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0.6.3
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2
.github/workflows/python.yml
vendored
2
.github/workflows/python.yml
vendored
@@ -3,7 +3,7 @@
|
||||
#
|
||||
# maturin generate-ci github
|
||||
#
|
||||
name: python
|
||||
name: Python
|
||||
|
||||
on:
|
||||
push:
|
||||
|
||||
30
.github/workflows/release.yml
vendored
Normal file
30
.github/workflows/release.yml
vendored
Normal file
@@ -0,0 +1,30 @@
|
||||
name: Release
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
release:
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
- target: aarch64-unknown-linux-musl
|
||||
os: ubuntu-latest
|
||||
- target: x86_64-unknown-linux-musl
|
||||
os: ubuntu-latest
|
||||
- target: aarch64-apple-darwin
|
||||
os: macos-latest
|
||||
- target: x86_64-apple-darwin
|
||||
os: macos-latest
|
||||
- target: x86_64-pc-windows-msvc
|
||||
os: windows-latest
|
||||
runs-on: ${{ matrix.os }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: taiki-e/upload-rust-binary-action@v1
|
||||
with:
|
||||
bin: vtracer
|
||||
target: ${{ matrix.target }}
|
||||
# (required) GitHub token for uploading assets to GitHub Releases.
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
19
.github/workflows/rust.yml
vendored
19
.github/workflows/rust.yml
vendored
@@ -1,10 +1,23 @@
|
||||
name: Rust
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ master ]
|
||||
pull_request:
|
||||
branches: [ master ]
|
||||
paths-ignore:
|
||||
- '**.md'
|
||||
- '.github/ISSUE_TEMPLATE/**'
|
||||
push:
|
||||
paths-ignore:
|
||||
- '**.md'
|
||||
- '.github/ISSUE_TEMPLATE/**'
|
||||
branches:
|
||||
- master
|
||||
- 0.*.x
|
||||
- pr/**/ci
|
||||
- ci-*
|
||||
|
||||
concurrency:
|
||||
group: ${{ github.workflow }}-${{ github.head_ref || github.ref || github.run_id }}
|
||||
cancel-in-progress: true
|
||||
|
||||
env:
|
||||
CARGO_TERM_COLOR: always
|
||||
|
||||
@@ -5,6 +5,14 @@ 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/).
|
||||
|
||||
## 0.6.4 - 2024-03-29
|
||||
|
||||
* Update `visioncortex` version to `0.8.8`
|
||||
|
||||
## 0.6.3 - 2023-11-21
|
||||
|
||||
* New converter API https://github.com/visioncortex/vtracer/pull/59
|
||||
|
||||
## 0.6.1 - 2023-09-23
|
||||
|
||||
* Fixed "The two lines are parallel!"
|
||||
|
||||
2
LICENSE
2
LICENSE
@@ -1,4 +1,4 @@
|
||||
Copyright (c) 2023 Tsang Hao Fung
|
||||
Copyright (c) 2024 TSANG, Hao Fung
|
||||
|
||||
Permission is hereby granted, free of charge, to any
|
||||
person obtaining a copy of this software and associated
|
||||
|
||||
30
README.md
30
README.md
@@ -10,9 +10,9 @@
|
||||
<h3>
|
||||
<a href="https://www.visioncortex.org/vtracer-docs">Article</a>
|
||||
<span> | </span>
|
||||
<a href="https://www.visioncortex.org/vtracer/">Demo</a>
|
||||
<a href="https://www.visioncortex.org/vtracer/">Web App</a>
|
||||
<span> | </span>
|
||||
<a href="https://github.com/visioncortex/vtracer/releases/tag/0.6.0">Download</a>
|
||||
<a href="https://github.com/visioncortex/vtracer/releases">Download</a>
|
||||
</h3>
|
||||
|
||||
<sub>Built with 🦀 by <a href="https://www.visioncortex.org/">The Vision Cortex Research Group</a></sub>
|
||||
@@ -28,7 +28,7 @@ Comparing to Adobe Illustrator's [Image Trace](https://helpx.adobe.com/illustrat
|
||||
|
||||
VTracer is originally designed for processing high resolution scans of historic blueprints up to gigapixels. At the same time, VTracer can also handle low resolution pixel art, simulating `image-rendering: pixelated` for retro game artworks.
|
||||
|
||||
A technical description of the algorithm is on [visioncortex.org/vtracer-docs](https://www.visioncortex.org/vtracer-docs).
|
||||
Technical descriptions of the [tracing algorithm](https://www.visioncortex.org/vtracer-docs) and [clustering algorithm](https://www.visioncortex.org/impression-docs).
|
||||
|
||||
## Web App
|
||||
|
||||
@@ -71,9 +71,9 @@ OPTIONS:
|
||||
-s, --splice_threshold <splice_threshold> Minimum angle displacement (degree) to splice a spline
|
||||
```
|
||||
|
||||
### Install
|
||||
## Downloads
|
||||
|
||||
You can download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases/tag/0.6.0).
|
||||
You can download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
|
||||
|
||||
You can also install the program from source from [crates.io/vtracer](https://crates.io/crates/vtracer):
|
||||
|
||||
@@ -81,13 +81,15 @@ You can also install the program from source from [crates.io/vtracer](https://cr
|
||||
cargo install vtracer
|
||||
```
|
||||
|
||||
> You are strongly advised to not download from any other third-party sources
|
||||
|
||||
### Usage
|
||||
|
||||
```sh
|
||||
./vtracer --input input.jpg --output output.svg
|
||||
```
|
||||
|
||||
## Rust Library
|
||||
### Rust Library
|
||||
|
||||
You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.
|
||||
|
||||
@@ -95,7 +97,7 @@ You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.
|
||||
cargo add vtracer
|
||||
```
|
||||
|
||||
## Python Library
|
||||
### Python Library
|
||||
|
||||
Since `0.6`, [`vtracer`](https://pypi.org/project/vtracer/) is also packaged as Python native extensions, thanks to the awesome [pyo3](https://github.com/PyO3/pyo3) project.
|
||||
|
||||
@@ -105,7 +107,7 @@ pip install vtracer
|
||||
|
||||
## In the wild
|
||||
|
||||
VTracer is used by the following projects (feel free to add yours!):
|
||||
VTracer is used by the following products (open a PR to add yours):
|
||||
|
||||
<table>
|
||||
<tbody>
|
||||
@@ -118,11 +120,17 @@ VTracer is used by the following projects (feel free to add yours!):
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
## Anecdotes
|
||||
## Citations
|
||||
|
||||
> The following content is an excerpt from my [unpublished](https://github.com/sponsors/tyt2y3) [memoir](https://github.com/visioncortex/memoir).
|
||||
VTracer has since been cited in a few academic papers. Please kindly let us know if you have cited our work:
|
||||
|
||||
### How / when / where did VTracer come about?
|
||||
+ [Framework to Vectorize Digital Artworks for Physical Fabrication based on Geometric Stylization Techniques](https://www.researchgate.net/publication/374448489_Framework_to_Vectorize_Digital_Artworks_for_Physical_Fabrication_based_on_Geometric_Stylization_Techniques)
|
||||
+ [Image Vectorization: a Review](https://arxiv.org/pdf/2306.06441.pdf)
|
||||
+ [StarVector: Generating Scalable Vector Graphics Code from Images](https://arxiv.org/abs/2312.11556)
|
||||
|
||||
## How did VTracer come about?
|
||||
|
||||
> The following content is an excerpt from my [unpublished memoir](https://github.com/visioncortex/memoir).
|
||||
|
||||
At my teenage, two open source projects in the vector graphics space inspired me the most: Potrace and Anti-Grain Geometry (AGG).
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "vtracer"
|
||||
version = "0.6.2"
|
||||
version = "0.6.4"
|
||||
authors = ["Chris Tsang <chris.2y3@outlook.com>"]
|
||||
edition = "2021"
|
||||
description = "A cmd app to convert images into vector graphics."
|
||||
@@ -13,7 +13,7 @@ keywords = ["svg", "computer-graphics"]
|
||||
[dependencies]
|
||||
clap = "2.33.3"
|
||||
image = "0.23.10"
|
||||
visioncortex = { version = "0.8.1" }
|
||||
visioncortex = { version = "0.8.8" }
|
||||
fastrand = "1.8"
|
||||
pyo3 = { version = "0.19.0", optional = true }
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "vtracer"
|
||||
version = "0.6.10"
|
||||
version = "0.6.11"
|
||||
description = "Python bindings for the Rust Vtracer raster-to-vector library"
|
||||
authors = [ { name = "Chris Tsang", email = "chris.2y3@outlook.com" } ]
|
||||
readme = "vtracer/README.md"
|
||||
|
||||
@@ -1,23 +1,27 @@
|
||||
use std::str::FromStr;
|
||||
use visioncortex::PathSimplifyMode;
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub enum Preset {
|
||||
Bw,
|
||||
Poster,
|
||||
Photo,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub enum ColorMode {
|
||||
Color,
|
||||
Binary,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub enum Hierarchical {
|
||||
Stacked,
|
||||
Cutout,
|
||||
}
|
||||
|
||||
/// Converter config
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct Config {
|
||||
pub color_mode: ColorMode,
|
||||
pub hierarchical: Hierarchical,
|
||||
@@ -32,6 +36,7 @@ pub struct Config {
|
||||
pub path_precision: Option<u32>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub(crate) struct ConverterConfig {
|
||||
pub color_mode: ColorMode,
|
||||
pub hierarchical: Hierarchical,
|
||||
|
||||
@@ -73,7 +73,7 @@ fn should_key_image(img: &ColorImage) -> bool {
|
||||
|
||||
// Check for transparency at several scanlines
|
||||
let threshold = ((img.width * 2) as f32 * KEYING_THRESHOLD) as usize;
|
||||
let mut num_transparent_boundary_pixels = 0;
|
||||
let mut num_transparent_pixels = 0;
|
||||
let y_positions = [
|
||||
0,
|
||||
img.height / 4,
|
||||
@@ -84,9 +84,9 @@ fn should_key_image(img: &ColorImage) -> bool {
|
||||
for y in y_positions {
|
||||
for x in 0..img.width {
|
||||
if img.get_pixel(x, y).a == 0 {
|
||||
num_transparent_boundary_pixels += 1;
|
||||
num_transparent_pixels += 1;
|
||||
}
|
||||
if num_transparent_boundary_pixels >= threshold {
|
||||
if num_transparent_pixels >= threshold {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
use crate::*;
|
||||
use pyo3::prelude::*;
|
||||
use image::{io::Reader, ImageFormat};
|
||||
use pyo3::{exceptions::PyException, prelude::*};
|
||||
use std::io::{BufReader, Cursor};
|
||||
use std::path::PathBuf;
|
||||
use visioncortex::PathSimplifyMode;
|
||||
|
||||
@@ -23,6 +25,148 @@ fn convert_image_to_svg_py(
|
||||
let input_path = PathBuf::from(image_path);
|
||||
let output_path = PathBuf::from(out_path);
|
||||
|
||||
let config = construct_config(
|
||||
colormode,
|
||||
hierarchical,
|
||||
mode,
|
||||
filter_speckle,
|
||||
color_precision,
|
||||
layer_difference,
|
||||
corner_threshold,
|
||||
length_threshold,
|
||||
max_iterations,
|
||||
splice_threshold,
|
||||
path_precision,
|
||||
);
|
||||
|
||||
convert_image_to_svg(&input_path, &output_path, config).unwrap();
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[pyfunction]
|
||||
fn convert_raw_image_to_svg(
|
||||
img_bytes: Vec<u8>,
|
||||
img_format: Option<&str>, // Format of the image (e.g. 'jpg', 'png'... A full list of supported formats can be found [here](https://docs.rs/image/latest/image/enum.ImageFormat.html)). If not provided, the image format will be guessed based on its contents.
|
||||
colormode: Option<&str>, // "color" or "binary"
|
||||
hierarchical: Option<&str>, // "stacked" or "cutout"
|
||||
mode: Option<&str>, // "polygon", "spline", "none"
|
||||
filter_speckle: Option<usize>, // default: 4
|
||||
color_precision: Option<i32>, // default: 6
|
||||
layer_difference: Option<i32>, // default: 16
|
||||
corner_threshold: Option<i32>, // default: 60
|
||||
length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
|
||||
max_iterations: Option<usize>, // default: 10
|
||||
splice_threshold: Option<i32>, // default: 45
|
||||
path_precision: Option<u32>, // default: 8
|
||||
) -> PyResult<String> {
|
||||
let config = construct_config(
|
||||
colormode,
|
||||
hierarchical,
|
||||
mode,
|
||||
filter_speckle,
|
||||
color_precision,
|
||||
layer_difference,
|
||||
corner_threshold,
|
||||
length_threshold,
|
||||
max_iterations,
|
||||
splice_threshold,
|
||||
path_precision,
|
||||
);
|
||||
let mut img_reader = Reader::new(BufReader::new(Cursor::new(img_bytes)));
|
||||
let img_format = img_format.and_then(|ext_name| ImageFormat::from_extension(ext_name));
|
||||
let img = match img_format {
|
||||
Some(img_format) => {
|
||||
img_reader.set_format(img_format);
|
||||
img_reader.decode()
|
||||
}
|
||||
None => img_reader
|
||||
.with_guessed_format()
|
||||
.map_err(|_| PyException::new_err("Unrecognized image format. "))?
|
||||
.decode(),
|
||||
};
|
||||
let img = match img {
|
||||
Ok(img) => img.to_rgba8(),
|
||||
Err(_) => return Err(PyException::new_err("Failed to decode img_bytes. ")),
|
||||
};
|
||||
let (width, height) = (img.width() as usize, img.height() as usize);
|
||||
let img = ColorImage {
|
||||
pixels: img.as_raw().to_vec(),
|
||||
width,
|
||||
height,
|
||||
};
|
||||
let svg =
|
||||
convert(img, config).map_err(|_| PyException::new_err("Failed to convert the image. "))?;
|
||||
Ok(format!("{}", svg))
|
||||
}
|
||||
|
||||
#[pyfunction]
|
||||
fn convert_pixels_to_svg(
|
||||
rgba_pixels: Vec<(u8, u8, u8, u8)>,
|
||||
size: (usize, usize),
|
||||
colormode: Option<&str>, // "color" or "binary"
|
||||
hierarchical: Option<&str>, // "stacked" or "cutout"
|
||||
mode: Option<&str>, // "polygon", "spline", "none"
|
||||
filter_speckle: Option<usize>, // default: 4
|
||||
color_precision: Option<i32>, // default: 6
|
||||
layer_difference: Option<i32>, // default: 16
|
||||
corner_threshold: Option<i32>, // default: 60
|
||||
length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
|
||||
max_iterations: Option<usize>, // default: 10
|
||||
splice_threshold: Option<i32>, // default: 45
|
||||
path_precision: Option<u32>, // default: 8
|
||||
) -> PyResult<String> {
|
||||
let expected_pixel_count = size.0 * size.1;
|
||||
if rgba_pixels.len() != expected_pixel_count {
|
||||
return Err(PyException::new_err(format!(
|
||||
"Length of rgba_pixels does not match given image size. Expected {} ({} * {}), got {}. ",
|
||||
expected_pixel_count,
|
||||
size.0,
|
||||
size.1,
|
||||
rgba_pixels.len()
|
||||
)));
|
||||
}
|
||||
let config = construct_config(
|
||||
colormode,
|
||||
hierarchical,
|
||||
mode,
|
||||
filter_speckle,
|
||||
color_precision,
|
||||
layer_difference,
|
||||
corner_threshold,
|
||||
length_threshold,
|
||||
max_iterations,
|
||||
splice_threshold,
|
||||
path_precision,
|
||||
);
|
||||
let mut flat_pixels: Vec<u8> = vec![];
|
||||
for (r, g, b, a) in rgba_pixels {
|
||||
flat_pixels.push(r);
|
||||
flat_pixels.push(g);
|
||||
flat_pixels.push(b);
|
||||
flat_pixels.push(a);
|
||||
}
|
||||
let mut img = ColorImage::new();
|
||||
img.pixels = flat_pixels;
|
||||
(img.width, img.height) = size;
|
||||
|
||||
let svg =
|
||||
convert(img, config).map_err(|_| PyException::new_err("Failed to convert the image. "))?;
|
||||
Ok(format!("{}", svg))
|
||||
}
|
||||
|
||||
fn construct_config(
|
||||
colormode: Option<&str>,
|
||||
hierarchical: Option<&str>,
|
||||
mode: Option<&str>,
|
||||
filter_speckle: Option<usize>,
|
||||
color_precision: Option<i32>,
|
||||
layer_difference: Option<i32>,
|
||||
corner_threshold: Option<i32>,
|
||||
length_threshold: Option<f64>,
|
||||
max_iterations: Option<usize>,
|
||||
splice_threshold: Option<i32>,
|
||||
path_precision: Option<u32>,
|
||||
) -> Config {
|
||||
// TODO: enforce color mode with an enum so that we only
|
||||
// accept the strings 'color' or 'binary'
|
||||
let color_mode = match colormode.unwrap_or("color") {
|
||||
@@ -52,7 +196,7 @@ fn convert_image_to_svg_py(
|
||||
let splice_threshold = splice_threshold.unwrap_or(45);
|
||||
let max_iterations = max_iterations.unwrap_or(10);
|
||||
|
||||
let config = Config {
|
||||
Config {
|
||||
color_mode,
|
||||
hierarchical,
|
||||
filter_speckle,
|
||||
@@ -65,15 +209,14 @@ fn convert_image_to_svg_py(
|
||||
splice_threshold,
|
||||
path_precision,
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
convert_image_to_svg(&input_path, &output_path, 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)?)?;
|
||||
m.add_function(wrap_pyfunction!(convert_raw_image_to_svg, m)?)?;
|
||||
m.add_function(wrap_pyfunction!(convert_pixels_to_svg, m)?)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
use std::fmt;
|
||||
use visioncortex::{Color, CompoundPath, PointF64};
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct SvgFile {
|
||||
pub paths: Vec<SvgPath>,
|
||||
pub width: usize,
|
||||
@@ -8,6 +9,7 @@ pub struct SvgFile {
|
||||
pub path_precision: Option<u32>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct SvgPath {
|
||||
pub path: CompoundPath,
|
||||
pub color: Color,
|
||||
|
||||
@@ -52,7 +52,17 @@ vtracer.convert_image_to_svg_py(inp, out)
|
||||
# Single-color example. Good for line art, and much faster than full color:
|
||||
vtracer.convert_image_to_svg_py(inp, out, colormode='binary')
|
||||
|
||||
# All the bells & whistles
|
||||
# Convert from raw image bytes
|
||||
input_img_bytes: bytes = get_bytes() # e.g. reading bytes from a file or a HTTP request body
|
||||
svg_str: str = vtracer.convert_raw_image_to_svg(input_img_bytes, img_format='jpg')
|
||||
|
||||
# Convert from RGBA image pixels
|
||||
from PIL import Image
|
||||
img = Image.open(input_path).convert('RGBA')
|
||||
pixels: list[tuple[int, int, int, int]] = list(img.getdata())
|
||||
svg_str: str = vtracer.convert_pixels_to_svg(pixels, img.size)
|
||||
|
||||
# All the bells & whistles, also applicable to convert_raw_image_to_svg and convert_pixels_to_svg.
|
||||
vtracer.convert_image_to_svg_py(inp,
|
||||
out,
|
||||
colormode = 'color', # ["color"] or "binary"
|
||||
|
||||
@@ -1 +1,2 @@
|
||||
from .vtracer import convert_image_to_svg_py
|
||||
from .vtracer import (convert_image_to_svg_py, convert_pixels_to_svg,
|
||||
convert_raw_image_to_svg)
|
||||
|
||||
@@ -15,3 +15,35 @@ def convert_image_to_svg_py(image_path: str,
|
||||
path_precision: Optional[int] = None, # default: 8
|
||||
) -> None:
|
||||
...
|
||||
|
||||
def convert_raw_image_to_svg(img_bytes: bytes,
|
||||
img_format: Optional[str] = None, # Format of the image (e.g. 'jpg', 'png'... A full list of supported formats can be found [here](https://docs.rs/image/latest/image/enum.ImageFormat.html)). If not provided, the image format will be guessed based on its contents.
|
||||
colormode: Optional[str] = None, # ["color"] or "binary"
|
||||
hierarchical: Optional[str] = None, # ["stacked"] or "cutout"
|
||||
mode: Optional[str] = None, # ["spline"], "polygon", "none"
|
||||
filter_speckle: Optional[int] = None, # default: 4
|
||||
color_precision: Optional[int] = None, # default: 6
|
||||
layer_difference: Optional[int] = None, # default: 16
|
||||
corner_threshold: Optional[int] = None, # default: 60
|
||||
length_threshold: Optional[float] = None, # in [3.5, 10] default: 4.0
|
||||
max_iterations: Optional[int] = None, # default: 10
|
||||
splice_threshold: Optional[int] = None, # default: 45
|
||||
path_precision: Optional[int] = None, # default: 8
|
||||
) -> str:
|
||||
...
|
||||
|
||||
def convert_pixels_to_svg(rgba_pixels: list[tuple[int, int, int, int]],
|
||||
size: tuple[int, int],
|
||||
colormode: Optional[str] = None, # ["color"] or "binary"
|
||||
hierarchical: Optional[str] = None, # ["stacked"] or "cutout"
|
||||
mode: Optional[str] = None, # ["spline"], "polygon", "none"
|
||||
filter_speckle: Optional[int] = None, # default: 4
|
||||
color_precision: Optional[int] = None, # default: 6
|
||||
layer_difference: Optional[int] = None, # default: 16
|
||||
corner_threshold: Optional[int] = None, # default: 60
|
||||
length_threshold: Optional[float] = None, # in [3.5, 10] default: 4.0
|
||||
max_iterations: Optional[int] = None, # default: 10
|
||||
splice_threshold: Optional[int] = None, # default: 45
|
||||
path_precision: Optional[int] = None, # default: 8
|
||||
) -> str:
|
||||
...
|
||||
@@ -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
|
||||
|
||||
@@ -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 = '';
|
||||
|
||||
@@ -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,
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use wasm_bindgen::prelude::*;
|
||||
use visioncortex::PathSimplifyMode;
|
||||
use visioncortex::color_clusters::{IncrementalBuilder, Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX};
|
||||
use visioncortex::{Color, ColorImage, PathSimplifyMode};
|
||||
use visioncortex::color_clusters::{Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX, IncrementalBuilder, KeyingAction};
|
||||
|
||||
use crate::canvas::*;
|
||||
use crate::svg::*;
|
||||
@@ -8,6 +8,8 @@ use crate::svg::*;
|
||||
use serde::Deserialize;
|
||||
use super::util;
|
||||
|
||||
const KEYING_THRESHOLD: f32 = 0.2;
|
||||
|
||||
#[derive(Debug, Deserialize)]
|
||||
pub struct ColorImageConverterParams {
|
||||
pub canvas_id: String,
|
||||
@@ -67,7 +69,26 @@ 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_color_image(0, 0, width, height);
|
||||
let mut image = self.canvas.get_image_data_as_color_image(0, 0, width, height);
|
||||
|
||||
let key_color = if Self::should_key_image(&image) {
|
||||
if let Ok(key_color) = Self::find_unused_color_in_image(&image) {
|
||||
for y in 0..height as usize {
|
||||
for x in 0..width as usize {
|
||||
if image.get_pixel(x, y).a == 0 {
|
||||
image.set_pixel(x, y, &key_color);
|
||||
}
|
||||
}
|
||||
}
|
||||
key_color
|
||||
} else {
|
||||
Color::default()
|
||||
}
|
||||
} 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: self.params.layer_difference == 0,
|
||||
hierarchical: HIERARCHICAL_MAX,
|
||||
@@ -78,6 +99,12 @@ impl ColorImageConverter {
|
||||
is_same_color_b: 1,
|
||||
deepen_diff: self.params.layer_difference,
|
||||
hollow_neighbours: 1,
|
||||
key_color,
|
||||
keying_action: if self.params.hierarchical == "cutout" {
|
||||
KeyingAction::Keep
|
||||
} else {
|
||||
KeyingAction::Discard
|
||||
},
|
||||
}, image);
|
||||
self.stage = Stage::Clustering(runner.start());
|
||||
}
|
||||
@@ -108,6 +135,8 @@ 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());
|
||||
},
|
||||
@@ -167,4 +196,56 @@ impl ColorImageConverter {
|
||||
}) as i32
|
||||
}
|
||||
|
||||
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),
|
||||
Color::new(128, 128, 128),
|
||||
]);
|
||||
for color in special_colors {
|
||||
if !Self::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_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_pixels += 1;
|
||||
}
|
||||
if num_transparent_pixels >= threshold {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
false
|
||||
}
|
||||
}
|
||||
@@ -1,6 +1,3 @@
|
||||
mod binary_image;
|
||||
mod color_image;
|
||||
mod util;
|
||||
|
||||
pub use binary_image::*;
|
||||
pub use color_image::*;
|
||||
Reference in New Issue
Block a user