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Material
This commit is contained in:
17
static/js/lib/blur.min.js
vendored
Executable file
17
static/js/lib/blur.min.js
vendored
Executable file
@@ -0,0 +1,17 @@
|
||||
/*
|
||||
* Blur.js
|
||||
* Copyright Jacob Kelley
|
||||
* MIT License
|
||||
*/
|
||||
// Stackblur, courtesy of Mario Klingemann: http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
|
||||
(function(l){l.fn.blurjs=function(e){function O(){this.a=this.b=this.g=this.r=0;this.next=null}var y=document.createElement("canvas"),P=!1,H=l(this).selector.replace(/[^a-zA-Z0-9]/g,"");if(y.getContext){var e=l.extend({source:"body",radius:5,overlay:"",offset:{x:0,y:0},optClass:"",cache:!1,cacheKeyPrefix:"blurjs-",draggable:!1,debug:!1},e),R=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,
|
||||
328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,
|
||||
305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],S=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,
|
||||
20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,
|
||||
24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];return this.each(function(){var A=l(this),I=l(e.source),B=I.css("backgroundImage").replace(/"/g,"").replace(/url\(|\)$/ig,"");ctx=y.getContext("2d");tempImg=new Image;tempImg.onload=function(){if(P)j=tempImg.src;else{y.style.display="none";y.width=tempImg.width;y.height=tempImg.height;ctx.drawImage(tempImg,0,0);var j=y.width,q=y.height,k=e.radius;if(!(isNaN(k)||1>k)){var k=
|
||||
k|0,M=y.getContext("2d"),l;try{try{l=M.getImageData(0,0,j,q)}catch(L){try{netscape.security.PrivilegeManager.enablePrivilege("UniversalBrowserRead"),l=M.getImageData(0,0,j,q)}catch(T){throw alert("Cannot access local image"),Error("unable to access local image data: "+T);}}}catch(U){throw alert("Cannot access image"),Error("unable to access image data: "+U);}var c=l.data,u,z,a,d,f,J,g,h,i,v,w,x,m,n,o,r,s,t,C;u=k+k+1;var K=j-1,N=q-1,p=k+1,D=p*(p+1)/2,E=new O,b=E;for(a=1;a<u;a++)if(b=b.next=new O,a==
|
||||
p)var Q=b;b.next=E;b=a=null;J=f=0;var F=R[k],G=S[k];for(z=0;z<q;z++){m=n=o=g=h=i=0;v=p*(r=c[f]);w=p*(s=c[f+1]);x=p*(t=c[f+2]);g+=D*r;h+=D*s;i+=D*t;b=E;for(a=0;a<p;a++)b.r=r,b.g=s,b.b=t,b=b.next;for(a=1;a<p;a++)d=f+((K<a?K:a)<<2),g+=(b.r=r=c[d])*(C=p-a),h+=(b.g=s=c[d+1])*C,i+=(b.b=t=c[d+2])*C,m+=r,n+=s,o+=t,b=b.next;a=E;b=Q;for(u=0;u<j;u++)c[f]=g*F>>G,c[f+1]=h*F>>G,c[f+2]=i*F>>G,g-=v,h-=w,i-=x,v-=a.r,w-=a.g,x-=a.b,d=J+((d=u+k+1)<K?d:K)<<2,m+=a.r=c[d],n+=a.g=c[d+1],o+=a.b=c[d+2],g+=m,h+=n,i+=o,a=a.next,
|
||||
v+=r=b.r,w+=s=b.g,x+=t=b.b,m-=r,n-=s,o-=t,b=b.next,f+=4;J+=j}for(u=0;u<j;u++){n=o=m=h=i=g=0;f=u<<2;v=p*(r=c[f]);w=p*(s=c[f+1]);x=p*(t=c[f+2]);g+=D*r;h+=D*s;i+=D*t;b=E;for(a=0;a<p;a++)b.r=r,b.g=s,b.b=t,b=b.next;d=j;for(a=1;a<=k;a++)f=d+u<<2,g+=(b.r=r=c[f])*(C=p-a),h+=(b.g=s=c[f+1])*C,i+=(b.b=t=c[f+2])*C,m+=r,n+=s,o+=t,b=b.next,a<N&&(d+=j);f=u;a=E;b=Q;for(z=0;z<q;z++)d=f<<2,c[d]=g*F>>G,c[d+1]=h*F>>G,c[d+2]=i*F>>G,g-=v,h-=w,i-=x,v-=a.r,w-=a.g,x-=a.b,d=u+((d=z+p)<N?d:N)*j<<2,g+=m+=a.r=c[d],h+=n+=a.g=
|
||||
c[d+1],i+=o+=a.b=c[d+2],a=a.next,v+=r=b.r,w+=s=b.g,x+=t=b.b,m-=r,n-=s,o-=t,b=b.next,f+=j}M.putImageData(l,0,0)}if(!1!=e.overlay)ctx.beginPath(),ctx.rect(0,0,tempImg.width,tempImg.width),ctx.fillStyle=e.overlay,ctx.fill();var j=y.toDataURL();if(e.cache)try{e.debug&&console.log("Cache Set"),localStorage.setItem(e.cacheKeyPrefix+H+"-"+B+"-data-image",j)}catch(V){console.log(V)}}q=I.css("backgroundAttachment");k="fixed"==q?"":"-"+(A.offset().left-I.offset().left-e.offset.x)+"px -"+(A.offset().top-I.offset().top-
|
||||
e.offset.y)+"px";A.css({"background-image":'url("'+j+'")',"background-repeat":I.css("backgroundRepeat"),"background-position":k,"background-attachment":q});!1!=e.optClass&&A.addClass(e.optClass);e.draggable&&(A.css({"background-attachment":"fixed","background-position":"0 0"}),A.draggable())};Storage.prototype.cacheChecksum=function(j){var q="",k;for(k in j)var l=j[k],q="[object Object]"==l.toString()?q+(l.x.toString()+l.y.toString()+",").replace(/[^a-zA-Z0-9]/g,""):q+(l+",").replace(/[^a-zA-Z0-9]/g,
|
||||
"");this.getItem(e.cacheKeyPrefix+H+"-"+B+"-options-cache")!=q&&(this.removeItem(e.cacheKeyPrefix+H+"-"+B+"-options-cache"),this.setItem(e.cacheKeyPrefix+H+"-"+B+"-options-cache",q),e.debug&&console.log("Settings Changed, Cache Emptied"))};var L=null;e.cache&&(localStorage.cacheChecksum(e),L=localStorage.getItem(e.cacheKeyPrefix+H+"-"+B+"-data-image"));null!=L?(e.debug&&console.log("Cache Used"),P=!0,tempImg.src=L):(e.debug&&console.log("Source Used"),tempImg.src=B)})}}})(jQuery);
|
||||
663
static/js/lib/color-thief.min.js
vendored
Executable file
663
static/js/lib/color-thief.min.js
vendored
Executable file
@@ -0,0 +1,663 @@
|
||||
/*
|
||||
* Color Thief v2.0
|
||||
* by Lokesh Dhakar - http://www.lokeshdhakar.com
|
||||
*
|
||||
* License
|
||||
* -------
|
||||
* Creative Commons Attribution 2.5 License:
|
||||
* http://creativecommons.org/licenses/by/2.5/
|
||||
*
|
||||
* Thanks
|
||||
* ------
|
||||
* Nick Rabinowitz - For creating quantize.js.
|
||||
* John Schulz - For clean up and optimization. @JFSIII
|
||||
* Nathan Spady - For adding drag and drop support to the demo page.
|
||||
*
|
||||
*/
|
||||
|
||||
|
||||
/*
|
||||
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.
|
||||
*/
|
||||
|
||||
var iAmOnNode = false;
|
||||
if (typeof process !== 'undefined' && process.execPath && process.execPath.indexOf('node') !== -1) {
|
||||
iAmOnNode = true;
|
||||
}
|
||||
if (iAmOnNode) {
|
||||
var Canvas = require('canvas');
|
||||
var Image = Canvas.Image;
|
||||
var fs = require('fs');
|
||||
}
|
||||
|
||||
var CanvasImage = function (image) {
|
||||
// in node we use strings as path to an image
|
||||
// whereas in the browser we use an image element
|
||||
if (iAmOnNode) {
|
||||
this.canvas = new Canvas()
|
||||
var img = new Image;
|
||||
|
||||
if(image instanceof Buffer) {
|
||||
img.src = image
|
||||
}else{
|
||||
img.src = fs.readFileSync(image);
|
||||
}
|
||||
|
||||
} else {
|
||||
this.canvas = document.createElement('canvas');
|
||||
document.body.appendChild(this.canvas);
|
||||
var img = image;
|
||||
}
|
||||
|
||||
this.context = this.canvas.getContext('2d');
|
||||
|
||||
this.width = this.canvas.width = img.width;
|
||||
this.height = this.canvas.height = img.height;
|
||||
|
||||
this.context.drawImage(img, 0, 0, this.width, this.height);
|
||||
};
|
||||
|
||||
CanvasImage.prototype.clear = function () {
|
||||
this.context.clearRect(0, 0, this.width, this.height);
|
||||
};
|
||||
|
||||
CanvasImage.prototype.update = function (imageData) {
|
||||
this.context.putImageData(imageData, 0, 0);
|
||||
};
|
||||
|
||||
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 () {
|
||||
if (this.canvas.parentNode) {
|
||||
this.canvas.parentNode.removeChild(this.canvas);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
var ColorThief = function () {};
|
||||
|
||||
/*
|
||||
* getColor(sourceImage[, quality])
|
||||
* returns {r: num, g: num, b: num}
|
||||
*
|
||||
* Use the median cut algorithm provided by quantize.js to cluster similar
|
||||
* colors and return the base color from the largest cluster.
|
||||
*
|
||||
* 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
|
||||
* faster a color will be returned but the greater the likelihood that it will not be the visually
|
||||
* most dominant color.
|
||||
*
|
||||
* */
|
||||
ColorThief.prototype.getColor = function(sourceImage, quality, allowWhite) {
|
||||
// control if second parameter is allowWhite
|
||||
if (quality === true || quality === false) {
|
||||
allowWhite = quality;
|
||||
quality = undefined;
|
||||
}
|
||||
|
||||
var palette = this.getPalette(sourceImage, 5, quality, allowWhite);
|
||||
var dominantColor = palette[0];
|
||||
return dominantColor;
|
||||
};
|
||||
|
||||
|
||||
/*
|
||||
* getPalette(sourceImage[, colorCount, quality])
|
||||
* 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.
|
||||
*
|
||||
* colorCount determines the size of the palette; the number of colors returned. If not set, it
|
||||
* defaults to 10.
|
||||
*
|
||||
* BUGGY: Function does not always return the requested amount of colors. It can be +/- 2.
|
||||
*
|
||||
* 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
|
||||
* faster the palette generation but the greater the likelihood that colors will be missed.
|
||||
*
|
||||
*
|
||||
*/
|
||||
ColorThief.prototype.getPalette = function(sourceImage, colorCount, quality, allowWhite) {
|
||||
|
||||
if (typeof colorCount === 'undefined') {
|
||||
colorCount = 10;
|
||||
};
|
||||
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
|
||||
image.removeCanvas();
|
||||
|
||||
return palette;
|
||||
};
|
||||
|
||||
/*
|
||||
* 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.
|
||||
* Used by getPalette() and getColor()
|
||||
*
|
||||
*/
|
||||
ColorThief.prototype.getPaletteFromPixels = function(pixels, pixelCount, colorCount, quality, allowWhite) {
|
||||
|
||||
// Store the RGB values in an array format suitable for quantize function
|
||||
var pixelArray = [];
|
||||
for (var i = 0, offset, r, g, b, a; i < pixelCount; i = i + quality) {
|
||||
offset = i * 4;
|
||||
r = pixels[offset + 0];
|
||||
g = pixels[offset + 1];
|
||||
b = pixels[offset + 2];
|
||||
a = pixels[offset + 3];
|
||||
// If pixel is mostly opaque and not white
|
||||
if (a >= 125) {
|
||||
if ((!(r > 250 && g > 250 && b > 250) && allowWhite !== true) || (!(r > 255 && g > 255 && b > 255) && allowWhite === true )) {
|
||||
pixelArray.push([r, g, b]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Send array to quantize function which clusters values
|
||||
// using median cut algorithm
|
||||
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 = {
|
||||
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;
|
||||
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;
|
||||
}
|
||||
1
static/js/lib/iscroll-min.js
vendored
Executable file
1
static/js/lib/iscroll-min.js
vendored
Executable file
File diff suppressed because one or more lines are too long
2006
static/js/lib/iscroll.js
Executable file
2006
static/js/lib/iscroll.js
Executable file
File diff suppressed because it is too large
Load Diff
2
static/js/lib/lazyload-min.js
vendored
Executable file
2
static/js/lib/lazyload-min.js
vendored
Executable file
@@ -0,0 +1,2 @@
|
||||
/*! Lazy Load 1.9.3 - MIT license - Copyright 2010-2013 Mika Tuupola */
|
||||
!function(a,b,c,d){var e=a(b);a.fn.lazyload=function(f){function g(){var b=0;i.each(function(){var c=a(this);if(!j.skip_invisible||c.is(":visible"))if(a.abovethetop(this,j)||a.leftofbegin(this,j));else if(a.belowthefold(this,j)||a.rightoffold(this,j)){if(++b>j.failure_limit)return!1}else c.trigger("appear"),b=0})}var h,i=this,j={threshold:0,failure_limit:0,event:"scroll",effect:"show",container:b,data_attribute:"original",skip_invisible:!0,appear:null,load:null,placeholder:"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB/AAffA0nNPuCLAAAAAElFTkSuQmCC"};return f&&(d!==f.failurelimit&&(f.failure_limit=f.failurelimit,delete f.failurelimit),d!==f.effectspeed&&(f.effect_speed=f.effectspeed,delete f.effectspeed),a.extend(j,f)),h=j.container===d||j.container===b?e:a(j.container),0===j.event.indexOf("scroll")&&h.bind(j.event,function(){return g()}),this.each(function(){var b=this,c=a(b);b.loaded=!1,(c.attr("src")===d||c.attr("src")===!1)&&c.is("img")&&c.attr("src",j.placeholder),c.one("appear",function(){if(!this.loaded){if(j.appear){var d=i.length;j.appear.call(b,d,j)}a("<img />").bind("load",function(){var d=c.attr("data-"+j.data_attribute);c.hide(),c.is("img")?c.attr("src",d):c.css("background-image","url('"+d+"')"),c[j.effect](j.effect_speed),b.loaded=!0;var e=a.grep(i,function(a){return!a.loaded});if(i=a(e),j.load){var f=i.length;j.load.call(b,f,j)}}).attr("src",c.attr("data-"+j.data_attribute))}}),0!==j.event.indexOf("scroll")&&c.bind(j.event,function(){b.loaded||c.trigger("appear")})}),e.bind("resize",function(){g()}),/(?:iphone|ipod|ipad).*os 5/gi.test(navigator.appVersion)&&e.bind("pageshow",function(b){b.originalEvent&&b.originalEvent.persisted&&i.each(function(){a(this).trigger("appear")})}),a(c).ready(function(){g()}),this},a.belowthefold=function(c,f){var g;return g=f.container===d||f.container===b?(b.innerHeight?b.innerHeight:e.height())+e.scrollTop():a(f.container).offset().top+a(f.container).height(),g<=a(c).offset().top-f.threshold},a.rightoffold=function(c,f){var g;return g=f.container===d||f.container===b?e.width()+e.scrollLeft():a(f.container).offset().left+a(f.container).width(),g<=a(c).offset().left-f.threshold},a.abovethetop=function(c,f){var g;return g=f.container===d||f.container===b?e.scrollTop():a(f.container).offset().top,g>=a(c).offset().top+f.threshold+a(c).height()},a.leftofbegin=function(c,f){var g;return g=f.container===d||f.container===b?e.scrollLeft():a(f.container).offset().left,g>=a(c).offset().left+f.threshold+a(c).width()},a.inviewport=function(b,c){return!(a.rightoffold(b,c)||a.leftofbegin(b,c)||a.belowthefold(b,c)||a.abovethetop(b,c))},a.extend(a.expr[":"],{"below-the-fold":function(b){return a.belowthefold(b,{threshold:0})},"above-the-top":function(b){return!a.belowthefold(b,{threshold:0})},"right-of-screen":function(b){return a.rightoffold(b,{threshold:0})},"left-of-screen":function(b){return!a.rightoffold(b,{threshold:0})},"in-viewport":function(b){return a.inviewport(b,{threshold:0})},"above-the-fold":function(b){return!a.belowthefold(b,{threshold:0})},"right-of-fold":function(b){return a.rightoffold(b,{threshold:0})},"left-of-fold":function(b){return!a.rightoffold(b,{threshold:0})}})}(jQuery,window,document);
|
||||
6003
static/js/lib/materialize.js
vendored
Executable file
6003
static/js/lib/materialize.js
vendored
Executable file
File diff suppressed because one or more lines are too long
10
static/js/lib/materialize.min.js
vendored
Executable file
10
static/js/lib/materialize.min.js
vendored
Executable file
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