svg.style.background = '#fff';
canvas.style.display = 'none';
} else {
svg.style.background = '';
canvas.style.display = '';
}
canvas.style.opacity = '';
}
run () {
const This = this;
setTimeout(function tick () {
if (!This.stopped) {
let done = false;
const startTick = performance.now();
while (!(done = This.converter.tick()) &&
performance.now() - startTick < 25) {
}
progress.value = This.converter.progress();
if (progress.value >= 50) {
canvas.style.display = 'none';
} else {
canvas.style.opacity = (50 - progress.value) / 25;
}
if (progress.value >= progress.max) {
progressregion.style.display = 'none';
progress.value = 0;
}
if (!done) {
setTimeout(tick, 1);
}
}
}, 1);
}
stop () {
this.stopped = true;
this.converter.free();
}
}
webapp/app/package-lock.json
Generated
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webapp/app/package.json
-25
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@@ -1,25 +0,0 @@
{
"name": "vtracer-app",
"version": "0.1.0",
"description": "VTracer Webapp",
"author": "Chris Tsang <chris.2y3@outlook.com>",
"license": "proprietary",
"private": true,
"main": "index.js",
"scripts": {
"start": "webpack-dev-server",
"build": "webpack"
},
"keywords": [
"rust",
"wasm"
],
"dependencies": {
"vtracer": "file:../pkg",
"webpack": "^4.41.5"
},
"devDependencies": {
"webpack-cli": "^3.3.11",
"webpack-dev-server": "^3.10.1"
}
}
webapp/app/webpack.config.js
-14
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@@ -1,14 +0,0 @@
const path = require('path');
module.exports = {
entry: "./bootstrap.js",
output: {
path: path.resolve(__dirname, "dist"),
filename: "bootstrap.js",
},
mode: "development",
devServer: {
//host: "0.0.0.0",
port: 8080,
}
};
webapp/src/canvas.rs
-60
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@@ -1,60 +0,0 @@
use wasm_bindgen::{JsCast};
use web_sys::{console, CanvasRenderingContext2d, HtmlCanvasElement};
use visioncortex::{ColorImage};
use super::common::document;
pub struct Canvas {
html_canvas: HtmlCanvasElement,
cctx: CanvasRenderingContext2d,
}
impl Canvas {
pub fn new_from_id(canvas_id: &str) -> Canvas {
let html_canvas = document().get_element_by_id(canvas_id).unwrap();
let html_canvas: HtmlCanvasElement = html_canvas
.dyn_into::<HtmlCanvasElement>()
.map_err(|_| ())
.unwrap();
let cctx = html_canvas
.get_context("2d")
.unwrap()
.unwrap()
.dyn_into::<CanvasRenderingContext2d>()
.unwrap();
Canvas {
html_canvas,
cctx,
}
}
pub fn width(&self) -> usize {
self.html_canvas.width() as usize
}
pub fn height(&self) -> usize {
self.html_canvas.height() as usize
}
pub fn get_image_data(&self, x: u32, y: u32, width: u32, height: u32) -> Vec<u8> {
let image = self
.cctx
.get_image_data(x as f64, y as f64, width as f64, height as f64)
.unwrap();
image.data().to_vec()
}
pub fn get_image_data_as_color_image(&self, x: u32, y: u32, width: u32, height: u32) -> ColorImage {
ColorImage {
pixels: self.get_image_data(x, y, width, height),
width: width as usize,
height: height as usize,
}
}
pub fn log(&self, string: &str) {
console::log_1(&wasm_bindgen::JsValue::from_str(string));
}
}
webapp/src/common.rs
-7
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@@ -1,7 +0,0 @@
pub fn window() -> web_sys::Window {
web_sys::window().unwrap()
}
pub fn document() -> web_sys::Document {
window().document().unwrap()
}
webapp/src/conversion/binary_image.rs
-98
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@@ -1,98 +0,0 @@
use wasm_bindgen::prelude::*;
use visioncortex::{clusters::Clusters, Color, ColorName, PathSimplifyMode};
use crate::{canvas::*};
use crate::svg::*;
use serde::Deserialize;
use super::util;
#[derive(Debug, Deserialize)]
pub struct BinaryImageConverterParams {
pub canvas_id: String,
pub svg_id: String,
pub mode: String,
pub corner_threshold: f64,
pub length_threshold: f64,
pub max_iterations: usize,
pub splice_threshold: f64,
pub filter_speckle: usize,
pub path_precision: u32,
}
#[wasm_bindgen]
pub struct BinaryImageConverter {
canvas: Canvas,
svg: Svg,
clusters: Clusters,
counter: usize,
mode: PathSimplifyMode,
params: BinaryImageConverterParams,
}
impl BinaryImageConverter {
pub fn new(params: BinaryImageConverterParams) -> Self {
let canvas = Canvas::new_from_id(&params.canvas_id);
let svg = Svg::new_from_id(&params.svg_id);
Self {
canvas,
svg,
clusters: Clusters::default(),
counter: 0,
mode: util::path_simplify_mode(&params.mode),
params,
}
}
}
#[wasm_bindgen]
impl BinaryImageConverter {
pub fn new_with_string(params: String) -> Self {
let params: BinaryImageConverterParams = serde_json::from_str(params.as_str()).unwrap();
Self::new(params)
}
pub fn init(&mut self) {
let width = self.canvas.width() as u32;
let height = self.canvas.height() as u32;
let image = self.canvas.get_image_data_as_color_image(0, 0, width, height);
let binary_image = image.to_binary_image(|x| x.r < 128);
self.clusters = binary_image.to_clusters(false);
self.canvas.log(&format!(
"clusters.len() = {}, self.clusters.rect.left = {}",
self.clusters.len(),
self.clusters.rect.left
));
}
pub fn tick(&mut self) -> bool {
if self.counter < self.clusters.len() {
self.canvas.log(&format!("tick {}", self.counter));
let cluster = self.clusters.get_cluster(self.counter);
if cluster.size() >= self.params.filter_speckle {
let paths = cluster.to_compound_path(
self.mode,
self.params.corner_threshold,
self.params.length_threshold,
self.params.max_iterations,
self.params.splice_threshold
);
let color = Color::color(&ColorName::Black);
self.svg.prepend_path(
&paths,
&color,
Some(self.params.path_precision),
);
}
self.counter += 1;
false
} else {
self.canvas.log("done");
true
}
}
pub fn progress(&self) -> u32 {
100 * self.counter as u32 / self.clusters.len() as u32
}
}
webapp/src/conversion/color_image.rs
-174
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@@ -1,174 +0,0 @@
use wasm_bindgen::prelude::*;
use visioncortex::PathSimplifyMode;
use visioncortex::color_clusters::{Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX, IncrementalBuilder, KeyingAction};
use crate::canvas::*;
use crate::svg::*;
use serde::Deserialize;
use super::util;
#[derive(Debug, Deserialize)]
pub struct ColorImageConverterParams {
pub canvas_id: String,
pub svg_id: String,
pub mode: String,
pub hierarchical: String,
pub corner_threshold: f64,
pub length_threshold: f64,
pub max_iterations: usize,
pub splice_threshold: f64,
pub filter_speckle: usize,
pub color_precision: i32,
pub layer_difference: i32,
pub path_precision: u32,
}
#[wasm_bindgen]
pub struct ColorImageConverter {
canvas: Canvas,
svg: Svg,
stage: Stage,
counter: usize,
mode: PathSimplifyMode,
params: ColorImageConverterParams,
}
pub enum Stage {
New,
Clustering(IncrementalBuilder),
Reclustering(IncrementalBuilder),
Vectorize(Clusters),
}
impl ColorImageConverter {
pub fn new(params: ColorImageConverterParams) -> Self {
let canvas = Canvas::new_from_id(&params.canvas_id);
let svg = Svg::new_from_id(&params.svg_id);
Self {
canvas,
svg,
stage: Stage::New,
counter: 0,
mode: util::path_simplify_mode(&params.mode),
params,
}
}
}
#[wasm_bindgen]
impl ColorImageConverter {
pub fn new_with_string(params: String) -> Self {
let params: ColorImageConverterParams = serde_json::from_str(params.as_str()).unwrap();
Self::new(params)
}
pub fn init(&mut self) {
let width = self.canvas.width() as u32;
let height = self.canvas.height() as u32;
let image = self.canvas.get_image_data_as_color_image(0, 0, width, height);
let runner = Runner::new(RunnerConfig {
diagonal: self.params.layer_difference == 0,
hierarchical: HIERARCHICAL_MAX,
batch_size: 25600,
good_min_area: self.params.filter_speckle,
good_max_area: (width * height) as usize,
is_same_color_a: self.params.color_precision,
is_same_color_b: 1,
deepen_diff: self.params.layer_difference,
hollow_neighbours: 1,
key_color: Default::default(),
keying_action: KeyingAction::Discard,
}, image);
self.stage = Stage::Clustering(runner.start());
}
pub fn tick(&mut self) -> bool {
match &mut self.stage {
Stage::New => {
panic!("uninitialized");
},
Stage::Clustering(builder) => {
self.canvas.log("Clustering tick");
if builder.tick() {
match self.params.hierarchical.as_str() {
"stacked" => {
self.stage = Stage::Vectorize(builder.result());
},
"cutout" => {
let clusters = builder.result();
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: Default::default(),
keying_action: KeyingAction::Discard,
}, image);
self.stage = Stage::Reclustering(runner.start());
},
_ => panic!("unknown hierarchical `{}`", self.params.hierarchical)
}
}
false
},
Stage::Reclustering(builder) => {
self.canvas.log("Reclustering tick");
if builder.tick() {
self.stage = Stage::Vectorize(builder.result())
}
false
},
Stage::Vectorize(clusters) => {
let view = clusters.view();
if self.counter < view.clusters_output.len() {
self.canvas.log("Vectorize tick");
let cluster = view.get_cluster(view.clusters_output[self.counter]);
let paths = cluster.to_compound_path(
&view, false, self.mode,
self.params.corner_threshold,
self.params.length_threshold,
self.params.max_iterations,
self.params.splice_threshold
);
self.svg.prepend_path(
&paths,
&cluster.residue_color(),
Some(self.params.path_precision),
);
self.counter += 1;
false
} else {
self.canvas.log("done");
true
}
}
}
}
pub fn progress(&self) -> i32 {
(match &self.stage {
Stage::New => {
0
},
Stage::Clustering(builder) => {
builder.progress() / 2
},
Stage::Reclustering(_builder) => {
50
},
Stage::Vectorize(clusters) => {
50 + 50 * self.counter as u32 / clusters.view().clusters_output.len() as u32
}
}) as i32
}
}
webapp/src/conversion/mod.rs
-6
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@@ -1,6 +0,0 @@
mod binary_image;
mod color_image;
mod util;
pub use binary_image::*;
pub use color_image::*;
webapp/src/conversion/util.rs
-10
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@@ -1,10 +0,0 @@
use visioncortex::PathSimplifyMode;
pub fn path_simplify_mode(s: &str) -> PathSimplifyMode {
match s {
"polygon" => PathSimplifyMode::Polygon,
"spline" => PathSimplifyMode::Spline,
"none" => PathSimplifyMode::None,
_ => panic!("unknown PathSimplifyMode {}", s),
}
}
webapp/src/lib.rs
-25
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@@ -1,25 +0,0 @@
// Copyright 2020 Tsang Hao Fung. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
#![doc(
html_logo_url = "https://github.com/visioncortex/vtracer/raw/master/docs/images/visioncortex icon.png"
)]
use wasm_bindgen::prelude::*;
mod conversion;
mod canvas;
mod common;
mod svg;
mod utils;
#[wasm_bindgen(start)]
pub fn main() {
utils::set_panic_hook();
console_log::init().unwrap();
}
webapp/src/svg.rs
-34
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@@ -1,34 +0,0 @@
use web_sys::Element;
use visioncortex::{Color, CompoundPath, PointF64};
use super::common::document;
pub struct Svg {
element: Element,
}
impl Svg {
pub fn new_from_id(svg_id: &str) -> Self {
let element = document().get_element_by_id(svg_id).unwrap();
Self { element }
}
pub fn prepend_path(&mut self, paths: &CompoundPath, color: &Color, precision: Option<u32>) {
let path = document()
.create_element_ns(Some("http://www.w3.org/2000/svg"), "path")
.unwrap();
let (string, offset) = paths.to_svg_string(true, PointF64::default(), precision);
path.set_attribute("d", &string).unwrap();
path.set_attribute(
"transform",
format!("translate({},{})", offset.x, offset.y).as_str(),
)
.unwrap();
path.set_attribute(
"style",
format!("fill: {};", color.to_hex_string()).as_str(),
)
.unwrap();
self.element.prepend_with_node_1(&path).unwrap();
}
}
webapp/src/utils.rs
-13
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@@ -1,13 +0,0 @@
extern crate cfg_if;
cfg_if::cfg_if! {
// When the `console_error_panic_hook` feature is enabled, we can call the
// `set_panic_hook` function to get better error messages if we ever panic.
if #[cfg(feature = "console_error_panic_hook")] {
extern crate console_error_panic_hook;
pub use self::console_error_panic_hook::set_once as set_panic_hook;
} else {
#[inline]
pub fn set_panic_hook() {}
}
}