mirror of
https://github.com/tiennm99/WPlace-AutoBOT.git
synced 2026-05-30 16:19:14 +00:00
MiraclePatrickLumowa
23c3bb9747
-move artwork feature -some bug fixes -extracted artwork reprocessing
1316 lines
39 KiB
JavaScript
1316 lines
39 KiB
JavaScript
// ==UserScript==
|
|
// @name WPlace Image Processor
|
|
// @namespace http://tampermonkey.net/
|
|
// @version 2025-09-16.1
|
|
// @description Image processing and color management for WPlace AutoBot
|
|
// @author Wbot
|
|
// @match https://wplace.live/*
|
|
// @grant none
|
|
// ==/UserScript==
|
|
|
|
/**
|
|
* ImageProcessor - Handles image loading, processing, color conversion, and dithering for WPlace AutoBot
|
|
* Extracted from Auto-Image.js for better modularity and reusabilit
|
|
*/
|
|
class ImageProcessor {
|
|
constructor(imageSrc = null) {
|
|
this.imageSrc = imageSrc;
|
|
this.img = null;
|
|
this.canvas = null;
|
|
this.ctx = null;
|
|
|
|
// Dithering buffers
|
|
this._ditherWorkBuf = null;
|
|
this._ditherEligibleBuf = null;
|
|
|
|
// Color cache for performance optimization
|
|
this._colorCache = new Map();
|
|
this._labCache = new Map();
|
|
this._hsvCache = new Map();
|
|
this._hslCache = new Map();
|
|
this._xyzCache = new Map();
|
|
this._luvCache = new Map();
|
|
this._yuvCache = new Map();
|
|
this._oklabCache = new Map();
|
|
this._lchCache = new Map();
|
|
|
|
// Configuration constants
|
|
this.TRANSPARENCY_THRESHOLD = 128;
|
|
this.WHITE_THRESHOLD = 230;
|
|
this.COLOR_CACHE_LIMIT = 15000;
|
|
}
|
|
|
|
/**
|
|
* Load image from source
|
|
* @returns {Promise<void>}
|
|
*/
|
|
async load() {
|
|
if (!this.imageSrc) {
|
|
throw new Error('No image source provided');
|
|
}
|
|
|
|
return new Promise((resolve, reject) => {
|
|
this.img = new Image();
|
|
this.img.crossOrigin = 'anonymous';
|
|
this.img.onload = () => {
|
|
this.canvas = document.createElement('canvas');
|
|
this.ctx = this.canvas.getContext('2d');
|
|
this.canvas.width = this.img.width;
|
|
this.canvas.height = this.img.height;
|
|
this.ctx.drawImage(this.img, 0, 0);
|
|
resolve();
|
|
};
|
|
this.img.onerror = reject;
|
|
this.img.src = this.imageSrc;
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Get image dimensions
|
|
* @returns {{width: number, height: number}}
|
|
*/
|
|
getDimensions() {
|
|
if (!this.canvas) {
|
|
throw new Error('Image not loaded. Call load() first.');
|
|
}
|
|
return {
|
|
width: this.canvas.width,
|
|
height: this.canvas.height,
|
|
};
|
|
}
|
|
|
|
/**
|
|
* Get pixel data from the image
|
|
* @returns {Uint8ClampedArray} RGBA pixel data
|
|
*/
|
|
getPixelData() {
|
|
if (!this.ctx) {
|
|
throw new Error('Image not loaded. Call load() first.');
|
|
}
|
|
return this.ctx.getImageData(0, 0, this.canvas.width, this.canvas.height).data;
|
|
}
|
|
|
|
/**
|
|
* Resize image to new dimensions
|
|
* @param {number} newWidth - Target width
|
|
* @param {number} newHeight - Target height
|
|
* @returns {Uint8ClampedArray} Resized image data
|
|
*/
|
|
resize(newWidth, newHeight) {
|
|
if (!this.canvas || !this.ctx) {
|
|
throw new Error('Image not loaded. Call load() first.');
|
|
}
|
|
|
|
const tempCanvas = document.createElement('canvas');
|
|
const tempCtx = tempCanvas.getContext('2d');
|
|
|
|
tempCanvas.width = newWidth;
|
|
tempCanvas.height = newHeight;
|
|
|
|
tempCtx.imageSmoothingEnabled = false;
|
|
tempCtx.drawImage(this.canvas, 0, 0, newWidth, newHeight);
|
|
|
|
this.canvas.width = newWidth;
|
|
this.canvas.height = newHeight;
|
|
this.ctx.imageSmoothingEnabled = false;
|
|
this.ctx.drawImage(tempCanvas, 0, 0);
|
|
|
|
return this.ctx.getImageData(0, 0, newWidth, newHeight).data;
|
|
}
|
|
|
|
/**
|
|
* Generate preview with resizing
|
|
* @param {number} width - Preview width
|
|
* @param {number} height - Preview height
|
|
* @returns {string} Base64 data URL of the preview
|
|
*/
|
|
generatePreview(width, height) {
|
|
if (!this.canvas) {
|
|
throw new Error('Image not loaded. Call load() first.');
|
|
}
|
|
|
|
const previewCanvas = document.createElement('canvas');
|
|
const previewCtx = previewCanvas.getContext('2d');
|
|
previewCanvas.width = width;
|
|
previewCanvas.height = height;
|
|
|
|
previewCtx.imageSmoothingEnabled = false;
|
|
previewCtx.drawImage(this.canvas, 0, 0, width, height);
|
|
|
|
return previewCanvas.toDataURL();
|
|
}
|
|
|
|
// =============================================
|
|
// COLOR PROCESSING METHODS
|
|
// =============================================
|
|
|
|
/**
|
|
* Convert RGB to LAB color space
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} LAB values [L, a, b]
|
|
* @private
|
|
*/
|
|
_rgbToLab(r, g, b) {
|
|
// Normalize RGB values
|
|
let x = r / 255.0;
|
|
let y = g / 255.0;
|
|
let z = b / 255.0;
|
|
|
|
// Apply gamma correction
|
|
x = x > 0.04045 ? Math.pow((x + 0.055) / 1.055, 2.4) : x / 12.92;
|
|
y = y > 0.04045 ? Math.pow((y + 0.055) / 1.055, 2.4) : y / 12.92;
|
|
z = z > 0.04045 ? Math.pow((z + 0.055) / 1.055, 2.4) : z / 12.92;
|
|
|
|
// Convert to XYZ using sRGB matrix
|
|
let X = x * 0.4124564 + y * 0.3575761 + z * 0.1804375;
|
|
let Y = x * 0.2126729 + y * 0.7151522 + z * 0.0721750;
|
|
let Z = x * 0.0193339 + y * 0.1191920 + z * 0.9503041;
|
|
|
|
// Normalize for D65 illuminant
|
|
X /= 0.95047;
|
|
Y /= 1.00000;
|
|
Z /= 1.08883;
|
|
|
|
// Convert to LAB
|
|
X = X > 0.008856 ? Math.pow(X, 1/3) : (7.787 * X + 16/116);
|
|
Y = Y > 0.008856 ? Math.pow(Y, 1/3) : (7.787 * Y + 16/116);
|
|
Z = Z > 0.008856 ? Math.pow(Z, 1/3) : (7.787 * Z + 16/116);
|
|
|
|
const L = 116 * Y - 16;
|
|
const a = 500 * (X - Y);
|
|
const b2 = 200 * (Y - Z);
|
|
|
|
return [L, a, b2];
|
|
}
|
|
|
|
/**
|
|
* Get LAB values with caching
|
|
* @param {number} r - Red value
|
|
* @param {number} g - Green value
|
|
* @param {number} b - Blue value
|
|
* @returns {number[]} Cached LAB values
|
|
* @private
|
|
*/
|
|
_getLab(r, g, b) {
|
|
const key = (r << 16) | (g << 8) | b;
|
|
let v = this._labCache.get(key);
|
|
if (!v) {
|
|
v = this._rgbToLab(r, g, b);
|
|
this._labCache.set(key, v);
|
|
}
|
|
return v;
|
|
}
|
|
|
|
/**
|
|
* Convert RGB to HSV color space
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} HSV values [H (0-360), S (0-1), V (0-1)]
|
|
* @private
|
|
*/
|
|
_rgbToHsv(r, g, b) {
|
|
r /= 255;
|
|
g /= 255;
|
|
b /= 255;
|
|
|
|
const max = Math.max(r, g, b);
|
|
const min = Math.min(r, g, b);
|
|
const delta = max - min;
|
|
|
|
let h = 0;
|
|
const s = max === 0 ? 0 : delta / max;
|
|
const v = max;
|
|
|
|
if (delta !== 0) {
|
|
if (max === r) {
|
|
h = ((g - b) / delta) % 6;
|
|
} else if (max === g) {
|
|
h = (b - r) / delta + 2;
|
|
} else {
|
|
h = (r - g) / delta + 4;
|
|
}
|
|
h *= 60;
|
|
if (h < 0) h += 360;
|
|
}
|
|
|
|
return [h, s, v];
|
|
}
|
|
|
|
/**
|
|
* Convert HSV to RGB color space
|
|
* @param {number} h - Hue value (0-360)
|
|
* @param {number} s - Saturation value (0-1)
|
|
* @param {number} v - Value/Brightness (0-1)
|
|
* @returns {number[]} RGB values [R, G, B] (0-255)
|
|
* @private
|
|
*/
|
|
_hsvToRgb(h, s, v) {
|
|
const c = v * s;
|
|
const x = c * (1 - Math.abs(((h / 60) % 2) - 1));
|
|
const m = v - c;
|
|
|
|
let r = 0, g = 0, b = 0;
|
|
|
|
if (h >= 0 && h < 60) {
|
|
r = c; g = x; b = 0;
|
|
} else if (h >= 60 && h < 120) {
|
|
r = x; g = c; b = 0;
|
|
} else if (h >= 120 && h < 180) {
|
|
r = 0; g = c; b = x;
|
|
} else if (h >= 180 && h < 240) {
|
|
r = 0; g = x; b = c;
|
|
} else if (h >= 240 && h < 300) {
|
|
r = x; g = 0; b = c;
|
|
} else if (h >= 300 && h < 360) {
|
|
r = c; g = 0; b = x;
|
|
}
|
|
|
|
return [
|
|
Math.round((r + m) * 255),
|
|
Math.round((g + m) * 255),
|
|
Math.round((b + m) * 255)
|
|
];
|
|
}
|
|
|
|
/**
|
|
* Convert RGB to HSL color space
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} HSL values [H (0-360), S (0-1), L (0-1)]
|
|
* @private
|
|
*/
|
|
_rgbToHsl(r, g, b) {
|
|
r /= 255;
|
|
g /= 255;
|
|
b /= 255;
|
|
|
|
const max = Math.max(r, g, b);
|
|
const min = Math.min(r, g, b);
|
|
const delta = max - min;
|
|
|
|
let h = 0;
|
|
let s = 0;
|
|
const l = (max + min) / 2;
|
|
|
|
if (delta !== 0) {
|
|
s = l > 0.5 ? delta / (2 - max - min) : delta / (max + min);
|
|
|
|
if (max === r) {
|
|
h = ((g - b) / delta) % 6;
|
|
} else if (max === g) {
|
|
h = (b - r) / delta + 2;
|
|
} else {
|
|
h = (r - g) / delta + 4;
|
|
}
|
|
h *= 60;
|
|
if (h < 0) h += 360;
|
|
}
|
|
|
|
return [h, s, l];
|
|
}
|
|
|
|
/**
|
|
* Convert HSL to RGB color space
|
|
* @param {number} h - Hue value (0-360)
|
|
* @param {number} s - Saturation value (0-1)
|
|
* @param {number} l - Lightness value (0-1)
|
|
* @returns {number[]} RGB values [R, G, B] (0-255)
|
|
* @private
|
|
*/
|
|
_hslToRgb(h, s, l) {
|
|
const c = (1 - Math.abs(2 * l - 1)) * s;
|
|
const x = c * (1 - Math.abs(((h / 60) % 2) - 1));
|
|
const m = l - c / 2;
|
|
|
|
let r = 0, g = 0, b = 0;
|
|
|
|
if (h >= 0 && h < 60) {
|
|
r = c; g = x; b = 0;
|
|
} else if (h >= 60 && h < 120) {
|
|
r = x; g = c; b = 0;
|
|
} else if (h >= 120 && h < 180) {
|
|
r = 0; g = c; b = x;
|
|
} else if (h >= 180 && h < 240) {
|
|
r = 0; g = x; b = c;
|
|
} else if (h >= 240 && h < 300) {
|
|
r = x; g = 0; b = c;
|
|
} else if (h >= 300 && h < 360) {
|
|
r = c; g = 0; b = x;
|
|
}
|
|
|
|
return [
|
|
Math.round((r + m) * 255),
|
|
Math.round((g + m) * 255),
|
|
Math.round((b + m) * 255)
|
|
];
|
|
}
|
|
|
|
/**
|
|
* Convert RGB to XYZ color space
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} XYZ values [X, Y, Z]
|
|
* @private
|
|
*/
|
|
_rgbToXyz(r, g, b) {
|
|
// Normalize RGB values
|
|
let x = r / 255.0;
|
|
let y = g / 255.0;
|
|
let z = b / 255.0;
|
|
|
|
// Apply gamma correction
|
|
x = x > 0.04045 ? Math.pow((x + 0.055) / 1.055, 2.4) : x / 12.92;
|
|
y = y > 0.04045 ? Math.pow((y + 0.055) / 1.055, 2.4) : y / 12.92;
|
|
z = z > 0.04045 ? Math.pow((z + 0.055) / 1.055, 2.4) : z / 12.92;
|
|
|
|
// Convert to XYZ using sRGB matrix
|
|
const X = x * 0.4124564 + y * 0.3575761 + z * 0.1804375;
|
|
const Y = x * 0.2126729 + y * 0.7151522 + z * 0.0721750;
|
|
const Z = x * 0.0193339 + y * 0.1191920 + z * 0.9503041;
|
|
|
|
return [X, Y, Z];
|
|
}
|
|
|
|
/**
|
|
* Convert XYZ to RGB color space
|
|
* @param {number} x - X value
|
|
* @param {number} y - Y value
|
|
* @param {number} z - Z value
|
|
* @returns {number[]} RGB values [R, G, B] (0-255)
|
|
* @private
|
|
*/
|
|
_xyzToRgb(x, y, z) {
|
|
// Convert XYZ to linear RGB
|
|
let r = x * 3.2404542 + y * -1.5371385 + z * -0.4985314;
|
|
let g = x * -0.9692660 + y * 1.8760108 + z * 0.0415560;
|
|
let b = x * 0.0556434 + y * -0.2040259 + z * 1.0572252;
|
|
|
|
// Apply gamma correction
|
|
r = r > 0.0031308 ? 1.055 * Math.pow(r, 1.0 / 2.4) - 0.055 : 12.92 * r;
|
|
g = g > 0.0031308 ? 1.055 * Math.pow(g, 1.0 / 2.4) - 0.055 : 12.92 * g;
|
|
b = b > 0.0031308 ? 1.055 * Math.pow(b, 1.0 / 2.4) - 0.055 : 12.92 * b;
|
|
|
|
// Clamp and convert to 0-255 range
|
|
return [
|
|
Math.round(Math.max(0, Math.min(1, r)) * 255),
|
|
Math.round(Math.max(0, Math.min(1, g)) * 255),
|
|
Math.round(Math.max(0, Math.min(1, b)) * 255)
|
|
];
|
|
}
|
|
|
|
/**
|
|
* Convert RGB to LUV color space
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} LUV values [L, u, v]
|
|
* @private
|
|
*/
|
|
_rgbToLuv(r, g, b) {
|
|
const [X, Y, Z] = this._rgbToXyz(r, g, b);
|
|
|
|
// Reference white D65
|
|
const Xn = 0.95047;
|
|
const Yn = 1.00000;
|
|
const Zn = 1.08883;
|
|
|
|
const yr = Y / Yn;
|
|
const L = yr > 0.008856 ? 116 * Math.pow(yr, 1/3) - 16 : 903.3 * yr;
|
|
|
|
const denom = X + 15 * Y + 3 * Z;
|
|
const denomN = Xn + 15 * Yn + 3 * Zn;
|
|
|
|
const up = denom === 0 ? 0 : (4 * X) / denom;
|
|
const vp = denom === 0 ? 0 : (9 * Y) / denom;
|
|
const upN = (4 * Xn) / denomN;
|
|
const vpN = (9 * Yn) / denomN;
|
|
|
|
const u = 13 * L * (up - upN);
|
|
const v = 13 * L * (vp - vpN);
|
|
|
|
return [L, u, v];
|
|
}
|
|
|
|
/**
|
|
* Convert LUV to RGB color space
|
|
* @param {number} l - L value
|
|
* @param {number} u - u value
|
|
* @param {number} v - v value
|
|
* @returns {number[]} RGB values [R, G, B] (0-255)
|
|
* @private
|
|
*/
|
|
_luvToRgb(l, u, v) {
|
|
// Reference white D65
|
|
const Xn = 0.95047;
|
|
const Yn = 1.00000;
|
|
const Zn = 1.08883;
|
|
|
|
const upN = (4 * Xn) / (Xn + 15 * Yn + 3 * Zn);
|
|
const vpN = (9 * Yn) / (Xn + 15 * Yn + 3 * Zn);
|
|
|
|
const Y = l > 8 ? Yn * Math.pow((l + 16) / 116, 3) : Yn * l / 903.3;
|
|
|
|
const up = u / (13 * l) + upN;
|
|
const vp = v / (13 * l) + vpN;
|
|
|
|
const X = Y * 9 * up / (4 * vp);
|
|
const Z = Y * (12 - 3 * up - 20 * vp) / (4 * vp);
|
|
|
|
return this._xyzToRgb(X, Y, Z);
|
|
}
|
|
|
|
/**
|
|
* Convert RGB to YUV color space
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} YUV values [Y, U, V]
|
|
* @private
|
|
*/
|
|
_rgbToYuv(r, g, b) {
|
|
const Y = 0.299 * r + 0.587 * g + 0.114 * b;
|
|
const U = -0.14713 * r - 0.28886 * g + 0.436 * b;
|
|
const V = 0.615 * r - 0.51499 * g - 0.10001 * b;
|
|
|
|
return [Y, U, V];
|
|
}
|
|
|
|
/**
|
|
* Convert YUV to RGB color space
|
|
* @param {number} y - Y (luminance) value
|
|
* @param {number} u - U (chrominance) value
|
|
* @param {number} v - V (chrominance) value
|
|
* @returns {number[]} RGB values [R, G, B] (0-255)
|
|
* @private
|
|
*/
|
|
_yuvToRgb(y, u, v) {
|
|
const r = y + 1.13983 * v;
|
|
const g = y - 0.39465 * u - 0.58060 * v;
|
|
const b = y + 2.03211 * u;
|
|
|
|
return [
|
|
Math.round(Math.max(0, Math.min(255, r))),
|
|
Math.round(Math.max(0, Math.min(255, g))),
|
|
Math.round(Math.max(0, Math.min(255, b)))
|
|
];
|
|
}
|
|
|
|
/**
|
|
* Convert RGB to Oklab color space (improved LAB)
|
|
* @param {number} r - Red value (0-255)
|
|
* @param {number} g - Green value (0-255)
|
|
* @param {number} b - Blue value (0-255)
|
|
* @returns {number[]} Oklab values [L, a, b]
|
|
* @private
|
|
*/
|
|
_rgbToOklab(r, g, b) {
|
|
// Normalize RGB
|
|
r /= 255;
|
|
g /= 255;
|
|
b /= 255;
|
|
|
|
// Apply gamma correction
|
|
r = r > 0.04045 ? Math.pow((r + 0.055) / 1.055, 2.4) : r / 12.92;
|
|
g = g > 0.04045 ? Math.pow((g + 0.055) / 1.055, 2.4) : g / 12.92;
|
|
b = b > 0.04045 ? Math.pow((b + 0.055) / 1.055, 2.4) : b / 12.92;
|
|
|
|
// Linear RGB to Oklab
|
|
const l = 0.4122214708 * r + 0.5363325363 * g + 0.0514459929 * b;
|
|
const m = 0.2119034982 * r + 0.6806995451 * g + 0.1073969566 * b;
|
|
const s = 0.0883024619 * r + 0.2817188376 * g + 0.6299787005 * b;
|
|
|
|
const l_ = Math.cbrt(l);
|
|
const m_ = Math.cbrt(m);
|
|
const s_ = Math.cbrt(s);
|
|
|
|
return [
|
|
0.2104542553 * l_ + 0.7936177850 * m_ - 0.0040720468 * s_,
|
|
1.9779984951 * l_ - 2.4285922050 * m_ + 0.4505937099 * s_,
|
|
0.0259040371 * l_ + 0.7827717662 * m_ - 0.8086757660 * s_
|
|
];
|
|
}
|
|
|
|
/**
|
|
* Convert Oklab to RGB color space
|
|
* @param {number} l - L value
|
|
* @param {number} a - a value
|
|
* @param {number} b - b value
|
|
* @returns {number[]} RGB values [R, G, B] (0-255)
|
|
* @private
|
|
*/
|
|
_oklabToRgb(l, a, b) {
|
|
const l_ = l + 0.3963377774 * a + 0.2158037573 * b;
|
|
const m_ = l - 0.1055613458 * a - 0.0638541728 * b;
|
|
const s_ = l - 0.0894841775 * a - 1.2914855480 * b;
|
|
|
|
const l3 = l_ * l_ * l_;
|
|
const m3 = m_ * m_ * m_;
|
|
const s3 = s_ * s_ * s_;
|
|
|
|
let r = 4.0767416621 * l3 - 3.3077115913 * m3 + 0.2309699292 * s3;
|
|
let g = -1.2684380046 * l3 + 2.6097574011 * m3 - 0.3413193965 * s3;
|
|
let b2 = -0.0041960863 * l3 - 0.7034186147 * m3 + 1.7076147010 * s3;
|
|
|
|
// Apply gamma correction
|
|
r = r > 0.0031308 ? 1.055 * Math.pow(r, 1.0 / 2.4) - 0.055 : 12.92 * r;
|
|
g = g > 0.0031308 ? 1.055 * Math.pow(g, 1.0 / 2.4) - 0.055 : 12.92 * g;
|
|
b2 = b2 > 0.0031308 ? 1.055 * Math.pow(b2, 1.0 / 2.4) - 0.055 : 12.92 * b2;
|
|
|
|
return [
|
|
Math.round(Math.max(0, Math.min(1, r)) * 255),
|
|
Math.round(Math.max(0, Math.min(1, g)) * 255),
|
|
Math.round(Math.max(0, Math.min(1, b2)) * 255)
|
|
];
|
|
}
|
|
|
|
/**
|
|
* Convert LAB to LCH color space (cylindrical representation)
|
|
* @param {number} l - L value
|
|
* @param {number} a - a value
|
|
* @param {number} b - b value
|
|
* @returns {number[]} LCH values [L, C, H]
|
|
* @private
|
|
*/
|
|
_labToLch(l, a, b) {
|
|
const c = Math.sqrt(a * a + b * b);
|
|
let h = Math.atan2(b, a) * 180 / Math.PI;
|
|
if (h < 0) h += 360;
|
|
|
|
return [l, c, h];
|
|
}
|
|
|
|
/**
|
|
* Convert LCH to LAB color space
|
|
* @param {number} l - L value
|
|
* @param {number} c - C (chroma) value
|
|
* @param {number} h - H (hue) value (0-360)
|
|
* @returns {number[]} LAB values [L, a, b]
|
|
* @private
|
|
*/
|
|
_lchToLab(l, c, h) {
|
|
const hRad = h * Math.PI / 180;
|
|
const a = c * Math.cos(hRad);
|
|
const b = c * Math.sin(hRad);
|
|
|
|
return [l, a, b];
|
|
}
|
|
|
|
/**
|
|
* Find closest color in palette using specified algorithm
|
|
* @param {number} r - Red value
|
|
* @param {number} g - Green value
|
|
* @param {number} b - Blue value
|
|
* @param {Array} palette - Array of RGB arrays [[r,g,b], ...]
|
|
* @param {string} algorithm - 'legacy' or 'lab'
|
|
* @param {Object} options - Additional options for color matching
|
|
* @returns {number[]} Closest RGB color [r, g, b]
|
|
*/
|
|
findClosestPaletteColor(r, g, b, palette, algorithm = 'lab', options = {}) {
|
|
if (!palette || palette.length === 0) {
|
|
return [0, 0, 0];
|
|
}
|
|
|
|
const { enableChromaPenalty = false, chromaPenaltyWeight = 0.15 } = options;
|
|
|
|
if (algorithm === 'legacy') {
|
|
let menorDist = Infinity;
|
|
let cor = [0, 0, 0];
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const rmean = (pr + r) / 2;
|
|
const rdiff = pr - r;
|
|
const gdiff = pg - g;
|
|
const bdiff = pb - b;
|
|
const dist = Math.sqrt(
|
|
(((512 + rmean) * rdiff * rdiff) >> 8) +
|
|
4 * gdiff * gdiff +
|
|
(((767 - rmean) * bdiff * bdiff) >> 8)
|
|
);
|
|
if (dist < menorDist) {
|
|
menorDist = dist;
|
|
cor = [pr, pg, pb];
|
|
}
|
|
}
|
|
return cor;
|
|
}
|
|
|
|
// HSV algorithm
|
|
if (algorithm === 'hsv') {
|
|
const [ht, st, vt] = this._rgbToHsv(r, g, b);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [hp, sp, vp] = this._rgbToHsv(pr, pg, pb);
|
|
const dh = Math.min(Math.abs(ht - hp), 360 - Math.abs(ht - hp)) / 360; // Normalize hue distance
|
|
const ds = st - sp;
|
|
const dv = vt - vp;
|
|
const dist = dh * dh + ds * ds + dv * dv;
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// HSL algorithm
|
|
if (algorithm === 'hsl') {
|
|
const [ht, st, lt] = this._rgbToHsl(r, g, b);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [hp, sp, lp] = this._rgbToHsl(pr, pg, pb);
|
|
const dh = Math.min(Math.abs(ht - hp), 360 - Math.abs(ht - hp)) / 360; // Normalize hue distance
|
|
const ds = st - sp;
|
|
const dl = lt - lp;
|
|
const dist = dh * dh + ds * ds + dl * dl;
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// XYZ algorithm
|
|
if (algorithm === 'xyz') {
|
|
const [xt, yt, zt] = this._rgbToXyz(r, g, b);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [xp, yp, zp] = this._rgbToXyz(pr, pg, pb);
|
|
const dx = xt - xp;
|
|
const dy = yt - yp;
|
|
const dz = zt - zp;
|
|
const dist = dx * dx + dy * dy + dz * dz;
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// LUV algorithm
|
|
if (algorithm === 'luv') {
|
|
const [lt, ut, vt] = this._rgbToLuv(r, g, b);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [lp, up, vp] = this._rgbToLuv(pr, pg, pb);
|
|
const dl = lt - lp;
|
|
const du = ut - up;
|
|
const dv = vt - vp;
|
|
const dist = dl * dl + du * du + dv * dv;
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// YUV algorithm
|
|
if (algorithm === 'yuv') {
|
|
const [yt, ut, vt] = this._rgbToYuv(r, g, b);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [yp, up, vp] = this._rgbToYuv(pr, pg, pb);
|
|
const dy = yt - yp;
|
|
const du = ut - up;
|
|
const dv = vt - vp;
|
|
const dist = dy * dy + du * du + dv * dv;
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// Oklab algorithm
|
|
if (algorithm === 'oklab') {
|
|
const [lt, at, bt] = this._rgbToOklab(r, g, b);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [lp, ap, bp] = this._rgbToOklab(pr, pg, pb);
|
|
const dl = lt - lp;
|
|
const da = at - ap;
|
|
const db = bt - bp;
|
|
const dist = dl * dl + da * da + db * db;
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// LCH algorithm
|
|
if (algorithm === 'lch') {
|
|
const [Lt, at, bt] = this._getLab(r, g, b);
|
|
const [lt, ct, ht] = this._labToLch(Lt, at, bt);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [Lp, ap, bp] = this._getLab(pr, pg, pb);
|
|
const [lp, cp, hp] = this._labToLch(Lp, ap, bp);
|
|
const dl = lt - lp;
|
|
const dc = ct - cp;
|
|
const dh = Math.min(Math.abs(ht - hp), 360 - Math.abs(ht - hp)); // Circular hue distance
|
|
const dist = dl * dl + dc * dc + (dh * dh) / 360; // Normalize hue
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
// LAB algorithm (default)
|
|
const [Lt, at, bt] = this._getLab(r, g, b);
|
|
const targetChroma = Math.sqrt(at * at + bt * bt);
|
|
let best = null;
|
|
let bestDist = Infinity;
|
|
|
|
for (let i = 0; i < palette.length; i++) {
|
|
const [pr, pg, pb] = palette[i];
|
|
const [Lp, ap, bp] = this._getLab(pr, pg, pb);
|
|
const dL = Lt - Lp;
|
|
const da = at - ap;
|
|
const db = bt - bp;
|
|
let dist = dL * dL + da * da + db * db;
|
|
|
|
if (enableChromaPenalty && targetChroma > 20) {
|
|
const candChroma = Math.sqrt(ap * ap + bp * bp);
|
|
if (candChroma < targetChroma) {
|
|
const chromaDiff = targetChroma - candChroma;
|
|
dist += chromaDiff * chromaDiff * chromaPenaltyWeight;
|
|
}
|
|
}
|
|
|
|
if (dist < bestDist) {
|
|
bestDist = dist;
|
|
best = palette[i];
|
|
if (bestDist === 0) break;
|
|
}
|
|
}
|
|
|
|
return best || [0, 0, 0];
|
|
}
|
|
|
|
/**
|
|
* Check if a pixel is considered white based on threshold
|
|
* @param {number} r - Red value
|
|
* @param {number} g - Green value
|
|
* @param {number} b - Blue value
|
|
* @param {number} threshold - White threshold (default: 230)
|
|
* @returns {boolean} True if pixel is white
|
|
*/
|
|
isWhitePixel(r, g, b, threshold = this.WHITE_THRESHOLD) {
|
|
return r >= threshold && g >= threshold && b >= threshold;
|
|
}
|
|
|
|
/**
|
|
* Resolve target RGB to closest available color with caching
|
|
* @param {number[]} targetRgb - Target RGB array [r, g, b]
|
|
* @param {Array} availableColors - Available colors with id and rgb properties
|
|
* @param {Object} options - Matching options
|
|
* @returns {Object} {id: number|null, rgb: number[]}
|
|
*/
|
|
resolveColor(targetRgb, availableColors, options = {}) {
|
|
const {
|
|
exactMatch = false,
|
|
algorithm = 'lab',
|
|
enableChromaPenalty = false,
|
|
chromaPenaltyWeight = 0.15,
|
|
whiteThreshold = this.WHITE_THRESHOLD
|
|
} = options;
|
|
|
|
if (!availableColors || availableColors.length === 0) {
|
|
return { id: null, rgb: targetRgb };
|
|
}
|
|
|
|
const cacheKey = `${targetRgb[0]},${targetRgb[1]},${targetRgb[2]}|${algorithm}|${enableChromaPenalty ? 'c' : 'nc'}|${chromaPenaltyWeight}|${exactMatch ? 'exact' : 'closest'}`;
|
|
|
|
if (this._colorCache.has(cacheKey)) {
|
|
return this._colorCache.get(cacheKey);
|
|
}
|
|
|
|
// Check for exact match
|
|
if (exactMatch) {
|
|
const match = availableColors.find(
|
|
(c) => c.rgb[0] === targetRgb[0] && c.rgb[1] === targetRgb[1] && c.rgb[2] === targetRgb[2]
|
|
);
|
|
const result = match ? { id: match.id, rgb: [...match.rgb] } : { id: null, rgb: targetRgb };
|
|
this._colorCache.set(cacheKey, result);
|
|
return result;
|
|
}
|
|
|
|
// Check for white pixel matching
|
|
if (
|
|
targetRgb[0] >= whiteThreshold &&
|
|
targetRgb[1] >= whiteThreshold &&
|
|
targetRgb[2] >= whiteThreshold
|
|
) {
|
|
const whiteEntry = availableColors.find(
|
|
(c) => c.rgb[0] >= whiteThreshold && c.rgb[1] >= whiteThreshold && c.rgb[2] >= whiteThreshold
|
|
);
|
|
if (whiteEntry) {
|
|
const result = { id: whiteEntry.id, rgb: [...whiteEntry.rgb] };
|
|
this._colorCache.set(cacheKey, result);
|
|
return result;
|
|
}
|
|
}
|
|
|
|
// Find nearest color
|
|
let bestId = availableColors[0].id;
|
|
let bestRgb = [...availableColors[0].rgb];
|
|
let bestScore = Infinity;
|
|
|
|
if (algorithm === 'legacy') {
|
|
for (let i = 0; i < availableColors.length; i++) {
|
|
const c = availableColors[i];
|
|
const [r, g, b] = c.rgb;
|
|
const rmean = (r + targetRgb[0]) / 2;
|
|
const rdiff = r - targetRgb[0];
|
|
const gdiff = g - targetRgb[1];
|
|
const bdiff = b - targetRgb[2];
|
|
const dist = Math.sqrt(
|
|
(((512 + rmean) * rdiff * rdiff) >> 8) +
|
|
4 * gdiff * gdiff +
|
|
(((767 - rmean) * bdiff * bdiff) >> 8)
|
|
);
|
|
if (dist < bestScore) {
|
|
bestScore = dist;
|
|
bestId = c.id;
|
|
bestRgb = [...c.rgb];
|
|
if (dist === 0) break;
|
|
}
|
|
}
|
|
} else {
|
|
const [Lt, at, bt] = this._getLab(targetRgb[0], targetRgb[1], targetRgb[2]);
|
|
const targetChroma = Math.sqrt(at * at + bt * bt);
|
|
const penaltyWeight = enableChromaPenalty ? chromaPenaltyWeight : 0;
|
|
|
|
for (let i = 0; i < availableColors.length; i++) {
|
|
const c = availableColors[i];
|
|
const [r, g, b] = c.rgb;
|
|
const [L2, a2, b2] = this._getLab(r, g, b);
|
|
const dL = Lt - L2;
|
|
const da = at - a2;
|
|
const db = bt - b2;
|
|
let dist = dL * dL + da * da + db * db;
|
|
|
|
if (penaltyWeight > 0 && targetChroma > 20) {
|
|
const candChroma = Math.sqrt(a2 * a2 + b2 * b2);
|
|
if (candChroma < targetChroma) {
|
|
const cd = targetChroma - candChroma;
|
|
dist += cd * cd * penaltyWeight;
|
|
}
|
|
}
|
|
|
|
if (dist < bestScore) {
|
|
bestScore = dist;
|
|
bestId = c.id;
|
|
bestRgb = [...c.rgb];
|
|
if (dist === 0) break;
|
|
}
|
|
}
|
|
}
|
|
|
|
const result = { id: bestId, rgb: bestRgb };
|
|
this._colorCache.set(cacheKey, result);
|
|
|
|
// Limit cache size
|
|
if (this._colorCache.size > this.COLOR_CACHE_LIMIT) {
|
|
const firstKey = this._colorCache.keys().next().value;
|
|
this._colorCache.delete(firstKey);
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
// =============================================
|
|
// DITHERING METHODS (Floyd-Steinberg)
|
|
// =============================================
|
|
|
|
/**
|
|
* Ensure dithering buffers are properly sized
|
|
* @param {number} n - Number of pixels
|
|
* @returns {Object} {work: Float32Array, eligible: Uint8Array}
|
|
* @private
|
|
*/
|
|
_ensureDitherBuffers(n) {
|
|
if (!this._ditherWorkBuf || this._ditherWorkBuf.length !== n * 3) {
|
|
this._ditherWorkBuf = new Float32Array(n * 3);
|
|
}
|
|
if (!this._ditherEligibleBuf || this._ditherEligibleBuf.length !== n) {
|
|
this._ditherEligibleBuf = new Uint8Array(n);
|
|
}
|
|
return { work: this._ditherWorkBuf, eligible: this._ditherEligibleBuf };
|
|
}
|
|
|
|
/**
|
|
* Apply Floyd-Steinberg dithering to image data
|
|
* @param {Uint8ClampedArray} imageData - RGBA image data
|
|
* @param {number} width - Image width
|
|
* @param {number} height - Image height
|
|
* @param {Array} palette - Color palette for dithering
|
|
* @param {Object} options - Dithering options
|
|
* @returns {Object} {data: Uint8ClampedArray, totalValidPixels: number}
|
|
*/
|
|
applyFloydSteinbergDithering(imageData, width, height, palette, options = {}) {
|
|
const {
|
|
paintTransparentPixels = false,
|
|
paintWhitePixels = true,
|
|
transparencyThreshold = this.TRANSPARENCY_THRESHOLD,
|
|
whiteThreshold = this.WHITE_THRESHOLD,
|
|
algorithm = 'lab',
|
|
enableChromaPenalty = false,
|
|
chromaPenaltyWeight = 0.15,
|
|
mask = null
|
|
} = options;
|
|
|
|
const data = new Uint8ClampedArray(imageData);
|
|
const n = width * height;
|
|
const { work, eligible } = this._ensureDitherBuffers(n);
|
|
let totalValidPixels = 0;
|
|
|
|
// Initialize working buffers
|
|
for (let y = 0; y < height; y++) {
|
|
for (let x = 0; x < width; x++) {
|
|
const idx = y * width + x;
|
|
const i4 = idx * 4;
|
|
const r = data[i4];
|
|
const g = data[i4 + 1];
|
|
const b = data[i4 + 2];
|
|
const a = data[i4 + 3];
|
|
const masked = mask && mask[idx];
|
|
|
|
const isEligible =
|
|
!masked &&
|
|
(paintTransparentPixels || a >= transparencyThreshold) &&
|
|
(paintWhitePixels || !this.isWhitePixel(r, g, b, whiteThreshold));
|
|
|
|
eligible[idx] = isEligible ? 1 : 0;
|
|
work[idx * 3] = r;
|
|
work[idx * 3 + 1] = g;
|
|
work[idx * 3 + 2] = b;
|
|
|
|
if (!isEligible) {
|
|
data[i4 + 3] = 0; // Make ineligible pixels transparent
|
|
}
|
|
}
|
|
}
|
|
|
|
// Error diffusion function
|
|
const diffuse = (nx, ny, er, eg, eb, factor) => {
|
|
if (nx < 0 || nx >= width || ny < 0 || ny >= height) return;
|
|
const nidx = ny * width + nx;
|
|
if (!eligible[nidx]) return;
|
|
const base = nidx * 3;
|
|
work[base] = Math.min(255, Math.max(0, work[base] + er * factor));
|
|
work[base + 1] = Math.min(255, Math.max(0, work[base + 1] + eg * factor));
|
|
work[base + 2] = Math.min(255, Math.max(0, work[base + 2] + eb * factor));
|
|
};
|
|
|
|
// Apply Floyd-Steinberg dithering
|
|
for (let y = 0; y < height; y++) {
|
|
for (let x = 0; x < width; x++) {
|
|
const idx = y * width + x;
|
|
if (!eligible[idx]) continue;
|
|
|
|
const base = idx * 3;
|
|
const r0 = work[base];
|
|
const g0 = work[base + 1];
|
|
const b0 = work[base + 2];
|
|
|
|
const [nr, ng, nb] = this.findClosestPaletteColor(
|
|
r0, g0, b0, palette, algorithm, { enableChromaPenalty, chromaPenaltyWeight }
|
|
);
|
|
|
|
const i4 = idx * 4;
|
|
data[i4] = nr;
|
|
data[i4 + 1] = ng;
|
|
data[i4 + 2] = nb;
|
|
data[i4 + 3] = 255;
|
|
totalValidPixels++;
|
|
|
|
// Calculate and diffuse error
|
|
const er = r0 - nr;
|
|
const eg = g0 - ng;
|
|
const eb = b0 - nb;
|
|
|
|
diffuse(x + 1, y, er, eg, eb, 7 / 16);
|
|
diffuse(x - 1, y + 1, er, eg, eb, 3 / 16);
|
|
diffuse(x, y + 1, er, eg, eb, 5 / 16);
|
|
diffuse(x + 1, y + 1, er, eg, eb, 1 / 16);
|
|
}
|
|
}
|
|
|
|
return { data, totalValidPixels };
|
|
}
|
|
|
|
/**
|
|
* Apply simple color quantization without dithering
|
|
* @param {Uint8ClampedArray} imageData - RGBA image data
|
|
* @param {number} width - Image width
|
|
* @param {number} height - Image height
|
|
* @param {Array} palette - Color palette for quantization
|
|
* @param {Object} options - Quantization options
|
|
* @returns {Object} {data: Uint8ClampedArray, totalValidPixels: number}
|
|
*/
|
|
applySimpleQuantization(imageData, width, height, palette, options = {}) {
|
|
const {
|
|
paintTransparentPixels = false,
|
|
paintWhitePixels = true,
|
|
transparencyThreshold = this.TRANSPARENCY_THRESHOLD,
|
|
whiteThreshold = this.WHITE_THRESHOLD,
|
|
algorithm = 'lab',
|
|
enableChromaPenalty = false,
|
|
chromaPenaltyWeight = 0.15
|
|
} = options;
|
|
|
|
const data = new Uint8ClampedArray(imageData);
|
|
let totalValidPixels = 0;
|
|
|
|
for (let i = 0; i < data.length; i += 4) {
|
|
const r = data[i];
|
|
const g = data[i + 1];
|
|
const b = data[i + 2];
|
|
const a = data[i + 3];
|
|
|
|
const isEligible =
|
|
(paintTransparentPixels || a >= transparencyThreshold) &&
|
|
(paintWhitePixels || !this.isWhitePixel(r, g, b, whiteThreshold));
|
|
|
|
if (!isEligible) {
|
|
data[i + 3] = 0; // Make ineligible pixels transparent
|
|
continue;
|
|
}
|
|
|
|
const [nr, ng, nb] = this.findClosestPaletteColor(
|
|
r, g, b, palette, algorithm, { enableChromaPenalty, chromaPenaltyWeight }
|
|
);
|
|
|
|
data[i] = nr;
|
|
data[i + 1] = ng;
|
|
data[i + 2] = nb;
|
|
data[i + 3] = 255;
|
|
totalValidPixels++;
|
|
}
|
|
|
|
return { data, totalValidPixels };
|
|
}
|
|
|
|
// =============================================
|
|
// UTILITY METHODS
|
|
// =============================================
|
|
|
|
/**
|
|
* Extract available colors from DOM elements
|
|
* @returns {Array|null} Array of color objects with id and rgb properties
|
|
*/
|
|
extractAvailableColors() {
|
|
const colorElements = document.querySelectorAll('.color-option, [data-color-id]');
|
|
if (colorElements.length === 0) return null;
|
|
|
|
const colors = [];
|
|
colorElements.forEach((element) => {
|
|
const colorId = element.dataset.colorId || element.getAttribute('data-color-id');
|
|
const computedStyle = window.getComputedStyle(element);
|
|
const backgroundColor = computedStyle.backgroundColor;
|
|
|
|
if (backgroundColor && colorId) {
|
|
const rgbMatch = backgroundColor.match(/rgb\((\d+),\s*(\d+),\s*(\d+)\)/);
|
|
if (rgbMatch) {
|
|
colors.push({
|
|
id: parseInt(colorId),
|
|
rgb: [parseInt(rgbMatch[1]), parseInt(rgbMatch[2]), parseInt(rgbMatch[3])]
|
|
});
|
|
}
|
|
}
|
|
});
|
|
|
|
return colors.length > 0 ? colors : null;
|
|
}
|
|
|
|
/**
|
|
* Create file uploader for images
|
|
* @returns {Promise<string>} Promise resolving to image data URL
|
|
*/
|
|
createImageUploader() {
|
|
return new Promise((resolve) => {
|
|
const input = document.createElement('input');
|
|
input.type = 'file';
|
|
input.accept = 'image/png,image/jpeg';
|
|
input.onchange = () => {
|
|
if (input.files && input.files[0]) {
|
|
const fr = new FileReader();
|
|
fr.onload = () => resolve(fr.result);
|
|
fr.readAsDataURL(input.files[0]);
|
|
} else {
|
|
resolve(null);
|
|
}
|
|
};
|
|
input.click();
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Extract available colors from DOM palette
|
|
* @param {Object} colorMap - The color map object (optional, will use window.CONFIG if not provided)
|
|
* @returns {Array|null} Array of available colors or null if none found
|
|
*/
|
|
extractAvailableColors(colorMap = null) {
|
|
const colorElements = document.querySelectorAll('.tooltip button[id^="color-"]');
|
|
if (colorElements.length === 0) {
|
|
console.log('❌ No color elements found on page');
|
|
return null;
|
|
}
|
|
|
|
// Use provided colorMap or fallback to window.CONFIG
|
|
const effectiveColorMap = colorMap || (window.CONFIG?.COLOR_MAP);
|
|
|
|
// Separate available and unavailable colors
|
|
const availableColors = [];
|
|
const unavailableColors = [];
|
|
|
|
Array.from(colorElements).forEach((el) => {
|
|
const id = Number.parseInt(el.id.replace('color-', ''));
|
|
if (id === 0) return; // Skip transparent color
|
|
|
|
const rgbStr = el.style.backgroundColor.match(/\d+/g);
|
|
if (!rgbStr || rgbStr.length < 3) {
|
|
console.warn(`Skipping color element ${el.id} — cannot parse RGB`);
|
|
return;
|
|
}
|
|
const rgb = rgbStr.map(Number);
|
|
|
|
// Find color name from COLOR_MAP
|
|
let name = `Unknown Color ${id}`;
|
|
if (effectiveColorMap) {
|
|
const colorInfo = Object.values(effectiveColorMap).find((color) => color.id === id);
|
|
name = colorInfo ? colorInfo.name : name;
|
|
}
|
|
|
|
const colorData = { id, name, rgb };
|
|
|
|
// Check if color is available (no SVG overlay means available)
|
|
if (!el.querySelector('svg')) {
|
|
availableColors.push(colorData);
|
|
} else {
|
|
unavailableColors.push(colorData);
|
|
}
|
|
});
|
|
|
|
// Console log detailed color information
|
|
console.log('=== CAPTURED COLORS STATUS ===');
|
|
console.log(`Total available colors: ${availableColors.length}`);
|
|
console.log(`Total unavailable colors: ${unavailableColors.length}`);
|
|
console.log(`Total colors scanned: ${availableColors.length + unavailableColors.length}`);
|
|
|
|
if (availableColors.length > 0) {
|
|
console.log('\n--- AVAILABLE COLORS ---');
|
|
availableColors.forEach((color, index) => {
|
|
console.log(
|
|
`${index + 1
|
|
}. ID: ${color.id}, Name: "${color.name}", RGB: (${color.rgb[0]}, ${color.rgb[1]}, ${color.rgb[2]})`
|
|
);
|
|
});
|
|
}
|
|
|
|
if (unavailableColors.length > 0) {
|
|
console.log('\n--- UNAVAILABLE COLORS ---');
|
|
unavailableColors.forEach((color, index) => {
|
|
console.log(
|
|
`${index + 1
|
|
}. ID: ${color.id}, Name: "${color.name}", RGB: (${color.rgb[0]}, ${color.rgb[1]}, ${color.rgb[2]}) [LOCKED]`
|
|
);
|
|
});
|
|
}
|
|
|
|
console.log('=== END COLOR STATUS ===');
|
|
|
|
return availableColors;
|
|
}
|
|
|
|
/**
|
|
* Clear all caches to free memory
|
|
*/
|
|
clearCaches() {
|
|
this._colorCache.clear();
|
|
this._labCache.clear();
|
|
this._hsvCache?.clear();
|
|
this._hslCache?.clear();
|
|
this._xyzCache?.clear();
|
|
this._luvCache?.clear();
|
|
this._yuvCache?.clear();
|
|
this._oklabCache?.clear();
|
|
this._lchCache?.clear();
|
|
this._ditherWorkBuf = null;
|
|
this._ditherEligibleBuf = null;
|
|
}
|
|
|
|
/**
|
|
* Clean up resources
|
|
*/
|
|
cleanup() {
|
|
this.clearCaches();
|
|
if (this.canvas) {
|
|
this.canvas.width = 0;
|
|
this.canvas.height = 0;
|
|
}
|
|
this.img = null;
|
|
this.canvas = null;
|
|
this.ctx = null;
|
|
}
|
|
}
|
|
|
|
// Create global instance
|
|
window.WPlaceImageProcessor = ImageProcessor;
|
|
|
|
// Create global instance for Auto-Image.js compatibility
|
|
window.globalImageProcessor = new ImageProcessor();
|
|
|
|
// Legacy compatibility - expose key methods globally for backward compatibility
|
|
window.ImageProcessor = ImageProcessor;
|
|
|
|
console.log('✅ WPlace Image Processor loaded and ready');
|