use std::path::PathBuf;
use std::{fs::File, io::Write};
use visioncortex::{Color, ColorImage, ColorName};
use visioncortex::color_clusters::{Runner, RunnerConfig, HIERARCHICAL_MAX};
use super::config::{Config, ColorMode, Hierarchical, ConverterConfig};
use super::svg::SvgFile;
pub fn convert_image_to_svg(config: Config) -> Result<(), String> {
let config = config.into_converter_config();
match config.color_mode {
ColorMode::Color => color_image_to_svg(config),
ColorMode::Binary => binary_image_to_svg(config),
}
}
fn color_image_to_svg(config: ConverterConfig) -> Result<(), String> {
let (img, width, height);
match read_image(config.input_path) {
Ok(values) => {
img = values.0;
width = values.1;
height = values.2;
},
Err(msg) => return Err(msg),
}
let runner = Runner::new(RunnerConfig {
diagonal: config.layer_difference == 0,
hierarchical: HIERARCHICAL_MAX,
batch_size: 25600,
good_min_area: config.filter_speckle_area,
good_max_area: (width * height),
is_same_color_a: config.color_precision_loss,
is_same_color_b: 1,
deepen_diff: config.layer_difference,
hollow_neighbours: 1,
}, img);
let mut clusters = runner.run();
match config.hierarchical {
Hierarchical::Stacked => {}
Hierarchical::Cutout => {
let view = clusters.view();
let image = view.to_color_image();
let runner = Runner::new(RunnerConfig {
diagonal: false,
hierarchical: 64,
batch_size: 25600,
good_min_area: 0,
good_max_area: (image.width * image.height) as usize,
is_same_color_a: 0,
is_same_color_b: 1,
deepen_diff: 0,
hollow_neighbours: 0,
}, image);
clusters = runner.run();
},
}
let view = clusters.view();
let mut svg = SvgFile::new(width, height);
for &cluster_index in view.clusters_output.iter().rev() {
let cluster = view.get_cluster(cluster_index);
let paths = cluster.to_compound_path(
&view,
false,
config.mode,
config.corner_threshold,
config.length_threshold,
config.max_iterations,
config.splice_threshold
);
svg.add_path(paths, cluster.residue_color());
}
write_svg(svg, config.output_path)
}
fn binary_image_to_svg(config: ConverterConfig) -> Result<(), String> {
let (img, width, height);
match read_image(config.input_path) {
Ok(values) => {
img = values.0;
width = values.1;
height = values.2;
},
Err(msg) => return Err(msg),
}
let img = img.to_binary_image(|x| x.r < 128);
let clusters = img.to_clusters(false);
let mut svg = SvgFile::new(width, height);
for i in 0..clusters.len() {
let cluster = clusters.get_cluster(i);
if cluster.size() >= config.filter_speckle_area {
let paths = cluster.to_compound_path(
config.mode,
config.corner_threshold,
config.length_threshold,
config.max_iterations,
config.splice_threshold,
);
svg.add_path(paths, Color::color(&ColorName::Black));
}
}
write_svg(svg, config.output_path)
}
fn read_image(input_path: PathBuf) -> Result<(ColorImage, usize, usize), String> {
let img = image::open(input_path);
let img = match img {
Ok(file) => file.to_rgba(),
Err(_) => return Err(String::from("No image file found at specified input path")),
};
let (width, height) = (img.width() as usize, img.height() as usize);
let img = ColorImage {pixels: img.as_raw().to_vec(), width, height};
Ok((img, width, height))
}
fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
let out_file = File::create(output_path);
let mut out_file = match out_file {
Ok(file) => file,
Err(_) => return Err(String::from("Cannot create output file.")),
};
write!(&mut out_file, "{}", svg).expect("failed to write file.");
Ok(())
}