6 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
22 changed files with 600 additions and 102 deletions
+118
View File
@@ -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
+4
View File
@@ -5,6 +5,10 @@ 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)
+2 -1
View File
@@ -3,4 +3,5 @@
members = [
"cmdapp",
"webapp",
]
]
resolver = "2"
+14 -15
View File
@@ -1,28 +1,27 @@
Version 0.4.0 (2021-07-23)
==========================
# Version 0.6.0 (2023-09-08)
- SVG path string numeric precision
- Python bindings
# Version 0.5.0 (2022-10-09)
Version 0.3.0 (2021-01-24)
==========================
- Handle transparent png images
- Added cutout mode
# Version 0.4.0 (2021-07-23)
- SVG path string numeric precision
Version 0.2.0 (2020-11-15)
==========================
# Version 0.3.0 (2021-01-24)
- Use relative & closed paths
- Added cutout mode
# Version 0.2.0 (2020-11-15)
Version 0.1.1 (2020-11-01)
==========================
- Use relative & closed paths
- SVG namespace
# Version 0.1.1 (2020-11-01)
- SVG namespace
Version 0.1.0 (2020-10-31)
==========================
# Version 0.1.0 (2020-10-31)
- Initial release
- Initial release
+8 -4
View File
@@ -1,8 +1,8 @@
[package]
name = "vtracer"
version = "0.5.0"
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"
@@ -14,4 +14,8 @@ keywords = ["svg", "computer-graphics"]
clap = "2.33.3"
image = "0.23.10"
visioncortex = { version = "0.8.0" }
fastrand = "1.8"
fastrand = "1.8"
pyo3 = { version = "0.19.0", optional = true }
[features]
python-binding = ["pyo3"]
+28
View File
@@ -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"]
+5 -1
View File
@@ -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
View File
@@ -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(())
}
+75
View File
@@ -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
View File
@@ -0,0 +1 @@
from .vtracer import convert_image_to_svg_py
+17
View File
@@ -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:
...
+6 -6
View File
File diff suppressed because one or more lines are too long
Binary file not shown.
Binary file not shown.
+1 -1
View File
@@ -1,3 +1,3 @@
Copyright (c) 2020 Tsang Hao Fung
Copyright (c) 2024 TSANG, Hao Fung
The content in the /docs directory is for GitHub pages, and is not covered under open source licenses.
Generated Vendored
+58 -58
View File
@@ -61,92 +61,92 @@
/******/ "__wbindgen_string_new": function(p0i32,p1i32) {
/******/ 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"]();
/******/ },
/******/ "__wbg_stack_558ba5917b466edd": function(p0i32,p1i32) {
/******/ 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);
/******/ },
/******/ "__wbg_error_4bb6c2a97407129a": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_4bb6c2a97407129a"](p0i32,p1i32);
/******/ "__wbg_error_f851667af71bcfc6": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_f851667af71bcfc6"](p0i32,p1i32);
/******/ },
/******/ "__wbg_instanceof_Window_adf3196bdc02b386": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_Window_adf3196bdc02b386"](p0i32);
/******/ "__wbg_instanceof_Window_f401953a2cf86220": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_Window_f401953a2cf86220"](p0i32);
/******/ },
/******/ "__wbg_document_6cc8d0b87c0a99b9": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_document_6cc8d0b87c0a99b9"](p0i32);
/******/ "__wbg_document_5100775d18896c16": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_document_5100775d18896c16"](p0i32);
/******/ },
/******/ "__wbg_createElementNS_ea14cb45a87a0719": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_createElementNS_ea14cb45a87a0719"](p0i32,p1i32,p2i32,p3i32,p4i32);
/******/ "__wbg_createElementNS_556a62fb298be5a2": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_createElementNS_556a62fb298be5a2"](p0i32,p1i32,p2i32,p3i32,p4i32);
/******/ },
/******/ "__wbg_getElementById_0cb6ad9511b1efc0": function(p0i32,p1i32,p2i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getElementById_0cb6ad9511b1efc0"](p0i32,p1i32,p2i32);
/******/ "__wbg_getElementById_c369ff43f0db99cf": function(p0i32,p1i32,p2i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getElementById_c369ff43f0db99cf"](p0i32,p1i32,p2i32);
/******/ },
/******/ "__wbg_setAttribute_727bdb9763037624": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_setAttribute_727bdb9763037624"](p0i32,p1i32,p2i32,p3i32,p4i32);
/******/ "__wbg_setAttribute_3c9f6c303b696daa": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_setAttribute_3c9f6c303b696daa"](p0i32,p1i32,p2i32,p3i32,p4i32);
/******/ },
/******/ "__wbg_prepend_fa995bb42f6e2983": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_prepend_fa995bb42f6e2983"](p0i32,p1i32);
/******/ "__wbg_prepend_6fcfb183e9fe632c": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_prepend_6fcfb183e9fe632c"](p0i32,p1i32);
/******/ },
/******/ "__wbg_debug_d101e002eb92f20b": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_debug_d101e002eb92f20b"](p0i32,p1i32,p2i32,p3i32);
/******/ "__wbg_instanceof_CanvasRenderingContext2d_20bf99ccc051643b": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_CanvasRenderingContext2d_20bf99ccc051643b"](p0i32);
/******/ },
/******/ "__wbg_error_cb872335132b1ef7": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_cb872335132b1ef7"](p0i32,p1i32,p2i32,p3i32);
/******/ "__wbg_getImageData_740186e596b34364": function(p0i32,p1f64,p2f64,p3f64,p4f64) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getImageData_740186e596b34364"](p0i32,p1f64,p2f64,p3f64,p4f64);
/******/ },
/******/ "__wbg_info_a25afde0ff8cd04a": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_info_a25afde0ff8cd04a"](p0i32,p1i32,p2i32,p3i32);
/******/ "__wbg_data_c02d3aac6da15e9f": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_data_c02d3aac6da15e9f"](p0i32,p1i32);
/******/ },
/******/ "__wbg_log_3bafd82835c6de6d": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_3bafd82835c6de6d"](p0i32);
/******/ "__wbg_debug_7d879afce6cf56cb": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_debug_7d879afce6cf56cb"](p0i32,p1i32,p2i32,p3i32);
/******/ },
/******/ "__wbg_log_64f566ae90a6c43c": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_64f566ae90a6c43c"](p0i32,p1i32,p2i32,p3i32);
/******/ "__wbg_error_696630710900ec44": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_696630710900ec44"](p0i32,p1i32,p2i32,p3i32);
/******/ },
/******/ "__wbg_warn_f632d7d3f55682b6": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_warn_f632d7d3f55682b6"](p0i32,p1i32,p2i32,p3i32);
/******/ "__wbg_info_80803d9a3f0aad16": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_info_80803d9a3f0aad16"](p0i32,p1i32,p2i32,p3i32);
/******/ },
/******/ "__wbg_instanceof_CanvasRenderingContext2d_5b86ec94bce38d5b": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_CanvasRenderingContext2d_5b86ec94bce38d5b"](p0i32);
/******/ "__wbg_log_5bb5f88f245d7762": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_5bb5f88f245d7762"](p0i32);
/******/ },
/******/ "__wbg_getImageData_888c08c04395524a": function(p0i32,p1f64,p2f64,p3f64,p4f64) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getImageData_888c08c04395524a"](p0i32,p1f64,p2f64,p3f64,p4f64);
/******/ "__wbg_log_151eb4333ef0fe39": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_151eb4333ef0fe39"](p0i32,p1i32,p2i32,p3i32);
/******/ },
/******/ "__wbg_instanceof_HtmlCanvasElement_4f5b5ec6cd53ccf3": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_HtmlCanvasElement_4f5b5ec6cd53ccf3"](p0i32);
/******/ "__wbg_warn_5d3f783b0bae8943": function(p0i32,p1i32,p2i32,p3i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_warn_5d3f783b0bae8943"](p0i32,p1i32,p2i32,p3i32);
/******/ },
/******/ "__wbg_width_a22f9855caa54b53": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_width_a22f9855caa54b53"](p0i32);
/******/ "__wbg_instanceof_HtmlCanvasElement_46bdbf323b0b18d1": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_HtmlCanvasElement_46bdbf323b0b18d1"](p0i32);
/******/ },
/******/ "__wbg_height_9a404a6b3c61c7ef": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_height_9a404a6b3c61c7ef"](p0i32);
/******/ "__wbg_width_aee8b8809b033b05": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_width_aee8b8809b033b05"](p0i32);
/******/ },
/******/ "__wbg_getContext_37ca0870acb096d9": function(p0i32,p1i32,p2i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getContext_37ca0870acb096d9"](p0i32,p1i32,p2i32);
/******/ "__wbg_height_80053d3c71b338e0": function(p0i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_height_80053d3c71b338e0"](p0i32);
/******/ },
/******/ "__wbg_data_c2cd7a48734589b2": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_data_c2cd7a48734589b2"](p0i32,p1i32);
/******/ "__wbg_getContext_df50fa48a8876636": function(p0i32,p1i32,p2i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getContext_df50fa48a8876636"](p0i32,p1i32,p2i32);
/******/ },
/******/ "__wbg_call_8e95613cc6524977": function(p0i32,p1i32) {
/******/ return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_call_8e95613cc6524977"](p0i32,p1i32);
/******/ "__wbg_newnoargs_e258087cd0daa0ea": function(p0i32,p1i32) {
/******/ 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":"589cb57662b50620abca"}[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) {
+166 -8
View File
@@ -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>
@@ -142,13 +173,21 @@
/ 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>
&nbsp;&nbsp;
<a class="uk-button uk-button-default" href="//github.com/visioncortex/vtracer">GitHub</a>
&nbsp;&nbsp;
<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>
@@ -314,6 +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>
+3 -3
View File
@@ -1,8 +1,8 @@
[package]
name = "vtracer-webapp"
version = "0.4.0"
authors = ["Chris Tsang <tyt2y7@gmail.com>"]
edition = "2018"
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 = "0.6.0"
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
+6 -2
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;
@@ -444,7 +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
View File
@@ -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",
+1 -1
View File
@@ -77,7 +77,7 @@ 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,
+5 -1
View File
@@ -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::*;
@@ -78,6 +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());
}
@@ -108,6 +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());
},