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jellyfin-web/dashboard-ui/bower_components/vibrant/dist/vibrant.js

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add vibrant
2016-10-12 13:57:06 -07:00
(function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){
/*
* quantize.js Copyright 2008 Nick Rabinowitz
* Ported to node.js by Olivier Lesnicki
* Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
*/
// fill out a couple protovis dependencies
/*
* Block below copied from Protovis: http://mbostock.github.com/protovis/
* Copyright 2010 Stanford Visualization Group
* Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php
*/
if (!pv) {
var pv = {
map: function(array, f) {
var o = {};
return f ? array.map(function(d, i) {
o.index = i;
return f.call(o, d);
}) : array.slice();
},
naturalOrder: function(a, b) {
return (a < b) ? -1 : ((a > b) ? 1 : 0);
},
sum: function(array, f) {
var o = {};
return array.reduce(f ? function(p, d, i) {
o.index = i;
return p + f.call(o, d);
} : function(p, d) {
return p + d;
}, 0);
},
max: function(array, f) {
return Math.max.apply(null, f ? pv.map(array, f) : array);
}
}
}
/**
* Basic Javascript port of the MMCQ (modified median cut quantization)
* algorithm from the Leptonica library (http://www.leptonica.com/).
* Returns a color map you can use to map original pixels to the reduced
* palette. Still a work in progress.
*
* @author Nick Rabinowitz
* @example
// array of pixels as [R,G,B] arrays
var myPixels = [[190,197,190], [202,204,200], [207,214,210], [211,214,211], [205,207,207]
// etc
];
var maxColors = 4;
var cmap = MMCQ.quantize(myPixels, maxColors);
var newPalette = cmap.palette();
var newPixels = myPixels.map(function(p) {
return cmap.map(p);
});
*/
var MMCQ = (function() {
// private constants
var sigbits = 5,
rshift = 8 - sigbits,
maxIterations = 1000,
fractByPopulations = 0.75;
// get reduced-space color index for a pixel
function getColorIndex(r, g, b) {
return (r << (2 * sigbits)) + (g << sigbits) + b;
}
// Simple priority queue
function PQueue(comparator) {
var contents = [],
sorted = false;
function sort() {
contents.sort(comparator);
sorted = true;
}
return {
push: function(o) {
contents.push(o);
sorted = false;
},
peek: function(index) {
if (!sorted) sort();
if (index === undefined) index = contents.length - 1;
return contents[index];
},
pop: function() {
if (!sorted) sort();
return contents.pop();
},
size: function() {
return contents.length;
},
map: function(f) {
return contents.map(f);
},
debug: function() {
if (!sorted) sort();
return contents;
}
};
}
// 3d color space box
function VBox(r1, r2, g1, g2, b1, b2, histo) {
var vbox = this;
vbox.r1 = r1;
vbox.r2 = r2;
vbox.g1 = g1;
vbox.g2 = g2;
vbox.b1 = b1;
vbox.b2 = b2;
vbox.histo = histo;
}
VBox.prototype = {
volume: function(force) {
var vbox = this;
if (!vbox._volume || force) {
vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1));
}
return vbox._volume;
},
count: function(force) {
var vbox = this,
histo = vbox.histo;
if (!vbox._count_set || force) {
var npix = 0,
i, j, k, index;
for (i = vbox.r1; i <= vbox.r2; i++) {
for (j = vbox.g1; j <= vbox.g2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
index = getColorIndex(i, j, k);
npix += (histo[index] || 0);
}
}
}
vbox._count = npix;
vbox._count_set = true;
}
return vbox._count;
},
copy: function() {
var vbox = this;
return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo);
},
avg: function(force) {
var vbox = this,
histo = vbox.histo;
if (!vbox._avg || force) {
var ntot = 0,
mult = 1 << (8 - sigbits),
rsum = 0,
gsum = 0,
bsum = 0,
hval,
i, j, k, histoindex;
for (i = vbox.r1; i <= vbox.r2; i++) {
for (j = vbox.g1; j <= vbox.g2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
histoindex = getColorIndex(i, j, k);
hval = histo[histoindex] || 0;
ntot += hval;
rsum += (hval * (i + 0.5) * mult);
gsum += (hval * (j + 0.5) * mult);
bsum += (hval * (k + 0.5) * mult);
}
}
}
if (ntot) {
vbox._avg = [~~(rsum / ntot), ~~ (gsum / ntot), ~~ (bsum / ntot)];
} else {
//console.log('empty box');
vbox._avg = [~~(mult * (vbox.r1 + vbox.r2 + 1) / 2), ~~ (mult * (vbox.g1 + vbox.g2 + 1) / 2), ~~ (mult * (vbox.b1 + vbox.b2 + 1) / 2)];
}
}
return vbox._avg;
},
contains: function(pixel) {
var vbox = this,
rval = pixel[0] >> rshift;
gval = pixel[1] >> rshift;
bval = pixel[2] >> rshift;
return (rval >= vbox.r1 && rval <= vbox.r2 &&
gval >= vbox.g1 && gval <= vbox.g2 &&
bval >= vbox.b1 && bval <= vbox.b2);
}
};
// Color map
function CMap() {
this.vboxes = new PQueue(function(a, b) {
return pv.naturalOrder(
a.vbox.count() * a.vbox.volume(),
b.vbox.count() * b.vbox.volume()
)
});;
}
CMap.prototype = {
push: function(vbox) {
this.vboxes.push({
vbox: vbox,
color: vbox.avg()
});
},
palette: function() {
return this.vboxes.map(function(vb) {
return vb.color
});
},
size: function() {
return this.vboxes.size();
},
map: function(color) {
var vboxes = this.vboxes;
for (var i = 0; i < vboxes.size(); i++) {
if (vboxes.peek(i).vbox.contains(color)) {
return vboxes.peek(i).color;
}
}
return this.nearest(color);
},
nearest: function(color) {
var vboxes = this.vboxes,
d1, d2, pColor;
for (var i = 0; i < vboxes.size(); i++) {
d2 = Math.sqrt(
Math.pow(color[0] - vboxes.peek(i).color[0], 2) +
Math.pow(color[1] - vboxes.peek(i).color[1], 2) +
Math.pow(color[2] - vboxes.peek(i).color[2], 2)
);
if (d2 < d1 || d1 === undefined) {
d1 = d2;
pColor = vboxes.peek(i).color;
}
}
return pColor;
},
forcebw: function() {
// XXX: won't work yet
var vboxes = this.vboxes;
vboxes.sort(function(a, b) {
return pv.naturalOrder(pv.sum(a.color), pv.sum(b.color))
});
// force darkest color to black if everything < 5
var lowest = vboxes[0].color;
if (lowest[0] < 5 && lowest[1] < 5 && lowest[2] < 5)
vboxes[0].color = [0, 0, 0];
// force lightest color to white if everything > 251
var idx = vboxes.length - 1,
highest = vboxes[idx].color;
if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251)
vboxes[idx].color = [255, 255, 255];
}
};
// histo (1-d array, giving the number of pixels in
// each quantized region of color space), or null on error
function getHisto(pixels) {
var histosize = 1 << (3 * sigbits),
histo = new Array(histosize),
index, rval, gval, bval;
pixels.forEach(function(pixel) {
rval = pixel[0] >> rshift;
gval = pixel[1] >> rshift;
bval = pixel[2] >> rshift;
index = getColorIndex(rval, gval, bval);
histo[index] = (histo[index] || 0) + 1;
});
return histo;
}
function vboxFromPixels(pixels, histo) {
var rmin = 1000000,
rmax = 0,
gmin = 1000000,
gmax = 0,
bmin = 1000000,
bmax = 0,
rval, gval, bval;
// find min/max
pixels.forEach(function(pixel) {
rval = pixel[0] >> rshift;
gval = pixel[1] >> rshift;
bval = pixel[2] >> rshift;
if (rval < rmin) rmin = rval;
else if (rval > rmax) rmax = rval;
if (gval < gmin) gmin = gval;
else if (gval > gmax) gmax = gval;
if (bval < bmin) bmin = bval;
else if (bval > bmax) bmax = bval;
});
return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo);
}
function medianCutApply(histo, vbox) {
if (!vbox.count()) return;
var rw = vbox.r2 - vbox.r1 + 1,
gw = vbox.g2 - vbox.g1 + 1,
bw = vbox.b2 - vbox.b1 + 1,
maxw = pv.max([rw, gw, bw]);
// only one pixel, no split
if (vbox.count() == 1) {
return [vbox.copy()]
}
/* Find the partial sum arrays along the selected axis. */
var total = 0,
partialsum = [],
lookaheadsum = [],
i, j, k, sum, index;
if (maxw == rw) {
for (i = vbox.r1; i <= vbox.r2; i++) {
sum = 0;
for (j = vbox.g1; j <= vbox.g2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
index = getColorIndex(i, j, k);
sum += (histo[index] || 0);
}
}
total += sum;
partialsum[i] = total;
}
} else if (maxw == gw) {
for (i = vbox.g1; i <= vbox.g2; i++) {
sum = 0;
for (j = vbox.r1; j <= vbox.r2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
index = getColorIndex(j, i, k);
sum += (histo[index] || 0);
}
}
total += sum;
partialsum[i] = total;
}
} else { /* maxw == bw */
for (i = vbox.b1; i <= vbox.b2; i++) {
sum = 0;
for (j = vbox.r1; j <= vbox.r2; j++) {
for (k = vbox.g1; k <= vbox.g2; k++) {
index = getColorIndex(j, k, i);
sum += (histo[index] || 0);
}
}
total += sum;
partialsum[i] = total;
}
}
partialsum.forEach(function(d, i) {
lookaheadsum[i] = total - d
});
function doCut(color) {
var dim1 = color + '1',
dim2 = color + '2',
left, right, vbox1, vbox2, d2, count2 = 0;
for (i = vbox[dim1]; i <= vbox[dim2]; i++) {
if (partialsum[i] > total / 2) {
vbox1 = vbox.copy();
vbox2 = vbox.copy();
left = i - vbox[dim1];
right = vbox[dim2] - i;
if (left <= right)
d2 = Math.min(vbox[dim2] - 1, ~~ (i + right / 2));
else d2 = Math.max(vbox[dim1], ~~ (i - 1 - left / 2));
// avoid 0-count boxes
while (!partialsum[d2]) d2++;
count2 = lookaheadsum[d2];
while (!count2 && partialsum[d2 - 1]) count2 = lookaheadsum[--d2];
// set dimensions
vbox1[dim2] = d2;
vbox2[dim1] = vbox1[dim2] + 1;
// console.log('vbox counts:', vbox.count(), vbox1.count(), vbox2.count());
return [vbox1, vbox2];
}
}
}
// determine the cut planes
return maxw == rw ? doCut('r') :
maxw == gw ? doCut('g') :
doCut('b');
}
function quantize(pixels, maxcolors) {
// short-circuit
if (!pixels.length || maxcolors < 2 || maxcolors > 256) {
// console.log('wrong number of maxcolors');
return false;
}
// XXX: check color content and convert to grayscale if insufficient
var histo = getHisto(pixels),
histosize = 1 << (3 * sigbits);
// check that we aren't below maxcolors already
var nColors = 0;
histo.forEach(function() {
nColors++
});
if (nColors <= maxcolors) {
// XXX: generate the new colors from the histo and return
}
// get the beginning vbox from the colors
var vbox = vboxFromPixels(pixels, histo),
pq = new PQueue(function(a, b) {
return pv.naturalOrder(a.count(), b.count())
});
pq.push(vbox);
// inner function to do the iteration
function iter(lh, target) {
var ncolors = 1,
niters = 0,
vbox;
while (niters < maxIterations) {
vbox = lh.pop();
if (!vbox.count()) { /* just put it back */
lh.push(vbox);
niters++;
continue;
}
// do the cut
var vboxes = medianCutApply(histo, vbox),
vbox1 = vboxes[0],
vbox2 = vboxes[1];
if (!vbox1) {
// console.log("vbox1 not defined; shouldn't happen!");
return;
}
lh.push(vbox1);
if (vbox2) { /* vbox2 can be null */
lh.push(vbox2);
ncolors++;
}
if (ncolors >= target) return;
if (niters++ > maxIterations) {
// console.log("infinite loop; perhaps too few pixels!");
return;
}
}
}
// first set of colors, sorted by population
iter(pq, fractByPopulations * maxcolors);
// console.log(pq.size(), pq.debug().length, pq.debug().slice());
// Re-sort by the product of pixel occupancy times the size in color space.
var pq2 = new PQueue(function(a, b) {
return pv.naturalOrder(a.count() * a.volume(), b.count() * b.volume())
});
while (pq.size()) {
pq2.push(pq.pop());
}
// next set - generate the median cuts using the (npix * vol) sorting.
iter(pq2, maxcolors - pq2.size());
// calculate the actual colors
var cmap = new CMap();
while (pq2.size()) {
cmap.push(pq2.pop());
}
return cmap;
}
return {
quantize: quantize
}
})();
module.exports = MMCQ.quantize
},{}],2:[function(require,module,exports){
/*
Vibrant.js
by Jari Zwarts
Color algorithm class that finds variations on colors in an image.
Credits
--------
Lokesh Dhakar (http://www.lokeshdhakar.com) - Created ColorThief
Google - Palette support library in Android
*/
(function() {
var CanvasImage, Swatch, Vibrant,
bind = function(fn, me){ return function(){ return fn.apply(me, arguments); }; },
slice = [].slice;
window.Swatch = Swatch = (function() {
Swatch.prototype.hsl = void 0;
Swatch.prototype.rgb = void 0;
Swatch.prototype.population = 1;
Swatch.yiq = 0;
function Swatch(rgb, population) {
this.rgb = rgb;
this.population = population;
}
Swatch.prototype.getHsl = function() {
if (!this.hsl) {
return this.hsl = Vibrant.rgbToHsl(this.rgb[0], this.rgb[1], this.rgb[2]);
} else {
return this.hsl;
}
};
Swatch.prototype.getPopulation = function() {
return this.population;
};
Swatch.prototype.getRgb = function() {
return this.rgb;
};
Swatch.prototype.getHex = function() {
return "#" + ((1 << 24) + (this.rgb[0] << 16) + (this.rgb[1] << 8) + this.rgb[2]).toString(16).slice(1, 7);
};
Swatch.prototype.getTitleTextColor = function() {
this._ensureTextColors();
if (this.yiq < 200) {
return "#fff";
} else {
return "#000";
}
};
Swatch.prototype.getBodyTextColor = function() {
this._ensureTextColors();
if (this.yiq < 150) {
return "#fff";
} else {
return "#000";
}
};
Swatch.prototype._ensureTextColors = function() {
if (!this.yiq) {
return this.yiq = (this.rgb[0] * 299 + this.rgb[1] * 587 + this.rgb[2] * 114) / 1000;
}
};
return Swatch;
})();
window.Vibrant = Vibrant = (function() {
Vibrant.prototype.quantize = require('quantize');
Vibrant.prototype._swatches = [];
Vibrant.prototype.TARGET_DARK_LUMA = 0.26;
Vibrant.prototype.MAX_DARK_LUMA = 0.45;
Vibrant.prototype.MIN_LIGHT_LUMA = 0.55;
Vibrant.prototype.TARGET_LIGHT_LUMA = 0.74;
Vibrant.prototype.MIN_NORMAL_LUMA = 0.3;
Vibrant.prototype.TARGET_NORMAL_LUMA = 0.5;
Vibrant.prototype.MAX_NORMAL_LUMA = 0.7;
Vibrant.prototype.TARGET_MUTED_SATURATION = 0.3;
Vibrant.prototype.MAX_MUTED_SATURATION = 0.4;
Vibrant.prototype.TARGET_VIBRANT_SATURATION = 1;
Vibrant.prototype.MIN_VIBRANT_SATURATION = 0.35;
Vibrant.prototype.WEIGHT_SATURATION = 3;
Vibrant.prototype.WEIGHT_LUMA = 6;
Vibrant.prototype.WEIGHT_POPULATION = 1;
Vibrant.prototype.VibrantSwatch = void 0;
Vibrant.prototype.MutedSwatch = void 0;
Vibrant.prototype.DarkVibrantSwatch = void 0;
Vibrant.prototype.DarkMutedSwatch = void 0;
Vibrant.prototype.LightVibrantSwatch = void 0;
Vibrant.prototype.LightMutedSwatch = void 0;
Vibrant.prototype.HighestPopulation = 0;
function Vibrant(sourceImage, colorCount, quality) {
this.swatches = bind(this.swatches, this);
var a, allPixels, b, cmap, g, i, image, imageData, offset, pixelCount, pixels, r;
if (typeof colorCount === 'undefined') {
colorCount = 64;
}
if (typeof quality === 'undefined') {
quality = 5;
}
image = new CanvasImage(sourceImage);
try {
imageData = image.getImageData();
pixels = imageData.data;
pixelCount = image.getPixelCount();
allPixels = [];
i = 0;
while (i < pixelCount) {
offset = i * 4;
r = pixels[offset + 0];
g = pixels[offset + 1];
b = pixels[offset + 2];
a = pixels[offset + 3];
if (a >= 125) {
if (!(r > 250 && g > 250 && b > 250)) {
allPixels.push([r, g, b]);
}
}
i = i + quality;
}
cmap = this.quantize(allPixels, colorCount);
this._swatches = cmap.vboxes.map((function(_this) {
return function(vbox) {
return new Swatch(vbox.color, vbox.vbox.count());
};
})(this));
this.maxPopulation = this.findMaxPopulation;
this.generateVarationColors();
this.generateEmptySwatches();
} finally {
image.removeCanvas();
}
}
Vibrant.prototype.generateVarationColors = function() {
this.VibrantSwatch = this.findColorVariation(this.TARGET_NORMAL_LUMA, this.MIN_NORMAL_LUMA, this.MAX_NORMAL_LUMA, this.TARGET_VIBRANT_SATURATION, this.MIN_VIBRANT_SATURATION, 1);
this.LightVibrantSwatch = this.findColorVariation(this.TARGET_LIGHT_LUMA, this.MIN_LIGHT_LUMA, 1, this.TARGET_VIBRANT_SATURATION, this.MIN_VIBRANT_SATURATION, 1);
this.DarkVibrantSwatch = this.findColorVariation(this.TARGET_DARK_LUMA, 0, this.MAX_DARK_LUMA, this.TARGET_VIBRANT_SATURATION, this.MIN_VIBRANT_SATURATION, 1);
this.MutedSwatch = this.findColorVariation(this.TARGET_NORMAL_LUMA, this.MIN_NORMAL_LUMA, this.MAX_NORMAL_LUMA, this.TARGET_MUTED_SATURATION, 0, this.MAX_MUTED_SATURATION);
this.LightMutedSwatch = this.findColorVariation(this.TARGET_LIGHT_LUMA, this.MIN_LIGHT_LUMA, 1, this.TARGET_MUTED_SATURATION, 0, this.MAX_MUTED_SATURATION);
return this.DarkMutedSwatch = this.findColorVariation(this.TARGET_DARK_LUMA, 0, this.MAX_DARK_LUMA, this.TARGET_MUTED_SATURATION, 0, this.MAX_MUTED_SATURATION);
};
Vibrant.prototype.generateEmptySwatches = function() {
var hsl;
if (this.VibrantSwatch === void 0) {
if (this.DarkVibrantSwatch !== void 0) {
hsl = this.DarkVibrantSwatch.getHsl();
hsl[2] = this.TARGET_NORMAL_LUMA;
this.VibrantSwatch = new Swatch(Vibrant.hslToRgb(hsl[0], hsl[1], hsl[2]), 0);
}
}
if (this.DarkVibrantSwatch === void 0) {
if (this.VibrantSwatch !== void 0) {
hsl = this.VibrantSwatch.getHsl();
hsl[2] = this.TARGET_DARK_LUMA;
return this.DarkVibrantSwatch = new Swatch(Vibrant.hslToRgb(hsl[0], hsl[1], hsl[2]), 0);
}
}
};
Vibrant.prototype.findMaxPopulation = function() {
var j, len, population, ref, swatch;
population = 0;
ref = this._swatches;
for (j = 0, len = ref.length; j < len; j++) {
swatch = ref[j];
population = Math.max(population, swatch.getPopulation());
}
return population;
};
Vibrant.prototype.findColorVariation = function(targetLuma, minLuma, maxLuma, targetSaturation, minSaturation, maxSaturation) {
var j, len, luma, max, maxValue, ref, sat, swatch, value;
max = void 0;
maxValue = 0;
ref = this._swatches;
for (j = 0, len = ref.length; j < len; j++) {
swatch = ref[j];
sat = swatch.getHsl()[1];
luma = swatch.getHsl()[2];
if (sat >= minSaturation && sat <= maxSaturation && luma >= minLuma && luma <= maxLuma && !this.isAlreadySelected(swatch)) {
value = this.createComparisonValue(sat, targetSaturation, luma, targetLuma, swatch.getPopulation(), this.HighestPopulation);
if (max === void 0 || value > maxValue) {
max = swatch;
maxValue = value;
}
}
}
return max;
};
Vibrant.prototype.createComparisonValue = function(saturation, targetSaturation, luma, targetLuma, population, maxPopulation) {
return this.weightedMean(this.invertDiff(saturation, targetSaturation), this.WEIGHT_SATURATION, this.invertDiff(luma, targetLuma), this.WEIGHT_LUMA, population / maxPopulation, this.WEIGHT_POPULATION);
};
Vibrant.prototype.invertDiff = function(value, targetValue) {
return 1 - Math.abs(value - targetValue);
};
Vibrant.prototype.weightedMean = function() {
var i, sum, sumWeight, value, values, weight;
values = 1 <= arguments.length ? slice.call(arguments, 0) : [];
sum = 0;
sumWeight = 0;
i = 0;
while (i < values.length) {
value = values[i];
weight = values[i + 1];
sum += value * weight;
sumWeight += weight;
i += 2;
}
return sum / sumWeight;
};
Vibrant.prototype.swatches = function() {
return {
Vibrant: this.VibrantSwatch,
Muted: this.MutedSwatch,
DarkVibrant: this.DarkVibrantSwatch,
DarkMuted: this.DarkMutedSwatch,
LightVibrant: this.LightVibrantSwatch,
LightMuted: this.LightMuted
};
};
Vibrant.prototype.isAlreadySelected = function(swatch) {
return this.VibrantSwatch === swatch || this.DarkVibrantSwatch === swatch || this.LightVibrantSwatch === swatch || this.MutedSwatch === swatch || this.DarkMutedSwatch === swatch || this.LightMutedSwatch === swatch;
};
Vibrant.rgbToHsl = function(r, g, b) {
var d, h, l, max, min, s;
r /= 255;
g /= 255;
b /= 255;
max = Math.max(r, g, b);
min = Math.min(r, g, b);
h = void 0;
s = void 0;
l = (max + min) / 2;
if (max === min) {
h = s = 0;
} else {
d = max - min;
s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
switch (max) {
case r:
h = (g - b) / d + (g < b ? 6 : 0);
break;
case g:
h = (b - r) / d + 2;
break;
case b:
h = (r - g) / d + 4;
}
h /= 6;
}
return [h, s, l];
};
Vibrant.hslToRgb = function(h, s, l) {
var b, g, hue2rgb, p, q, r;
r = void 0;
g = void 0;
b = void 0;
hue2rgb = function(p, q, t) {
if (t < 0) {
t += 1;
}
if (t > 1) {
t -= 1;
}
if (t < 1 / 6) {
return p + (q - p) * 6 * t;
}
if (t < 1 / 2) {
return q;
}
if (t < 2 / 3) {
return p + (q - p) * (2 / 3 - t) * 6;
}
return p;
};
if (s === 0) {
r = g = b = l;
} else {
q = l < 0.5 ? l * (1 + s) : l + s - (l * s);
p = 2 * l - q;
r = hue2rgb(p, q, h + 1 / 3);
g = hue2rgb(p, q, h);
b = hue2rgb(p, q, h - (1 / 3));
}
return [r * 255, g * 255, b * 255];
};
return Vibrant;
})();
/*
CanvasImage Class
Class that wraps the html image element and canvas.
It also simplifies some of the canvas context manipulation
with a set of helper functions.
Stolen from https://github.com/lokesh/color-thief
*/
window.CanvasImage = CanvasImage = (function() {
function CanvasImage(image, context) {
if (context) {
this.width = image.width;
this.height = image.height;
this.context = context;
} else {
this.canvas = document.createElement('canvas');
this.width = this.canvas.width = image.width;
this.height = this.canvas.height = image.height;
this.context = this.canvas.getContext('2d');
this.context.drawImage(image, 0, 0, this.width, this.height);
}
}
CanvasImage.prototype.getPixelCount = function() {
return this.width * this.height;
};
CanvasImage.prototype.getImageData = function () {
return this.context.getImageData(0, 0, this.width, this.height);
};
CanvasImage.prototype.removeCanvas = function() {
this.context = null;
this.canvas = null;
};
return CanvasImage;
})();
}).call(this);
},{"quantize":1}]},{},[2]);
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