Added color-thief

front/src/vendor/color-thief.js

+/* eslint-disable */
+/*
+ * Color Thief v2.0
+ * 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 2011, 2015 Lokesh Dhakar
+ * Released under the MIT license
+ * https://raw.githubusercontent.com/lokesh/color-thief/master/LICENSE
+ *
+ * @license
+ */
+
+
+/*
+  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 CanvasImage = function (image) {
+    this.canvas  = document.createElement('canvas');
+    this.context = this.canvas.getContext('2d');
+
+    document.body.appendChild(this.canvas);
+
+    this.width  = this.canvas.width  = image.width;
+    this.height = this.canvas.height = image.height;
+
+    this.context.drawImage(image, 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 () {
+    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. 1 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) {
+    var palette       = this.getPalette(sourceImage, 5, quality);
+    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. 1 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) {
+
+    if (typeof colorCount === 'undefined' || colorCount < 2 || colorCount > 256) {
+        colorCount = 10;
+    }
+    if (typeof quality === 'undefined' || quality < 1) {
+        quality = 10;
+    }
+
+    // Create custom CanvasImage object
+    var image      = new CanvasImage(sourceImage);
+    var imageData  = image.getImageData();
+    var pixels     = imageData.data;
+    var pixelCount = image.getPixelCount();
+
+    // 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)) {
+                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? cmap.palette() : null;
+
+    // Clean up
+    image.removeCanvas();
+
+    return palette;
+};
+
+ColorThief.prototype.getColorFromUrl = function(imageUrl, callback, quality) {
+    sourceImage = document.createElement("img");
+    var thief = this;
+    sourceImage.addEventListener('load' , function(){
+        var palette = thief.getPalette(sourceImage, 5, quality);
+        var dominantColor = palette[0];
+        callback(dominantColor, imageUrl);
+    });
+    sourceImage.src = imageUrl
+};
+
+
+ColorThief.prototype.getImageData = function(imageUrl, callback) {
+    xhr = new XMLHttpRequest();
+    xhr.open('GET', imageUrl, true);
+    xhr.responseType = 'arraybuffer'
+    xhr.onload = function(e) {
+        if (this.status == 200) {
+            uInt8Array = new Uint8Array(this.response)
+            i = uInt8Array.length
+            binaryString = new Array(i);
+            for (var i = 0; i < uInt8Array.length; i++){
+                binaryString[i] = String.fromCharCode(uInt8Array[i])
+            }
+            data = binaryString.join('')
+            base64 = window.btoa(data)
+            callback ("data:image/png;base64,"+base64)
+        }
+    }
+    xhr.send();
+};
+
+ColorThief.prototype.getColorAsync = function(imageUrl, callback, quality) {
+    var thief = this;
+    this.getImageData(imageUrl, function(imageData){
+        sourceImage = document.createElement("img");
+        sourceImage.addEventListener('load' , function(){
+            var palette = thief.getPalette(sourceImage, 5, quality);
+            var dominantColor = palette[0];
+            callback(dominantColor, this);
+        });
+        sourceImage.src = imageData;
+    });
+};
+
+
+
+/*!
+ * quantize.js Copyright 2008 Nick Rabinowitz.
+ * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
+ * @license
+ */
+
+// 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
+ * @license
+ */
+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,
+                    index, 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++) {
+                             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
+    };
+})();
+
+export default ColorThief