diff --git a/README.md b/README.md index cedfd3c..e920994 100644 --- a/README.md +++ b/README.md @@ -4,9 +4,15 @@ A script for grabbing the color palette from an image. Uses Javascript and the c [See a Demo](http://lokeshdhakar.com/projects/color-thief) | [Read more on my blog](http://lokeshdhakar.com/color-thief) - ## How to use +### Import + +- `/dist/color-thief.umd.js`: UMD module. For simple script tag loading that exposes a global variable or for RequireJS AMD support. +- `/dist/color-thief.js`: CommonJS module. Entry point for Node.js and Browserify. +- `/dist/color-thief.mjs`: ES6 module. For modern browsers as well as Webpack and Rollup. +- `/dist/color-thief.min.js`: Duplicate of `/dist/color-thief.umd.js`. Kept around to maintain backwards compatibility. + ### Get the dominant color from an image ```js diff --git a/build/build.js b/build/build.js index 1bdb399..faaa472 100644 --- a/build/build.js +++ b/build/build.js @@ -1,20 +1,23 @@ -const minify = require('@node-minify/core'); -const uglify = require('@node-minify/uglify-es'); +var fs = require('fs'); +const { resolve } = require('path'); -minify({ - compressor: uglify, - input: './src/color-thief.js', - output: './dist/color-thief.min.js', - options: { - output: { - comments: 'some' - } - }, - callback: function(err, min) { - if (err) { - console.log('⚠️ERROR:' + err); - } else { - console.log('✅ Minification completed'); - } - } +/* +color-thief.umd.js duplicated as color-thief.min.js for legacy support + +In Color Thief v2.1 <= there was one distribution file (dist/color-thief.min.js) +and it exposed a global variable ColorThief. Starting from v2.2, the package +includes multiple dist files for the various module systems. One of these is +the UMD format which falls back to a global variable if the requirejs AMD format +is not being used. This file is called color-thief.umd.js in the dist folder. We +want to keep supporting the previous users who were loading +dist/color-thief.min.js and expecting a global var. For this reason we're +duplicating the UMD compatible file and giving it that name. +*/ + +const source = resolve(process.cwd(), 'dist/color-thief.umd.js'); +const dest = resolve(process.cwd(), 'dist/color-thief.min.js'); + +fs.copyFile(source, dest, (err) => { + if (err) throw err; + console.log('source.txt was copied to destination.txt'); }); diff --git a/cypress/integration/api_spec.js b/cypress/integration/api_spec.js index 2d889c5..0b5b5f2 100644 --- a/cypress/integration/api_spec.js +++ b/cypress/integration/api_spec.js @@ -9,7 +9,7 @@ function rgbCount(text) { } describe('getColor()', function() { - beforeEach(function() { + before(function() { cy.visit('http://localhost:8080/cypress/test-pages/index.html'); }) diff --git a/cypress/integration/module_spec.js b/cypress/integration/module_spec.js new file mode 100644 index 0000000..9bf846f --- /dev/null +++ b/cypress/integration/module_spec.js @@ -0,0 +1,9 @@ +describe('es6 module', function() { + it('loads', function() { + cy.visit('http://localhost:8080/cypress/test-pages/es6-module.html'); + cy.get('#result').should(($el) => { + const count = $el.text().split(',').length + expect(count).to.equal(3); + }); + }) +}); diff --git a/cypress/test-pages/es6-module.html b/cypress/test-pages/es6-module.html new file mode 100644 index 0000000..c0101b7 --- /dev/null +++ b/cypress/test-pages/es6-module.html @@ -0,0 +1,39 @@ + + + + + + Color Thief + + + + + + +
+ + + + + + diff --git a/cypress/test-pages/index.html b/cypress/test-pages/index.html index 9d7a3a5..12dc340 100644 --- a/cypress/test-pages/index.html +++ b/cypress/test-pages/index.html @@ -49,7 +49,7 @@ - + diff --git a/cypress/test-pages/index.js b/cypress/test-pages/index.js index 11f8acb..b467c40 100644 --- a/cypress/test-pages/index.js +++ b/cypress/test-pages/index.js @@ -1,5 +1,6 @@ var colorThief = new ColorThief(); + var images = [ 'black.png', 'red.png', diff --git a/dist/color-thief.js b/dist/color-thief.js new file mode 100644 index 0000000..c4781b0 --- /dev/null +++ b/dist/color-thief.js @@ -0,0 +1,2 @@ +var t=function(t){this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d"),this.width=this.canvas.width=t.width,this.height=this.canvas.height=t.height,this.context.drawImage(t,0,0,this.width,this.height)};t.prototype.getPixelCount=function(){return this.width*this.height},t.prototype.getImageData=function(){return this.context.getImageData(0,0,this.width,this.height)};var r=function(){};if(r.prototype.getColor=function(t,r){return this.getPalette(t,5,r)[0]},r.prototype.getPalette=function(r,n,e){(void 0===n||n<2||n>256)&&(n=10),(void 0===e||e<1)&&(e=10);for(var i,u,s,a,h=new t(r),c=h.getImageData().data,f=h.getPixelCount(),v=[],p=0;p=125&&(u>250&&s>250&&a>250||v.push([u,s,a]));var g=o.quantize(v,n);return g?g.palette():null},r.prototype.getColorFromUrl=function(t,r,n){var o=document.createElement("img"),e=this;o.addEventListener("load",function(){var i=e.getPalette(o,5,n);r(i[0],t)}),o.src=t},r.prototype.getImageData=function(t,r){var n=new XMLHttpRequest;n.open("GET",t,!0),n.responseType="arraybuffer",n.onload=function(){if(200==this.status){var t=new Uint8Array(this.response);o=t.length;for(var n=new Array(o),o=0;or?1:0},sum:function(t,r){var n={};return t.reduce(r?function(t,o,e){return n.index=e,t+r.call(n,o)}:function(t,r){return t+r},0)},max:function(t,r){return Math.max.apply(null,r?n.map(t,r):t)}};var o=function(){var t=5,r=8-t,o=1e3;function e(r,n,o){return(r<<2*t)+(n<f/2){for(e=r.copy(),i=r.copy(),u=(n=s-r[a])<=(o=r[h]-s)?Math.min(r[h]-1,~~(s+o/2)):Math.max(r[a],~~(s-1-n/2));!v[u];)u++;for(c=p[u];!c&&v[u-1];)c=p[--u];return e[h]=u,i[a]=e[h]+1,[e,i]}}(u==o?"r":u==i?"g":"b")}}return u.prototype={volume:function(t){return this._volume&&!t||(this._volume=(this.r2-this.r1+1)*(this.g2-this.g1+1)*(this.b2-this.b1+1)),this._volume},count:function(t){var r=this.histo;if(!this._count_set||t){var n,o,i,u=0;for(n=this.r1;n<=this.r2;n++)for(o=this.g1;o<=this.g2;o++)for(i=this.b1;i<=this.b2;i++)u+=r[e(n,o,i)]||0;this._count=u,this._count_set=!0}return this._count},copy:function(){return new u(this.r1,this.r2,this.g1,this.g2,this.b1,this.b2,this.histo)},avg:function(r){var n=this.histo;if(!this._avg||r){var o,i,u,s,a=0,h=1<<8-t,c=0,f=0,v=0;for(i=this.r1;i<=this.r2;i++)for(u=this.g1;u<=this.g2;u++)for(s=this.b1;s<=this.b2;s++)a+=o=n[e(i,u,s)]||0,c+=o*(i+.5)*h,f+=o*(u+.5)*h,v+=o*(s+.5)*h;this._avg=a?[~~(c/a),~~(f/a),~~(v/a)]:[~~(h*(this.r1+this.r2+1)/2),~~(h*(this.g1+this.g2+1)/2),~~(h*(this.b1+this.b2+1)/2)]}return this._avg},contains:function(t){var n=t[0]>>r,o=t[1]>>r,e=t[2]>>r;return n>=this.r1&&n<=this.r2&&o>=this.g1&&o<=this.g2&&e>=this.b1&&e<=this.b2}},s.prototype={push:function(t){this.vboxes.push({vbox:t,color:t.avg()})},palette:function(){return this.vboxes.map(function(t){return t.color})},size:function(){return this.vboxes.size()},map:function(t){for(var r=this.vboxes,n=0;n251&&e[1]>251&&e[2]>251&&(t[o].color=[255,255,255])}},{quantize:function(h,c){if(!h.length||c<2||c>256)return!1;var f=function(n){var o,i=new Array(1<<3*t);return n.forEach(function(t){o=e(t[0]>>r,t[1]>>r,t[2]>>r),i[o]=(i[o]||0)+1}),i}(h);f.forEach(function(){});var v=function(t,n){var o,e,i,s=1e6,a=0,h=1e6,c=0,f=1e6,v=0;return t.forEach(function(t){(o=t[0]>>r)a&&(a=o),(e=t[1]>>r)c&&(c=e),(i=t[2]>>r)v&&(v=i)}),new u(s,a,h,c,f,v,n)}(h,f),p=new i(function(t,r){return n.naturalOrder(t.count(),r.count())});function g(t,r){for(var n,e=1,i=0;i=r)return;if(i++>o)return}else t.push(n),i++}p.push(v),g(p,.75*c);for(var l=new i(function(t,r){return n.naturalOrder(t.count()*t.volume(),r.count()*r.volume())});p.size();)l.push(p.pop());g(l,c-l.size());for(var b=new s;l.size();)b.push(l.pop());return b}}}();module.exports=r; +//# sourceMappingURL=color-thief.js.map diff --git a/dist/color-thief.js.map b/dist/color-thief.js.map new file mode 100644 index 0000000..d6e5ac4 --- /dev/null +++ b/dist/color-thief.js.map @@ -0,0 +1 @@ +{"version":3,"file":"color-thief.js","sources":["../src/color-thief.js"],"sourcesContent":["/*\n * Color Thief v3.0.0\n * by Lokesh Dhakar - http://www.lokeshdhakar.com\n *\n * Thanks\n * ------\n * Nick Rabinowitz - For creating quantize.js.\n * John Schulz - For clean up and optimization. @JFSIII\n * Nathan Spady - For adding drag and drop support to the demo page.\n *\n * License\n * -------\n * Copyright Lokesh Dhakar\n * Released under the MIT license\n * https://raw.githubusercontent.com/lokesh/color-thief/master/LICENSE\n *\n * @license\n */\n\n\n/*\n CanvasImage Class\n Class that wraps the html image element and canvas.\n It also simplifies some of the canvas context manipulation\n with a set of helper functions.\n*/\n\nvar CanvasImage = function (image) {\n this.canvas = document.createElement('canvas');\n this.context = this.canvas.getContext('2d');\n\n this.width = this.canvas.width = image.width;\n this.height = this.canvas.height = image.height;\n\n this.context.drawImage(image, 0, 0, this.width, this.height);\n};\n\nCanvasImage.prototype.getPixelCount = function () {\n return this.width * this.height;\n};\n\nCanvasImage.prototype.getImageData = function () {\n return this.context.getImageData(0, 0, this.width, this.height);\n};\n\nvar ColorThief = function () {};\n\n/*\n * getColor(sourceImage[, quality])\n * returns {r: num, g: num, b: num}\n *\n * Use the median cut algorithm provided by quantize.js to cluster similar\n * colors and return the base color from the largest cluster.\n *\n * Quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.\n * 10 is the default. There is a trade-off between quality and speed. The bigger the number, the\n * faster a color will be returned but the greater the likelihood that it will not be the visually\n * most dominant color.\n *\n * */\nColorThief.prototype.getColor = function(sourceImage, quality) {\n var palette = this.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n return dominantColor;\n};\n\n\n/*\n * getPalette(sourceImage[, colorCount, quality])\n * returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]\n *\n * Use the median cut algorithm provided by quantize.js to cluster similar colors.\n *\n * colorCount determines the size of the palette; the number of colors returned. If not set, it\n * defaults to 10.\n *\n * BUGGY: Function does not always return the requested amount of colors. It can be +/- 2.\n *\n * quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.\n * 10 is the default. There is a trade-off between quality and speed. The bigger the number, the\n * faster the palette generation but the greater the likelihood that colors will be missed.\n *\n *\n */\nColorThief.prototype.getPalette = function(sourceImage, colorCount, quality) {\n\n if (typeof colorCount === 'undefined' || colorCount < 2 || colorCount > 256) {\n colorCount = 10;\n }\n if (typeof quality === 'undefined' || quality < 1) {\n quality = 10;\n }\n\n // Create custom CanvasImage object\n var image = new CanvasImage(sourceImage);\n var imageData = image.getImageData();\n var pixels = imageData.data;\n var pixelCount = image.getPixelCount();\n\n // Store the RGB values in an array format suitable for quantize function\n var pixelArray = [];\n for (var i = 0, offset, r, g, b, a; i < pixelCount; i = i + quality) {\n offset = i * 4;\n r = pixels[offset + 0];\n g = pixels[offset + 1];\n b = pixels[offset + 2];\n a = pixels[offset + 3];\n // If pixel is mostly opaque and not white\n if (a >= 125) {\n if (!(r > 250 && g > 250 && b > 250)) {\n pixelArray.push([r, g, b]);\n }\n }\n }\n\n // Send array to quantize function which clusters values\n // using median cut algorithm\n var cmap = MMCQ.quantize(pixelArray, colorCount);\n var palette = cmap? cmap.palette() : null;\n\n return palette;\n};\n\nColorThief.prototype.getColorFromUrl = function(imageUrl, callback, quality) {\n let sourceImage = document.createElement(\"img\");\n var thief = this;\n sourceImage.addEventListener('load' , function(){\n var palette = thief.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n callback(dominantColor, imageUrl);\n });\n sourceImage.src = imageUrl\n};\n\n\nColorThief.prototype.getImageData = function(imageUrl, callback) {\n let xhr = new XMLHttpRequest();\n xhr.open('GET', imageUrl, true);\n xhr.responseType = 'arraybuffer'\n xhr.onload = function() {\n if (this.status == 200) {\n let uInt8Array = new Uint8Array(this.response)\n i = uInt8Array.length\n let binaryString = new Array(i);\n for (var i = 0; i < uInt8Array.length; i++){\n binaryString[i] = String.fromCharCode(uInt8Array[i])\n }\n let data = binaryString.join('')\n let base64 = window.btoa(data)\n callback (\"data:image/png;base64,\"+base64)\n }\n }\n xhr.send();\n};\n\nColorThief.prototype.getColorAsync = function(imageUrl, callback, quality) {\n var thief = this;\n this.getImageData(imageUrl, function(imageData){\n let sourceImage = document.createElement(\"img\");\n sourceImage.addEventListener('load' , function(){\n var palette = thief.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n callback(dominantColor, this);\n });\n sourceImage.src = imageData;\n });\n};\n\n\n\n/*!\n * quantize.js Copyright 2008 Nick Rabinowitz.\n * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php\n * @license\n */\n\n// fill out a couple protovis dependencies\n/*!\n * Block below copied from Protovis: http://mbostock.github.com/protovis/\n * Copyright 2010 Stanford Visualization Group\n * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php\n * @license\n */\nif (!pv) {\n var pv = {\n map: function(array, f) {\n var o = {};\n return f ? array.map(function(d, i) { o.index = i; return f.call(o, d); }) : array.slice();\n },\n naturalOrder: function(a, b) {\n return (a < b) ? -1 : ((a > b) ? 1 : 0);\n },\n sum: function(array, f) {\n var o = {};\n return array.reduce(f ? function(p, d, i) { o.index = i; return p + f.call(o, d); } : function(p, d) { return p + d; }, 0);\n },\n max: function(array, f) {\n return Math.max.apply(null, f ? pv.map(array, f) : array);\n }\n };\n}\n\n\n\n/**\n * Basic Javascript port of the MMCQ (modified median cut quantization)\n * algorithm from the Leptonica library (http://www.leptonica.com/).\n * Returns a color map you can use to map original pixels to the reduced\n * palette. Still a work in progress.\n *\n * @author Nick Rabinowitz\n * @example\n\n// array of pixels as [R,G,B] arrays\nvar myPixels = [[190,197,190], [202,204,200], [207,214,210], [211,214,211], [205,207,207]\n // etc\n ];\nvar maxColors = 4;\n\nvar cmap = MMCQ.quantize(myPixels, maxColors);\nvar newPalette = cmap.palette();\nvar newPixels = myPixels.map(function(p) {\n return cmap.map(p);\n});\n\n */\nvar MMCQ = (function() {\n // private constants\n var sigbits = 5;\n var rshift = 8 - sigbits;\n var maxIterations = 1000;\n var fractByPopulations = 0.75;\n\n // get reduced-space color index for a pixel\n function getColorIndex(r, g, b) {\n return (r << (2 * sigbits)) + (g << sigbits) + b;\n }\n\n // Simple priority queue\n function PQueue(comparator) {\n var contents = [];\n var sorted = false;\n\n function sort() {\n contents.sort(comparator);\n sorted = true;\n }\n\n return {\n push: function(o) {\n contents.push(o);\n sorted = false;\n },\n peek: function(index) {\n if (!sorted) sort();\n if (index===undefined) index = contents.length - 1;\n return contents[index];\n },\n pop: function() {\n if (!sorted) sort();\n return contents.pop();\n },\n size: function() {\n return contents.length;\n },\n map: function(f) {\n return contents.map(f);\n },\n debug: function() {\n if (!sorted) sort();\n return contents;\n }\n };\n }\n\n // 3d color space box\n function VBox(r1, r2, g1, g2, b1, b2, histo) {\n var vbox = this;\n vbox.r1 = r1;\n vbox.r2 = r2;\n vbox.g1 = g1;\n vbox.g2 = g2;\n vbox.b1 = b1;\n vbox.b2 = b2;\n vbox.histo = histo;\n }\n VBox.prototype = {\n volume: function(force) {\n var vbox = this;\n if (!vbox._volume || force) {\n vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1));\n }\n return vbox._volume;\n },\n count: function(force) {\n var vbox = this;\n var histo = vbox.histo;\n if (!vbox._count_set || force) {\n var npix = 0;\n var index; var i; var j; var k;\n for (i = vbox.r1; i <= vbox.r2; i++) {\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(i,j,k);\n npix += (histo[index] || 0);\n }\n }\n }\n vbox._count = npix;\n vbox._count_set = true;\n }\n return vbox._count;\n },\n copy: function() {\n var vbox = this;\n return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo);\n },\n avg: function(force) {\n var vbox = this;\n var histo = vbox.histo;\n if (!vbox._avg || force) {\n var ntot = 0;\n var mult = 1 << (8 - sigbits);\n var rsum = 0;\n var gsum = 0;\n var bsum = 0;\n var hval;\n var i, j, k;\n var histoindex;\n for (i = vbox.r1; i <= vbox.r2; i++) {\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n histoindex = getColorIndex(i,j,k);\n hval = histo[histoindex] || 0;\n ntot += hval;\n rsum += (hval * (i + 0.5) * mult);\n gsum += (hval * (j + 0.5) * mult);\n bsum += (hval * (k + 0.5) * mult);\n }\n }\n }\n if (ntot) {\n vbox._avg = [~~(rsum/ntot), ~~(gsum/ntot), ~~(bsum/ntot)];\n } else {\n // console.log('empty box');\n vbox._avg = [\n ~~(mult * (vbox.r1 + vbox.r2 + 1) / 2),\n ~~(mult * (vbox.g1 + vbox.g2 + 1) / 2),\n ~~(mult * (vbox.b1 + vbox.b2 + 1) / 2)\n ];\n }\n }\n return vbox._avg;\n },\n contains: function(pixel) {\n var vbox = this;\n var rval = pixel[0] >> rshift;\n var gval = pixel[1] >> rshift;\n var bval = pixel[2] >> rshift;\n return (rval >= vbox.r1 && rval <= vbox.r2 &&\n gval >= vbox.g1 && gval <= vbox.g2 &&\n bval >= vbox.b1 && bval <= vbox.b2);\n }\n };\n\n // Color map\n function CMap() {\n this.vboxes = new PQueue(function(a,b) {\n return pv.naturalOrder(\n a.vbox.count()*a.vbox.volume(),\n b.vbox.count()*b.vbox.volume()\n );\n });\n }\n CMap.prototype = {\n push: function(vbox) {\n this.vboxes.push({\n vbox: vbox,\n color: vbox.avg()\n });\n },\n palette: function() {\n return this.vboxes.map(function(vb) { return vb.color; });\n },\n size: function() {\n return this.vboxes.size();\n },\n map: function(color) {\n var vboxes = this.vboxes;\n for (var i=0; i 251\n var idx = vboxes.length-1;\n var highest = vboxes[idx].color;\n if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251)\n vboxes[idx].color = [255,255,255];\n }\n };\n\n // histo (1-d array, giving the number of pixels in\n // each quantized region of color space), or null on error\n function getHisto(pixels) {\n var histosize = 1 << (3 * sigbits);\n var histo = new Array(histosize);\n var index; var rval; var gval; var bval;\n pixels.forEach(function(pixel) {\n rval = pixel[0] >> rshift;\n gval = pixel[1] >> rshift;\n bval = pixel[2] >> rshift;\n index = getColorIndex(rval, gval, bval);\n histo[index] = (histo[index] || 0) + 1;\n });\n return histo;\n }\n\n function vboxFromPixels(pixels, histo) {\n var rmin=1000000; var rmax=0;\n var gmin=1000000; var gmax=0;\n var bmin=1000000; var bmax=0;\n var rval; var gval; var bval;\n // find min/max\n pixels.forEach(function(pixel) {\n rval = pixel[0] >> rshift;\n gval = pixel[1] >> rshift;\n bval = pixel[2] >> rshift;\n if (rval < rmin) rmin = rval;\n else if (rval > rmax) rmax = rval;\n if (gval < gmin) gmin = gval;\n else if (gval > gmax) gmax = gval;\n if (bval < bmin) bmin = bval;\n else if (bval > bmax) bmax = bval;\n });\n return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo);\n }\n\n function medianCutApply(histo, vbox) {\n if (!vbox.count()) return;\n\n var rw = vbox.r2 - vbox.r1 + 1;\n var gw = vbox.g2 - vbox.g1 + 1;\n var bw = vbox.b2 - vbox.b1 + 1;\n var maxw = pv.max([rw, gw, bw]);\n // only one pixel, no split\n if (vbox.count() == 1) {\n return [vbox.copy()];\n }\n /* Find the partial sum arrays along the selected axis. */\n var total = 0;\n var partialsum = [];\n var lookaheadsum = [];\n var i; var j; var k; var sum; var index;\n if (maxw == rw) {\n for (i = vbox.r1; i <= vbox.r2; i++) {\n sum = 0;\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(i,j,k);\n sum += (histo[index] || 0);\n }\n }\n total += sum;\n 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return;\n }\n }\n }\n\n // first set of colors, sorted by population\n iter(pq, fractByPopulations * maxcolors);\n\n // Re-sort by the product of pixel occupancy times the size in color space.\n var pq2 = new PQueue(function(a,b) {\n return pv.naturalOrder(a.count()*a.volume(), b.count()*b.volume());\n });\n while (pq.size()) {\n pq2.push(pq.pop());\n }\n\n // next set - generate the median cuts using the (npix * vol) sorting.\n iter(pq2, maxcolors - pq2.size());\n\n // calculate the actual colors\n var cmap = new CMap();\n while (pq2.size()) {\n cmap.push(pq2.pop());\n }\n\n return cmap;\n }\n\n return {\n quantize: quantize\n };\n})();\n\nexport default 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\ No newline at end of file diff --git a/dist/color-thief.min.js b/dist/color-thief.min.js index 69f309c..639a7a7 100644 --- a/dist/color-thief.min.js +++ b/dist/color-thief.min.js @@ -1,31 +1,2 @@ -/* - * Color Thief v2.1.0 - * by Lokesh Dhakar - http://www.lokeshdhakar.com - * - * 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. - * - * License - * ------- - * Copyright Lokesh Dhakar - * Released under the MIT license - * https://raw.githubusercontent.com/lokesh/color-thief/master/LICENSE - * - * @license - */ -var CanvasImage=function(t){this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d"),this.width=this.canvas.width=t.width,this.height=this.canvas.height=t.height,this.context.drawImage(t,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)};var ColorThief=function(){}; -/*! - * quantize.js Copyright 2008 Nick Rabinowitz. - * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php - * @license - */ -/*! - * 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 - * @license - */ -if(ColorThief.prototype.getColor=function(t,r){return this.getPalette(t,5,r)[0]},ColorThief.prototype.getPalette=function(t,r,n){(void 0===r||r<2||r>256)&&(r=10),(void 0===n||n<1)&&(n=10);for(var e,o,i,u,s=new CanvasImage(t),a=s.getImageData().data,h=s.getPixelCount(),c=[],f=0;f=125&&(o>250&&i>250&&u>250||c.push([o,i,u]));var v=MMCQ.quantize(c,r);return v?v.palette():null},ColorThief.prototype.getColorFromUrl=function(t,r,n){let e=document.createElement("img");var o=this;e.addEventListener("load",function(){var i=o.getPalette(e,5,n)[0];r(i,t)}),e.src=t},ColorThief.prototype.getImageData=function(t,r){let n=new XMLHttpRequest;n.open("GET",t,!0),n.responseType="arraybuffer",n.onload=function(){if(200==this.status){let n=new Uint8Array(this.response);t=n.length;let e=new Array(t);for(var t=0;tr?1:0},sum:function(t,r){var n={};return t.reduce(r?function(t,e,o){return n.index=o,t+r.call(n,e)}:function(t,r){return t+r},0)},max:function(t,r){return Math.max.apply(null,r?pv.map(t,r):t)}};var MMCQ=function(){var t=5,r=8-t,n=1e3,e=.75;function o(r,n,e){return(r<<2*t)+(n<f/2){for(o=r.copy(),i=r.copy(),u=(n=s-r[a])<=(e=r[h]-s)?Math.min(r[h]-1,~~(s+e/2)):Math.max(r[a],~~(s-1-n/2));!v[u];)u++;for(c=p[u];!c&&v[u-1];)c=p[--u];return o[h]=u,i[a]=o[h]+1,[o,i]}}}return u.prototype={volume:function(t){return this._volume&&!t||(this._volume=(this.r2-this.r1+1)*(this.g2-this.g1+1)*(this.b2-this.b1+1)),this._volume},count:function(t){var r=this.histo;if(!this._count_set||t){var n,e,i,u=0;for(n=this.r1;n<=this.r2;n++)for(e=this.g1;e<=this.g2;e++)for(i=this.b1;i<=this.b2;i++)u+=r[o(n,e,i)]||0;this._count=u,this._count_set=!0}return this._count},copy:function(){return new u(this.r1,this.r2,this.g1,this.g2,this.b1,this.b2,this.histo)},avg:function(r){var n=this.histo;if(!this._avg||r){var e,i,u,s,a=0,h=1<<8-t,c=0,f=0,v=0;for(i=this.r1;i<=this.r2;i++)for(u=this.g1;u<=this.g2;u++)for(s=this.b1;s<=this.b2;s++)a+=e=n[o(i,u,s)]||0,c+=e*(i+.5)*h,f+=e*(u+.5)*h,v+=e*(s+.5)*h;this._avg=a?[~~(c/a),~~(f/a),~~(v/a)]:[~~(h*(this.r1+this.r2+1)/2),~~(h*(this.g1+this.g2+1)/2),~~(h*(this.b1+this.b2+1)/2)]}return this._avg},contains:function(t){var n=t[0]>>r,e=t[1]>>r,o=t[2]>>r;return n>=this.r1&&n<=this.r2&&e>=this.g1&&e<=this.g2&&o>=this.b1&&o<=this.b2}},s.prototype={push:function(t){this.vboxes.push({vbox:t,color:t.avg()})},palette:function(){return this.vboxes.map(function(t){return t.color})},size:function(){return this.vboxes.size()},map:function(t){for(var r=this.vboxes,n=0;n251&&e[1]>251&&e[2]>251&&(t[n].color=[255,255,255])}},{quantize:function(h,c){if(!h.length||c<2||c>256)return!1;var f=function(n){var e,i,u,s,a=new Array(1<<3*t);return n.forEach(function(t){i=t[0]>>r,u=t[1]>>r,s=t[2]>>r,e=o(i,u,s),a[e]=(a[e]||0)+1}),a}(h);f.forEach(function(){});var v=function(t,n){var e,o,i,s=1e6,a=0,h=1e6,c=0,f=1e6,v=0;return t.forEach(function(t){e=t[0]>>r,o=t[1]>>r,i=t[2]>>r,ea&&(a=e),oc&&(c=o),iv&&(v=i)}),new u(s,a,h,c,f,v,n)}(h,f),p=new i(function(t,r){return pv.naturalOrder(t.count(),r.count())});function l(t,r){for(var e,o=1,i=0;i=r)return;if(i++>n)return}else t.push(e),i++}p.push(v),l(p,e*c);for(var g=new i(function(t,r){return pv.naturalOrder(t.count()*t.volume(),r.count()*r.volume())});p.size();)g.push(p.pop());l(g,c-g.size());for(var m=new s;g.size();)m.push(g.pop());return m}}}(); \ No newline at end of file +!function(t,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define(r):t.ColorThief=r()}(this,function(){var t=function(t){this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d"),this.width=this.canvas.width=t.width,this.height=this.canvas.height=t.height,this.context.drawImage(t,0,0,this.width,this.height)};t.prototype.getPixelCount=function(){return this.width*this.height},t.prototype.getImageData=function(){return this.context.getImageData(0,0,this.width,this.height)};var r=function(){};if(r.prototype.getColor=function(t,r){return this.getPalette(t,5,r)[0]},r.prototype.getPalette=function(r,n,o){(void 0===n||n<2||n>256)&&(n=10),(void 0===o||o<1)&&(o=10);for(var i,u,s,a,h=new t(r),c=h.getImageData().data,f=h.getPixelCount(),v=[],p=0;p=125&&(u>250&&s>250&&a>250||v.push([u,s,a]));var g=e.quantize(v,n);return g?g.palette():null},r.prototype.getColorFromUrl=function(t,r,n){var e=document.createElement("img"),o=this;e.addEventListener("load",function(){var i=o.getPalette(e,5,n);r(i[0],t)}),e.src=t},r.prototype.getImageData=function(t,r){var n=new XMLHttpRequest;n.open("GET",t,!0),n.responseType="arraybuffer",n.onload=function(){if(200==this.status){var t=new Uint8Array(this.response);e=t.length;for(var n=new Array(e),e=0;er?1:0},sum:function(t,r){var n={};return t.reduce(r?function(t,e,o){return n.index=o,t+r.call(n,e)}:function(t,r){return t+r},0)},max:function(t,r){return Math.max.apply(null,r?n.map(t,r):t)}};var e=function(){var t=5,r=8-t,e=1e3;function o(r,n,e){return(r<<2*t)+(n<f/2){for(o=r.copy(),i=r.copy(),u=(n=s-r[a])<=(e=r[h]-s)?Math.min(r[h]-1,~~(s+e/2)):Math.max(r[a],~~(s-1-n/2));!v[u];)u++;for(c=p[u];!c&&v[u-1];)c=p[--u];return o[h]=u,i[a]=o[h]+1,[o,i]}}(u==e?"r":u==i?"g":"b")}}return u.prototype={volume:function(t){return this._volume&&!t||(this._volume=(this.r2-this.r1+1)*(this.g2-this.g1+1)*(this.b2-this.b1+1)),this._volume},count:function(t){var r=this.histo;if(!this._count_set||t){var n,e,i,u=0;for(n=this.r1;n<=this.r2;n++)for(e=this.g1;e<=this.g2;e++)for(i=this.b1;i<=this.b2;i++)u+=r[o(n,e,i)]||0;this._count=u,this._count_set=!0}return this._count},copy:function(){return new u(this.r1,this.r2,this.g1,this.g2,this.b1,this.b2,this.histo)},avg:function(r){var n=this.histo;if(!this._avg||r){var e,i,u,s,a=0,h=1<<8-t,c=0,f=0,v=0;for(i=this.r1;i<=this.r2;i++)for(u=this.g1;u<=this.g2;u++)for(s=this.b1;s<=this.b2;s++)a+=e=n[o(i,u,s)]||0,c+=e*(i+.5)*h,f+=e*(u+.5)*h,v+=e*(s+.5)*h;this._avg=a?[~~(c/a),~~(f/a),~~(v/a)]:[~~(h*(this.r1+this.r2+1)/2),~~(h*(this.g1+this.g2+1)/2),~~(h*(this.b1+this.b2+1)/2)]}return this._avg},contains:function(t){var n=t[0]>>r,e=t[1]>>r,o=t[2]>>r;return n>=this.r1&&n<=this.r2&&e>=this.g1&&e<=this.g2&&o>=this.b1&&o<=this.b2}},s.prototype={push:function(t){this.vboxes.push({vbox:t,color:t.avg()})},palette:function(){return this.vboxes.map(function(t){return t.color})},size:function(){return this.vboxes.size()},map:function(t){for(var r=this.vboxes,n=0;n251&&o[1]>251&&o[2]>251&&(t[e].color=[255,255,255])}},{quantize:function(h,c){if(!h.length||c<2||c>256)return!1;var f=function(n){var e,i=new Array(1<<3*t);return n.forEach(function(t){e=o(t[0]>>r,t[1]>>r,t[2]>>r),i[e]=(i[e]||0)+1}),i}(h);f.forEach(function(){});var v=function(t,n){var e,o,i,s=1e6,a=0,h=1e6,c=0,f=1e6,v=0;return t.forEach(function(t){(e=t[0]>>r)a&&(a=e),(o=t[1]>>r)c&&(c=o),(i=t[2]>>r)v&&(v=i)}),new u(s,a,h,c,f,v,n)}(h,f),p=new i(function(t,r){return n.naturalOrder(t.count(),r.count())});function g(t,r){for(var n,o=1,i=0;i=r)return;if(i++>e)return}else t.push(n),i++}p.push(v),g(p,.75*c);for(var l=new i(function(t,r){return n.naturalOrder(t.count()*t.volume(),r.count()*r.volume())});p.size();)l.push(p.pop());g(l,c-l.size());for(var d=new s;l.size();)d.push(l.pop());return d}}}();return r}); +//# sourceMappingURL=color-thief.umd.js.map diff --git a/dist/color-thief.mjs b/dist/color-thief.mjs new file mode 100644 index 0000000..2080439 --- /dev/null +++ b/dist/color-thief.mjs @@ -0,0 +1,2 @@ +var t=function(t){this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d"),this.width=this.canvas.width=t.width,this.height=this.canvas.height=t.height,this.context.drawImage(t,0,0,this.width,this.height)};t.prototype.getPixelCount=function(){return this.width*this.height},t.prototype.getImageData=function(){return this.context.getImageData(0,0,this.width,this.height)};var r=function(){};if(r.prototype.getColor=function(t,r){return this.getPalette(t,5,r)[0]},r.prototype.getPalette=function(r,n,e){(void 0===n||n<2||n>256)&&(n=10),(void 0===e||e<1)&&(e=10);for(var i,u,s,a,h=new t(r),c=h.getImageData().data,f=h.getPixelCount(),v=[],p=0;p=125&&(u>250&&s>250&&a>250||v.push([u,s,a]));var g=o.quantize(v,n);return g?g.palette():null},r.prototype.getColorFromUrl=function(t,r,n){var o=document.createElement("img"),e=this;o.addEventListener("load",function(){var i=e.getPalette(o,5,n);r(i[0],t)}),o.src=t},r.prototype.getImageData=function(t,r){var n=new XMLHttpRequest;n.open("GET",t,!0),n.responseType="arraybuffer",n.onload=function(){if(200==this.status){var t=new Uint8Array(this.response);o=t.length;for(var n=new Array(o),o=0;or?1:0},sum:function(t,r){var n={};return t.reduce(r?function(t,o,e){return n.index=e,t+r.call(n,o)}:function(t,r){return t+r},0)},max:function(t,r){return Math.max.apply(null,r?n.map(t,r):t)}};var o=function(){var t=5,r=8-t,o=1e3;function e(r,n,o){return(r<<2*t)+(n<f/2){for(e=r.copy(),i=r.copy(),u=(n=s-r[a])<=(o=r[h]-s)?Math.min(r[h]-1,~~(s+o/2)):Math.max(r[a],~~(s-1-n/2));!v[u];)u++;for(c=p[u];!c&&v[u-1];)c=p[--u];return e[h]=u,i[a]=e[h]+1,[e,i]}}(u==o?"r":u==i?"g":"b")}}return u.prototype={volume:function(t){return this._volume&&!t||(this._volume=(this.r2-this.r1+1)*(this.g2-this.g1+1)*(this.b2-this.b1+1)),this._volume},count:function(t){var r=this.histo;if(!this._count_set||t){var n,o,i,u=0;for(n=this.r1;n<=this.r2;n++)for(o=this.g1;o<=this.g2;o++)for(i=this.b1;i<=this.b2;i++)u+=r[e(n,o,i)]||0;this._count=u,this._count_set=!0}return this._count},copy:function(){return new u(this.r1,this.r2,this.g1,this.g2,this.b1,this.b2,this.histo)},avg:function(r){var n=this.histo;if(!this._avg||r){var o,i,u,s,a=0,h=1<<8-t,c=0,f=0,v=0;for(i=this.r1;i<=this.r2;i++)for(u=this.g1;u<=this.g2;u++)for(s=this.b1;s<=this.b2;s++)a+=o=n[e(i,u,s)]||0,c+=o*(i+.5)*h,f+=o*(u+.5)*h,v+=o*(s+.5)*h;this._avg=a?[~~(c/a),~~(f/a),~~(v/a)]:[~~(h*(this.r1+this.r2+1)/2),~~(h*(this.g1+this.g2+1)/2),~~(h*(this.b1+this.b2+1)/2)]}return this._avg},contains:function(t){var n=t[0]>>r,o=t[1]>>r,e=t[2]>>r;return n>=this.r1&&n<=this.r2&&o>=this.g1&&o<=this.g2&&e>=this.b1&&e<=this.b2}},s.prototype={push:function(t){this.vboxes.push({vbox:t,color:t.avg()})},palette:function(){return this.vboxes.map(function(t){return t.color})},size:function(){return this.vboxes.size()},map:function(t){for(var r=this.vboxes,n=0;n251&&e[1]>251&&e[2]>251&&(t[o].color=[255,255,255])}},{quantize:function(h,c){if(!h.length||c<2||c>256)return!1;var f=function(n){var o,i=new Array(1<<3*t);return n.forEach(function(t){o=e(t[0]>>r,t[1]>>r,t[2]>>r),i[o]=(i[o]||0)+1}),i}(h);f.forEach(function(){});var v=function(t,n){var o,e,i,s=1e6,a=0,h=1e6,c=0,f=1e6,v=0;return t.forEach(function(t){(o=t[0]>>r)a&&(a=o),(e=t[1]>>r)c&&(c=e),(i=t[2]>>r)v&&(v=i)}),new u(s,a,h,c,f,v,n)}(h,f),p=new i(function(t,r){return n.naturalOrder(t.count(),r.count())});function g(t,r){for(var n,e=1,i=0;i=r)return;if(i++>o)return}else t.push(n),i++}p.push(v),g(p,.75*c);for(var l=new i(function(t,r){return n.naturalOrder(t.count()*t.volume(),r.count()*r.volume())});p.size();)l.push(p.pop());g(l,c-l.size());for(var b=new s;l.size();)b.push(l.pop());return b}}}();export default r; +//# sourceMappingURL=color-thief.mjs.map diff --git a/dist/color-thief.mjs.map b/dist/color-thief.mjs.map new file mode 100644 index 0000000..800bee8 --- /dev/null +++ b/dist/color-thief.mjs.map @@ -0,0 +1 @@ +{"version":3,"file":"color-thief.mjs","sources":["../src/color-thief.js"],"sourcesContent":["/*\n * Color Thief v3.0.0\n * by Lokesh Dhakar - http://www.lokeshdhakar.com\n *\n * Thanks\n * ------\n * Nick Rabinowitz - For creating quantize.js.\n * John Schulz - For clean up and optimization. @JFSIII\n * Nathan Spady - For adding drag and drop support to the demo page.\n *\n * License\n * -------\n * Copyright Lokesh Dhakar\n * Released under the MIT license\n * https://raw.githubusercontent.com/lokesh/color-thief/master/LICENSE\n *\n * @license\n */\n\n\n/*\n CanvasImage Class\n Class that wraps the html image element and canvas.\n It also simplifies some of the canvas context manipulation\n with a set of helper functions.\n*/\n\nvar CanvasImage = function (image) {\n this.canvas = document.createElement('canvas');\n this.context = this.canvas.getContext('2d');\n\n this.width = this.canvas.width = image.width;\n this.height = this.canvas.height = image.height;\n\n this.context.drawImage(image, 0, 0, this.width, this.height);\n};\n\nCanvasImage.prototype.getPixelCount = function () {\n return this.width * this.height;\n};\n\nCanvasImage.prototype.getImageData = function () {\n return this.context.getImageData(0, 0, this.width, this.height);\n};\n\nvar ColorThief = function () {};\n\n/*\n * getColor(sourceImage[, quality])\n * returns {r: num, g: num, b: num}\n *\n * Use the median cut algorithm provided by quantize.js to cluster similar\n * colors and return the base color from the largest cluster.\n *\n * Quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.\n * 10 is the default. There is a trade-off between quality and speed. The bigger the number, the\n * faster a color will be returned but the greater the likelihood that it will not be the visually\n * most dominant color.\n *\n * */\nColorThief.prototype.getColor = function(sourceImage, quality) {\n var palette = this.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n return dominantColor;\n};\n\n\n/*\n * getPalette(sourceImage[, colorCount, quality])\n * returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]\n *\n * Use the median cut algorithm provided by quantize.js to cluster similar colors.\n *\n * colorCount determines the size of the palette; the number of colors returned. If not set, it\n * defaults to 10.\n *\n * BUGGY: Function does not always return the requested amount of colors. It can be +/- 2.\n *\n * quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.\n * 10 is the default. There is a trade-off between quality and speed. The bigger the number, the\n * faster the palette generation but the greater the likelihood that colors will be missed.\n *\n *\n */\nColorThief.prototype.getPalette = function(sourceImage, colorCount, quality) {\n\n if (typeof colorCount === 'undefined' || colorCount < 2 || colorCount > 256) {\n colorCount = 10;\n }\n if (typeof quality === 'undefined' || quality < 1) {\n quality = 10;\n }\n\n // Create custom CanvasImage object\n var image = new CanvasImage(sourceImage);\n var imageData = image.getImageData();\n var pixels = imageData.data;\n var pixelCount = image.getPixelCount();\n\n // Store the RGB values in an array format suitable for quantize function\n var pixelArray = [];\n for (var i = 0, offset, r, g, b, a; i < pixelCount; i = i + quality) {\n offset = i * 4;\n r = pixels[offset + 0];\n g = pixels[offset + 1];\n b = pixels[offset + 2];\n a = pixels[offset + 3];\n // If pixel is mostly opaque and not white\n if (a >= 125) {\n if (!(r > 250 && g > 250 && b > 250)) {\n pixelArray.push([r, g, b]);\n }\n }\n }\n\n // Send array to quantize function which clusters values\n // using median cut algorithm\n var cmap = MMCQ.quantize(pixelArray, colorCount);\n var palette = cmap? cmap.palette() : null;\n\n return palette;\n};\n\nColorThief.prototype.getColorFromUrl = function(imageUrl, callback, quality) {\n let sourceImage = document.createElement(\"img\");\n var thief = this;\n sourceImage.addEventListener('load' , function(){\n var palette = thief.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n callback(dominantColor, imageUrl);\n });\n sourceImage.src = imageUrl\n};\n\n\nColorThief.prototype.getImageData = function(imageUrl, callback) {\n let xhr = new XMLHttpRequest();\n xhr.open('GET', imageUrl, true);\n xhr.responseType = 'arraybuffer'\n xhr.onload = function() {\n if (this.status == 200) {\n let uInt8Array = new Uint8Array(this.response)\n i = uInt8Array.length\n let binaryString = new Array(i);\n for (var i = 0; i < uInt8Array.length; i++){\n binaryString[i] = String.fromCharCode(uInt8Array[i])\n }\n let data = binaryString.join('')\n let base64 = window.btoa(data)\n callback (\"data:image/png;base64,\"+base64)\n }\n }\n xhr.send();\n};\n\nColorThief.prototype.getColorAsync = function(imageUrl, callback, quality) {\n var thief = this;\n this.getImageData(imageUrl, function(imageData){\n let sourceImage = document.createElement(\"img\");\n sourceImage.addEventListener('load' , function(){\n var palette = thief.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n callback(dominantColor, this);\n });\n sourceImage.src = imageData;\n });\n};\n\n\n\n/*!\n * quantize.js Copyright 2008 Nick Rabinowitz.\n * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php\n * @license\n */\n\n// fill out a couple protovis dependencies\n/*!\n * Block below copied from Protovis: http://mbostock.github.com/protovis/\n * Copyright 2010 Stanford Visualization Group\n * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php\n * @license\n */\nif (!pv) {\n var pv = {\n map: function(array, f) {\n var o = {};\n return f ? array.map(function(d, i) { o.index = i; return f.call(o, d); }) : array.slice();\n },\n naturalOrder: function(a, b) {\n return (a < b) ? -1 : ((a > b) ? 1 : 0);\n },\n sum: function(array, f) {\n var o = {};\n return array.reduce(f ? function(p, d, i) { o.index = i; return p + f.call(o, d); } : function(p, d) { return p + d; }, 0);\n },\n max: function(array, f) {\n return Math.max.apply(null, f ? pv.map(array, f) : array);\n }\n };\n}\n\n\n\n/**\n * Basic Javascript port of the MMCQ (modified median cut quantization)\n * algorithm from the Leptonica library (http://www.leptonica.com/).\n * Returns a color map you can use to map original pixels to the reduced\n * palette. Still a work in progress.\n *\n * @author Nick Rabinowitz\n * @example\n\n// array of pixels as [R,G,B] arrays\nvar myPixels = [[190,197,190], [202,204,200], [207,214,210], [211,214,211], [205,207,207]\n // etc\n ];\nvar maxColors = 4;\n\nvar cmap = MMCQ.quantize(myPixels, maxColors);\nvar newPalette = cmap.palette();\nvar newPixels = myPixels.map(function(p) {\n return cmap.map(p);\n});\n\n */\nvar MMCQ = (function() {\n // private constants\n var sigbits = 5;\n var rshift = 8 - sigbits;\n var maxIterations = 1000;\n var fractByPopulations = 0.75;\n\n // get reduced-space color index for a pixel\n function getColorIndex(r, g, b) {\n return (r << (2 * sigbits)) + (g << sigbits) + b;\n }\n\n // Simple priority queue\n function PQueue(comparator) {\n var contents = [];\n var sorted = false;\n\n function sort() {\n contents.sort(comparator);\n sorted = true;\n }\n\n return {\n push: function(o) {\n contents.push(o);\n sorted = false;\n },\n peek: function(index) {\n if (!sorted) sort();\n if (index===undefined) index = contents.length - 1;\n return contents[index];\n },\n pop: function() {\n if (!sorted) sort();\n return contents.pop();\n },\n size: function() {\n return contents.length;\n },\n map: function(f) {\n return contents.map(f);\n },\n debug: function() {\n if (!sorted) sort();\n return contents;\n }\n };\n }\n\n // 3d color space box\n function VBox(r1, r2, g1, g2, b1, b2, histo) {\n var vbox = this;\n vbox.r1 = r1;\n vbox.r2 = r2;\n vbox.g1 = g1;\n vbox.g2 = g2;\n vbox.b1 = b1;\n vbox.b2 = b2;\n vbox.histo = histo;\n }\n VBox.prototype = {\n volume: function(force) {\n var vbox = this;\n if (!vbox._volume || force) {\n vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1));\n }\n return vbox._volume;\n },\n count: function(force) {\n var vbox = this;\n var histo = vbox.histo;\n if (!vbox._count_set || force) {\n var npix = 0;\n var index; var i; var j; var k;\n for (i = vbox.r1; i <= vbox.r2; i++) {\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(i,j,k);\n npix += (histo[index] || 0);\n }\n }\n }\n vbox._count = npix;\n vbox._count_set = true;\n }\n return vbox._count;\n },\n copy: function() {\n var vbox = this;\n return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo);\n },\n avg: function(force) {\n var vbox = this;\n var histo = vbox.histo;\n if (!vbox._avg || force) {\n var ntot = 0;\n var mult = 1 << (8 - sigbits);\n var rsum = 0;\n var gsum = 0;\n var bsum = 0;\n var hval;\n var i, j, k;\n var histoindex;\n for (i = vbox.r1; i <= vbox.r2; i++) {\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n histoindex = getColorIndex(i,j,k);\n hval = histo[histoindex] || 0;\n ntot += hval;\n rsum += (hval * (i + 0.5) * mult);\n gsum += (hval * (j + 0.5) * mult);\n bsum += (hval * (k + 0.5) * mult);\n }\n }\n }\n if (ntot) {\n vbox._avg = [~~(rsum/ntot), ~~(gsum/ntot), ~~(bsum/ntot)];\n } else {\n // console.log('empty box');\n vbox._avg = [\n ~~(mult * (vbox.r1 + vbox.r2 + 1) / 2),\n ~~(mult * (vbox.g1 + vbox.g2 + 1) / 2),\n ~~(mult * (vbox.b1 + vbox.b2 + 1) / 2)\n ];\n }\n }\n return vbox._avg;\n },\n contains: function(pixel) {\n var vbox = this;\n var rval = pixel[0] >> rshift;\n var gval = pixel[1] >> rshift;\n var bval = pixel[2] >> rshift;\n return (rval >= vbox.r1 && rval <= vbox.r2 &&\n gval >= vbox.g1 && gval <= vbox.g2 &&\n bval >= vbox.b1 && bval <= vbox.b2);\n }\n };\n\n // Color map\n function CMap() {\n this.vboxes = new PQueue(function(a,b) {\n return pv.naturalOrder(\n a.vbox.count()*a.vbox.volume(),\n b.vbox.count()*b.vbox.volume()\n );\n });\n }\n CMap.prototype = {\n push: function(vbox) {\n this.vboxes.push({\n vbox: vbox,\n color: vbox.avg()\n });\n },\n palette: function() {\n return this.vboxes.map(function(vb) { return vb.color; });\n },\n size: function() {\n return this.vboxes.size();\n },\n map: function(color) {\n var vboxes = this.vboxes;\n for (var i=0; i 251\n var idx = vboxes.length-1;\n var highest = vboxes[idx].color;\n if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251)\n vboxes[idx].color = [255,255,255];\n }\n };\n\n // histo (1-d array, giving the number of pixels in\n // each quantized region of color space), or null on error\n function getHisto(pixels) {\n var histosize = 1 << (3 * sigbits);\n var histo = new Array(histosize);\n var index; var rval; var gval; var bval;\n pixels.forEach(function(pixel) {\n rval = pixel[0] >> rshift;\n gval = pixel[1] >> rshift;\n bval = pixel[2] >> rshift;\n index = getColorIndex(rval, gval, bval);\n histo[index] = (histo[index] || 0) + 1;\n });\n return histo;\n }\n\n function vboxFromPixels(pixels, histo) {\n var rmin=1000000; var rmax=0;\n var gmin=1000000; var gmax=0;\n var bmin=1000000; var bmax=0;\n var rval; var gval; var bval;\n // find min/max\n pixels.forEach(function(pixel) {\n rval = pixel[0] >> rshift;\n gval = pixel[1] >> rshift;\n bval = pixel[2] >> rshift;\n if (rval < rmin) rmin = rval;\n else if (rval > rmax) rmax = rval;\n if (gval < gmin) gmin = gval;\n else if (gval > gmax) gmax = gval;\n if (bval < bmin) bmin = bval;\n else if (bval > bmax) bmax = bval;\n });\n return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo);\n }\n\n function medianCutApply(histo, vbox) {\n if (!vbox.count()) return;\n\n var rw = vbox.r2 - vbox.r1 + 1;\n var gw = vbox.g2 - vbox.g1 + 1;\n var bw = vbox.b2 - vbox.b1 + 1;\n var maxw = pv.max([rw, gw, bw]);\n // only one pixel, no split\n if (vbox.count() == 1) {\n return [vbox.copy()];\n }\n /* Find the partial sum arrays along the selected axis. */\n var total = 0;\n var partialsum = [];\n var lookaheadsum = [];\n var i; var j; var k; var sum; var index;\n if (maxw == rw) {\n for (i = vbox.r1; i <= vbox.r2; i++) {\n sum = 0;\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(i,j,k);\n sum += (histo[index] || 0);\n }\n }\n total += sum;\n 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\ No newline at end of file diff --git a/dist/color-thief.umd.js b/dist/color-thief.umd.js new file mode 100644 index 0000000..639a7a7 --- /dev/null +++ b/dist/color-thief.umd.js @@ -0,0 +1,2 @@ +!function(t,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define(r):t.ColorThief=r()}(this,function(){var t=function(t){this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d"),this.width=this.canvas.width=t.width,this.height=this.canvas.height=t.height,this.context.drawImage(t,0,0,this.width,this.height)};t.prototype.getPixelCount=function(){return this.width*this.height},t.prototype.getImageData=function(){return this.context.getImageData(0,0,this.width,this.height)};var r=function(){};if(r.prototype.getColor=function(t,r){return this.getPalette(t,5,r)[0]},r.prototype.getPalette=function(r,n,o){(void 0===n||n<2||n>256)&&(n=10),(void 0===o||o<1)&&(o=10);for(var i,u,s,a,h=new t(r),c=h.getImageData().data,f=h.getPixelCount(),v=[],p=0;p=125&&(u>250&&s>250&&a>250||v.push([u,s,a]));var g=e.quantize(v,n);return g?g.palette():null},r.prototype.getColorFromUrl=function(t,r,n){var e=document.createElement("img"),o=this;e.addEventListener("load",function(){var i=o.getPalette(e,5,n);r(i[0],t)}),e.src=t},r.prototype.getImageData=function(t,r){var n=new XMLHttpRequest;n.open("GET",t,!0),n.responseType="arraybuffer",n.onload=function(){if(200==this.status){var t=new Uint8Array(this.response);e=t.length;for(var n=new Array(e),e=0;er?1:0},sum:function(t,r){var n={};return t.reduce(r?function(t,e,o){return n.index=o,t+r.call(n,e)}:function(t,r){return t+r},0)},max:function(t,r){return Math.max.apply(null,r?n.map(t,r):t)}};var e=function(){var t=5,r=8-t,e=1e3;function o(r,n,e){return(r<<2*t)+(n<f/2){for(o=r.copy(),i=r.copy(),u=(n=s-r[a])<=(e=r[h]-s)?Math.min(r[h]-1,~~(s+e/2)):Math.max(r[a],~~(s-1-n/2));!v[u];)u++;for(c=p[u];!c&&v[u-1];)c=p[--u];return o[h]=u,i[a]=o[h]+1,[o,i]}}(u==e?"r":u==i?"g":"b")}}return u.prototype={volume:function(t){return this._volume&&!t||(this._volume=(this.r2-this.r1+1)*(this.g2-this.g1+1)*(this.b2-this.b1+1)),this._volume},count:function(t){var r=this.histo;if(!this._count_set||t){var n,e,i,u=0;for(n=this.r1;n<=this.r2;n++)for(e=this.g1;e<=this.g2;e++)for(i=this.b1;i<=this.b2;i++)u+=r[o(n,e,i)]||0;this._count=u,this._count_set=!0}return this._count},copy:function(){return new u(this.r1,this.r2,this.g1,this.g2,this.b1,this.b2,this.histo)},avg:function(r){var n=this.histo;if(!this._avg||r){var e,i,u,s,a=0,h=1<<8-t,c=0,f=0,v=0;for(i=this.r1;i<=this.r2;i++)for(u=this.g1;u<=this.g2;u++)for(s=this.b1;s<=this.b2;s++)a+=e=n[o(i,u,s)]||0,c+=e*(i+.5)*h,f+=e*(u+.5)*h,v+=e*(s+.5)*h;this._avg=a?[~~(c/a),~~(f/a),~~(v/a)]:[~~(h*(this.r1+this.r2+1)/2),~~(h*(this.g1+this.g2+1)/2),~~(h*(this.b1+this.b2+1)/2)]}return this._avg},contains:function(t){var n=t[0]>>r,e=t[1]>>r,o=t[2]>>r;return n>=this.r1&&n<=this.r2&&e>=this.g1&&e<=this.g2&&o>=this.b1&&o<=this.b2}},s.prototype={push:function(t){this.vboxes.push({vbox:t,color:t.avg()})},palette:function(){return this.vboxes.map(function(t){return t.color})},size:function(){return this.vboxes.size()},map:function(t){for(var r=this.vboxes,n=0;n251&&o[1]>251&&o[2]>251&&(t[e].color=[255,255,255])}},{quantize:function(h,c){if(!h.length||c<2||c>256)return!1;var f=function(n){var e,i=new Array(1<<3*t);return n.forEach(function(t){e=o(t[0]>>r,t[1]>>r,t[2]>>r),i[e]=(i[e]||0)+1}),i}(h);f.forEach(function(){});var v=function(t,n){var e,o,i,s=1e6,a=0,h=1e6,c=0,f=1e6,v=0;return t.forEach(function(t){(e=t[0]>>r)a&&(a=e),(o=t[1]>>r)c&&(c=o),(i=t[2]>>r)v&&(v=i)}),new u(s,a,h,c,f,v,n)}(h,f),p=new i(function(t,r){return n.naturalOrder(t.count(),r.count())});function g(t,r){for(var n,o=1,i=0;i=r)return;if(i++>e)return}else t.push(n),i++}p.push(v),g(p,.75*c);for(var l=new i(function(t,r){return n.naturalOrder(t.count()*t.volume(),r.count()*r.volume())});p.size();)l.push(p.pop());g(l,c-l.size());for(var d=new s;l.size();)d.push(l.pop());return d}}}();return r}); +//# sourceMappingURL=color-thief.umd.js.map diff --git a/dist/color-thief.umd.js.map b/dist/color-thief.umd.js.map new file mode 100644 index 0000000..84f2aff --- /dev/null +++ b/dist/color-thief.umd.js.map @@ -0,0 +1 @@ +{"version":3,"file":"color-thief.umd.js","sources":["../src/color-thief.js"],"sourcesContent":["/*\n * Color Thief v3.0.0\n * by Lokesh Dhakar - http://www.lokeshdhakar.com\n *\n * Thanks\n * ------\n * Nick Rabinowitz - For creating quantize.js.\n * John Schulz - For clean up and optimization. @JFSIII\n * Nathan Spady - For adding drag and drop support to the demo page.\n *\n * License\n * -------\n * Copyright Lokesh Dhakar\n * Released under the MIT license\n * https://raw.githubusercontent.com/lokesh/color-thief/master/LICENSE\n *\n * @license\n */\n\n\n/*\n CanvasImage Class\n Class that wraps the html image element and canvas.\n It also simplifies some of the canvas context manipulation\n with a set of helper functions.\n*/\n\nvar CanvasImage = function (image) {\n this.canvas = document.createElement('canvas');\n this.context = this.canvas.getContext('2d');\n\n this.width = this.canvas.width = image.width;\n this.height = this.canvas.height = image.height;\n\n this.context.drawImage(image, 0, 0, this.width, this.height);\n};\n\nCanvasImage.prototype.getPixelCount = function () {\n return this.width * this.height;\n};\n\nCanvasImage.prototype.getImageData = function () {\n return this.context.getImageData(0, 0, this.width, this.height);\n};\n\nvar ColorThief = function () {};\n\n/*\n * getColor(sourceImage[, quality])\n * returns {r: num, g: num, b: num}\n *\n * Use the median cut algorithm provided by quantize.js to cluster similar\n * colors and return the base color from the largest cluster.\n *\n * Quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.\n * 10 is the default. There is a trade-off between quality and speed. The bigger the number, the\n * faster a color will be returned but the greater the likelihood that it will not be the visually\n * most dominant color.\n *\n * */\nColorThief.prototype.getColor = function(sourceImage, quality) {\n var palette = this.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n return dominantColor;\n};\n\n\n/*\n * getPalette(sourceImage[, colorCount, quality])\n * returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]\n *\n * Use the median cut algorithm provided by quantize.js to cluster similar colors.\n *\n * colorCount determines the size of the palette; the number of colors returned. If not set, it\n * defaults to 10.\n *\n * BUGGY: Function does not always return the requested amount of colors. It can be +/- 2.\n *\n * quality is an optional argument. It needs to be an integer. 1 is the highest quality settings.\n * 10 is the default. There is a trade-off between quality and speed. The bigger the number, the\n * faster the palette generation but the greater the likelihood that colors will be missed.\n *\n *\n */\nColorThief.prototype.getPalette = function(sourceImage, colorCount, quality) {\n\n if (typeof colorCount === 'undefined' || colorCount < 2 || colorCount > 256) {\n colorCount = 10;\n }\n if (typeof quality === 'undefined' || quality < 1) {\n quality = 10;\n }\n\n // Create custom CanvasImage object\n var image = new CanvasImage(sourceImage);\n var imageData = image.getImageData();\n var pixels = imageData.data;\n var pixelCount = image.getPixelCount();\n\n // Store the RGB values in an array format suitable for quantize function\n var pixelArray = [];\n for (var i = 0, offset, r, g, b, a; i < pixelCount; i = i + quality) {\n offset = i * 4;\n r = pixels[offset + 0];\n g = pixels[offset + 1];\n b = pixels[offset + 2];\n a = pixels[offset + 3];\n // If pixel is mostly opaque and not white\n if (a >= 125) {\n if (!(r > 250 && g > 250 && b > 250)) {\n pixelArray.push([r, g, b]);\n }\n }\n }\n\n // Send array to quantize function which clusters values\n // using median cut algorithm\n var cmap = MMCQ.quantize(pixelArray, colorCount);\n var palette = cmap? cmap.palette() : null;\n\n return palette;\n};\n\nColorThief.prototype.getColorFromUrl = function(imageUrl, callback, quality) {\n let sourceImage = document.createElement(\"img\");\n var thief = this;\n sourceImage.addEventListener('load' , function(){\n var palette = thief.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n callback(dominantColor, imageUrl);\n });\n sourceImage.src = imageUrl\n};\n\n\nColorThief.prototype.getImageData = function(imageUrl, callback) {\n let xhr = new XMLHttpRequest();\n xhr.open('GET', imageUrl, true);\n xhr.responseType = 'arraybuffer'\n xhr.onload = function() {\n if (this.status == 200) {\n let uInt8Array = new Uint8Array(this.response)\n i = uInt8Array.length\n let binaryString = new Array(i);\n for (var i = 0; i < uInt8Array.length; i++){\n binaryString[i] = String.fromCharCode(uInt8Array[i])\n }\n let data = binaryString.join('')\n let base64 = window.btoa(data)\n callback (\"data:image/png;base64,\"+base64)\n }\n }\n xhr.send();\n};\n\nColorThief.prototype.getColorAsync = function(imageUrl, callback, quality) {\n var thief = this;\n this.getImageData(imageUrl, function(imageData){\n let sourceImage = document.createElement(\"img\");\n sourceImage.addEventListener('load' , function(){\n var palette = thief.getPalette(sourceImage, 5, quality);\n var dominantColor = palette[0];\n callback(dominantColor, this);\n });\n sourceImage.src = imageData;\n });\n};\n\n\n\n/*!\n * quantize.js Copyright 2008 Nick Rabinowitz.\n * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php\n * @license\n */\n\n// fill out a couple protovis dependencies\n/*!\n * Block below copied from Protovis: http://mbostock.github.com/protovis/\n * Copyright 2010 Stanford Visualization Group\n * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php\n * @license\n */\nif (!pv) {\n var pv = {\n map: function(array, f) {\n var o = {};\n return f ? array.map(function(d, i) { o.index = i; return f.call(o, d); }) : array.slice();\n },\n naturalOrder: function(a, b) {\n return (a < b) ? -1 : ((a > b) ? 1 : 0);\n },\n sum: function(array, f) {\n var o = {};\n return array.reduce(f ? function(p, d, i) { o.index = i; return p + f.call(o, d); } : function(p, d) { return p + d; }, 0);\n },\n max: function(array, f) {\n return Math.max.apply(null, f ? pv.map(array, f) : array);\n }\n };\n}\n\n\n\n/**\n * Basic Javascript port of the MMCQ (modified median cut quantization)\n * algorithm from the Leptonica library (http://www.leptonica.com/).\n * Returns a color map you can use to map original pixels to the reduced\n * palette. Still a work in progress.\n *\n * @author Nick Rabinowitz\n * @example\n\n// array of pixels as [R,G,B] arrays\nvar myPixels = [[190,197,190], [202,204,200], [207,214,210], [211,214,211], [205,207,207]\n // etc\n ];\nvar maxColors = 4;\n\nvar cmap = MMCQ.quantize(myPixels, maxColors);\nvar newPalette = cmap.palette();\nvar newPixels = myPixels.map(function(p) {\n return cmap.map(p);\n});\n\n */\nvar MMCQ = (function() {\n // private constants\n var sigbits = 5;\n var rshift = 8 - sigbits;\n var maxIterations = 1000;\n var fractByPopulations = 0.75;\n\n // get reduced-space color index for a pixel\n function getColorIndex(r, g, b) {\n return (r << (2 * sigbits)) + (g << sigbits) + b;\n }\n\n // Simple priority queue\n function PQueue(comparator) {\n var contents = [];\n var sorted = false;\n\n function sort() {\n contents.sort(comparator);\n sorted = true;\n }\n\n return {\n push: function(o) {\n contents.push(o);\n sorted = false;\n },\n peek: function(index) {\n if (!sorted) sort();\n if (index===undefined) index = contents.length - 1;\n return contents[index];\n },\n pop: function() {\n if (!sorted) sort();\n return contents.pop();\n },\n size: function() {\n return contents.length;\n },\n map: function(f) {\n return contents.map(f);\n },\n debug: function() {\n if (!sorted) sort();\n return contents;\n }\n };\n }\n\n // 3d color space box\n function VBox(r1, r2, g1, g2, b1, b2, histo) {\n var vbox = this;\n vbox.r1 = r1;\n vbox.r2 = r2;\n vbox.g1 = g1;\n vbox.g2 = g2;\n vbox.b1 = b1;\n vbox.b2 = b2;\n vbox.histo = histo;\n }\n VBox.prototype = {\n volume: function(force) {\n var vbox = this;\n if (!vbox._volume || force) {\n vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1));\n }\n return vbox._volume;\n },\n count: function(force) {\n var vbox = this;\n var histo = vbox.histo;\n if (!vbox._count_set || force) {\n var npix = 0;\n var index; var i; var j; var k;\n for (i = vbox.r1; i <= vbox.r2; i++) {\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(i,j,k);\n npix += (histo[index] || 0);\n }\n }\n }\n vbox._count = npix;\n vbox._count_set = true;\n }\n return vbox._count;\n },\n copy: function() {\n var vbox = this;\n return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo);\n },\n avg: function(force) {\n var vbox = this;\n var histo = vbox.histo;\n if (!vbox._avg || force) {\n var ntot = 0;\n var mult = 1 << (8 - sigbits);\n var rsum = 0;\n var gsum = 0;\n var bsum = 0;\n var hval;\n var i, j, k;\n var histoindex;\n for (i = vbox.r1; i <= vbox.r2; i++) {\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n histoindex = getColorIndex(i,j,k);\n hval = histo[histoindex] || 0;\n ntot += hval;\n rsum += (hval * (i + 0.5) * mult);\n gsum += (hval * (j + 0.5) * mult);\n bsum += (hval * (k + 0.5) * mult);\n }\n }\n }\n if (ntot) {\n vbox._avg = [~~(rsum/ntot), ~~(gsum/ntot), ~~(bsum/ntot)];\n } else {\n // console.log('empty box');\n vbox._avg = [\n ~~(mult * (vbox.r1 + vbox.r2 + 1) / 2),\n ~~(mult * (vbox.g1 + vbox.g2 + 1) / 2),\n ~~(mult * (vbox.b1 + vbox.b2 + 1) / 2)\n ];\n }\n }\n return vbox._avg;\n },\n contains: function(pixel) {\n var vbox = this;\n var rval = pixel[0] >> rshift;\n var gval = pixel[1] >> rshift;\n var bval = pixel[2] >> rshift;\n return (rval >= vbox.r1 && rval <= vbox.r2 &&\n gval >= vbox.g1 && gval <= vbox.g2 &&\n bval >= vbox.b1 && bval <= vbox.b2);\n }\n };\n\n // Color map\n function CMap() {\n this.vboxes = new PQueue(function(a,b) {\n return pv.naturalOrder(\n a.vbox.count()*a.vbox.volume(),\n b.vbox.count()*b.vbox.volume()\n );\n });\n }\n CMap.prototype = {\n push: function(vbox) {\n this.vboxes.push({\n vbox: vbox,\n color: vbox.avg()\n });\n },\n palette: function() {\n return this.vboxes.map(function(vb) { return vb.color; });\n },\n size: function() {\n return this.vboxes.size();\n },\n map: function(color) {\n var vboxes = this.vboxes;\n for (var i=0; i 251\n var idx = vboxes.length-1;\n var highest = vboxes[idx].color;\n if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251)\n vboxes[idx].color = [255,255,255];\n }\n };\n\n // histo (1-d array, giving the number of pixels in\n // each quantized region of color space), or null on error\n function getHisto(pixels) {\n var histosize = 1 << (3 * sigbits);\n var histo = new Array(histosize);\n var index; var rval; var gval; var bval;\n pixels.forEach(function(pixel) {\n rval = pixel[0] >> rshift;\n gval = pixel[1] >> rshift;\n bval = pixel[2] >> rshift;\n index = getColorIndex(rval, gval, bval);\n histo[index] = (histo[index] || 0) + 1;\n });\n return histo;\n }\n\n function vboxFromPixels(pixels, histo) {\n var rmin=1000000; var rmax=0;\n var gmin=1000000; var gmax=0;\n var bmin=1000000; var bmax=0;\n var rval; var gval; var bval;\n // find min/max\n pixels.forEach(function(pixel) {\n rval = pixel[0] >> rshift;\n gval = pixel[1] >> rshift;\n bval = pixel[2] >> rshift;\n if (rval < rmin) rmin = rval;\n else if (rval > rmax) rmax = rval;\n if (gval < gmin) gmin = gval;\n else if (gval > gmax) gmax = gval;\n if (bval < bmin) bmin = bval;\n else if (bval > bmax) bmax = bval;\n });\n return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo);\n }\n\n function medianCutApply(histo, vbox) {\n if (!vbox.count()) return;\n\n var rw = vbox.r2 - vbox.r1 + 1;\n var gw = vbox.g2 - vbox.g1 + 1;\n var bw = vbox.b2 - vbox.b1 + 1;\n var maxw = pv.max([rw, gw, bw]);\n // only one pixel, no split\n if (vbox.count() == 1) {\n return [vbox.copy()];\n }\n /* Find the partial sum arrays along the selected axis. */\n var total = 0;\n var partialsum = [];\n var lookaheadsum = [];\n var i; var j; var k; var sum; var index;\n if (maxw == rw) {\n for (i = vbox.r1; i <= vbox.r2; i++) {\n sum = 0;\n for (j = vbox.g1; j <= vbox.g2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(i,j,k);\n sum += (histo[index] || 0);\n }\n }\n total += sum;\n partialsum[i] = total;\n }\n }\n else if (maxw == gw) {\n for (i = vbox.g1; i <= vbox.g2; i++) {\n sum = 0;\n for (j = vbox.r1; j <= vbox.r2; j++) {\n for (k = vbox.b1; k <= vbox.b2; k++) {\n index = getColorIndex(j,i,k);\n sum += (histo[index] || 0);\n }\n }\n total += sum;\n partialsum[i] = total;\n }\n }\n else { /* maxw == bw */\n for (i = vbox.b1; i <= vbox.b2; i++) {\n sum = 0;\n for (j = vbox.r1; j <= vbox.r2; j++) {\n for (k = vbox.g1; k <= vbox.g2; k++) {\n index = getColorIndex(j,k,i);\n sum += (histo[index] || 0);\n }\n }\n total += sum;\n partialsum[i] = total;\n }\n }\n partialsum.forEach(function(d,i) {\n lookaheadsum[i] = total-d;\n });\n function doCut(color) {\n var dim1 = color + '1';\n var dim2 = color + '2';\n var left; var right; var vbox1; var vbox2; var d2; var count2=0;\n for (i = vbox[dim1]; i <= vbox[dim2]; i++) {\n if (partialsum[i] > total / 2) {\n vbox1 = vbox.copy();\n vbox2 = vbox.copy();\n left = i - vbox[dim1];\n right = vbox[dim2] - i;\n if (left <= right)\n d2 = Math.min(vbox[dim2] - 1, ~~(i + right / 2));\n else d2 = Math.max(vbox[dim1], ~~(i - 1 - left / 2));\n // avoid 0-count boxes\n while (!partialsum[d2]) d2++;\n count2 = lookaheadsum[d2];\n while (!count2 && partialsum[d2-1]) count2 = lookaheadsum[--d2];\n // set dimensions\n vbox1[dim2] = d2;\n vbox2[dim1] = vbox1[dim2] + 1;\n// console.log('vbox counts:', vbox.count(), vbox1.count(), vbox2.count());\n return [vbox1, vbox2];\n }\n }\n\n }\n // determine the cut planes\n return maxw == rw ? doCut('r') :\n maxw == gw ? doCut('g') :\n doCut('b');\n }\n\n function quantize(pixels, maxcolors) {\n // short-circuit\n if (!pixels.length || maxcolors < 2 || maxcolors > 256) {\n// console.log('wrong number of maxcolors');\n return false;\n }\n\n // XXX: check color content and convert to grayscale if insufficient\n\n var histo = getHisto(pixels);\n // histosize = 1 << (3 * sigbits);\n\n // check that we aren't below maxcolors already\n var nColors = 0;\n histo.forEach(function() { nColors++; });\n if (nColors <= maxcolors) {\n // XXX: generate the new colors from the histo and return\n }\n\n // get the beginning vbox from the colors\n var vbox = vboxFromPixels(pixels, histo);\n var pq = new PQueue(function(a,b) { return pv.naturalOrder(a.count(), b.count()); });\n pq.push(vbox);\n\n // inner function to do the iteration\n function iter(lh, target) {\n var ncolors = 1;\n var niters = 0;\n var vbox;\n while (niters < maxIterations) {\n vbox = lh.pop();\n if (!vbox.count()) { /* just put it back */\n lh.push(vbox);\n niters++;\n continue;\n }\n // do the cut\n var vboxes = medianCutApply(histo, vbox);\n var vbox1 = vboxes[0];\n var vbox2 = vboxes[1];\n\n if (!vbox1) {\n// console.log(\"vbox1 not defined; shouldn't happen!\");\n return;\n }\n lh.push(vbox1);\n if (vbox2) { /* vbox2 can be null */\n lh.push(vbox2);\n ncolors++;\n }\n if (ncolors >= target) return;\n if (niters++ > maxIterations) {\n// console.log(\"infinite loop; perhaps too few pixels!\");\n return;\n }\n }\n }\n\n // first set of colors, sorted by population\n iter(pq, fractByPopulations * maxcolors);\n\n // Re-sort by the product of pixel occupancy times the size in color space.\n var pq2 = new PQueue(function(a,b) {\n return pv.naturalOrder(a.count()*a.volume(), b.count()*b.volume());\n });\n while (pq.size()) {\n pq2.push(pq.pop());\n }\n\n // next set - generate the median cuts using the (npix * vol) sorting.\n iter(pq2, maxcolors - pq2.size());\n\n // calculate the actual colors\n var cmap = new CMap();\n while (pq2.size()) {\n cmap.push(pq2.pop());\n }\n\n return cmap;\n }\n\n return {\n quantize: quantize\n };\n})();\n\nexport default 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\ No newline at end of file diff --git a/examples/js/demo.js b/examples/js/demo.js index 0ef7923..58f56e8 100644 --- a/examples/js/demo.js +++ b/examples/js/demo.js @@ -13,7 +13,7 @@ document.getElementById('example-images').innerHTML = examplesHTML; // Once images are loaded, process them document.querySelectorAll('.image').forEach((image) => { const section = image.closest('.image-section'); - if (this.complete) { + if (image.complete) { showColorsForImage(image, section); } else { image.addEventListener('load', function() { diff --git a/examples/js/mustache.js b/examples/js/mustache.js deleted file mode 100644 index 3a84b74..0000000 --- a/examples/js/mustache.js +++ /dev/null @@ -1,570 +0,0 @@ -/*! - * mustache.js - Logic-less {{mustache}} templates with JavaScript - * http://github.com/janl/mustache.js - */ - -/*global define: false*/ - -(function (root, factory) { - if (typeof exports === "object" && exports) { - factory(exports); // CommonJS - } else { - var mustache = {}; - factory(mustache); - if (typeof define === "function" && define.amd) { - define(mustache); // AMD - } else { - root.Mustache = mustache; // - + diff --git a/package-lock.json b/package-lock.json index a462865..c22e3f2 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,6 +1,6 @@ { "name": "colorthief", - "version": "2.1.0", + "version": "3.0.0", "lockfileVersion": 1, "requires": true, "dependencies": { @@ -10,7 +10,172 @@ "integrity": "sha512-OfC2uemaknXr87bdLUkWog7nYuliM9Ij5HUcajsVcMCpQrcLmtxRbVFTIqmcSkSeYRBFBRxs2FiUqFJDLdiebA==", "dev": true, "requires": { - "@babel/highlight": "7.0.0" + "@babel/highlight": "^7.0.0" + } + }, + "@babel/core": { + "version": "7.5.4", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.5.4.tgz", + "integrity": "sha512-+DaeBEpYq6b2+ZmHx3tHspC+ZRflrvLqwfv8E3hNr5LVQoyBnL8RPKSBCg+rK2W2My9PWlujBiqd0ZPsR9Q6zQ==", + "dev": true, + "requires": { + "@babel/code-frame": "^7.0.0", + "@babel/generator": "^7.5.0", + "@babel/helpers": "^7.5.4", + 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"fd-slicer": "~1.1.0" }, "dependencies": { "fd-slicer": { "version": "1.1.0", - "resolved": "https://registry.npmjs.org/fd-slicer/-/fd-slicer-1.1.0.tgz", + "resolved": "https://artifactory.intern.weebly.net:443/artifactory/api/npm/weebly-npm/fd-slicer/-/fd-slicer-1.1.0.tgz", "integrity": "sha1-JcfInLH5B3+IkbvmHY85Dq4lbx4=", "dev": true, "requires": { - "pend": "1.2.0" + "pend": "~1.2.0" } } } diff --git a/package.json b/package.json index 9039777..89ba86e 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "colorthief", - "version": "2.1.0", + "version": "2.2.0", "author": { "name": "Lokesh Dhakar", "email": "lokesh.dhakar@gmail.com", @@ -22,18 +22,23 @@ "url": "https://github.com/lokesh/color-thief.git" }, "license": "MIT", + "source": "src/color-thief.js", + "main": "dist/color-thief.js", + "module": "dist/color-thief.mjs", + "umd:main": "dist/color-thief.umd.js", + "amdName": "ColorThief", "scripts": { - "build": "node ./build/build.js", + "build": "microbundle; node ./build/build.js", "dev": "./node_modules/http-server/bin/http-server", "test": "./node_modules/.bin/cypress open" }, - "main": "dist/color-thief.min.js", "devDependencies": { "@node-minify/core": "^4.0.5", "@node-minify/uglify-es": "^4.0.5", "cypress": "^3.4.0", "eslint": "^5.16.0", "http-server": "^0.11.1", + "microbundle": "^0.11.0", "mustache": "^3.0.1" }, "engines": { diff --git a/src/color-thief.js b/src/color-thief.js index ebbd63e..09876f1 100644 --- a/src/color-thief.js +++ b/src/color-thief.js @@ -1,5 +1,5 @@ /* - * Color Thief v2.1.0 + * Color Thief v2.2.0 * by Lokesh Dhakar - http://www.lokeshdhakar.com * * Thanks @@ -641,3 +641,5 @@ var MMCQ = (function() { quantize: quantize }; })(); + +export default ColorThief;