D3 Examples - HSL Decomposition 2

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<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>HSL Decomposition 2</title>
    <style>
      .images {
        margin-left: 75px;
        margin-right: 75px;
        width: 200px;
        float: left;
      }
​
      .chart {
        width: 500px;
        float: left;
      }
​
      .axis {
        font: 10px sans-serif;
      }
​
      .axis path,
      .axis line {
        fill: none;
        stroke: #000;
        shape-rendering: crispEdges;
      }
​
      ul {
        list-style-type: none;
        margin: 0;
        padding: 0;
      }
​
      li {
        display: inline;
      }
​
      img {
        cursor: pointer;
        border: 2px solid white;
      }
​
      .selected {
        border: 2px solid red;
      }
    </style>
  </head>
  <body>
​
    <div class="images">
      <ul>
        <li><img src="van-gogh.jpg" alt="Van Gogh" class="selected" /></li>
        <li><img src="fragonard.jpg" alt="Fragonard" /></li>
        <li><img src="turner.jpg" alt="Turner" /></li>
        <li><img src="whistler.jpg" alt="Whistler"></li>
        <li><img src="da-vinci.jpg" alt="Da Vinci"></li>
        <li><img src="picasso.jpg" alt="Picasso"></li>
        <li><img src="rubens.jpg" alt="Rubens"></li>
        <li><img src="vermeer.jpg" alt="Vermeer"></li>
        <li><img src="lichtenstein.jpg" alt="Lichtenstein"></li>
        <li><img src="matisse.jpg" alt="Matisse"></li>
      </ul>
    </div>
​
    <div class="chart"></div>
​
    <script src="//d3js.org/d3.v3.min.js" charset="utf-8"></script>
    <script>
      var margin = { top: 10, left: 50, bottom: 50, right: 10 },
          width = 500 - margin.left - margin.right,
          height = 500 - margin.top - margin.bottom,
          range = d3.range(0, 1, 1/10);
​
      var bins = {
        h: d3.scale.quantize().domain([0, 360]).range(range),
        s: d3.scale.quantize().domain([0, 1]).range(range),
        l: d3.scale.quantize().domain([0, 1]).range(range),
      };
​
      var scale = {
        x: d3.scale.ordinal().domain(range).rangeRoundBands([0, width]),
        y: d3.scale.ordinal().domain(range).rangeRoundBands([height, 0]),
        size: d3.scale.pow().exponent(.25).range([0, 1])
      };
​
      var axis = {
        x: d3.svg.axis().scale(scale.x).orient("bottom").ticks(5).tickFormat(d3.format(".2f")),
        y: d3.svg.axis().scale(scale.y).orient("left").tickFormat(d3.format(".2f"))
      };
​
      var svg = d3.select(".chart").append("svg")
          .attr("width", width + margin.left + margin.right)
          .attr("height", height + margin.top + margin.bottom)
        .append("g")
          .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
​
      svg.append("g")
          .attr("class", "x axis")
          .attr("transform", "translate(0," + height + ")")
          .call(axis.x)
        .append("text")
          .attr("x", width)
          .attr("y", -6)
          .style("text-anchor", "end")
          .text("Lightness");
​
      svg.append("g")
          .attr("class", "y axis")
          .call(axis.y)
        .append("text")
          .attr("transform", "rotate(-90)")
          .attr("y", 6)
          .attr("dy", ".71em")
          .style("text-anchor", "end")
          .text("Saturation");
​
      var images = d3.selectAll("img")
        .on("click", function() {
          images.classed("selected", false);
          var clicked = d3.select(this).classed("selected", true),
              url = clicked.attr("src");
          decomposeImage(url);
        });
​
      decomposeImage("van-gogh.jpg");
​
      function decomposeImage(url) {
        getImageData(url, function(imageData) {
          svg.call(render, binHsl(imageData, bins));
        });
      }
​
      function render(selection, data) {
        scale.size.domain([0, d3.max(data, function(d) { return d.freq; })]);
​
        var pack = d3.layout.pack()
          .children(function(d) { return d.values; })
          .value(function(d) { return d.freq; })
          .sort(function(a,b) { return a.value - b.value; });
​
        var packs = selection.selectAll(".pack").data(data);
​
        packs.enter().append("g")
          .attr("class", "pack");
​
        packs
          .attr("transform", function(d) {
            var size = scale.size(d.freq),
                xShift = scale.x.rangeBand() * (1-size)/2,
                yShift = scale.y.rangeBand() * (1-size)/2;
            return "translate(" + (scale.x(d.l) + xShift) + "," +
                                  (scale.y(d.s) + yShift) + ")";
          });
​
        packs.exit().remove();
​
        var circles = packs.selectAll("circle")
          .data(function(d) {
            var size = scale.size(d.freq),
                dx = scale.x.rangeBand(),
                dy = scale.y.rangeBand();
            pack = pack
              .size([dx*size, dy*size]);
            return pack.nodes(d);
          });
​
        circles.enter().append("circle");
​
        circles
            .filter(function(d) { return d.color !== undefined; })
            .attr("cx", function(d) { return d.x; })
            .attr("cy", function(d) { return d.y; })
            .attr("r", 0)
            .style("fill", "white")
          .transition().delay(function(d) { return d.s * d.l * 1000; })
            .attr("r", function(d) { return d.r; })
            .style("fill", function(d) { return d.color; });
​
        circles.exit().remove();
      }
​
      function getImageData(url, callback) {
        var img = new Image();
        img.src = url;
        var canvas = document.createElement("canvas");
        var context = canvas.getContext("2d");
        img.onload = function() {
          canvas.width = img.width;
          canvas.height = img.height;
          context.drawImage(img, 0, 0);
          img.style.display = "none";
          var imageData = context.getImageData(0, 0, canvas.width, canvas.height);
          callback(imageData);
        }
      }
​
      function toMatrix(imageData) {
        var data = imageData.data,
          matrix = new Array(data.length);
        for (var i = 0; i < data.length; i += 4) {
          matrix[i/4] = data.subarray(i, i+4);
        }
        return matrix;
      }
​
      function binHsl(imageData, bins) {
        var color = toMatrix(imageData)
          .map(function(d) {
            return d3.hsl("rgb(" + d[0] + "," + d[1] + "," + d[2] + ")");
          })
          .filter(function(d) { return d !== undefined; });
​
        color = d3.nest()
          .key(function(d) {
            return "s" + bins.s(d.s) + "-l" + bins.l(d.l);
          })
          .key(function(d) {
            return "h" + bins.h(d.h);
          })
          .rollup(function(d) { return d.length; })
          .entries(color)
          .map(function(sl) {
            var s = +sl.key.split("-")[0].slice(1),
                l = +sl.key.split("-")[1].slice(1),
                freq = sl.values.reduce(function(a, b) {
                    return { values: a.values + b.values };
                }).values;
            return {
              key: sl.key,
              s: s,
              l: l,
              freq: freq,
              values: sl.values.map(function(d) {
                var h = +d.key.slice(1),
                    freq = d.values,
                    color = d3.hsl(
                      d3.mean(bins.h.invertExtent(h)),
                      d3.mean(bins.s.invertExtent(s)),
                      d3.mean(bins.l.invertExtent(l))
                    ).toString();
                return { h:h, s:s, l:l, freq:freq, color:color };
              })
            };
          });
​
        return color;
      }
    </script>
  </body>
</html>
​
    