mirror of
https://github.com/visioncortex/vtracer.git
synced 2025-12-06 17:15:41 -08:00
Cutout mode
This commit is contained in:
@@ -9,18 +9,22 @@ pub enum Preset {
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Photo
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}
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#[derive(Debug)]
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pub enum ColorMode {
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Color,
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Binary,
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}
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pub enum Hierarchical {
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Stacked,
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Cutout,
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}
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/// Converter config
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#[derive(Debug)]
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pub struct Config {
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pub input_path: PathBuf,
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pub output_path: PathBuf,
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pub color_mode: ColorMode,
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pub hierarchical: Hierarchical,
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pub filter_speckle: usize,
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pub color_precision: i32,
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pub layer_difference: i32,
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@@ -31,11 +35,11 @@ pub struct Config {
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pub splice_threshold: i32,
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}
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#[derive(Debug)]
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pub(crate) struct ConverterConfig {
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pub input_path: PathBuf,
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pub output_path: PathBuf,
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pub color_mode: ColorMode,
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pub hierarchical: Hierarchical,
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pub filter_speckle_area: usize,
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pub color_precision_loss: i32,
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pub layer_difference: i32,
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@@ -52,6 +56,7 @@ impl Default for Config {
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input_path: PathBuf::default(),
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output_path: PathBuf::default(),
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color_mode: ColorMode::Color,
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hierarchical: Hierarchical::Stacked,
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mode: PathSimplifyMode::Spline,
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filter_speckle: 4,
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color_precision: 6,
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@@ -76,6 +81,18 @@ impl FromStr for ColorMode {
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}
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}
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impl FromStr for Hierarchical {
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type Err = String;
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fn from_str(s: &str) -> Result<Self, Self::Err> {
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match s {
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"stacked" => Ok(Self::Stacked),
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"cutout" => Ok(Self::Cutout),
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_ => Err(format!("unknown Hierarchical {}", s)),
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}
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}
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}
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impl FromStr for Preset {
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type Err = String;
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@@ -122,6 +139,14 @@ impl Config {
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.takes_value(true)
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.help("True color image `color` (default) or Binary image `bw`"));
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let app = app.arg(Arg::with_name("hierarchical")
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.long("hierarchical")
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.takes_value(true)
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.help(
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"Hierarchical clustering `stacked` (default) or non-stacked `cutout`. \
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Only applies to color mode. "
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));
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let app = app.arg(Arg::with_name("preset")
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.long("preset")
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.takes_value(true)
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@@ -187,6 +212,10 @@ impl Config {
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config.color_mode = ColorMode::from_str(if value.trim() == "bw" || value.trim() == "BW" {"binary"} else {"color"}).unwrap()
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}
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if let Some(value) = matches.value_of("hierarchical") {
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config.hierarchical = Hierarchical::from_str(value).unwrap()
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}
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if let Some(value) = matches.value_of("mode") {
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let value = value.trim();
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config.mode = path_simplify_mode_from_str(if value == "pixel" {
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@@ -283,6 +312,7 @@ impl Config {
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input_path,
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output_path,
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color_mode: ColorMode::Binary,
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hierarchical: Hierarchical::Stacked,
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filter_speckle: 4,
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color_precision: 6,
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layer_difference: 16,
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@@ -296,6 +326,7 @@ impl Config {
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input_path,
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output_path,
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color_mode: ColorMode::Color,
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hierarchical: Hierarchical::Stacked,
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filter_speckle: 4,
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color_precision: 8,
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layer_difference: 16,
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@@ -309,6 +340,7 @@ impl Config {
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input_path,
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output_path,
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color_mode: ColorMode::Color,
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hierarchical: Hierarchical::Stacked,
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filter_speckle: 10,
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color_precision: 8,
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layer_difference: 48,
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@@ -326,6 +358,7 @@ impl Config {
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input_path: self.input_path,
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output_path: self.output_path,
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color_mode: self.color_mode,
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hierarchical: self.hierarchical,
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filter_speckle_area: self.filter_speckle * self.filter_speckle,
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color_precision_loss: 8 - self.color_precision,
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layer_difference: self.layer_difference,
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@@ -3,7 +3,7 @@ use std::{fs::File, io::Write};
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use visioncortex::{Color, ColorImage, ColorName};
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use visioncortex::color_clusters::{Runner, RunnerConfig, HIERARCHICAL_MAX};
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use super::config::{Config, ColorMode, ConverterConfig};
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use super::config::{Config, ColorMode, Hierarchical, ConverterConfig};
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use super::svg::SvgFile;
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/// Convert an image file into svg file
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@@ -38,7 +38,27 @@ fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
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hollow_neighbours: 1,
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}, img);
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let clusters = runner.run();
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let mut clusters = runner.run();
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match config.hierarchical {
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Hierarchical::Stacked => {}
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Hierarchical::Cutout => {
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let view = clusters.view();
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let image = view.to_color_image();
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let runner = Runner::new(RunnerConfig {
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diagonal: false,
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hierarchical: 64,
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batch_size: 25600,
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good_min_area: 0,
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good_max_area: (image.width * image.height) as usize,
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is_same_color_a: 0,
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is_same_color_b: 1,
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deepen_diff: 0,
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hollow_neighbours: 0,
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}, image);
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clusters = runner.run();
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},
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}
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let view = clusters.view();
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@@ -90,6 +90,13 @@
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</div>
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</div>
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<div>
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<div>
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<button id="clustering-cutout" title="Shapes disjoint with others">Cutout</button>
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<button id="clustering-stacked" title="Stack shapes on top of another">Stacked</button>
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</div>
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</div>
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<div>
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<div title="Discard patches small than X px in size">
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Filter Speckle <span>(Cleaner)</span>
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@@ -7,7 +7,7 @@ const svg = document.getElementById('svg');
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const img = new Image();
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const progress = document.getElementById('progressbar');
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const progressregion = document.getElementById('progressregion');
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let mode = 'spline', clustering_mode = 'color';
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let mode = 'spline', clustering_mode = 'color', clustering_hierarchical = 'stacked';
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// Hide canas and svg on load
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canvas.style.display = 'none';
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@@ -15,22 +15,22 @@ svg.style.display = 'none';
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// Paste from clipboard
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document.addEventListener('paste', function (e) {
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if (e.clipboardData) {
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var items = e.clipboardData.items;
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if (!items) return;
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if (e.clipboardData) {
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var items = e.clipboardData.items;
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if (!items) return;
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//access data directly
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for (var i = 0; i < items.length; i++) {
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if (items[i].type.indexOf("image") !== -1) {
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//image
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var blob = items[i].getAsFile();
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var URLObj = window.URL || window.webkitURL;
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var source = URLObj.createObjectURL(blob);
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setSourceAndRestart(source);
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}
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}
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e.preventDefault();
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}
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//access data directly
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for (var i = 0; i < items.length; i++) {
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if (items[i].type.indexOf("image") !== -1) {
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//image
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var blob = items[i].getAsFile();
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var URLObj = window.URL || window.webkitURL;
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var source = URLObj.createObjectURL(blob);
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setSourceAndRestart(source);
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}
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}
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e.preventDefault();
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}
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});
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// Download as SVG
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@@ -49,6 +49,7 @@ var presetConfigs = [
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{
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src: 'assets/samples/K1_drawing.jpg',
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clustering_mode: 'binary',
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clustering_hierarchical: 'stacked',
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filter_speckle: 4,
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color_precision: 6,
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layer_difference: 16,
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@@ -62,6 +63,7 @@ var presetConfigs = [
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{
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src: 'assets/samples/Cityscape Sunset_DFM3-01.jpg',
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clustering_mode: 'color',
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clustering_hierarchical: 'stacked',
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filter_speckle: 4,
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color_precision: 8,
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layer_difference: 25,
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@@ -75,6 +77,7 @@ var presetConfigs = [
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{
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src: 'assets/samples/Gum Tree Vector.jpg',
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clustering_mode: 'color',
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clustering_hierarchical: 'cutout',
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filter_speckle: 4,
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color_precision: 8,
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layer_difference: 28,
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@@ -88,6 +91,7 @@ var presetConfigs = [
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{
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src: 'assets/samples/vectorstock_31191940.png',
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clustering_mode: 'color',
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clustering_hierarchical: 'stacked',
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filter_speckle: 8,
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color_precision: 7,
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layer_difference: 64,
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@@ -101,6 +105,7 @@ var presetConfigs = [
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{
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src: 'assets/samples/angel-luciano-LATYeZyw88c-unsplash-s.jpg',
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clustering_mode: 'color',
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clustering_hierarchical: 'stacked',
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filter_speckle: 10,
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color_precision: 8,
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layer_difference: 48,
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@@ -114,6 +119,7 @@ var presetConfigs = [
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{
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src: 'assets/samples/tank-unit-preview.png',
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clustering_mode: 'color',
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clustering_hierarchical: 'stacked',
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filter_speckle: 0,
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color_precision: 8,
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layer_difference: 0,
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@@ -127,63 +133,66 @@ var presetConfigs = [
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];
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// Insert gallery items dynamically
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for (let i = 0; i < presetConfigs.length; i++) {
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document.getElementById('galleryslider').innerHTML +=
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`<li>
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<div class="galleryitem uk-panel uk-flex uk-flex-center">
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<a href="#">
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<img src="${presetConfigs[i].src}" title="${presetConfigs[i].source}">
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</a>
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</div>
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</li>`;
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document.getElementById('credits-modal-content').innerHTML +=
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`<p>${presetConfigs[i].credit}</p>`;
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if (document.getElementById('galleryslider')) {
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for (let i = 0; i < presetConfigs.length; i++) {
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document.getElementById('galleryslider').innerHTML +=
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`<li>
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<div class="galleryitem uk-panel uk-flex uk-flex-center">
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<a href="#">
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<img src="${presetConfigs[i].src}" title="${presetConfigs[i].source}">
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</a>
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</div>
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</li>`;
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document.getElementById('credits-modal-content').innerHTML +=
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`<p>${presetConfigs[i].credit}</p>`;
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}
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}
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// Function to load a given config WITHOUT restarting
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function loadConfig(config) {
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mode = config.mode;
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clustering_mode = config.clustering_mode;
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mode = config.mode;
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clustering_mode = config.clustering_mode;
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clustering_hierarchical = config.clustering_hierarchical;
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globalcorner = config.corner_threshold;
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document.getElementById('cornervalue').innerHTML = globalcorner;
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document.getElementById('corner').value = globalcorner;
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globallength = config.length_threshold;
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document.getElementById('lengthvalue').innerHTML = globallength;
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document.getElementById('length').value = globallength;
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globalsplice = config.splice_threshold;
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document.getElementById('splicevalue').innerHTML = globalsplice;
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document.getElementById('splice').value = globalsplice;
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globalcorner = config.corner_threshold;
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document.getElementById('cornervalue').innerHTML = globalcorner;
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document.getElementById('corner').value = globalcorner;
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globallength = config.length_threshold;
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document.getElementById('lengthvalue').innerHTML = globallength;
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document.getElementById('length').value = globallength;
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globalsplice = config.splice_threshold;
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document.getElementById('splicevalue').innerHTML = globalsplice;
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document.getElementById('splice').value = globalsplice;
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globalfilterspeckle = config.filter_speckle;
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document.getElementById('filterspecklevalue').innerHTML = globalfilterspeckle;
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document.getElementById('filterspeckle').value = globalfilterspeckle;
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globalfilterspeckle = config.filter_speckle;
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document.getElementById('filterspecklevalue').innerHTML = globalfilterspeckle;
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document.getElementById('filterspeckle').value = globalfilterspeckle;
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globalcolorprecision = config.color_precision;
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document.getElementById('colorprecisionvalue').innerHTML = globalcolorprecision;
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document.getElementById('colorprecision').value = globalcolorprecision;
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globalcolorprecision = config.color_precision;
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document.getElementById('colorprecisionvalue').innerHTML = globalcolorprecision;
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document.getElementById('colorprecision').value = globalcolorprecision;
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globallayerdifference = config.layer_difference;
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document.getElementById('layerdifferencevalue').innerHTML = globallayerdifference;
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document.getElementById('layerdifference').value = globallayerdifference;
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globallayerdifference = config.layer_difference;
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document.getElementById('layerdifferencevalue').innerHTML = globallayerdifference;
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document.getElementById('layerdifference').value = globallayerdifference;
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}
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// Choose template from gallery
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let chooseGalleryButtons = document.querySelectorAll('.galleryitem a');
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chooseGalleryButtons.forEach(item => {
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item.addEventListener('click', function (e) {
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// Load preset template config
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let i = Array.prototype.indexOf.call(chooseGalleryButtons, item);
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if (presetConfigs.length > i) {
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loadConfig(presetConfigs[i]);
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}
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item.addEventListener('click', function (e) {
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// Load preset template config
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let i = Array.prototype.indexOf.call(chooseGalleryButtons, item);
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if (presetConfigs.length > i) {
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loadConfig(presetConfigs[i]);
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}
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// Set source as specified
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setSourceAndRestart(this.firstElementChild.src);
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});
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// Set source as specified
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setSourceAndRestart(this.firstElementChild.src);
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});
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});
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// Upload button
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@@ -272,6 +281,16 @@ document.getElementById('clustering-color').addEventListener('click', function (
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restart();
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}, false);
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document.getElementById('clustering-cutout').addEventListener('click', function (e) {
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clustering_hierarchical = 'cutout';
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restart();
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}, false);
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document.getElementById('clustering-stacked').addEventListener('click', function (e) {
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clustering_hierarchical = 'stacked';
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restart();
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}, false);
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document.getElementById('filterspeckle').addEventListener('change', function (e) {
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globalfilterspeckle = parseInt(this.value);
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document.getElementById('filterspecklevalue').innerHTML = this.value;
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@@ -352,6 +371,10 @@ function restart() {
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el.style.display = clustering_mode == 'color' ? '' : 'none';
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});
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document.getElementById('clustering-cutout').classList.remove('selected');
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document.getElementById('clustering-stacked').classList.remove('selected');
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document.getElementById('clustering-' + clustering_hierarchical).classList.add('selected');
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||||
|
||||
document.getElementById('none').classList.remove('selected');
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document.getElementById('polygon').classList.remove('selected');
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document.getElementById('spline').classList.remove('selected');
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@@ -373,6 +396,7 @@ function restart() {
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'svg_id': svg.id,
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'mode': mode,
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'clustering_mode': clustering_mode,
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'hierarchical': clustering_hierarchical,
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'corner_threshold': deg2rad(globalcorner),
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'length_threshold': globallength,
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||||
'max_iterations': 10,
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||||
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@@ -13,6 +13,7 @@ pub struct ColorImageConverterParams {
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pub canvas_id: String,
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pub svg_id: String,
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||||
pub mode: String,
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||||
pub hierarchical: String,
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||||
pub corner_threshold: f64,
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||||
pub length_threshold: f64,
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||||
pub max_iterations: usize,
|
||||
@@ -35,6 +36,7 @@ pub struct ColorImageConverter {
|
||||
pub enum Stage {
|
||||
New,
|
||||
Clustering(IncrementalBuilder),
|
||||
Reclustering(IncrementalBuilder),
|
||||
Vectorize(Clusters),
|
||||
}
|
||||
|
||||
@@ -86,6 +88,35 @@ impl ColorImageConverter {
|
||||
},
|
||||
Stage::Clustering(builder) => {
|
||||
self.canvas.log("Clustering tick");
|
||||
if builder.tick() {
|
||||
match self.params.hierarchical.as_str() {
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||||
"stacked" => {
|
||||
self.stage = Stage::Vectorize(builder.result());
|
||||
},
|
||||
"cutout" => {
|
||||
let clusters = builder.result();
|
||||
let view = clusters.view();
|
||||
let image = view.to_color_image();
|
||||
let runner = Runner::new(RunnerConfig {
|
||||
diagonal: false,
|
||||
hierarchical: 64,
|
||||
batch_size: 25600,
|
||||
good_min_area: 0,
|
||||
good_max_area: (image.width * image.height) as usize,
|
||||
is_same_color_a: 0,
|
||||
is_same_color_b: 1,
|
||||
deepen_diff: 0,
|
||||
hollow_neighbours: 0,
|
||||
}, image);
|
||||
self.stage = Stage::Reclustering(runner.start());
|
||||
},
|
||||
_ => panic!("unknown hierarchical `{}`", self.params.hierarchical)
|
||||
}
|
||||
}
|
||||
false
|
||||
},
|
||||
Stage::Reclustering(builder) => {
|
||||
self.canvas.log("Reclustering tick");
|
||||
if builder.tick() {
|
||||
self.stage = Stage::Vectorize(builder.result())
|
||||
}
|
||||
@@ -125,6 +156,9 @@ impl ColorImageConverter {
|
||||
Stage::Clustering(builder) => {
|
||||
builder.progress() / 2
|
||||
},
|
||||
Stage::Reclustering(_builder) => {
|
||||
50
|
||||
},
|
||||
Stage::Vectorize(clusters) => {
|
||||
50 + 50 * self.counter as u32 / clusters.view().clusters_output.len() as u32
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user