mirror of
https://github.com/KevinMidboe/zoff.git
synced 2025-10-29 18:00:23 +00:00
White design
This commit is contained in:
Nicolas A. Tonne
@@ -16,7 +16,7 @@
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<div id="pBar"></div>
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<div id="sBar"></div>
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<div id="eBar"></div>
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<div class="bgimage" id="bgimage"></div>
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<!--<div class="bgimage" id="bgimage"></div>-->
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<div class="top vcent centered">
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<div id="change" class="small">
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<div id="mobile-banner">
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663
js/color-thief.min.js
vendored
Normal file
663
js/color-thief.min.js
vendored
Normal file
@@ -0,0 +1,663 @@
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/*
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* Color Thief v2.0
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* by Lokesh Dhakar - http://www.lokeshdhakar.com
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*
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* License
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* -------
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* Creative Commons Attribution 2.5 License:
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* http://creativecommons.org/licenses/by/2.5/
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*
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* Thanks
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* ------
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* Nick Rabinowitz - For creating quantize.js.
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* John Schulz - For clean up and optimization. @JFSIII
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* Nathan Spady - For adding drag and drop support to the demo page.
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*
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*/
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/*
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CanvasImage Class
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Class that wraps the html image element and canvas.
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It also simplifies some of the canvas context manipulation
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with a set of helper functions.
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*/
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var iAmOnNode = false;
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if (typeof process !== 'undefined' && process.execPath && process.execPath.indexOf('node') !== -1) {
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iAmOnNode = true;
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||||
}
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if (iAmOnNode) {
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var Canvas = require('canvas');
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var Image = Canvas.Image;
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var fs = require('fs');
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}
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var CanvasImage = function (image) {
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// in node we use strings as path to an image
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// whereas in the browser we use an image element
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if (iAmOnNode) {
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this.canvas = new Canvas()
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var img = new Image;
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||||
|
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if(image instanceof Buffer) {
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img.src = image
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||||
}else{
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img.src = fs.readFileSync(image);
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}
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||||
|
||||
} else {
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this.canvas = document.createElement('canvas');
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||||
document.body.appendChild(this.canvas);
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var img = image;
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}
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this.context = this.canvas.getContext('2d');
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this.width = this.canvas.width = img.width;
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this.height = this.canvas.height = img.height;
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this.context.drawImage(img, 0, 0, this.width, this.height);
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};
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||||
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CanvasImage.prototype.clear = function () {
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this.context.clearRect(0, 0, this.width, this.height);
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};
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|
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CanvasImage.prototype.update = function (imageData) {
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this.context.putImageData(imageData, 0, 0);
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};
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|
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CanvasImage.prototype.getPixelCount = function () {
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return this.width * this.height;
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};
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||||
|
||||
CanvasImage.prototype.getImageData = function () {
|
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return this.context.getImageData(0, 0, this.width, this.height);
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};
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||||
|
||||
CanvasImage.prototype.removeCanvas = function () {
|
||||
if (this.canvas.parentNode) {
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this.canvas.parentNode.removeChild(this.canvas);
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||||
}
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};
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||||
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var ColorThief = function () {};
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/*
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* getColor(sourceImage[, quality])
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* returns {r: num, g: num, b: num}
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||||
*
|
||||
* Use the median cut algorithm provided by quantize.js to cluster similar
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||||
* colors and return the base color from the largest cluster.
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||||
*
|
||||
* Quality is an optional argument. It needs to be an integer. 0 is the highest quality settings.
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||||
* 10 is the default. There is a trade-off between quality and speed. The bigger the number, the
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||||
* faster a color will be returned but the greater the likelihood that it will not be the visually
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||||
* most dominant color.
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||||
*
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||||
* */
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||||
ColorThief.prototype.getColor = function(sourceImage, quality, allowWhite) {
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// control if second parameter is allowWhite
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if (quality === true || quality === false) {
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allowWhite = quality;
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quality = undefined;
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||||
}
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||||
|
||||
var palette = this.getPalette(sourceImage, 5, quality, allowWhite);
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||||
var dominantColor = palette[0];
|
||||
return dominantColor;
|
||||
};
|
||||
|
||||
|
||||
/*
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||||
* getPalette(sourceImage[, colorCount, quality])
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||||
* returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]
|
||||
*
|
||||
* Use the median cut algorithm provided by quantize.js to cluster similar colors.
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||||
*
|
||||
* colorCount determines the size of the palette; the number of colors returned. If not set, it
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||||
* defaults to 10.
|
||||
*
|
||||
* BUGGY: Function does not always return the requested amount of colors. It can be +/- 2.
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||||
*
|
||||
* quality is an optional argument. It needs to be an integer. 0 is the highest quality settings.
|
||||
* 10 is the default. There is a trade-off between quality and speed. The bigger the number, the
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||||
* faster the palette generation but the greater the likelihood that colors will be missed.
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||||
*
|
||||
*
|
||||
*/
|
||||
ColorThief.prototype.getPalette = function(sourceImage, colorCount, quality, allowWhite) {
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||||
|
||||
if (typeof colorCount === 'undefined') {
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||||
colorCount = 10;
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||||
};
|
||||
if (typeof quality === 'undefined') {
|
||||
quality = 10;
|
||||
};
|
||||
|
||||
// Create custom CanvasImage object
|
||||
var image = new CanvasImage(sourceImage);
|
||||
var imageData = image.getImageData();
|
||||
var pixels = imageData.data;
|
||||
var pixelCount = image.getPixelCount();
|
||||
var palette = this.getPaletteFromPixels(pixels, pixelCount, colorCount, quality, allowWhite);
|
||||
|
||||
// Clean up
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||||
image.removeCanvas();
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||||
|
||||
return palette;
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||||
};
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||||
|
||||
/*
|
||||
* getPaletteFromPixels(pixels, pixelCount, colorCount, quality)
|
||||
* returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]
|
||||
*
|
||||
* Low-level function that takes pixels and computes color palette.
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||||
* Used by getPalette() and getColor()
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||||
*
|
||||
*/
|
||||
ColorThief.prototype.getPaletteFromPixels = function(pixels, pixelCount, colorCount, quality, allowWhite) {
|
||||
|
||||
// Store the RGB values in an array format suitable for quantize function
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||||
var pixelArray = [];
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||||
for (var i = 0, offset, r, g, b, a; i < pixelCount; i = i + quality) {
|
||||
offset = i * 4;
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||||
r = pixels[offset + 0];
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||||
g = pixels[offset + 1];
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||||
b = pixels[offset + 2];
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||||
a = pixels[offset + 3];
|
||||
// If pixel is mostly opaque and not white
|
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if (a >= 125) {
|
||||
if ((!(r > 250 && g > 250 && b > 250) && allowWhite !== true) || (!(r > 255 && g > 255 && b > 255) && allowWhite === true )) {
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||||
pixelArray.push([r, g, b]);
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||||
}
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||||
}
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||||
}
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||||
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||||
// Send array to quantize function which clusters values
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||||
// using median cut algorithm
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||||
var cmap = MMCQ.quantize(pixelArray, colorCount);
|
||||
var palette = cmap.palette();
|
||||
|
||||
return palette;
|
||||
}
|
||||
|
||||
/*!
|
||||
* quantize.js Copyright 2008 Nick Rabinowitz.
|
||||
* 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 = {
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||||
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);
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||||
},
|
||||
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)
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||||
* 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
|
||||
|
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// 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
|
||||
];
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||||
var maxColors = 4;
|
||||
|
||||
var cmap = MMCQ.quantize(myPixels, maxColors);
|
||||
var newPalette = cmap.palette();
|
||||
var newPixels = myPixels.map(function(p) {
|
||||
return cmap.map(p);
|
||||
});
|
||||
|
||||
*/
|
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var MMCQ = (function() {
|
||||
// private constants
|
||||
var sigbits = 5,
|
||||
rshift = 8 - sigbits,
|
||||
maxIterations = 1000,
|
||||
fractByPopulations = 0.75;
|
||||
|
||||
// get reduced-space color index for a pixel
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||||
function getColorIndex(r, g, b) {
|
||||
return (r << (2 * sigbits)) + (g << sigbits) + b;
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||||
}
|
||||
|
||||
// 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;
|
||||
for (i = vbox.r1; i <= vbox.r2; i++) {
|
||||
for (j = vbox.g1; j <= vbox.g2; j++) {
|
||||
for (k = vbox.b1; k <= vbox.b2; k++) {
|
||||
var 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);
|
||||
|
||||
// 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
|
||||
}
|
||||
})();
|
||||
|
||||
|
||||
if (typeof module !== 'undefined' && module.exports) {
|
||||
module.exports = ColorThief;
|
||||
}
|
||||
@@ -72,7 +72,7 @@ function updateList()
|
||||
scrollbars: true,
|
||||
scrollY: true,
|
||||
interactiveScrollbars: true,
|
||||
fadeScrollbars: true
|
||||
fadeScrollbars: false
|
||||
});
|
||||
scroller = true;
|
||||
}else
|
||||
|
||||
@@ -158,21 +158,24 @@ function playPause()
|
||||
|
||||
function durationSetter()
|
||||
{
|
||||
duration = ytplayer.getDuration();
|
||||
dMinutes = Math.floor(duration / 60);
|
||||
dSeconds = duration - dMinutes * 60;
|
||||
currDurr = ytplayer.getCurrentTime();
|
||||
if(currDurr > duration)
|
||||
currDurr = duration;
|
||||
minutes = Math.floor(currDurr / 60);
|
||||
seconds = currDurr - minutes * 60;
|
||||
document.getElementById("duration").innerHTML = pad(minutes)+":"+pad(seconds)+" <span id='dash'>/</span> "+pad(dMinutes)+":"+pad(dSeconds);
|
||||
per = (100 / duration) * currDurr;
|
||||
if(per >= 100)
|
||||
per = 100;
|
||||
else if(duration == 0)
|
||||
per = 0;
|
||||
$("#bar").width(per+"%");
|
||||
if(ytplayer !== undefined && ytplayer.getDuration() !== undefined)
|
||||
{
|
||||
duration = ytplayer.getDuration();
|
||||
dMinutes = Math.floor(duration / 60);
|
||||
dSeconds = duration - dMinutes * 60;
|
||||
currDurr = ytplayer.getCurrentTime();
|
||||
if(currDurr > duration)
|
||||
currDurr = duration;
|
||||
minutes = Math.floor(currDurr / 60);
|
||||
seconds = currDurr - minutes * 60;
|
||||
document.getElementById("duration").innerHTML = pad(minutes)+":"+pad(seconds)+" <span id='dash'>/</span> "+pad(dMinutes)+":"+pad(dSeconds);
|
||||
per = (100 / duration) * currDurr;
|
||||
if(per >= 100)
|
||||
per = 100;
|
||||
else if(duration == 0)
|
||||
per = 0;
|
||||
$("#bar").width(per+"%");
|
||||
}
|
||||
}
|
||||
|
||||
function pad(n)
|
||||
|
||||
@@ -33,9 +33,11 @@ var adminpass = "";
|
||||
var notified = false;
|
||||
var peis = false;
|
||||
var filesadded="";
|
||||
var colorThief;
|
||||
|
||||
$(document).ready(function()
|
||||
{
|
||||
colorThief = new ColorThief();
|
||||
window.mobilecheck = function() {
|
||||
var check = false;
|
||||
(function(a){if(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(a)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(a.substr(0,4)))check = true;})(navigator.userAgent||navigator.vendor||window.opera);
|
||||
@@ -127,7 +129,6 @@ function onYouTubeIframeAPIReady() {
|
||||
jazz_setup();
|
||||
}
|
||||
$("#player").css("opacity", "0");
|
||||
initYoutubeControls(ytplayer);
|
||||
}
|
||||
|
||||
function onPlayerStateChange(newState) {
|
||||
@@ -390,6 +391,7 @@ function onPlayerReady(event) {
|
||||
$(".playlist").css("opacity", "1");
|
||||
//$("#player").fadeIn();
|
||||
ytplayer.playVideo();
|
||||
initYoutubeControls(ytplayer);
|
||||
}
|
||||
readyLooks();
|
||||
initSlider();
|
||||
@@ -403,21 +405,14 @@ function readyLooks()
|
||||
}
|
||||
|
||||
function setBGimage(id){
|
||||
if(id == "30H2Z8Lr-4c")
|
||||
{
|
||||
$("#bgimage").css("background-image", "url(bg4.jpg);");
|
||||
}else if(window.mozInnerScreenX == null && !window.mobilecheck()){
|
||||
var bg = new Image();
|
||||
bg.src = "http://img.youtube.com/vi/"+id+"/0.jpg";
|
||||
$("#bgimage").addClass("noopacity");
|
||||
console.log(bg);
|
||||
bg.addEventListener("load", function(){
|
||||
setTimeout(function(){
|
||||
$("#bgimage").css("background-image", "url("+bg.src+")");
|
||||
//document.getElementById("bgimage").backgroundImage.src = bg.src;
|
||||
$("#bgimage").removeClass("noopacity");
|
||||
}, 1000);
|
||||
});
|
||||
if(!window.mobilecheck()){
|
||||
var bg = $(".thumb.lthumb")[0]; //new Image();
|
||||
//bg.src = "http://i.ytimg.com/vi/"+id+"/mqdefault.jpg";
|
||||
var color = colorThief.getColor(bg, 10);
|
||||
var hsl = rgbToHsl(color);
|
||||
var colorTxt = "hsla("+hsl[0]+", "+hsl[1]+"%, 22%, 0.5);";
|
||||
$("#controls").css("background-color", colorTxt);
|
||||
$("#search").css("background-color", colortxt);
|
||||
}else if(window.mobilecheck()){
|
||||
$("#mobile-banner").css("background-image", "url(http://img.youtube.com/vi/"+id+"/hqdefault.jpg)");
|
||||
$("#mobile-banner").css("width",$(window).width());
|
||||
@@ -434,3 +429,24 @@ function notifyUser(id, title) {
|
||||
},5000);
|
||||
}
|
||||
}
|
||||
|
||||
function rgbToHsl(r, g, b){
|
||||
r /= 255, g /= 255, b /= 255;
|
||||
var max = Math.max(r, g, b), min = Math.min(r, g, b);
|
||||
var h, s, l = (max + min) / 2;
|
||||
|
||||
if(max == min){
|
||||
h = s = 0; // achromatic
|
||||
}else{
|
||||
var 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; break;
|
||||
}
|
||||
h /= 6;
|
||||
}
|
||||
|
||||
return [h*360, s*100, l*100];
|
||||
}
|
||||
|
||||
@@ -10,6 +10,7 @@
|
||||
<script type="text/javascript" src="static/js/youtube.js"></script>
|
||||
<script type="text/javascript" src="static/js/search.js"></script>
|
||||
<script type="text/javascript" src="static/js/admin.js"></script>
|
||||
<script type="text/javascript" src="static/js/color-thief.min.js"></script>
|
||||
<!-- Piwik tracking -->
|
||||
<script type="text/javascript">
|
||||
var _paq = _paq || [];
|
||||
|
||||
@@ -56,7 +56,7 @@ foreach($fil as $files){
|
||||
<?php include("header.php"); ?>
|
||||
</head>
|
||||
<body>
|
||||
<div class="bgimage" id="bgimage"></div>
|
||||
<!--<div class="bgimage" id="bgimage"></div>-->
|
||||
<div class="top centered nochanvcent">
|
||||
<div id="change" class="small">
|
||||
<img id="zicon" src="static/favicon.png">
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
{
|
||||
opacity:0;
|
||||
height:30px;
|
||||
background-color:rgba(255, 255, 255, 0.25);
|
||||
background-color:rgba(0,0,0,0.5);
|
||||
position:absolute;
|
||||
width:54%;
|
||||
transition: 0.75s -webkit-filter linear;
|
||||
@@ -104,7 +104,7 @@
|
||||
margin: 12px auto;
|
||||
height:5px;
|
||||
width: 75px;
|
||||
background-color:rgba(0, 0, 0, 0.5);
|
||||
background-color:rgba(255, 255, 255, 0.7);
|
||||
border: none;
|
||||
outline: none;
|
||||
border-radius: 2px;
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 6.5 KiB After Width: | Height: | Size: 6.6 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 937 B After Width: | Height: | Size: 930 B |
@@ -1,5 +1,5 @@
|
||||
body {
|
||||
background:#000;
|
||||
background:#EFEFEF;
|
||||
margin:0;
|
||||
}
|
||||
|
||||
@@ -64,7 +64,7 @@ body {
|
||||
}
|
||||
|
||||
.top,.top a {
|
||||
color:#fff;
|
||||
color: #2D2D2D;
|
||||
text-decoration:none;
|
||||
}
|
||||
|
||||
@@ -145,7 +145,7 @@ body {
|
||||
|
||||
.small {
|
||||
font-size:5vw;
|
||||
color:#E2E2E2;
|
||||
color: #FAFAFA;
|
||||
text-decoration:none;
|
||||
}
|
||||
|
||||
@@ -162,20 +162,20 @@ body {
|
||||
}
|
||||
|
||||
.footer a {
|
||||
color:rgba(254,254,254,0.42);
|
||||
color: rgba(45, 45, 45, 0.7);
|
||||
text-decoration:none;
|
||||
display: inline;
|
||||
}
|
||||
|
||||
.footer a:hover {
|
||||
color:grey;
|
||||
color:#000;
|
||||
}
|
||||
|
||||
.footer {
|
||||
font-size:15px;
|
||||
position:absolute;
|
||||
width:99%;
|
||||
color:rgba(192,192,192,0.42)!important;
|
||||
color: rgba(45, 45, 45, 0.5)!important;
|
||||
/*margin-top: 50px;*/
|
||||
word-spacing:2px;
|
||||
bottom:0;
|
||||
@@ -201,7 +201,7 @@ body {
|
||||
padding:7px;
|
||||
display:inline-block;
|
||||
font-weight:700;
|
||||
color:#C4C4C4!important;
|
||||
color: #808080!important;
|
||||
font-size:18px;
|
||||
}
|
||||
|
||||
@@ -236,7 +236,7 @@ body {
|
||||
}
|
||||
|
||||
.chan {
|
||||
color:#CCC;
|
||||
color:rgba(0, 0, 0, 0.4);
|
||||
cursor:pointer;
|
||||
display:inline;
|
||||
}
|
||||
@@ -276,7 +276,7 @@ body {
|
||||
|
||||
#results {
|
||||
position:absolute;
|
||||
background-color:rgba(0,0,0,0.2);
|
||||
background-color:rgba(0,0,0,0.5);
|
||||
font-size:14px;
|
||||
width:88.5%;
|
||||
border-radius: 0px 3px 3px 0px;
|
||||
@@ -370,7 +370,7 @@ body {
|
||||
}
|
||||
|
||||
.ltitle {
|
||||
color:#FFF;
|
||||
color:#0F0F0F;
|
||||
overflow:hidden;
|
||||
height:40px;
|
||||
}
|
||||
@@ -379,12 +379,12 @@ body {
|
||||
position:relative;
|
||||
margin-top:-0-5em;
|
||||
font-size:18px;
|
||||
color:#fff;
|
||||
color:#0F0F0F;
|
||||
}
|
||||
|
||||
#plus,#minus {
|
||||
text-decoration:none;
|
||||
color:#eee;
|
||||
color:#222;
|
||||
margin-left:2px;
|
||||
padding-left:3px;
|
||||
padding-right:3px;
|
||||
@@ -466,7 +466,7 @@ input[type="radio"] {
|
||||
}
|
||||
|
||||
.toggler label:hover {
|
||||
border-bottom:solid 1px #fff
|
||||
border-bottom:solid 1px #0F0F0F;
|
||||
}
|
||||
|
||||
.radio:checked + span {
|
||||
@@ -494,11 +494,11 @@ input[type="radio"] {
|
||||
|
||||
#adminPanel {
|
||||
border-bottom:none;
|
||||
color:#fff;
|
||||
color: #fff;
|
||||
height:270px;
|
||||
padding:10px;
|
||||
overflow:hidden;
|
||||
background-color:rgba(0,0,0,0.2);
|
||||
background-color:rgba(0,0,0,0.5);
|
||||
transition:height .5s;
|
||||
-webkit-filter:brightness(100%) !important;
|
||||
filter:brightness(100%) !important;
|
||||
@@ -542,7 +542,7 @@ input[type="radio"] {
|
||||
#search {
|
||||
padding-left:50px;
|
||||
background:url(search2.png)no-repeat 10px 50%;
|
||||
background-color:rgba(255,255,255,0.2);
|
||||
background-color: rgba(0, 0, 0, 0.5);
|
||||
background-size:2%;
|
||||
transition:box-shadow .5s;
|
||||
}
|
||||
@@ -589,12 +589,19 @@ input[type="radio"] {
|
||||
transition: all 0.5s ease;
|
||||
}
|
||||
|
||||
#zicon:hover + .fchan{
|
||||
opacity:1;
|
||||
margin-top:0%;
|
||||
margin-bottom:0.5%;
|
||||
}
|
||||
|
||||
.fchan {
|
||||
color:#fff;
|
||||
font-size:3vw;
|
||||
padding-top:25%;
|
||||
padding:0;
|
||||
margin:0;
|
||||
color: #2D2D2D;
|
||||
font-size: 5vw;
|
||||
opacity: 0;
|
||||
margin-top:-1%;
|
||||
margin-bottom:1.5%;
|
||||
transition: opacity .4s ease, margin .5s ease;
|
||||
}
|
||||
|
||||
#settings{
|
||||
|
||||
Reference in New Issue
Block a user