Lenna is a library for image processing algorithms and apps.
This is the core library for lenna.
cargo build
cargo test
cargo test --features=python
wasm-pack test --node
use image::DynamicImage;
use lenna_core::core::processor::Processor;
use lenna_core::plugins::PluginRegistrar;
use lenna_core::ImageProcessor;
use lenna_core::ExifProcessor;
use lenna_core::ProcessorConfig;
lenna_core::export_plugin!(register);
extern "C" fn register(registrar: &mut dyn PluginRegistrar) {
registrar.add_plugin(Box::new(Plugin{ config: Config::default() }));
}
#[derive(Default, Clone, serde::Serialize, serde::Deserialize)]
struct Config {
}
#[derive(Clone)]
pub struct Plugin {
config: Config
};
impl Processor for Plugin {
fn name(&self) -> String {
"plugin".into()
}
fn title(&self) -> String {
"Plugin".into()
}
fn author(&self) -> String {
"chriamue".into()
}
fn description(&self) -> String {
"Plugin description.".into()
}
fn process(
&mut self,
config: ProcessorConfig,
image: &mut Box<lenna_core::LennaImage>,
) -> Result<(), Box<dyn std::error::Error>> {
self.config = serde_json::from_value(config.config).unwrap();
self.process_exif(&mut image.exif).unwrap();
self.process_image(&mut image.image).unwrap();
Ok(())
}
fn default_config(&self) -> serde_json::Value {
serde_json::to_value(Config::default()).unwrap()
}
}
impl ImageProcessor for Plugin {
fn process_image(
&self,
image: &mut Box<DynamicImage>,
) -> Result<(), Box<dyn std::error::Error>> {
let img = DynamicImage::ImageRgba8(image.to_rgba8());
*image = Box::new(img);
Ok(())
}
}
impl ExifProcessor for Plugin {}
Create a virtual environment for python and install lenna-core using pip.
virtualenv -p python3 .venv
source .venv/bin/activate
pip install .
python src/plugins/python/test.py
import lenna_core_py
print(lenna_core_py.Resize.description())
Rust | JavaScript | Python | C++ | WASM |
---|---|---|---|---|
Yes | Yes | Yes | No | Yes |
This software is licensed under the MIT © lenna-project.