use bevy::color::Luminance;
use image::{DynamicImage, GenericImageView};
use ratatui::prelude::*;
use ratatui::widgets::WidgetRef;
use crate::color_support::color_for_color_support;
use crate::widget_utilities::{
average_in_rgba, calculate_render_area, coords_from_index, replace_detected_edges,
resize_image_to_area,
};
use crate::{ColorSupport, LuminanceConfig, RatatuiCameraEdgeDetection};
pub struct RatatuiCameraWidgetLuminance<'a> {
camera_image: &'a DynamicImage,
sobel_image: &'a Option<DynamicImage>,
strategy_config: &'a LuminanceConfig,
edge_detection: &'a Option<RatatuiCameraEdgeDetection>,
}
impl<'a> RatatuiCameraWidgetLuminance<'a> {
pub fn new(
camera_image: &'a DynamicImage,
sobel_image: &'a Option<DynamicImage>,
strategy_config: &'a LuminanceConfig,
edge_detection: &'a Option<RatatuiCameraEdgeDetection>,
) -> Self {
Self {
camera_image,
sobel_image,
strategy_config,
edge_detection,
}
}
}
impl WidgetRef for RatatuiCameraWidgetLuminance<'_> {
fn render_ref(&self, area: Rect, buf: &mut Buffer) {
let Self {
camera_image,
sobel_image,
strategy_config,
edge_detection,
} = self;
let camera_image = resize_image_to_area(area, camera_image);
let render_area = calculate_render_area(area, &camera_image);
let cell_candidates = convert_image_to_cell_candidates(
&camera_image,
&strategy_config.luminance_characters,
strategy_config.luminance_scale,
);
let sobel_image = sobel_image
.as_ref()
.map(|sobel_image| resize_image_to_area(area, sobel_image));
for (index, (mut character, mut color)) in cell_candidates.enumerate() {
let (x, y) = coords_from_index(index, &camera_image);
if x >= render_area.width || y >= render_area.height {
continue;
}
let Some(cell) = buf.cell_mut((render_area.x + x, render_area.y + y)) else {
continue;
};
if let (Some(sobel_image), Some(edge_detection)) = (&sobel_image, edge_detection) {
if !sobel_image.in_bounds(x as u32, y as u32 * 2) {
continue;
}
let sobel_value = sobel_image.get_pixel(x as u32, y as u32 * 2);
(character, color) =
replace_detected_edges(character, color, &sobel_value, edge_detection);
};
if strategy_config.transparent && matches!(color, Color::Reset) {
continue;
}
color = color_for_color_support(color, strategy_config.color_support);
if strategy_config.bg_color_scale > 0.0 {
if let ColorSupport::TrueColor = strategy_config.color_support {
if let Color::Rgb(r, g, b) = color {
let bg = Color::Rgb(
(r as f32 * strategy_config.bg_color_scale) as u8,
(g as f32 * strategy_config.bg_color_scale) as u8,
(b as f32 * strategy_config.bg_color_scale) as u8,
);
cell.set_bg(bg);
}
}
}
cell.set_fg(color).set_char(character);
}
}
}
fn convert_image_to_cell_candidates(
camera_image: &DynamicImage,
luminance_characters: &[char],
luminance_scale: f32,
) -> impl Iterator<Item = (char, Color)> {
let rgba_quads = convert_image_to_rgba_quads(camera_image);
rgba_quads.into_iter().map(move |rgba| {
let character =
convert_rgba_quads_to_character(&rgba, luminance_characters, luminance_scale);
let color = if rgba[3] == 0 {
Color::Reset
} else {
Color::Rgb(rgba[0], rgba[1], rgba[2])
};
(character, color)
})
}
fn convert_image_to_rgba_quads(camera_image: &DynamicImage) -> Vec<[u8; 4]> {
let mut rgba_quads =
vec![[0; 4]; (camera_image.width() * camera_image.height().div_ceil(2)) as usize];
for (y, row) in camera_image.to_rgba8().rows().enumerate() {
for (x, pixel) in row.enumerate() {
let position = x + (camera_image.width() as usize) * (y / 2);
if y % 2 == 0 {
rgba_quads[position] = pixel.0;
} else {
rgba_quads[position] = average_in_rgba(&rgba_quads[position], pixel);
}
}
}
rgba_quads
}
fn convert_rgba_quads_to_character(
rgba_quad: &[u8; 4],
luminance_characters: &[char],
luminance_scale: f32,
) -> char {
let luminance =
bevy::color::Color::srgba_u8(rgba_quad[0], rgba_quad[1], rgba_quad[2], rgba_quad[3])
.luminance();
let scaled_luminance = (luminance * luminance_scale).min(1.0);
let character_index = ((scaled_luminance * luminance_characters.len() as f32) as usize)
.min(luminance_characters.len() - 1);
let Some(character) = luminance_characters.get(character_index) else {
return ' ';
};
*character
}