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@@ -0,0 +1 @@
|
||||
docs/** linguist-generated
|
||||
@@ -0,0 +1,117 @@
|
||||
# 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: --release --out dist --find-interpreter
|
||||
sccache: 'true'
|
||||
manylinux: auto
|
||||
- name: Upload wheels
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: wheels
|
||||
path: dist
|
||||
|
||||
windows:
|
||||
runs-on: windows-latest
|
||||
strategy:
|
||||
matrix:
|
||||
target: [x64, x86]
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: '3.10'
|
||||
architecture: ${{ matrix.target }}
|
||||
- name: Build wheels
|
||||
uses: PyO3/maturin-action@v1
|
||||
with:
|
||||
target: ${{ matrix.target }}
|
||||
args: --release --out dist --find-interpreter
|
||||
sccache: 'true'
|
||||
- name: Upload wheels
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: wheels
|
||||
path: dist
|
||||
|
||||
macos:
|
||||
runs-on: macos-latest
|
||||
strategy:
|
||||
matrix:
|
||||
target: [x86_64, aarch64]
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: '3.10'
|
||||
- name: Build wheels
|
||||
uses: PyO3/maturin-action@v1
|
||||
with:
|
||||
target: ${{ matrix.target }}
|
||||
args: --release --out dist --find-interpreter
|
||||
sccache: 'true'
|
||||
- name: Upload wheels
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: wheels
|
||||
path: dist
|
||||
|
||||
sdist:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- name: Build sdist
|
||||
uses: PyO3/maturin-action@v1
|
||||
with:
|
||||
command: sdist
|
||||
args: --out dist
|
||||
- name: Upload sdist
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: wheels
|
||||
path: dist
|
||||
|
||||
release:
|
||||
name: Release
|
||||
runs-on: ubuntu-latest
|
||||
if: "startsWith(github.ref, 'refs/tags/')"
|
||||
needs: [linux, windows, macos, sdist]
|
||||
steps:
|
||||
- uses: actions/download-artifact@v3
|
||||
with:
|
||||
name: wheels
|
||||
- name: Publish to PyPI
|
||||
uses: PyO3/maturin-action@v1
|
||||
env:
|
||||
MATURIN_PYPI_TOKEN: ${{ secrets.PYPI_API_TOKEN }}
|
||||
with:
|
||||
command: upload
|
||||
args: --non-interactive --skip-existing *
|
||||
@@ -0,0 +1,22 @@
|
||||
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
|
||||
@@ -0,0 +1,30 @@
|
||||
# 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 - 2023-09-08
|
||||
|
||||
* 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
|
||||
@@ -1,6 +1,7 @@
|
||||
[workspace]
|
||||
|
||||
members = [
|
||||
"cmdapp",
|
||||
"cmdapp",
|
||||
"webapp",
|
||||
]
|
||||
]
|
||||
resolver = "2"
|
||||
@@ -0,0 +1,25 @@
|
||||
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.
|
||||
@@ -0,0 +1,108 @@
|
||||
<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.
|
||||
|
||||

|
||||
|
||||

|
||||
|
||||
## 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>
|
||||
@@ -0,0 +1,27 @@
|
||||
# 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
|
||||
@@ -1,52 +0,0 @@
|
||||

|
||||
|
||||
# visioncortex VTracer
|
||||
|
||||
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]() 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 Live Trace, VTracer's output is much more compact (less shapes) as we adopt a stacking strategy and avoid producing shapes with holes.
|
||||
|
||||
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 + HTML5 platform.
|
||||
|
||||

|
||||
|
||||

|
||||
|
||||
## Command Line
|
||||
```
|
||||
visioncortex VTracer
|
||||
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
|
||||
-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
|
||||
--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
|
||||
```
|
||||
@@ -1,8 +1,8 @@
|
||||
[package]
|
||||
name = "vtracer"
|
||||
version = "0.1.0"
|
||||
authors = ["Chris Tsang <tyt2y7@gmail.com>"]
|
||||
edition = "2018"
|
||||
version = "0.6.3"
|
||||
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"
|
||||
@@ -13,4 +13,9 @@ keywords = ["svg", "computer-graphics"]
|
||||
[dependencies]
|
||||
clap = "2.33.3"
|
||||
image = "0.23.10"
|
||||
visioncortex = "0.2.0"
|
||||
visioncortex = { version = "0.8.0" }
|
||||
fastrand = "1.8"
|
||||
pyo3 = { version = "0.19.0", optional = true }
|
||||
|
||||
[features]
|
||||
python-binding = ["pyo3"]
|
||||
@@ -1,4 +1,4 @@
|
||||
Copyright (c) 2020 Tsang Hao Fung
|
||||
Copyright (c) 2022 Tsang Hao Fung
|
||||
|
||||
Permission is hereby granted, free of charge, to any
|
||||
person obtaining a copy of this software and associated
|
||||
|
||||
@@ -0,0 +1,28 @@
|
||||
[project]
|
||||
name = "vtracer"
|
||||
version = "0.6.3"
|
||||
description = "Python bindings for the Rust Vtracer raster-to-vector library"
|
||||
authors = [ { name = "Chris Tsang", email = "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 = "linux"
|
||||
sdist-include = ["../LICENSE", "../README.md"]
|
||||
@@ -1,7 +1,7 @@
|
||||
use std::str::FromStr;
|
||||
use std::path::PathBuf;
|
||||
use clap::{Arg, App};
|
||||
use visioncortex::path::PathSimplifyMode;
|
||||
use visioncortex::PathSimplifyMode;
|
||||
|
||||
pub enum Preset {
|
||||
Bw,
|
||||
@@ -9,18 +9,22 @@ pub enum Preset {
|
||||
Photo
|
||||
}
|
||||
|
||||
#[derive(Debug)]
|
||||
pub enum ColorMode {
|
||||
Color,
|
||||
Binary,
|
||||
}
|
||||
|
||||
pub enum Hierarchical {
|
||||
Stacked,
|
||||
Cutout,
|
||||
}
|
||||
|
||||
/// Converter config
|
||||
#[derive(Debug)]
|
||||
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,
|
||||
@@ -29,13 +33,14 @@ pub struct Config {
|
||||
pub length_threshold: f64,
|
||||
pub max_iterations: usize,
|
||||
pub splice_threshold: i32,
|
||||
pub path_precision: Option<u32>,
|
||||
}
|
||||
|
||||
#[derive(Debug)]
|
||||
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,
|
||||
@@ -44,6 +49,7 @@ pub(crate) struct ConverterConfig {
|
||||
pub length_threshold: f64,
|
||||
pub max_iterations: usize,
|
||||
pub splice_threshold: f64,
|
||||
pub path_precision: Option<u32>,
|
||||
}
|
||||
|
||||
impl Default for Config {
|
||||
@@ -52,6 +58,7 @@ impl Default for Config {
|
||||
input_path: PathBuf::default(),
|
||||
output_path: PathBuf::default(),
|
||||
color_mode: ColorMode::Color,
|
||||
hierarchical: Hierarchical::Stacked,
|
||||
mode: PathSimplifyMode::Spline,
|
||||
filter_speckle: 4,
|
||||
color_precision: 6,
|
||||
@@ -60,6 +67,7 @@ impl Default for Config {
|
||||
length_threshold: 4.0,
|
||||
splice_threshold: 45,
|
||||
max_iterations: 10,
|
||||
path_precision: Some(8),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -76,6 +84,18 @@ impl FromStr for ColorMode {
|
||||
}
|
||||
}
|
||||
|
||||
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;
|
||||
|
||||
@@ -100,7 +120,8 @@ fn path_simplify_mode_from_str(s: &str) -> PathSimplifyMode {
|
||||
|
||||
impl Config {
|
||||
pub fn from_args() -> Self {
|
||||
let app = App::new("visioncortex VTracer").about("A cmd app to convert images into vector graphics.");
|
||||
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")
|
||||
@@ -121,6 +142,14 @@ impl Config {
|
||||
.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)
|
||||
@@ -168,6 +197,11 @@ impl Config {
|
||||
.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();
|
||||
|
||||
@@ -186,6 +220,10 @@ impl Config {
|
||||
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" {
|
||||
@@ -195,19 +233,19 @@ impl Config {
|
||||
} else if value == "spline" {
|
||||
"spline"
|
||||
} else {
|
||||
panic!("Parser Error: Curve fitting mode is invalid with value {}", value);
|
||||
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 < 1 || value > 16 {
|
||||
panic!("Out of Range Error: Filter speckle is invalid at {}. It must be within [1,16].", value);
|
||||
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 with value {}.", value);
|
||||
panic!("Parser Error: Filter speckle is not a positive integer: {}.", value);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -219,7 +257,7 @@ impl Config {
|
||||
}
|
||||
config.color_precision = value;
|
||||
} else {
|
||||
panic!("Parser Error: Color precision is not an integer with value {}.", value);
|
||||
panic!("Parser Error: Color precision is not an integer: {}.", value);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -231,7 +269,7 @@ impl Config {
|
||||
}
|
||||
config.layer_difference = value;
|
||||
} else {
|
||||
panic!("Parser Error: Gradient step is not an integer with value {}.", value);
|
||||
panic!("Parser Error: Gradient step is not an integer: {}.", value);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -243,7 +281,7 @@ impl Config {
|
||||
}
|
||||
config.corner_threshold = value
|
||||
} else {
|
||||
panic!("Parser Error: Corner threshold is not numeric with value {}.", value);
|
||||
panic!("Parser Error: Corner threshold is not numeric: {}.", value);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -255,7 +293,7 @@ impl Config {
|
||||
}
|
||||
config.length_threshold = value;
|
||||
} else {
|
||||
panic!("Parser Error: Segment length is not numeric with value {}.", value);
|
||||
panic!("Parser Error: Segment length is not numeric: {}.", value);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -267,7 +305,16 @@ impl Config {
|
||||
}
|
||||
config.splice_threshold = value;
|
||||
} else {
|
||||
panic!("Parser Error: Segment length is not numeric with value {}.", value);
|
||||
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);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -282,6 +329,7 @@ impl Config {
|
||||
input_path,
|
||||
output_path,
|
||||
color_mode: ColorMode::Binary,
|
||||
hierarchical: Hierarchical::Stacked,
|
||||
filter_speckle: 4,
|
||||
color_precision: 6,
|
||||
layer_difference: 16,
|
||||
@@ -290,11 +338,13 @@ impl Config {
|
||||
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,
|
||||
@@ -303,11 +353,13 @@ impl Config {
|
||||
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,
|
||||
@@ -316,6 +368,7 @@ impl Config {
|
||||
length_threshold: 4.0,
|
||||
max_iterations: 10,
|
||||
splice_threshold: 45,
|
||||
path_precision: Some(8),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -325,6 +378,7 @@ impl Config {
|
||||
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,
|
||||
@@ -333,6 +387,7 @@ impl Config {
|
||||
length_threshold: self.length_threshold,
|
||||
max_iterations: self.max_iterations,
|
||||
splice_threshold: deg2rad(self.splice_threshold),
|
||||
path_precision: self.path_precision,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,10 +1,17 @@
|
||||
use std::path::PathBuf;
|
||||
use std::{fs::File, io::Write};
|
||||
|
||||
use visioncortex::{Color, ColorImage, ColorName, color_clusters::RunnerConfig, color_clusters::Runner};
|
||||
use super::config::{Config, ColorMode, ConverterConfig};
|
||||
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();
|
||||
@@ -14,8 +21,68 @@ pub fn convert_image_to_svg(config: Config) -> Result<(), String> {
|
||||
}
|
||||
}
|
||||
|
||||
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 (img, width, height);
|
||||
let (mut img, width, height);
|
||||
match read_image(config.input_path) {
|
||||
Ok(values) => {
|
||||
img = values.0;
|
||||
@@ -25,7 +92,24 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
|
||||
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),
|
||||
@@ -33,16 +117,44 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
|
||||
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 clusters = runner.run();
|
||||
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);
|
||||
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 svg_path = cluster.to_svg_path(
|
||||
let paths = cluster.to_compound_path(
|
||||
&view,
|
||||
false,
|
||||
config.mode,
|
||||
@@ -51,22 +163,14 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
|
||||
config.max_iterations,
|
||||
config.splice_threshold
|
||||
);
|
||||
svg.add_path(svg_path, cluster.residue_color());
|
||||
svg.add_path(paths, cluster.residue_color());
|
||||
}
|
||||
|
||||
let out_file = File::create(config.output_path);
|
||||
let mut out_file = match out_file {
|
||||
Ok(file) => file,
|
||||
Err(_) => return Err(String::from("Cannot create output file.")),
|
||||
};
|
||||
|
||||
out_file.write_all(&svg.to_svg_file().as_bytes()).unwrap();
|
||||
|
||||
Ok(())
|
||||
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) => {
|
||||
@@ -79,20 +183,19 @@ fn binary_image_to_svg(config: ConverterConfig) -> Result<(), String> {
|
||||
let img = img.to_binary_image(|x| x.r < 128);
|
||||
|
||||
let clusters = img.to_clusters(false);
|
||||
|
||||
let mut svg = SvgFile::new(width, height);
|
||||
|
||||
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 svg_path = cluster.to_svg_path(
|
||||
let paths = cluster.to_compound_path(
|
||||
config.mode,
|
||||
config.corner_threshold,
|
||||
config.length_threshold,
|
||||
config.max_iterations,
|
||||
config.splice_threshold,
|
||||
);
|
||||
let color = Color::color(&ColorName::Black);
|
||||
svg.add_path(svg_path, color);
|
||||
svg.add_path(paths, Color::color(&ColorName::Black));
|
||||
}
|
||||
}
|
||||
|
||||
@@ -102,7 +205,7 @@ fn binary_image_to_svg(config: ConverterConfig) -> Result<(), String> {
|
||||
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_rgba(),
|
||||
Ok(file) => file.to_rgba8(),
|
||||
Err(_) => return Err(String::from("No image file found at specified input path")),
|
||||
};
|
||||
|
||||
@@ -118,8 +221,8 @@ fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
|
||||
Ok(file) => file,
|
||||
Err(_) => return Err(String::from("Cannot create output file.")),
|
||||
};
|
||||
|
||||
out_file.write_all(&svg.to_svg_file().as_bytes()).unwrap();
|
||||
|
||||
write!(&mut out_file, "{}", svg).expect("failed to write file.");
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@@ -11,7 +11,11 @@
|
||||
mod config;
|
||||
mod converter;
|
||||
mod svg;
|
||||
#[cfg(feature = "python-binding")]
|
||||
mod python;
|
||||
|
||||
pub use config::*;
|
||||
pub use converter::*;
|
||||
pub use svg::*;
|
||||
pub use svg::*;
|
||||
#[cfg(feature = "python-binding")]
|
||||
pub use python::*;
|
||||
@@ -0,0 +1,81 @@
|
||||
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(())
|
||||
}
|
||||
@@ -1,43 +1,65 @@
|
||||
use visioncortex::Color;
|
||||
|
||||
pub struct SvgPath {
|
||||
path: String,
|
||||
color: Color,
|
||||
}
|
||||
use std::fmt;
|
||||
use visioncortex::{Color, CompoundPath, PointF64};
|
||||
|
||||
pub struct SvgFile {
|
||||
patches: Vec<SvgPath>,
|
||||
width: usize,
|
||||
height: usize,
|
||||
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) -> Self {
|
||||
pub fn new(width: usize, height: usize, path_precision: Option<u32>) -> Self {
|
||||
SvgFile {
|
||||
patches: vec![],
|
||||
paths: vec![],
|
||||
width,
|
||||
height,
|
||||
path_precision,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn add_path(&mut self, path: String, color: Color) {
|
||||
self.patches.push(SvgPath {
|
||||
pub fn add_path(&mut self, path: CompoundPath, color: Color) {
|
||||
self.paths.push(SvgPath {
|
||||
path,
|
||||
color
|
||||
color,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
pub fn to_svg_file(&self) -> String {
|
||||
let mut result: Vec<String> = vec![format!(r#"<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg width="{}" height="{}">
|
||||
"#, self.width, self.height)];
|
||||
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 patch in &self.patches {
|
||||
let color = patch.color;
|
||||
result.push(format!("<path d=\"{}\" fill=\"#{:02x}{:02x}{:02x}\"/>\n", patch.path, color.r, color.g, color.b));
|
||||
for path in &self.paths {
|
||||
path.fmt_with_precision(f, self.path_precision)?;
|
||||
};
|
||||
|
||||
result.push(String::from("</svg>"));
|
||||
result.concat()
|
||||
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
|
||||
)
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,75 @@
|
||||
<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).
|
||||
@@ -0,0 +1 @@
|
||||
from .vtracer import convert_image_to_svg_py
|
||||
@@ -0,0 +1,17 @@
|
||||
from typing import Optional
|
||||
|
||||
def convert_image_to_svg_py(image_path: str,
|
||||
out_path: str,
|
||||
colormode: Optional[str] = None, # ["color"] or "binary"
|
||||
hierarchical: Optional[str] = None, # ["stacked"] or "cutout"
|
||||
mode: Optional[str] = None, # ["spline"], "polygon", "none"
|
||||
filter_speckle: Optional[int] = None, # default: 4
|
||||
color_precision: Optional[int] = None, # default: 6
|
||||
layer_difference: Optional[int] = None, # default: 16
|
||||
corner_threshold: Optional[int] = None, # default: 60
|
||||
length_threshold: Optional[float] = None, # in [3.5, 10] default: 4.0
|
||||
max_iterations: Optional[int] = None, # default: 10
|
||||
splice_threshold: Optional[int] = None, # default: 45
|
||||
path_precision: Optional[int] = None, # default: 8
|
||||
) -> None:
|
||||
...
|
||||
@@ -0,0 +1,3 @@
|
||||
Copyright (c) 2020 Tsang Hao Fung
|
||||
|
||||
The content in the /docs directory is for GitHub pages, and is not covered under open source licenses.
|
||||
@@ -1,23 +0,0 @@
|
||||
K1_drawing
|
||||
B/W 4
|
||||
https://commons.wikimedia.org/wiki/File:K1_drawing.jpg
|
||||
|
||||
Cityscape Sunset_DFM3-01
|
||||
Color 4,8,32
|
||||
<a href="https://www.vecteezy.com/free-vector/building">Building Vectors by Vecteezy</a>
|
||||
|
||||
Gum Tree Vector
|
||||
Color 4,8,32
|
||||
<a href="https://www.vecteezy.com/free-vector/nature">Nature Vectors by Vecteezy</a>
|
||||
|
||||
vectorstock_31191940
|
||||
Color 8,7,64
|
||||
<a href="https://www.vectorstock.com/royalty-free-vector/dessert-poster-design-with-chocolate-cake-mousses-vector-31191940">Vector image by VectorStock / vectorstock</a>
|
||||
|
||||
averie-woodard-4nulm-JUYFo-unsplash
|
||||
Color 8,7,24
|
||||
<span>Photo by <a href="https://unsplash.com/@averieclaire?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">averie woodard</a> on <a href="https://unsplash.com/s/photos/portrait?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a></span>
|
||||
|
||||
angel-luciano-LATYeZyw88c-unsplash
|
||||
Color 10,8,48 180
|
||||
<span>Photo by <a href="https://unsplash.com/@roaming_angel?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Angel Luciano</a> on <a href="https://unsplash.com/s/photos/dog?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a></span>
|
||||
|
Before Width: | Height: | Size: 304 KiB |
|
Before Width: | Height: | Size: 3.9 MiB |
|
After Width: | Height: | Size: 9.7 KiB |
@@ -258,7 +258,7 @@
|
||||
/******/ promises.push(installedWasmModuleData);
|
||||
/******/ else {
|
||||
/******/ var importObject = wasmImportObjects[wasmModuleId]();
|
||||
/******/ var req = fetch(__webpack_require__.p + "" + {"../pkg/vtracer_webapp_bg.wasm":"a62b3494f02004811a57"}[wasmModuleId] + ".module.wasm");
|
||||
/******/ var req = fetch(__webpack_require__.p + "" + {"../pkg/vtracer_webapp_bg.wasm":"589cb57662b50620abca"}[wasmModuleId] + ".module.wasm");
|
||||
/******/ var promise;
|
||||
/******/ if(importObject instanceof Promise && typeof WebAssembly.compileStreaming === 'function') {
|
||||
/******/ promise = Promise.all([WebAssembly.compileStreaming(req), importObject]).then(function(items) {
|
||||
|
||||
|
After Width: | Height: | Size: 1.1 KiB |
@@ -0,0 +1,44 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<!-- Generator: Adobe Illustrator 19.2.1, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
|
||||
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
|
||||
viewBox="0 0 1783.4 441.4" style="enable-background:new 0 0 1783.4 441.4;" xml:space="preserve">
|
||||
<style type="text/css">
|
||||
.st0{fill:#A1FCFE;}
|
||||
.st1{fill:#010357;}
|
||||
</style>
|
||||
<rect class="st0" width="1783.4" height="441.4"/>
|
||||
<g>
|
||||
<path class="st1" d="M61.4,393.2V73.8H250V113H109v100.4h124.2v39.7H109v140.1L61.4,393.2L61.4,393.2z"/>
|
||||
<path class="st1" d="M280,393.2V159.7h45.3v233.5L280,393.2L280,393.2z M330.9,92.4c0-15.5-12.5-28-28-28s-28,12.5-28,28
|
||||
s12.5,28,28,28S330.9,107.9,330.9,92.4z"/>
|
||||
<path class="st1" d="M383.5,338.6V57.9h45.3v278.8c0,21,3.7,26.1,18.7,26.1c6.1,0,11.7-0.5,16.8-1.4v30.4
|
||||
c-9.8,2.8-20.1,4.2-29.9,4.2C400.3,396,383.5,376.9,383.5,338.6z"/>
|
||||
<path class="st1" d="M480.6,275.5c0-78.5,41.6-121.4,110.2-121.4c31.3,0,55.6,9.8,72.9,29.9c17.3,19.6,26.2,45.3,26.2,77.5
|
||||
c0,7-0.5,14.9-1.9,24.3H525.4c0.9,50.9,22.4,76.6,64.4,76.6c31.8,0,53.2-14.5,53.2-42H687c0,48.6-39.7,77.5-97.6,77.5
|
||||
C521.7,397.9,480.6,357.3,480.6,275.5z M645,251.7c-0.9-41.6-19.6-62.1-55.6-62.1c-39.7,0-59.8,24.3-63.5,62.1H645z"/>
|
||||
<path class="st1" d="M720.7,323.2h44.8c1.9,28.5,18.7,38.8,51.8,38.8c28.5,0,46.7-15,46.7-35c0-20.6-16.8-28.5-48.1-36l-13.1-2.8
|
||||
l-14.5-3.7l-12.6-4.2c-6.1-1.9-10.7-3.3-13.1-4.7c-5.1-3.3-17.3-8.9-21.5-14.5c-7.5-8.9-15.4-21.5-14-38.8c0-21,8.4-37.8,25.2-50
|
||||
c17.3-12.1,37.8-18.2,62.1-18.2c55.6,0,91.5,22.4,91.5,72.4h-43c-0.5-26.6-16.8-36.4-49-36.4c-24.3,0-40.6,11.2-40.6,31.3
|
||||
c0,18.7,15.9,25.7,49,33.6l5.6,1.4c10.3,2.3,18.2,4.7,23.3,6.1c5.1,1.4,12.1,4.2,21,8.4c23.8,10.3,34.6,25.7,36.9,56
|
||||
c0,43.4-37.8,71-92.5,71C754.8,397.9,720.7,371.7,720.7,323.2z"/>
|
||||
<path class="st1" d="M964,336.7V192.4h-39.2v-32.7h39.7V94.3h44.8v65.4h64v32.7h-64v143.4c0,17.3,8.9,25.7,26.2,25.7
|
||||
c14.5,0,28-1.9,39.7-5.1v34.6c-13.6,4.2-28,6.1-43.4,6.1C986.9,397,964,375.5,964,336.7z"/>
|
||||
<path class="st1" d="M1095.3,325.5c0-44.8,35-69.6,93.4-69.6h58.4v-20.6c0-28.5-16.8-45.8-50-45.8c-35.5,0-51.8,16.8-51.8,41.6
|
||||
h-43.4c0-44.8,33.2-77.1,95.3-77.1c61.2,0,95.7,30.4,95.7,83.1v92.5c0,26.1,3.7,32.2,17.3,33.6h6.5v29.4
|
||||
c-4.7,1.4-11.7,2.3-21.5,2.3c-26.6,0-41.6-15.9-43.4-41.6c-8.9,23.8-36.4,44.4-74.3,44.4C1127.5,397.9,1095.3,368.5,1095.3,325.5z
|
||||
M1247.1,297.5v-9.3h-58.4c-32.2,0-48.6,12.6-48.6,37.4c0,22.9,14,36.9,41.6,36.9C1222.3,362.4,1247.1,334.4,1247.1,297.5z"/>
|
||||
<path class="st1" d="M1351.7,395.1V161.6h43.9l0.9,36.4h0.9c11.7-24.8,34.1-40.6,62.1-40.6c8.4,0,15.9,0.9,22.9,3.3v38.8
|
||||
c-7.5-1.4-15.9-1.9-25.7-1.9c-33.2,0-59.3,28-59.3,72.9v124.7H1351.7z"/>
|
||||
<g>
|
||||
<g>
|
||||
<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"/>
|
||||
</g>
|
||||
<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"/>
|
||||
</g>
|
||||
<g>
|
||||
<rect x="1621.7" y="73.8" class="st1" width="34" height="179.4"/>
|
||||
</g>
|
||||
</g>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 3.1 KiB |
|
Before Width: | Height: | Size: 160 KiB After Width: | Height: | Size: 154 KiB |
|
Before Width: | Height: | Size: 192 KiB After Width: | Height: | Size: 243 KiB |
|
After Width: | Height: | Size: 34 KiB |
|
Before Width: | Height: | Size: 18 KiB After Width: | Height: | Size: 5.8 KiB |
@@ -11,6 +11,13 @@
|
||||
<!-- UIkit JS -->
|
||||
<script src="./uikit/js/uikit.min.js"></script>
|
||||
<script src="./uikit/js/uikit-icons.min.js"></script>
|
||||
<script type="text/javascript">
|
||||
(function(c,l,a,r,i,t,y){
|
||||
c[a]=c[a]||function(){(c[a].q=c[a].q||[]).push(arguments)};
|
||||
t=l.createElement(r);t.async=1;t.src="https://www.clarity.ms/tag/"+i;
|
||||
y=l.getElementsByTagName(r)[0];y.parentNode.insertBefore(t,y);
|
||||
})(window, document, "clarity", "script", "403biw7tra");
|
||||
</script>
|
||||
<style>
|
||||
html, body {
|
||||
width: 100%;
|
||||
@@ -72,8 +79,7 @@
|
||||
}
|
||||
#canvas-container {
|
||||
position: relative;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
height: max-content;
|
||||
}
|
||||
#svg, #frame {
|
||||
position: absolute;
|
||||
@@ -84,7 +90,7 @@
|
||||
stroke: #ff0;
|
||||
}
|
||||
#droptext {
|
||||
height: 100%;
|
||||
height: 480px;
|
||||
color: #CC972E;
|
||||
}
|
||||
input[type=range]::-webkit-slider-thumb {
|
||||
@@ -100,11 +106,11 @@
|
||||
background: #00275D;
|
||||
border-color: #CC972E;
|
||||
}
|
||||
#gallery, #options {
|
||||
#drop, #gallery, #options {
|
||||
border-top: 1px solid #686868;
|
||||
}
|
||||
#gallery {
|
||||
border-bottom: 1px solid #686868;
|
||||
padding-bottom: 0;
|
||||
}
|
||||
.galleryitem {
|
||||
cursor: pointer;
|
||||
@@ -133,9 +139,11 @@
|
||||
<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>
|
||||
|
||||
VTracer
|
||||
/ VTracer
|
||||
</div>
|
||||
<div class="uk-navbar-right uk-padding-small">
|
||||
<a class="uk-button uk-button-default" href="//www.visioncortex.org/vtracer-docs">Article</a>
|
||||
|
||||
<a class="uk-button uk-button-default" href="//github.com/visioncortex/vtracer">GitHub</a>
|
||||
|
||||
<a id="export" class="uk-button uk-button-primary">Download as SVG</a>
|
||||
@@ -145,6 +153,15 @@
|
||||
<progress id="progressbar" class="uk-progress uk-align-right" value="0" max="100" style="width: 98%;"></progress>
|
||||
</div>
|
||||
<div class="uk-width-3-4">
|
||||
<div id="drop" class="uk-padding uk-flex uk-flex-center">
|
||||
<div id="canvas-container" class="uk-width-1-1">
|
||||
<div id="droptext" class="uk-flex uk-flex-middle uk-flex-center">
|
||||
<p>Drag an image here, Cmd-V to paste 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 id="gallery" class="uk-padding">
|
||||
<div class="uk-inline" uk-slider>
|
||||
<ul id="galleryslider" class="uk-slider-items uk-child-width-1-6 uk-grid uk-grid-small">
|
||||
@@ -153,16 +170,7 @@
|
||||
<a class="uk-position-center-left uk-position-small uk-hidden-hover" href="#" uk-slidenav-previous uk-slider-item="previous"></a>
|
||||
<a class="uk-position-center-right uk-position-small uk-hidden-hover" href="#" uk-slidenav-next uk-slider-item="next"></a>
|
||||
</div>
|
||||
<a class="uk-align-right uk-text-meta" style="margin:-5px;" uk-toggle="target: #credits-modal">Credits</a>
|
||||
</div>
|
||||
<div id="drop" class="uk-padding uk-flex uk-flex-center">
|
||||
<div id="canvas-container" class="uk-width-1-1" style="height: 480px;">
|
||||
<div id="droptext" class="uk-flex uk-flex-middle uk-flex-center">
|
||||
<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>
|
||||
<a class="uk-align-right uk-text-meta" style="margin:-5px;" uk-toggle="target: #credits-modal">Photo Credits</a>
|
||||
</div>
|
||||
</div>
|
||||
<div id="options" class="uk-width-1-4 uk-height-1-1 uk-grid-small uk-flex uk-flex-center" uk-grid>
|
||||
@@ -186,6 +194,13 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="clustering-color-options uk-width-1-1 uk-flex uk-flex-right">
|
||||
<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>
|
||||
@@ -195,7 +210,7 @@
|
||||
4
|
||||
</div>
|
||||
<div class="uk-width-5-6">
|
||||
<input id="filterspeckle" class="uk-range" type="range" min="1" max="16" step="1" value="4">
|
||||
<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">
|
||||
@@ -219,7 +234,7 @@
|
||||
16
|
||||
</div>
|
||||
<div class="clustering-color-options uk-width-5-6">
|
||||
<input id="layerdifference" class="uk-range" type="range" min="0" max="255" step="1" value="16">
|
||||
<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">
|
||||
@@ -262,7 +277,7 @@
|
||||
|
||||
<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">(More accurate)</span>
|
||||
Splice Threshold <span class="uk-text-meta">(Less accurate)</span>
|
||||
</div>
|
||||
</div>
|
||||
<div id="splicevalue" class="spline-options uk-width-1-6">
|
||||
@@ -272,6 +287,19 @@
|
||||
<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
|
||||
</div>
|
||||
<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>
|
||||
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
[package]
|
||||
name = "vtracer-webapp"
|
||||
version = "0.1.0"
|
||||
authors = ["Chris Tsang <tyt2y7@gmail.com>"]
|
||||
edition = "2018"
|
||||
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"]
|
||||
@@ -21,7 +22,7 @@ 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 = "0.2.0"
|
||||
visioncortex = "0.6.0"
|
||||
|
||||
# The `console_error_panic_hook` crate provides better debugging of panics by
|
||||
# logging them with `console.error`. This is great for development, but requires
|
||||
|
||||
@@ -1,3 +1,7 @@
|
||||
<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.
|
||||
|
||||
@@ -90,6 +90,13 @@
|
||||
</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>
|
||||
@@ -178,6 +185,19 @@
|
||||
<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>
|
||||
|
||||
@@ -7,7 +7,7 @@ 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';
|
||||
let mode = 'spline', clustering_mode = 'color', clustering_hierarchical = 'stacked';
|
||||
|
||||
// Hide canas and svg on load
|
||||
canvas.style.display = 'none';
|
||||
@@ -15,22 +15,22 @@ svg.style.display = 'none';
|
||||
|
||||
// Paste from clipboard
|
||||
document.addEventListener('paste', function (e) {
|
||||
if (e.clipboardData) {
|
||||
var items = e.clipboardData.items;
|
||||
if (!items) return;
|
||||
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();
|
||||
}
|
||||
//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
|
||||
@@ -49,8 +49,10 @@ 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,
|
||||
@@ -62,8 +64,10 @@ var presetConfigs = [
|
||||
{
|
||||
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,
|
||||
@@ -75,8 +79,10 @@ var presetConfigs = [
|
||||
{
|
||||
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,
|
||||
@@ -88,8 +94,10 @@ var presetConfigs = [
|
||||
{
|
||||
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,
|
||||
@@ -98,24 +106,13 @@ var presetConfigs = [
|
||||
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/averie-woodard-4nulm-JUYFo-unsplash-s.jpg',
|
||||
clustering_mode: 'color',
|
||||
filter_speckle: 8,
|
||||
color_precision: 7,
|
||||
layer_difference: 24,
|
||||
mode: 'spline',
|
||||
corner_threshold: 60,
|
||||
length_threshold: 4,
|
||||
splice_threshold: 45,
|
||||
source: 'https://unsplash.com/photos/4nulm-JUYFo',
|
||||
credit: '<span>Photo by <a href="https://unsplash.com/@averieclaire?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">averie woodard</a> on <a href="https://unsplash.com/s/photos/portrait?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a></span>',
|
||||
},
|
||||
{
|
||||
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,
|
||||
@@ -124,66 +121,87 @@ var presetConfigs = [
|
||||
source: 'https://unsplash.com/photos/LATYeZyw88c',
|
||||
credit: '<span>Photo by <a href="https://unsplash.com/@roaming_angel?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Angel Luciano</a> on <a href="https://unsplash.com/s/photos/dog?utm_source=unsplash&utm_medium=referral&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
|
||||
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>${presetConfigs[i].credit}</p>`;
|
||||
if (document.getElementById('galleryslider')) {
|
||||
for (let i = 0; i < presetConfigs.length; i++) {
|
||||
document.getElementById('galleryslider').innerHTML +=
|
||||
`<li>
|
||||
<div class="galleryitem uk-panel uk-flex uk-flex-center">
|
||||
<a href="#">
|
||||
<img src="${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;
|
||||
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;
|
||||
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;
|
||||
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;
|
||||
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;
|
||||
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]);
|
||||
}
|
||||
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);
|
||||
});
|
||||
// Set source as specified
|
||||
setSourceAndRestart(this.firstElementChild.src);
|
||||
});
|
||||
});
|
||||
|
||||
// Upload button
|
||||
@@ -235,7 +253,8 @@ var globalcorner = parseInt(document.getElementById('corner').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);
|
||||
globallayerdifference = parseInt(document.getElementById('layerdifference').value),
|
||||
globalpathprecision = parseInt(document.getElementById('pathprecision').value);
|
||||
|
||||
// Load past inputs from localStorage
|
||||
/*
|
||||
@@ -272,6 +291,16 @@ document.getElementById('clustering-color').addEventListener('click', function (
|
||||
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;
|
||||
@@ -308,6 +337,12 @@ document.getElementById('splice').addEventListener('change', function (e) {
|
||||
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 () {
|
||||
@@ -322,9 +357,19 @@ window.addEventListener('beforeunload', function () {
|
||||
function setSourceAndRestart(source) {
|
||||
img.src = source instanceof File ? URL.createObjectURL(source) : source;
|
||||
img.onload = function () {
|
||||
svg.setAttribute('viewBox', `0 0 ${img.naturalWidth} ${img.naturalHeight}`);
|
||||
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
|
||||
@@ -342,6 +387,10 @@ function restart() {
|
||||
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');
|
||||
@@ -363,6 +412,7 @@ function restart() {
|
||||
'svg_id': svg.id,
|
||||
'mode': mode,
|
||||
'clustering_mode': clustering_mode,
|
||||
'hierarchical': clustering_hierarchical,
|
||||
'corner_threshold': deg2rad(globalcorner),
|
||||
'length_threshold': globallength,
|
||||
'max_iterations': 10,
|
||||
@@ -370,6 +420,7 @@ function restart() {
|
||||
'filter_speckle': globalfilterspeckle*globalfilterspeckle,
|
||||
'color_precision': 8-globalcolorprecision,
|
||||
'layer_difference': globallayerdifference,
|
||||
'path_precision': globalpathprecision,
|
||||
});
|
||||
if (runner) {
|
||||
runner.stop();
|
||||
@@ -430,5 +481,6 @@ class ConverterRunner {
|
||||
|
||||
stop () {
|
||||
this.stopped = true;
|
||||
this.converter.free();
|
||||
}
|
||||
}
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "vtracer-app",
|
||||
"version": "0.1.0",
|
||||
"description": "VTracer Webapp",
|
||||
"author": "Chris Tsang <tyt2y7@gmail.com>",
|
||||
"author": "Chris Tsang <chris.2y3@outlook.com>",
|
||||
"license": "proprietary",
|
||||
"private": true,
|
||||
"main": "index.js",
|
||||
|
||||
@@ -46,7 +46,7 @@ impl Canvas {
|
||||
image.data().to_vec()
|
||||
}
|
||||
|
||||
pub fn get_image_data_as_image(&self, x: u32, y: u32, width: u32, height: u32) -> ColorImage {
|
||||
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,
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
use wasm_bindgen::prelude::*;
|
||||
use visioncortex::{clusters::Clusters, Color, ColorName, PointI32, PathSimplifyMode};
|
||||
use visioncortex::{clusters::Clusters, Color, ColorName, PathSimplifyMode};
|
||||
|
||||
use crate::{canvas::*};
|
||||
use crate::svg::*;
|
||||
@@ -17,6 +17,7 @@ pub struct BinaryImageConverterParams {
|
||||
pub max_iterations: usize,
|
||||
pub splice_threshold: f64,
|
||||
pub filter_speckle: usize,
|
||||
pub path_precision: u32,
|
||||
}
|
||||
|
||||
#[wasm_bindgen]
|
||||
@@ -54,7 +55,7 @@ impl BinaryImageConverter {
|
||||
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_image(0, 0, width, height);
|
||||
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!(
|
||||
@@ -69,7 +70,7 @@ impl BinaryImageConverter {
|
||||
self.canvas.log(&format!("tick {}", self.counter));
|
||||
let cluster = self.clusters.get_cluster(self.counter);
|
||||
if cluster.size() >= self.params.filter_speckle {
|
||||
let svg_path = cluster.to_svg_path(
|
||||
let paths = cluster.to_compound_path(
|
||||
self.mode,
|
||||
self.params.corner_threshold,
|
||||
self.params.length_threshold,
|
||||
@@ -77,10 +78,10 @@ impl BinaryImageConverter {
|
||||
self.params.splice_threshold
|
||||
);
|
||||
let color = Color::color(&ColorName::White);
|
||||
self.svg.prepend_path_with_fill(
|
||||
&svg_path,
|
||||
&PointI32::default(),
|
||||
self.svg.prepend_path(
|
||||
&paths,
|
||||
&color,
|
||||
Some(self.params.path_precision),
|
||||
);
|
||||
}
|
||||
self.counter += 1;
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use wasm_bindgen::prelude::*;
|
||||
use visioncortex::{PathSimplifyMode, PointI32};
|
||||
use visioncortex::color_clusters::{IncrementalBuilder, Clusters, Runner, RunnerConfig};
|
||||
use visioncortex::PathSimplifyMode;
|
||||
use visioncortex::color_clusters::{IncrementalBuilder, Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX};
|
||||
|
||||
use crate::canvas::*;
|
||||
use crate::svg::*;
|
||||
@@ -13,6 +13,7 @@ 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,
|
||||
@@ -20,6 +21,7 @@ pub struct ColorImageConverterParams {
|
||||
pub filter_speckle: usize,
|
||||
pub color_precision: i32,
|
||||
pub layer_difference: i32,
|
||||
pub path_precision: u32,
|
||||
}
|
||||
|
||||
#[wasm_bindgen]
|
||||
@@ -35,6 +37,7 @@ pub struct ColorImageConverter {
|
||||
pub enum Stage {
|
||||
New,
|
||||
Clustering(IncrementalBuilder),
|
||||
Reclustering(IncrementalBuilder),
|
||||
Vectorize(Clusters),
|
||||
}
|
||||
|
||||
@@ -64,8 +67,10 @@ impl ColorImageConverter {
|
||||
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_image(0, 0, width, height);
|
||||
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,
|
||||
@@ -84,6 +89,35 @@ impl ColorImageConverter {
|
||||
},
|
||||
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,
|
||||
}, 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())
|
||||
}
|
||||
@@ -94,17 +128,17 @@ impl ColorImageConverter {
|
||||
if self.counter < view.clusters_output.len() {
|
||||
self.canvas.log("Vectorize tick");
|
||||
let cluster = view.get_cluster(view.clusters_output[self.counter]);
|
||||
let svg_path = cluster.to_svg_path(
|
||||
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_with_fill(
|
||||
&svg_path,
|
||||
&PointI32::new(0, 0),
|
||||
self.svg.prepend_path(
|
||||
&paths,
|
||||
&cluster.residue_color(),
|
||||
Some(self.params.path_precision),
|
||||
);
|
||||
self.counter += 1;
|
||||
false
|
||||
@@ -124,6 +158,9 @@ impl ColorImageConverter {
|
||||
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
|
||||
}
|
||||
|
||||
@@ -7,7 +7,9 @@
|
||||
// <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;
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
use web_sys::Element;
|
||||
use visioncortex::{Color, PointI32};
|
||||
use visioncortex::{Color, CompoundPath, PointF64};
|
||||
use super::common::document;
|
||||
|
||||
pub struct Svg {
|
||||
@@ -13,11 +13,12 @@ impl Svg {
|
||||
Self { element }
|
||||
}
|
||||
|
||||
pub fn prepend_path_with_fill(&mut self, path_string: &str, offset: &PointI32, color: &Color) {
|
||||
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();
|
||||
path.set_attribute("d", path_string).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(),
|
||||
|
||||