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9fa1f67 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 | class Color {
constructor(red, green, blue, hex = red << 16 | green << 8 | blue) {
this._count = 1
this.__saturation = -1
this.__hue = -1
this.__lightness = -1
this.__intensity = -1
this._red = red
this._green = green
this._blue = blue
this._hex = hex
}
static distance(colorA, colorB) {
return (Math.abs(colorB._red - colorA._red) + Math.abs(colorB._green - colorA._green) + Math.abs(colorB._blue - colorA._blue)) / (3 * 255)
}
updateHSL() {
const red = this._red / 255
const green = this._green / 255
const blue = this._blue / 255
const max = Math.max(red, green, blue)
const min = Math.min(red, green, blue)
this.__lightness = (max + min) / 2
if (max === min) {
this.__hue = 0
this.__saturation = 0
this.__intensity = 0
} else {
const distance2 = max - min
this.__saturation = this.__lightness > 0.5 ? distance2 / (2 - max - min) : distance2 / (max + min)
this.__intensity = this.__saturation * ((0.5 - Math.abs(0.5 - this.__lightness)) * 2)
switch (max) {
case red:
this.__hue = ((green - blue) / distance2 + (green < blue ? 6 : 0)) / 6
break
case green:
this.__hue = ((blue - red) / distance2 + 2) / 6
break
case blue:
this.__hue = ((red - green) / distance2 + 4) / 6
break
}
}
}
get _hue() {
if (this.__hue === -1) {
this.updateHSL()
}
return this.__hue
}
get _saturation() {
if (this.__saturation === -1) {
this.updateHSL()
}
return this.__saturation
}
get _lightness() {
if (this.__lightness === -1) {
this.updateHSL()
}
return this.__lightness
}
get _intensity() {
if (this.__intensity === -1) {
this.updateHSL()
}
return this.__intensity
}
}
const distance = (a, b) => Math.abs(a - b)
const hueDistance = (a, b) => Math.min(distance(a, b), distance((a + 0.5) % 1, (b + 0.5) % 1))
class AverageGroup {
constructor() {
this.colors = []
this._average = null
}
addColor(color) {
this.colors.push(color)
this._average = null
}
isSamePalette(color, hue, saturation, lightness) {
for (let i = 0; i < this.colors.length; i++) {
const currentColor = this.colors[i]
const isSame = hueDistance(currentColor._hue, color._hue) < hue && distance(currentColor._saturation, color._saturation) < saturation && distance(currentColor._lightness, color._lightness) < lightness
if (!isSame) {
return false
}
}
return true
}
get average() {
if (!this._average) {
const { r, g, b } = this.colors.reduce((total2, color) => {
total2.r += color._red
total2.g += color._green
total2.b += color._blue
return total2
}, { r: 0, g: 0, b: 0 })
const total = this.colors.reduce((_count, color) => _count + color._count, 0)
this._average = new Color(
Math.round(r / this.colors.length),
Math.round(g / this.colors.length),
Math.round(b / this.colors.length)
)
this._average._count = total
}
return this._average
}
}
class AverageManager {
constructor(hue, saturation, lightness) {
this._groups = []
this._hue = hue
this._saturation = saturation
this._lightness = lightness
}
addColor(color) {
const samePalette = this._groups.find((averageGroup) => averageGroup.isSamePalette(color, this._hue, this._saturation, this._lightness))
if (samePalette) {
samePalette.addColor(color)
} else {
const averageGroup = new AverageGroup()
averageGroup.addColor(color)
this._groups.push(averageGroup)
}
}
getGroups() {
return this._groups.map((averageGroup) => averageGroup.average)
}
}
var sortColors = (list, _pixels, _hueDistance, _saturationDistance, _lightnessDistance) => {
const averageManager = new AverageManager(_hueDistance, _saturationDistance, _lightnessDistance)
list.forEach((color) => averageManager.addColor(color))
const sorted = averageManager.getGroups()
sorted.sort((a, b) => {
const bPower = (b._intensity + 0.1) * (0.9 - b._count / _pixels)
const aPower = (a._intensity + 0.1) * (0.9 - a._count / _pixels)
return bPower - aPower
})
return sorted
}
const createFinalColor = (color, pixels) => {
return {
hex: `#${'0'.repeat(6 - color._hex.toString(16).length)}${color._hex.toString(16)}`,
red: color._red,
green: color._green,
blue: color._blue,
area: color._count / pixels,
hue: color._hue,
saturation: color._saturation,
lightness: color._lightness,
intensity: color._intensity
}
}
const testUint = (label, val, min = 0, max = Number.MAX_SAFE_INTEGER) => {
if (!Number.isInteger(val) || val < min || val > max) {
throw new Error(`${label} is invalid (${val})`)
}
return val
}
const testNumber = (label, val, min = 0, max = Number.MAX_VALUE) => {
if (Number(val) !== val || val < min || val > max) {
throw new Error(`${label} is invalid (${val})`)
}
return val
}
const testFunction = (label, val) => {
if (!val || {}.toString.call(val) !== '[object Function]') {
throw new Error(`${label} is invalid (${val})`)
}
return val
}
var cleanInputs = (options) => {
var _a, _b, _c, _d, _e, _f, _g, _h
return [
testUint('pixels', (_a = options.pixels) != null ? _a : 1e4, 1),
testNumber('distance', (_b = options.distance) != null ? _b : 0.12, 0, 1),
testUint('splitPower', (_c = options.splitPower) != null ? _c : 10, 2, 15),
testFunction('colorValidator', (_d = options.colorValidator) != null ? _d : (_red, _green, _blue, _alpha) => (_alpha != null ? _alpha : 255) > 250),
testNumber('hueDistance', (_e = options.hueDistance) != null ? _e : 0.08333333333333333, 0, 1),
testNumber('saturationDistance', (_f = options.saturationDistance) != null ? _f : 0.2, 0, 1),
testNumber('lightnessDistance', (_g = options.lightnessDistance) != null ? _g : 0.2, 0, 1),
(_h = options.crossOrigin) != null ? _h : null
]
}
class BudGroup {
constructor() {
this._count = 1
this._children = {}
}
addColor(_hex, _red, _green, _blue) {
if (this._children[_hex]) {
this._children[_hex]._count++
} else {
this._children[_hex] = new Color(_red, _green, _blue, _hex)
}
return this._children[_hex]
}
getList() {
return Object.keys(this._children).map((key) => this._children[key])
}
getMaxWeight(_count) {
if (this._maxWeight === void 0) {
const list = this.getList().map((child) => child._count / _count)
list.sort((a, b) => b - a)
this._maxWeight = list[0] || 0
}
return this._maxWeight
}
getMaxWeightColor(_count) {
const list = this.getList()
list.sort((a, b) => {
return b._count / _count - a._count / _count
})
return list[0]
}
getMaxCountColor() {
const list = this.getList()
const biggest = list.reduce((a, b) => a._count >= b._count ? a : b)
return biggest
}
}
class RootGroup {
constructor() {
this._count = 1
this._children = {}
}
addRootGroup(key) {
if (this._children[key]) {
this._children[key]._count++
} else {
this._children[key] = new RootGroup()
}
return this._children[key]
}
getList() {
return Object.keys(this._children).map((key) => this._children[key])
}
addBudGroup(key) {
if (this._children[key]) {
this._children[key]._count++
} else {
this._children[key] = new BudGroup()
}
return this._children[key]
}
getMaxWeight(_count) {
if (this._maxWeight === void 0) {
const list = this.getList().map((child) => child._count / _count)
list.sort((a, b) => b - a)
this._maxWeight = list[0] || 0
}
return this._maxWeight
}
getMaxWeightColor(_count) {
const list = this.getList()
list.sort((a, b) => {
return b._count / _count - a._count / _count
})
return list[0].getMaxWeightColor(_count)
}
getMaxCountColor() {
const list = this.getList()
const biggest = list.reduce((a, b) => a.getMaxCountColor()._count >= b.getMaxCountColor()._count ? a : b)
return biggest.getMaxCountColor()
}
getColors(_distance, _count) {
const list = this.getList().map((child) => {
const { _count: _count2 } = child
const color = child.getMaxCountColor()
color._count = _count2
return color
})
list.sort((a, b) => b._count / _count - a._count / _count)
const newList = []
list.forEach((color) => {
const near = newList.find((col) => Color.distance(col, color) < _distance)
if (!near) {
newList.push(color)
} else {
near._count += color._count
}
})
return newList
}
}
var extractor = ({ data, width, height }, _pixels, _distance, _splitPower, _colorValidator) => {
const rootGroup = new RootGroup()
const reducer = width && height ? Math.floor(width * height / _pixels) || 1 : 1
for (let i = 0; i < data.length; i += 4 * reducer) {
const r = data[i]
const g = data[i + 1]
const b = data[i + 2]
const a = data[i + 3]
if (_colorValidator(r, g, b, a)) {
const real = r << 16 | g << 8 | b
const medium = (r >> 4 & 15) << 2 | (g >> 4 & 15) << 1 | b >> 4 & 15
const small = Math.round(r * (_splitPower - 1) / 255) * (_splitPower * _splitPower) + Math.round(g * (_splitPower - 1) / 255) * _splitPower + Math.round(b * (_splitPower - 1) / 255)
const smallGroup = rootGroup.addRootGroup(small)
const mediumGroup = smallGroup.addBudGroup(medium)
mediumGroup.addColor(real, r, g, b)
}
}
return rootGroup.getColors(_distance, _pixels)
}
const sortFinalColors = (_colors, _pixels, _hueDistance, _saturationDistance, _lightnessDistance) => {
const list = sortColors(_colors, _pixels, _hueDistance, _saturationDistance, _lightnessDistance)
return list.map((color) => createFinalColor(color, _pixels))
}
const extractColorsFromImageData = (imageData, options = {}) => {
const [_pixels, _distance, _splitPower, _colorValidator, _hueDistance, _saturationDistance, _lightnessDistance] = cleanInputs(options)
const colors = extractor(imageData, _pixels, _distance, _splitPower, _colorValidator)
const px = imageData.width && imageData.height ? Math.min(imageData.width * imageData.height, _pixels) : _pixels
return sortFinalColors(colors, px, _hueDistance, _saturationDistance, _lightnessDistance)
}
const extractColors = (imageData, options) => {
if (imageData.data) {
return new Promise((resolve) => {
resolve(extractColorsFromImageData(imageData, options))
})
}
throw new Error('Send imageData to extractColors')
}
const extractColorsFromImage = () => {
throw new Error('Can not use extractColorsFromImage for Node.js')
}
const extractColorsFromSrc = () => {
throw new Error('Can not use extractColorsFromSrc for Node.js')
}
export { extractColors as default, extractColors, extractColorsFromImage, extractColorsFromImageData, extractColorsFromSrc } |