34 Commits

Author SHA1 Message Date
Chris Tsang 1adde15f42 Fix the macOS download link 404ing
publicDownloadUrl built the disk image URL from manifest.version, but the
version carries a build suffix the release tag does not: version
"1.0.0-alpha.3.app.59" lives under tag "1.0.0-alpha.3". Every macOS
visitor was handed a 404.

Derive it from the updater URL instead, rewriting only the filename so
the tag comes from the release directory the manifest points at.
2026-08-27 00:00:13 +01:00
Chris Tsang 2a87d8cf82 Fix macOS desktop download link 2026-08-12 14:37:35 +01:00
Chris Tsang 3b76f32cd2 update web app 2026-08-08 22:15:33 +01:00
Chris Tsang 148328da45 Update webapp 2024-05-29 15:01:49 +01:00
Chris Tsang f35df1f6b2 0.6.0 2023-09-16 14:35:49 +01:00
Evan Jones f4c7828049 Python bindings configured correctly for PyPI releases (#54)
* Python bindings sep 2023 (#52)

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

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

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

* - README_PY.md needed to be inside the cmdapp directory to display on PyPi.irg
->  v0.6.3

* Move code around

* Edit Readme

* Edit RELEASES.md

* Feature guard

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

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

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

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

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

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

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

---------

Co-authored-by: Chris Tsang <chris.2y3@outlook.com>
2023-09-17 06:24:13 +08:00
Chris Tsang d5dfa9fd73 Readme 2023-07-24 22:55:26 +08:00
Chris Tsang 685009bd21 Allow filter_speckle to be 0 #47 2023-06-30 05:45:35 +08:00
Chris Tsang 971bffa948 Mentions Aliyun
Foot note: I was in touch with one of their engineers
2022-11-10 17:53:12 +08:00
Chris Tsang 7be6882d6b Readme 2022-10-14 00:32:02 +08:00
Chris Tsang 386a0bcaab Filestar 2022-10-14 00:29:13 +08:00
Chris Tsang 82284ab470 0.5.0 2022-10-09 18:01:35 +08:00
Chris Tsang ead104f0ce Tweak should_key_image 2022-10-09 17:21:00 +08:00
zachwolfe a7219fd370 Alpha channel handling in CLI (#23)
* Support transparent color images

* Remove unnecessary conditional

* Add temporary git url to visioncortex dependency

* Use fastrand instead of rand

* Reduce the number of random iterations when keying

* Add heuristic to avoid expensive calculations for non-transparent input

* Add three additional special keying colours

* Add transparency check to some inner pixels
2022-10-09 15:41:43 +08:00
Oskar Skuteli 2448dbb3ba fix docs typo (#25) 2022-09-25 15:06:19 +08:00
Chris Tsang c9d9073b17 Merge pull request #16 from wolfgangmeyers/fix-converter-warning
Fix deprecation warning from converter.rs
2022-02-11 21:45:33 +08:00
Wolfgang Meyers 47091b0bf5 Fix deprecation warning from converter.ts 2022-02-10 18:13:51 -08:00
Chris Tsang 8439cc995d Refactor path_precision 2021-07-27 21:01:20 +08:00
Chris Tsang 0b292ad35f Readme 2021-07-24 16:48:47 +08:00
Chris Tsang ebb17ac22b vtracer-webapp 2021-07-24 16:37:41 +08:00
Chris Tsang 227850dd83 Release 2021-07-24 15:58:51 +08:00
Chris Tsang e0dac19c31 Article link 2021-07-24 15:42:35 +08:00
Chris Tsang d18d4f8b81 Readme 2021-07-24 00:00:59 +08:00
Chris Tsang 60a4ce579f Release 2021-07-23 23:35:54 +08:00
Chris Tsang c1c09d964c Readme 2021-07-23 23:35:54 +08:00
Chris Tsang c2a5626afa 0.4.0 2021-07-23 23:35:54 +08:00
Bobby Ng d0593e716a SVG path string numeric precision 2021-07-23 23:35:45 +08:00
Chris Tsang 9ce7df176a Update .gitattributes 2021-07-23 18:29:12 +08:00
Chris Tsang 5928c0a7f5 Update screenshots 2021-03-01 21:13:24 +08:00
Chris Tsang b2c95a50cd Update README.md 2021-03-01 21:13:24 +08:00
Chris Tsang bcd3ffb40e Update COPYRIGHT 2021-02-07 14:22:26 +08:00
Chris Tsang 20da3efd3c Create .gitattributes 2021-01-25 00:57:44 +08:00
Chris Tsang 0c27d1f06a Update README.md 2021-01-25 00:53:01 +08:00
Chris Tsang 0c7c7fc808 Demo fixup 2021-01-24 22:12:01 +08:00
38 changed files with 968 additions and 156 deletions
+1
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@@ -0,0 +1 @@
docs/** linguist-generated
+118
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@@ -0,0 +1,118 @@
# 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
+30
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@@ -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 - 2023-09-16
* 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
+2 -1
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@@ -3,4 +3,5 @@
members = [
"cmdapp",
"webapp",
]
]
resolver = "2"
+25
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@@ -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.
+61 -34
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@@ -8,7 +8,7 @@
</p>
<h3>
<a href="//www.visioncortex.org/vtracer-docs">Document</a>
<a href="//www.visioncortex.org/vtracer-docs">Article</a>
<span> | </span>
<a href="//www.visioncortex.org/vtracer/">Demo</a>
<span> | </span>
@@ -22,48 +22,53 @@
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 [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 Live Trace, VTracer's output is much more compact (less shapes) as we adopt a stacking strategy and avoid producing shapes with holes.
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. By setting both `filter_speckle` and `layer_difference` to `0`, VTracer can also handle low resolution pixel art, effectively achieving `image-rendering: pixelated` for retro game artworks.
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 + HTML5 platform.
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)
## 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
## 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
@@ -73,9 +78,31 @@ OPTIONS:
## Library
The library can be found on [crates.io/vtracer](//crates.io/crates/vtracer).
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):
### Install
```
vtracer = "*"
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>
+17 -12
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@@ -1,22 +1,27 @@
Version 0.3.0 (2021-01-24)
==========================
# Version 0.6.0 (2023-09-08)
- Added cutout mode
- Python bindings
# Version 0.5.0 (2022-10-09)
Version 0.2.0 (2020-11-15)
==========================
- Handle transparent png images
- Use relative & closed paths
# Version 0.4.0 (2021-07-23)
- SVG path string numeric precision
Version 0.1.1 (2020-11-01)
==========================
# Version 0.3.0 (2021-01-24)
- SVG namespace
- Added cutout mode
# Version 0.2.0 (2020-11-15)
Version 0.1.0 (2020-10-31)
==========================
- Use relative & closed paths
- Initial release
# Version 0.1.1 (2020-11-01)
- SVG namespace
# Version 0.1.0 (2020-10-31)
- Initial release
+9 -4
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@@ -1,8 +1,8 @@
[package]
name = "vtracer"
version = "0.3.0"
authors = ["Chris Tsang <tyt2y7@gmail.com>"]
edition = "2018"
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"
@@ -13,4 +13,9 @@ keywords = ["svg", "computer-graphics"]
[dependencies]
clap = "2.33.3"
image = "0.23.10"
visioncortex = "0.4.0"
visioncortex = { version = "0.8.0" }
fastrand = "1.8"
pyo3 = { version = "0.19.0", optional = true }
[features]
python-binding = ["pyo3"]
+1 -1
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@@ -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
+28
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@@ -0,0 +1,28 @@
[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"]
+30 -9
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@@ -33,6 +33,7 @@ pub struct Config {
pub length_threshold: f64,
pub max_iterations: usize,
pub splice_threshold: i32,
pub path_precision: Option<u32>,
}
pub(crate) struct ConverterConfig {
@@ -48,6 +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 {
@@ -65,6 +67,7 @@ impl Default for Config {
length_threshold: 4.0,
splice_threshold: 45,
max_iterations: 10,
path_precision: Some(8),
}
}
}
@@ -194,6 +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();
@@ -225,19 +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);
}
}
@@ -249,7 +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);
}
}
@@ -261,7 +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);
}
}
@@ -273,7 +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);
}
}
@@ -285,7 +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);
}
}
@@ -297,7 +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);
}
}
@@ -321,6 +338,7 @@ impl Config {
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
},
Preset::Poster => Self {
input_path,
@@ -335,6 +353,7 @@ impl Config {
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
},
Preset::Photo => Self {
input_path,
@@ -349,6 +368,7 @@ impl Config {
length_threshold: 4.0,
max_iterations: 10,
splice_threshold: 45,
path_precision: Some(8),
}
}
}
@@ -367,6 +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,
}
}
}
+94 -5
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@@ -1,11 +1,17 @@
use std::path::PathBuf;
use std::{fs::File, io::Write};
use fastrand::Rng;
use visioncortex::{Color, ColorImage, ColorName};
use visioncortex::color_clusters::{Runner, RunnerConfig, HIERARCHICAL_MAX};
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();
@@ -15,8 +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;
@@ -26,6 +92,21 @@ 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,
@@ -36,6 +117,12 @@ 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 mut clusters = runner.run();
@@ -55,6 +142,8 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
is_same_color_b: 1,
deepen_diff: 0,
hollow_neighbours: 0,
key_color,
keying_action: KeyingAction::Discard,
}, image);
clusters = runner.run();
},
@@ -62,7 +151,7 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
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 paths = cluster.to_compound_path(
@@ -95,7 +184,7 @@ fn binary_image_to_svg(config: ConverterConfig) -> Result<(), String> {
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 {
@@ -116,7 +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")),
};
+5 -1
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@@ -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::*;
+81
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@@ -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(())
}
+11 -3
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@@ -5,6 +5,7 @@ pub struct SvgFile {
pub paths: Vec<SvgPath>,
pub width: usize,
pub height: usize,
pub path_precision: Option<u32>,
}
pub struct SvgPath {
@@ -13,11 +14,12 @@ pub struct SvgPath {
}
impl SvgFile {
pub fn new(width: usize, height: usize) -> Self {
pub fn new(width: usize, height: usize, path_precision: Option<u32>) -> Self {
SvgFile {
paths: vec![],
width,
height,
path_precision,
}
}
@@ -38,7 +40,7 @@ impl fmt::Display for SvgFile {
)?;
for path in &self.paths {
path.fmt(f)?;
path.fmt_with_precision(f, self.path_precision)?;
};
writeln!(f, "</svg>")
@@ -47,7 +49,13 @@ impl fmt::Display for SvgFile {
impl fmt::Display for SvgPath {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
let (string, offset) = self.path.to_svg_string(true, PointF64::default());
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(),
+75
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@@ -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).
+1
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@@ -0,0 +1 @@
from .vtracer import convert_image_to_svg_py
+17
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@@ -0,0 +1,17 @@
from typing import Optional
def convert_image_to_svg_py(image_path: str,
out_path: str,
colormode: Optional[str] = None, # ["color"] or "binary"
hierarchical: Optional[str] = None, # ["stacked"] or "cutout"
mode: Optional[str] = None, # ["spline"], "polygon", "none"
filter_speckle: Optional[int] = None, # default: 4
color_precision: Optional[int] = None, # default: 6
layer_difference: Optional[int] = None, # default: 16
corner_threshold: Optional[int] = None, # default: 60
length_threshold: Optional[float] = None, # in [3.5, 10] default: 4.0
max_iterations: Optional[int] = None, # default: 10
splice_threshold: Optional[int] = None, # default: 45
path_precision: Optional[int] = None, # default: 8
) -> None:
...
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+2 -2
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@@ -1,3 +1,3 @@
Copyright (c) 2020 Tsang Hao Fung
Copyright (c) 2024 TSANG, Hao Fung
All Rights Reserved
The content in the /docs directory is for GitHub pages, and is not covered under open source licenses.
Binary file not shown.
Generated Vendored
+58 -58
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@@ -61,92 +61,92 @@
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/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbindgen_string_new"](p0i32,p1i32);
/******/ },
/******/ "__wbg_new_59cb74e423758ede": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_new_59cb74e423758ede"]();
/******/ "__wbg_new_abda76e883ba8a5f": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_new_abda76e883ba8a5f"]();
/******/ },
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/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_stack_558ba5917b466edd"](p0i32,p1i32);
/******/ "__wbg_stack_658279fe44541cf6": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_stack_658279fe44541cf6"](p0i32,p1i32);
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/******/ },
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/******/ "__wbg_getContext_df50fa48a8876636": function(p0i32,p1i32,p2i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getContext_df50fa48a8876636"](p0i32,p1i32,p2i32);
/******/ },
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/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_newnoargs_e258087cd0daa0ea"](p0i32,p1i32);
/******/ },
/******/ "__wbg_call_27c0f87801dedf93": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_call_27c0f87801dedf93"](p0i32,p1i32);
/******/ },
/******/ "__wbindgen_object_clone_ref": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbindgen_object_clone_ref"](p0i32);
/******/ },
/******/ "__wbg_newnoargs_f3b8a801d5d4b079": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_newnoargs_f3b8a801d5d4b079"](p0i32,p1i32);
/******/ "__wbg_self_ce0dbfc45cf2f5be": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_self_ce0dbfc45cf2f5be"]();
/******/ },
/******/ "__wbg_self_07b2f89e82ceb76d": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_self_07b2f89e82ceb76d"]();
/******/ "__wbg_window_c6fb939a7f436783": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_window_c6fb939a7f436783"]();
/******/ },
/******/ "__wbg_window_ba85d88572adc0dc": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_window_ba85d88572adc0dc"]();
/******/ "__wbg_globalThis_d1e6af4856ba331b": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_globalThis_d1e6af4856ba331b"]();
/******/ },
/******/ "__wbg_globalThis_b9277fc37e201fe5": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_globalThis_b9277fc37e201fe5"]();
/******/ },
/******/ "__wbg_global_e16303fe83e1d57f": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_global_e16303fe83e1d57f"]();
/******/ "__wbg_global_207b558942527489": function() {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_global_207b558942527489"]();
/******/ },
/******/ "__wbindgen_is_undefined": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbindgen_is_undefined"](p0i32);
@@ -258,7 +258,7 @@
/******/ promises.push(installedWasmModuleData);
/******/ else {
/******/ var importObject = wasmImportObjects[wasmModuleId]();
/******/ var req = fetch(__webpack_require__.p + "" + {"../pkg/vtracer_webapp_bg.wasm":"bad37dda49ff45dee696"}[wasmModuleId] + ".module.wasm");
/******/ var req = fetch(__webpack_require__.p + "" + {"../pkg/vtracer_webapp_bg.wasm":"1ea3f1b97c566154f2b2"}[wasmModuleId] + ".module.wasm");
/******/ var promise;
/******/ if(importObject instanceof Promise && typeof WebAssembly.compileStreaming === 'function') {
/******/ promise = Promise.all([WebAssembly.compileStreaming(req), importObject]).then(function(items) {
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.st0{fill:#A1FCFE;}
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+179 -6
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@@ -11,12 +11,14 @@
<!-- 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");
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-XPL1JGMDSC"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-XPL1JGMDSC');
</script>
<style>
html, body {
@@ -128,6 +130,35 @@
.uk-text-meta {
font-size: 12px;
}
.desktop-banner {
border: 1px solid rgba(204, 151, 46, 0.55);
background: rgba(204, 151, 46, 0.12);
gap: 8px 16px;
padding-top: 8px;
padding-bottom: 8px;
}
.desktop-banner-title {
margin: 0;
font-weight: 700;
}
.desktop-banner-copy {
margin: 4px 0 0 0;
}
.desktop-banner .uk-button {
white-space: nowrap;
}
.uk-light .desktop-banner {
border-color: rgba(204, 151, 46, 0.7);
background: rgba(204, 151, 46, 0.16);
}
@media only screen and (max-width: 640px) {
.desktop-banner {
text-align: center;
}
.desktop-banner .uk-button {
width: 100%;
}
}
</style>
</head>
@@ -147,6 +178,16 @@
<a id="export" class="uk-button uk-button-primary">Download as SVG</a>
</div>
</div>
<div class="uk-width-1-1">
<div class="desktop-banner uk-padding-small uk-flex uk-flex-middle uk-flex-between uk-flex-wrap">
<div class="uk-margin-small-right">
<p id="desktop-banner-copy" class="desktop-banner-title">Try the latest VTracer Desktop App for native speed, curve simplification, and higher tracing quality.</p>
</div>
<a id="desktop-download" class="uk-button uk-button-primary" href="https://github.com/visioncortex/vtracer/releases/latest" rel="noopener">
Download Desktop App
</a>
</div>
</div>
<div id="progressregion" class="uk-width-1-1 uk-padding-small" style="display: none;">
<progress id="progressbar" class="uk-progress uk-align-right" value="0" max="100" style="width: 98%;"></progress>
</div>
@@ -285,6 +326,19 @@
<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>
@@ -299,6 +353,125 @@
document.body.classList.remove('uk-dark');
document.body.classList.add('uk-light');
}
(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']
};
}
return {
label: '',
manifestKeys: []
};
}
function setFallback(platform) {
downloadLink.href = releasesUrl;
downloadLink.textContent = platform.label ? 'Download for ' + platform.label : 'View latest downloads';
bannerCopy.textContent = platform.label
? 'Try the latest VTracer Desktop App for ' + platform.label + ' with native speed, curve simplification, and higher tracing quality.'
: 'Try the latest VTracer Desktop App for native speed, curve simplification, and higher tracing quality.';
}
function findPlatformDownload(platforms, platform) {
var keys = platform.manifestKeys || [];
for (var i = 0; i < keys.length; i++) {
if (platforms[keys[i]] && platforms[keys[i]].url) {
return platforms[keys[i]].url;
}
}
return '';
}
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;
}
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();
})
.then(function(manifest) {
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 = 'Try the latest VTracer Desktop App for ' + platform.label + ' with native speed, curve simplification, and higher tracing quality.';
})
.catch(function() {
setFallback(platform);
});
})();
</script>
<script src="./bootstrap.js"></script>
</body>
+4 -4
View File
@@ -1,8 +1,8 @@
[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"
@@ -22,7 +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 = "0.4.0"
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
+4
View File
@@ -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.
+13
View File
@@ -185,6 +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>
+25 -4
View File
@@ -35,7 +35,11 @@ document.addEventListener('paste', function (e) {
// Download as SVG
document.getElementById('export').addEventListener('click', function (e) {
const blob = new Blob([new XMLSerializer().serializeToString(svg)], {type: 'octet/stream'}),
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;
@@ -52,6 +56,7 @@ var presetConfigs = [
clustering_hierarchical: 'stacked',
filter_speckle: 4,
color_precision: 6,
path_precision: 8,
layer_difference: 16,
mode: 'spline',
corner_threshold: 60,
@@ -66,6 +71,7 @@ var presetConfigs = [
clustering_hierarchical: 'stacked',
filter_speckle: 4,
color_precision: 8,
path_precision: 8,
layer_difference: 25,
mode: 'spline',
corner_threshold: 60,
@@ -77,9 +83,10 @@ var presetConfigs = [
{
src: 'assets/samples/Gum Tree Vector.jpg',
clustering_mode: 'color',
clustering_hierarchical: 'cutout',
clustering_hierarchical: 'stacked',
filter_speckle: 4,
color_precision: 8,
path_precision: 8,
layer_difference: 28,
mode: 'spline',
corner_threshold: 60,
@@ -94,6 +101,7 @@ var presetConfigs = [
clustering_hierarchical: 'stacked',
filter_speckle: 8,
color_precision: 7,
path_precision: 8,
layer_difference: 64,
mode: 'spline',
corner_threshold: 60,
@@ -108,6 +116,7 @@ var presetConfigs = [
clustering_hierarchical: 'stacked',
filter_speckle: 10,
color_precision: 8,
path_precision: 8,
layer_difference: 48,
mode: 'spline',
corner_threshold: 180,
@@ -122,6 +131,7 @@ var presetConfigs = [
clustering_hierarchical: 'stacked',
filter_speckle: 0,
color_precision: 8,
path_precision: 8,
layer_difference: 0,
mode: 'none',
corner_threshold: 180,
@@ -178,6 +188,9 @@ function loadConfig(config) {
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
@@ -244,7 +257,8 @@ 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
/*
@@ -327,6 +341,12 @@ 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 () {
@@ -404,6 +424,7 @@ function restart() {
'filter_speckle': globalfilterspeckle*globalfilterspeckle,
'color_precision': 8-globalcolorprecision,
'layer_difference': globallayerdifference,
'path_precision': globalpathprecision,
});
if (runner) {
runner.stop();
@@ -427,7 +448,7 @@ class ConverterRunner {
this.converter.init();
this.stopped = false;
if (clustering_mode == 'binary') {
svg.style.background = '#000';
svg.style.background = '#fff';
canvas.style.display = 'none';
} else {
svg.style.background = '';
+1 -1
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@@ -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",
+3 -1
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@@ -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]
@@ -76,10 +77,11 @@ impl BinaryImageConverter {
self.params.max_iterations,
self.params.splice_threshold
);
let color = Color::color(&ColorName::White);
let color = Color::color(&ColorName::Black);
self.svg.prepend_path(
&paths,
&color,
Some(self.params.path_precision),
);
}
self.counter += 1;
+7 -1
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@@ -1,6 +1,6 @@
use wasm_bindgen::prelude::*;
use visioncortex::PathSimplifyMode;
use visioncortex::color_clusters::{IncrementalBuilder, Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX};
use visioncortex::color_clusters::{Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX, IncrementalBuilder, KeyingAction};
use crate::canvas::*;
use crate::svg::*;
@@ -21,6 +21,7 @@ pub struct ColorImageConverterParams {
pub filter_speckle: usize,
pub color_precision: i32,
pub layer_difference: i32,
pub path_precision: u32,
}
#[wasm_bindgen]
@@ -77,6 +78,8 @@ impl ColorImageConverter {
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());
}
@@ -107,6 +110,8 @@ impl ColorImageConverter {
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());
},
@@ -137,6 +142,7 @@ impl ColorImageConverter {
self.svg.prepend_path(
&paths,
&cluster.residue_color(),
Some(self.params.path_precision),
);
self.counter += 1;
false
+3 -1
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@@ -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;
+2 -2
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@@ -13,11 +13,11 @@ impl Svg {
Self { element }
}
pub fn prepend_path(&mut self, paths: &CompoundPath, 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();
let (string, offset) = paths.to_svg_string(true, PointF64::default());
let (string, offset) = paths.to_svg_string(true, PointF64::default(), precision);
path.set_attribute("d", &string).unwrap();
path.set_attribute(
"transform",