{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Image Classification with Pre-trained Imagenet CNN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example is adapted from [Caffe's iPython Notebook example](http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/classification.ipynb). We use pre-trained CNN model [converted](http://mochajl.readthedocs.org/en/latest/user-guide/tools/import-caffe-model.html) from Caffe's [Model Zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo). Specifically, we use `bvlc_reference_caffenet`, which is the same model used in Caffe's own iPython Notebook example.\n",
    "\n",
    "This notebook is located in `examples/ijulia/ilsvrc12` under Mocha's source directory. If you want to run this example by yourself, you need to\n",
    "\n",
    "* Install [IJulia.jl](https://github.com/JuliaLang/IJulia.jl), which is a Julia backend for IPython. Of course, you also need to have Python and IPython installed.\n",
    "* Install [Images.jl](https://github.com/timholy/Images.jl), which we will use to read image files in this example.\n",
    "* (Optional) Install [Gadfly.jl](http://gadflyjl.org/), which will be used to plot the class probability prediction.\n",
    "* Download pre-trained CNN model. There is a shell script `get-model.sh` that you could run to download the pre-trained CNN model in HDF5 format converted from Caffe's original binary protocol buffer format.\n",
    "\n",
    "After all the preparation, you can start the notebook by executing the following command in this demo's source directory.\n",
    "\n",
    "```bash\n",
    "ipython notebook --profile julia\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Constructing Convolutional Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use Mocha's native extension here to get faster convolution. If you prefer to disable it or use CUDA backend instead, please refer to [Mocha's document](http://mochajl.readthedocs.org/en/latest/user-guide/backend.html) for details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25-Jun 14:18:20:INFO:root:Configuring Mocha...\n",
      "25-Jun 14:18:20:INFO:root: * CUDA       disabled by default\n",
      "25-Jun 14:18:20:INFO:root: * Native Ext enabled (MOCHA_USE_NATIVE_EXT environment variable detected)\n",
      "25-Jun 14:18:20:INFO:root:Mocha configured, continue loading module...\n",
      "25-Jun 14:18:20:INFO:root:Loading native extension libmochaext.so...\n",
      "25-Jun 14:18:20:INFO:root:Native extension loaded\n"
     ]
    }
   ],
   "source": [
    "ENV[\"MOCHA_USE_NATIVE_EXT\"] = \"true\"\n",
    "\n",
    "using Mocha\n",
    "\n",
    "backend = CPUBackend()\n",
    "init(backend)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we will define the network structure. This is directly adapted from Caffe's `bvlc_reference_caffenet` model definition. Please refer to Mocha's CIFAR-10 tutorial on how to translate Caffe's model definition to Mocha. This model takes 3-channel color images of size 256-by-256 and crop to take a 227-by-227 region. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25-Jun 14:19:36:INFO:root:Constructing net imagenet on CPUBackend...\n",
      "25-Jun 14:19:36:INFO:root:Topological sorting 16 layers...\n",
      "25-Jun 14:19:36:INFO:root:Setup layers...\n",
      "25-Jun 14:19:38:INFO:root:Network constructed!\n",
      "************************************************************\n",
      "          NAME: imagenet\n",
      "       BACKEND: CPUBackend\n",
      "  ARCHITECTURE: 16 layers\n",
      "............................................................\n",
      " *** MemoryDataLayer(data)\n",
      "    Outputs ---------------------------\n",
      "          data: Blob(256 x 256 x 3 x 1)\n",
      "............................................................\n",
      " *** CropLayer(crop)\n",
      "    Inputs ----------------------------\n",
      "          data: Blob(256 x 256 x 3 x 1)\n",
      "    Outputs ---------------------------\n",
      "       cropped: Blob(227 x 227 x 3 x 1)\n",
      "............................................................\n",
      " *** ConvolutionLayer(conv1)\n",
      "    Inputs ----------------------------\n",
      "       cropped: Blob(227 x 227 x 3 x 1)\n",
      "    Outputs ---------------------------\n",
      "         conv1: Blob(55 x 55 x 96 x 1)\n",
      "............................................................\n",
      " *** PoolingLayer(pool1)\n",
      "    Inputs ----------------------------\n",
      "         conv1: Blob(55 x 55 x 96 x 1)\n",
      "    Outputs ---------------------------\n",
      "         pool1: Blob(27 x 27 x 96 x 1)\n",
      "............................................................\n",
      " *** LRNLayer(norm1)\n",
      "    Inputs ----------------------------\n",
      "         pool1: Blob(27 x 27 x 96 x 1)\n",
      "    Outputs ---------------------------\n",
      "         norm1: Blob(27 x 27 x 96 x 1)\n",
      "............................................................\n",
      " *** ConvolutionLayer(conv2)\n",
      "    Inputs ----------------------------\n",
      "         norm1: Blob(27 x 27 x 96 x 1)\n",
      "    Outputs ---------------------------\n",
      "         conv2: Blob(27 x 27 x 256 x 1)\n",
      "............................................................\n",
      " *** PoolingLayer(pool2)\n",
      "    Inputs ----------------------------\n",
      "         conv2: Blob(27 x 27 x 256 x 1)\n",
      "    Outputs ---------------------------\n",
      "         pool2: Blob(13 x 13 x 256 x 1)\n",
      "............................................................\n",
      " *** LRNLayer(norm2)\n",
      "    Inputs ----------------------------\n",
      "         pool2: Blob(13 x 13 x 256 x 1)\n",
      "    Outputs ---------------------------\n",
      "         norm2: Blob(13 x 13 x 256 x 1)\n",
      "............................................................\n",
      " *** ConvolutionLayer(conv3)\n",
      "    Inputs ----------------------------\n",
      "         norm2: Blob(13 x 13 x 256 x 1)\n",
      "    Outputs ---------------------------\n",
      "         conv3: Blob(13 x 13 x 384 x 1)\n",
      "............................................................\n",
      " *** ConvolutionLayer(conv4)\n",
      "    Inputs ----------------------------\n",
      "         conv3: Blob(13 x 13 x 384 x 1)\n",
      "    Outputs ---------------------------\n",
      "         conv4: Blob(13 x 13 x 384 x 1)\n",
      "............................................................\n",
      " *** ConvolutionLayer(conv5)\n",
      "    Inputs ----------------------------\n",
      "         conv4: Blob(13 x 13 x 384 x 1)\n",
      "    Outputs ---------------------------\n",
      "         conv5: Blob(13 x 13 x 256 x 1)\n",
      "............................................................\n",
      " *** PoolingLayer(pool5)\n",
      "    Inputs ----------------------------\n",
      "         conv5: Blob(13 x 13 x 256 x 1)\n",
      "    Outputs ---------------------------\n",
      "         pool5: Blob(6 x 6 x 256 x 1)\n",
      "............................................................\n",
      " *** InnerProductLayer(fc6)\n",
      "    Inputs ----------------------------\n",
      "         pool5: Blob(6 x 6 x 256 x 1)\n",
      "    Outputs ---------------------------\n",
      "           fc6: Blob(4096 x 1)\n",
      "............................................................\n",
      " *** InnerProductLayer(fc7)\n",
      "    Inputs ----------------------------\n",
      "           fc6: Blob(4096 x 1)\n",
      "    Outputs ---------------------------\n",
      "           fc7: Blob(4096 x 1)\n",
      "............................................................\n",
      " *** InnerProductLayer(fc8)\n",
      "    Inputs ----------------------------\n",
      "           fc7: Blob(4096 x 1)\n",
      "    Outputs ---------------------------\n",
      "           fc8: Blob(1000 x 1)\n",
      "............................................................\n",
      " *** SoftmaxLayer(prob)\n",
      "    Inputs ----------------------------\n",
      "           fc8: Blob(1000 x 1)\n",
      "    Outputs ---------------------------\n",
      "          prob: Blob(1000 x 1)\n",
      "************************************************************\n",
      "\n"
     ]
    }
   ],
   "source": [
    "img_width, img_height, img_channels = (256, 256, 3)\n",
    "crop_size = (227, 227)\n",
    "batch_size = 1  # could be larger if you want to classify a bunch of images at a time\n",
    "\n",
    "layers = [\n",
    "  MemoryDataLayer(name=\"data\", tops=[:data], batch_size=batch_size,\n",
    "      transformers=[(:data, DataTransformers.Scale(scale=255)),\n",
    "                    (:data, DataTransformers.SubMean(mean_file=\"model/ilsvrc_2012_mean.hdf5\"))],\n",
    "      data = Array[zeros(img_width, img_height, img_channels, batch_size)])\n",
    "  CropLayer(name=\"crop\", tops=[:cropped], bottoms=[:data], crop_size=crop_size)\n",
    "  ConvolutionLayer(name=\"conv1\", tops=[:conv1], bottoms=[:cropped],\n",
    "      kernel=(11,11), stride=(4,4), n_filter=96, neuron=Neurons.ReLU())\n",
    "  PoolingLayer(name=\"pool1\", tops=[:pool1], bottoms=[:conv1],\n",
    "      kernel=(3,3), stride=(2,2), pooling=Pooling.Max())\n",
    "  LRNLayer(name=\"norm1\", tops=[:norm1], bottoms=[:pool1],\n",
    "      kernel=5, scale=0.0001, power=0.75)\n",
    "  ConvolutionLayer(name=\"conv2\", tops=[:conv2], bottoms=[:norm1],\n",
    "      kernel=(5,5), pad=(2,2), n_filter=256, n_group=2, neuron=Neurons.ReLU())\n",
    "  PoolingLayer(name=\"pool2\", tops=[:pool2], bottoms=[:conv2],\n",
    "      kernel=(3,3), stride=(2,2), pooling=Pooling.Max())\n",
    "  LRNLayer(name=\"norm2\", tops=[:norm2], bottoms=[:pool2],\n",
    "      kernel=5, scale=0.0001, power=0.75)\n",
    "  ConvolutionLayer(name=\"conv3\", tops=[:conv3], bottoms=[:norm2],\n",
    "      kernel=(3,3), pad=(1,1), n_filter=384, neuron=Neurons.ReLU())\n",
    "  ConvolutionLayer(name=\"conv4\", tops=[:conv4], bottoms=[:conv3],\n",
    "      kernel=(3,3), pad=(1,1), n_filter=384, n_group=2, neuron=Neurons.ReLU())\n",
    "  ConvolutionLayer(name=\"conv5\", tops=[:conv5], bottoms=[:conv4],\n",
    "      kernel=(3,3), pad=(1,1), n_filter=256, n_group=2, neuron=Neurons.ReLU())\n",
    "  PoolingLayer(name=\"pool5\", tops=[:pool5], bottoms=[:conv5],\n",
    "      kernel=(3,3), stride=(2,2), pooling=Pooling.Max())\n",
    "  InnerProductLayer(name=\"fc6\", tops=[:fc6], bottoms=[:pool5],\n",
    "      output_dim=4096, neuron=Neurons.ReLU())\n",
    "  InnerProductLayer(name=\"fc7\", tops=[:fc7], bottoms=[:fc6],\n",
    "      output_dim=4096, neuron=Neurons.ReLU())\n",
    "  InnerProductLayer(name=\"fc8\", tops=[:fc8], bottoms=[:fc7],\n",
    "      output_dim=1000)\n",
    "  SoftmaxLayer(name=\"prob\", tops=[:prob], bottoms=[:fc8])\n",
    "]\n",
    "\n",
    "net = Net(\"imagenet\", backend, layers)\n",
    "println(net)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "open(\"net.dot\", \"w\") do out net2dot(out, net) end\n",
    "run(`dot -Tpng net.dot` |> \"net.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": [
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"
      ],
      "text/plain": [
       "RGBA Image with:\n",
       "  data: 478x2038 Array{AlphaColorValue{RGB{UfixedBase{Uint8,8}},UfixedBase{Uint8,8}},2}\n",
       "  properties:\n",
       "    imagedescription: <suppressed>\n",
       "    spatialorder:  x y\n",
       "    pixelspacing:  1 1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using Images\n",
    "imread(\"net.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25-Jun 14:23:03:DEBUG:root:Loading parameters from HDF5 for layer conv1\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved filter from Float32 to Float64\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:03:DEBUG:root:Loading parameters from HDF5 for layer conv2\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved filter from Float32 to Float64\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:03:DEBUG:root:Loading parameters from HDF5 for layer conv3\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved filter from Float32 to Float64\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:03:DEBUG:root:Loading parameters from HDF5 for layer conv4\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved filter from Float32 to Float64\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:03:DEBUG:root:Loading parameters from HDF5 for layer conv5\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved filter from Float32 to Float64\n",
      "25-Jun 14:23:03:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:03:DEBUG:root:Loading parameters from HDF5 for layer fc6\n",
      "25-Jun 14:23:04:WARNING:root:Automatic converting saved weight from Float32 to Float64\n",
      "25-Jun 14:23:04:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:04:DEBUG:root:Loading parameters from HDF5 for layer fc7\n",
      "25-Jun 14:23:04:WARNING:root:Automatic converting saved weight from Float32 to Float64\n",
      "25-Jun 14:23:05:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:05:DEBUG:root:Loading parameters from HDF5 for layer fc8\n",
      "25-Jun 14:23:05:WARNING:root:Automatic converting saved weight from Float32 to Float64\n",
      "25-Jun 14:23:05:WARNING:root:Automatic converting saved bias from Float32 to Float64\n",
      "25-Jun 14:23:05:DEBUG:root:Init network imagenet\n"
     ]
    }
   ],
   "source": [
    "# load pre-trained network parameters\n",
    "\n",
    "using HDF5\n",
    "h5open(\"model/bvlc_reference_caffenet.hdf5\", \"r\") do h5\n",
    "  load_network(h5, net)\n",
    "end\n",
    "init(net)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classifying Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After loading the network parameters, we can now feed images to the network and read the output from the top softmax layer to get predictions. We provided a demo wrapper of the network as a simple image classifier interface in `tools/image-classifier.jl`. We will be using that wrapper in this demo.\n",
    "\n",
    "Before constructing the classifier, we load the class names get a better understanding the numerical predictions. The original network was trained on a 1000-class dataset. The classes used by Caffe's pre-trained model could be found in `synset_words.txt`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000-element Array{ASCIIString,1}:\n",
       " \"tench, Tinca tinca\"                                                                 \n",
       " \"goldfish, Carassius auratus\"                                                        \n",
       " \"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\"\n",
       " \"tiger shark, Galeocerdo cuvieri\"                                                    \n",
       " \"hammerhead, hammerhead shark\"                                                       \n",
       " \"electric ray, crampfish, numbfish, torpedo\"                                         \n",
       " \"stingray\"                                                                           \n",
       " \"cock\"                                                                               \n",
       " \"hen\"                                                                                \n",
       " \"ostrich, Struthio camelus\"                                                          \n",
       " \"brambling, Fringilla montifringilla\"                                                \n",
       " \"goldfinch, Carduelis carduelis\"                                                     \n",
       " \"house finch, linnet, Carpodacus mexicanus\"                                          \n",
       " ⋮                                                                                    \n",
       " \"acorn\"                                                                              \n",
       " \"hip, rose hip, rosehip\"                                                             \n",
       " \"buckeye, horse chestnut, conker\"                                                    \n",
       " \"coral fungus\"                                                                       \n",
       " \"agaric\"                                                                             \n",
       " \"gyromitra\"                                                                          \n",
       " \"stinkhorn, carrion fungus\"                                                          \n",
       " \"earthstar\"                                                                          \n",
       " \"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\"          \n",
       " \"bolete\"                                                                             \n",
       " \"ear, spike, capitulum\"                                                              \n",
       " \"toilet tissue, toilet paper, bathroom tissue\"                                       "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classes = open(\"synset_words.txt\") do s map(x -> replace(strip(x), r\"^n[0-9]+ \", \"\"), readlines(s)) end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Caffe's CNN on imagenet is trained with BGR channel order, so we specify channel re-ordering from the standard RGB order. The image data from Images.jl is in the range [0,1]. According to Caffe's original tutorial, we also need to re-scale the image data from [0,1] to [0,255], and subtract the mean. But those are already handled in the network definition via data transformers attached to the data layer.\n",
    "\n",
    "The second parameter to the constructor of `ImageClassifier` is the name of the blob in the network that gives the final prediction. Here we are using the output of the softmax layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classifier constructed\n"
     ]
    }
   ],
   "source": [
    "require(joinpath(Pkg.dir(\"Mocha\"), \"tools/image-classifier.jl\"))\n",
    "classifier = ImageClassifier(net, :prob, channel_order=(3,2,1), classes=classes)\n",
    "println(\"Classifier constructed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": [
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"
      ],
      "text/plain": [
       "RGB4 Image with:\n",
       "  data: 256x256 Array{RGB4{UfixedBase{Uint8,8}},2}\n",
       "  properties:\n",
       "    imagedescription: <suppressed>\n",
       "    spatialorder:  x y\n",
       "    pixelspacing:  1 1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load image for prediction\n",
    "img = imread(\"images/cat256.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tabby, tabby cat\n"
     ]
    }
   ],
   "source": [
    "# get prediction\n",
    "prob, class = classify(classifier, img)\n",
    "println(class)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the predicted class is tabby, tabby cat. We can also plot the top 5 highest predicted probability. If you didn't install Gadfly.jl, this step could be omitted. Currently (before Julia's static compilation is implemented) it takes a very long time to load Gadfly.jl."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       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       "amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
       "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
       "\n",
       "]]> </script>\n",
       "<script> <![CDATA[\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "    if (typeof define === \"function\" && define.amd) {\n",
       "        // Define as an anonymous module\n",
       "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
       "            return factory(Snap);\n",
       "        });\n",
       "    } else {\n",
       "        // Browser globals (glob is window)\n",
       "        // Snap adds itself to window\n",
       "        glob.Gadfly = factory(glob.Snap);\n",
       "    }\n",
       "}(this, function (Snap) {\n",
       "\n",
       "var Gadfly = {};\n",
       "\n",
       "// Get an x/y coordinate value in pixels\n",
       "var xPX = function(fig, x) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
       "};\n",
       "\n",
       "var yPX = function(fig, y) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
       "};\n",
       "\n",
       "\n",
       "Snap.plugin(function (Snap, Element, Paper, global) {\n",
       "    // Traverse upwards from a snap element to find and return the first\n",
       "    // note with the \"plotroot\" class.\n",
       "    Element.prototype.plotroot = function () {\n",
       "        var element = this;\n",
       "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.svgroot = function () {\n",
       "        var element = this;\n",
       "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotbounds = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x0: bbox.x,\n",
       "            x1: bbox.x + bbox.width,\n",
       "            y0: bbox.y,\n",
       "            y1: bbox.y + bbox.height\n",
       "        };\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotcenter = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x: bbox.x + bbox.width / 2,\n",
       "            y: bbox.y + bbox.height / 2\n",
       "        };\n",
       "    };\n",
       "\n",
       "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
       "    // does everything right.\n",
       "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
       "    var events = [\"mouseenter\", \"mouseleave\"];\n",
       "\n",
       "    for (i in events) {\n",
       "        (function (event_name) {\n",
       "            var event_name = events[i];\n",
       "            Element.prototype[event_name] = function (fn, scope) {\n",
       "                if (Snap.is(fn, \"function\")) {\n",
       "                    var fn2 = function (event) {\n",
       "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
       "                            return;\n",
       "                        }\n",
       "\n",
       "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
       "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
       "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
       "\n",
       "                        if (reltg != this.node) {\n",
       "                            return fn.apply(this, event);\n",
       "                        }\n",
       "                    };\n",
       "\n",
       "                    if (event_name == \"mouseenter\") {\n",
       "                        this.mouseover(fn2, scope);\n",
       "                    } else {\n",
       "                        this.mouseout(fn2, scope);\n",
       "                    }\n",
       "                }\n",
       "                return this;\n",
       "            };\n",
       "        })(events[i]);\n",
       "    }\n",
       "\n",
       "\n",
       "    Element.prototype.mousewheel = function (fn, scope) {\n",
       "        if (Snap.is(fn, \"function\")) {\n",
       "            var el = this;\n",
       "            var fn2 = function (event) {\n",
       "                fn.apply(el, [event]);\n",
       "            };\n",
       "        }\n",
       "\n",
       "        this.node.addEventListener(\n",
       "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
       "            fn2);\n",
       "\n",
       "        return this;\n",
       "    };\n",
       "\n",
       "\n",
       "    // Snap's attr function can be too slow for things like panning/zooming.\n",
       "    // This is a function to directly update element attributes without going\n",
       "    // through eve.\n",
       "    Element.prototype.attribute = function(key, val) {\n",
       "        if (val === undefined) {\n",
       "            return this.node.getAttribute(key, val);\n",
       "        } else {\n",
       "            return this.node.setAttribute(key, val);\n",
       "        }\n",
       "    };\n",
       "});\n",
       "\n",
       "\n",
       "// When the plot is moused over, emphasize the grid lines.\n",
       "Gadfly.plot_mouseover = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    init_pan_zoom(root);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    xgridlines.data(\"unfocused_strokedash\",\n",
       "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
       "    ygridlines.data(\"unfocused_strokedash\",\n",
       "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
       "\n",
       "    // emphasize grid lines\n",
       "    var destcolor = root.data(\"focused_xgrid_color\");\n",
       "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"focused_ygrid_color\");\n",
       "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // reveal zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 1.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "// Unemphasize grid lines on mouse out.\n",
       "Gadfly.plot_mouseout = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
       "\n",
       "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
       "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // hide zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 0.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "var set_geometry_transform = function(root, tx, ty, scale) {\n",
       "    var xscalable = root.hasClass(\"xscalable\"),\n",
       "        yscalable = root.hasClass(\"yscalable\");\n",
       "\n",
       "    var old_scale = root.data(\"scale\");\n",
       "\n",
       "    var xscale = xscalable ? scale : 1.0,\n",
       "        yscale = yscalable ? scale : 1.0;\n",
       "\n",
       "    tx = xscalable ? tx : 0.0;\n",
       "    ty = yscalable ? ty : 0.0;\n",
       "\n",
       "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
       "\n",
       "    root.selectAll(\".geometry, image\")\n",
       "        .forEach(function (element, i) {\n",
       "            element.transform(t);\n",
       "        });\n",
       "\n",
       "    bounds = root.plotbounds();\n",
       "\n",
       "    if (yscalable) {\n",
       "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
       "        root.selectAll(\".xfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(xfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".ylabels\")\n",
       "            .transform(xfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var y = cy * scale + ty;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (xscalable) {\n",
       "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
       "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
       "        root.selectAll(\".yfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(yfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".xlabels\")\n",
       "            .transform(yfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
       "\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var x = cx * scale + tx;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
       "                    }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
       "    var size_attribs = [\"font-size\"];\n",
       "    var unscaled_selection = \".geometry, .geometry *\";\n",
       "    if (xscalable) {\n",
       "        size_attribs.push(\"rx\");\n",
       "        unscaled_selection += \", .xgridlines\";\n",
       "    }\n",
       "    if (yscalable) {\n",
       "        size_attribs.push(\"ry\");\n",
       "        unscaled_selection += \", .ygridlines\";\n",
       "    }\n",
       "\n",
       "    root.selectAll(unscaled_selection)\n",
       "        .forEach(function (element, i) {\n",
       "            // circle need special help\n",
       "            if (element.node.nodeName == \"circle\") {\n",
       "                var cx = element.attribute(\"cx\"),\n",
       "                    cy = element.attribute(\"cy\");\n",
       "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
       "                                                        cx, cy);\n",
       "                element.transform(unscale_t);\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (i in size_attribs) {\n",
       "                var key = size_attribs[i];\n",
       "                var val = parseFloat(element.attribute(key));\n",
       "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
       "                    element.attribute(key, val * old_scale / scale);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "};\n",
       "\n",
       "\n",
       "// Find the most appropriate tick scale and update label visibility.\n",
       "var update_tickscale = function(root, scale, axis) {\n",
       "    if (!root.hasClass(axis + \"scalable\")) return;\n",
       "\n",
       "    var tickscales = root.data(axis + \"tickscales\");\n",
       "    var best_tickscale = 1.0;\n",
       "    var best_tickscale_dist = Infinity;\n",
       "    for (tickscale in tickscales) {\n",
       "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
       "        if (dist < best_tickscale_dist) {\n",
       "            best_tickscale_dist = dist;\n",
       "            best_tickscale = tickscale;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
       "        root.data(axis + \"tickscale\", best_tickscale);\n",
       "        var mark_inscale_gridlines = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        var mark_inscale_labels = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
       "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
       "    var old_scale = root.data(\"scale\");\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    // compute the viewport derived from tx, ty, and scale\n",
       "    var x_min = -width * scale - (scale * width - width),\n",
       "        x_max = width * scale,\n",
       "        y_min = -height * scale - (scale * height - height),\n",
       "        y_max = height * scale;\n",
       "\n",
       "    var x0 = bounds.x0 - scale * bounds.x0,\n",
       "        y0 = bounds.y0 - scale * bounds.y0;\n",
       "\n",
       "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
       "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
       "\n",
       "    tx += x0;\n",
       "    ty += y0;\n",
       "\n",
       "    // when the scale change, we may need to alter which set of\n",
       "    // ticks is being displayed\n",
       "    if (scale != old_scale) {\n",
       "        update_tickscale(root, scale, \"x\");\n",
       "        update_tickscale(root, scale, \"y\");\n",
       "    }\n",
       "\n",
       "    set_geometry_transform(root, tx, ty, scale);\n",
       "\n",
       "    root.data(\"scale\", scale);\n",
       "    root.data(\"tx\", tx);\n",
       "    root.data(\"ty\", ty);\n",
       "};\n",
       "\n",
       "\n",
       "var scale_centered_translation = function(root, scale) {\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var scale0 = root.data(\"scale\");\n",
       "\n",
       "    // how off from center the current view is\n",
       "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
       "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
       "\n",
       "    // rescale offsets\n",
       "    xoff = xoff * scale / scale0;\n",
       "    yoff = yoff * scale / scale0;\n",
       "\n",
       "    // adjust for the panel position being scaled\n",
       "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
       "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
       "\n",
       "    return {\n",
       "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
       "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "// Initialize data for panning zooming if it isn't already.\n",
       "var init_pan_zoom = function(root) {\n",
       "    if (root.data(\"zoompan-ready\")) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
       "    // stroke-width when zooming, we force it to a fixed value.\n",
       "    var px_per_mm = root.node.getCTM().a;\n",
       "\n",
       "    // Drag events report deltas in pixels, which we'd like to convert to\n",
       "    // millimeters.\n",
       "    root.data(\"px_per_mm\", px_per_mm);\n",
       "\n",
       "    root.selectAll(\"path\")\n",
       "        .forEach(function (element, i) {\n",
       "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
       "        if (sw > 0) {\n",
       "            element.attribute(\"stroke-width\", sw);\n",
       "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
       "        }\n",
       "    });\n",
       "\n",
       "    // Store ticks labels original tranformation\n",
       "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
       "        .forEach(function (element, i) {\n",
       "            var lm = element.transform().localMatrix;\n",
       "            element.data(\"static_transform\",\n",
       "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
       "        });\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\");\n",
       "    var ygridlines = root.select(\".ygridlines\");\n",
       "    var xlabels = root.select(\".xlabels\");\n",
       "    var ylabels = root.select(\".ylabels\");\n",
       "\n",
       "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
       "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
       "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
       "    if (root.data(\"xtickscales\") === undefined) {\n",
       "\n",
       "        // index all the tick scales that are listed\n",
       "        var xtickscales = {};\n",
       "        var ytickscales = {};\n",
       "        var add_x_tick_scales = function (element, i) {\n",
       "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "        var add_y_tick_scales = function (element, i) {\n",
       "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "\n",
       "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
       "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
       "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
       "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
       "\n",
       "        root.data(\"xtickscales\", xtickscales);\n",
       "        root.data(\"ytickscales\", ytickscales);\n",
       "        root.data(\"xtickscale\", 1.0);\n",
       "    }\n",
       "\n",
       "    var min_scale = 1.0, max_scale = 1.0;\n",
       "    for (scale in xtickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    for (scale in ytickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    root.data(\"min_scale\", min_scale);\n",
       "    root.data(\"max_scale\", max_scale);\n",
       "\n",
       "    // store the original positions of labels\n",
       "    if (xlabels) {\n",
       "        xlabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"x\", element.asPX(\"x\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    if (ylabels) {\n",
       "        ylabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"y\", element.asPX(\"y\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    // mark grid lines and ticks as in or out of scale.\n",
       "    var mark_inscale = function (element, i) {\n",
       "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
       "    };\n",
       "\n",
       "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "\n",
       "    // figure out the upper ond lower bounds on panning using the maximum\n",
       "    // and minum grid lines\n",
       "    var bounds = root.plotbounds();\n",
       "    var pan_bounds = {\n",
       "        x0: 0.0,\n",
       "        y0: 0.0,\n",
       "        x1: 0.0,\n",
       "        y1: 0.0\n",
       "    };\n",
       "\n",
       "    if (xgridlines) {\n",
       "        xgridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
       "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
       "                    }\n",
       "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
       "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (ygridlines) {\n",
       "        ygridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
       "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
       "                    }\n",
       "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
       "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // nudge these values a little\n",
       "    pan_bounds.x0 -= 5;\n",
       "    pan_bounds.x1 += 5;\n",
       "    pan_bounds.y0 -= 5;\n",
       "    pan_bounds.y1 += 5;\n",
       "    root.data(\"pan_bounds\", pan_bounds);\n",
       "\n",
       "    root.data(\"zoompan-ready\", true)\n",
       "};\n",
       "\n",
       "\n",
       "// Panning\n",
       "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var dx0 = root.data(\"dx\"),\n",
       "        dy0 = root.data(\"dy\");\n",
       "\n",
       "    root.data(\"dx\", dx);\n",
       "    root.data(\"dy\", dy);\n",
       "\n",
       "    dx = dx - dx0;\n",
       "    dy = dy - dy0;\n",
       "\n",
       "    var tx = tx0 + dx,\n",
       "        ty = ty0 + dy;\n",
       "\n",
       "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    root.data(\"dx\", 0);\n",
       "    root.data(\"dy\", 0);\n",
       "    init_pan_zoom(root);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onend = function(event) {\n",
       "    var root = this.plotroot();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_scroll = function(event) {\n",
       "    if (event.shiftKey) {\n",
       "        var root = this.plotroot();\n",
       "        init_pan_zoom(root);\n",
       "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
       "        new_scale = Math.max(\n",
       "            root.data(\"min_scale\"),\n",
       "            Math.min(root.data(\"max_scale\"), new_scale))\n",
       "        update_plot_scale(root, new_scale);\n",
       "        event.stopPropagation();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseover = function(event) {\n",
       "    this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseout = function(event) {\n",
       "     this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomout_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    init_pan_zoom(root);\n",
       "    var min_scale = root.data(\"min_scale\"),\n",
       "        scale = root.data(\"scale\");\n",
       "    Snap.animate(\n",
       "        scale,\n",
       "        Math.max(min_scale, scale / 1.5),\n",
       "        function (new_scale) {\n",
       "            update_plot_scale(root, new_scale);\n",
       "        },\n",
       "        200);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomin_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    init_pan_zoom(root);\n",
       "    var max_scale = root.data(\"max_scale\"),\n",
       "        scale = root.data(\"scale\");\n",
       "\n",
       "    Snap.animate(\n",
       "        scale,\n",
       "        Math.min(max_scale, scale * 1.5),\n",
       "        function (new_scale) {\n",
       "            update_plot_scale(root, new_scale);\n",
       "        },\n",
       "        200);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_track_click = function(event) {\n",
       "    // TODO\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
       "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
       "    if (scale >= 1.0) {\n",
       "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
       "    }\n",
       "    else {\n",
       "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "var update_plot_scale = function(root, new_scale) {\n",
       "    var trans = scale_centered_translation(root, new_scale);\n",
       "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
       "\n",
       "    root.selectAll(\".zoomslider_thumb\")\n",
       "        .forEach(function (element, i) {\n",
       "            var min_pos = element.data(\"min_pos\"),\n",
       "                max_pos = element.data(\"max_pos\"),\n",
       "                min_scale = root.data(\"min_scale\"),\n",
       "                max_scale = root.data(\"max_scale\");\n",
       "            var xmid = (min_pos + max_pos) / 2;\n",
       "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
       "            element.transform(new Snap.Matrix().translate(\n",
       "                Math.max(min_pos, Math.min(\n",
       "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
       "    });\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
       "    var root = this.plotroot();\n",
       "    var min_pos = this.data(\"min_pos\"),\n",
       "        max_pos = this.data(\"max_pos\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"old_scale\");\n",
       "\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var xmid = (min_pos + max_pos) / 2;\n",
       "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
       "                   dx / (max_pos - min_pos);\n",
       "\n",
       "    // compute the new scale\n",
       "    var new_scale;\n",
       "    if (xpos >= 0.5) {\n",
       "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
       "    }\n",
       "    else {\n",
       "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
       "                        Math.log(min_scale));\n",
       "    }\n",
       "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
       "\n",
       "    update_plot_scale(root, new_scale);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    init_pan_zoom(root);\n",
       "\n",
       "    // keep track of what the scale was when we started dragging\n",
       "    root.data(\"old_scale\", root.data(\"scale\"));\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
       "};\n",
       "\n",
       "\n",
       "var toggle_color_class = function(root, color_class, ison) {\n",
       "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
       "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
       "    if (ison) {\n",
       "        guides.animate({opacity: 0.5}, 250);\n",
       "        geoms.animate({opacity: 0.0}, 250);\n",
       "    } else {\n",
       "        guides.animate({opacity: 1.0}, 250);\n",
       "        geoms.animate({opacity: 1.0}, 250);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.colorkey_swatch_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var color_class = this.data(\"color_class\");\n",
       "\n",
       "    if (event.shiftKey) {\n",
       "        root.selectAll(\".colorkey text\")\n",
       "            .forEach(function (element) {\n",
       "                var other_color_class = element.data(\"color_class\");\n",
       "                if (other_color_class != color_class) {\n",
       "                    toggle_color_class(root, other_color_class,\n",
       "                                       element.attr(\"opacity\") == 1.0);\n",
       "                }\n",
       "            });\n",
       "    } else {\n",
       "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "return Gadfly;\n",
       "\n",
       "}));\n",
       "\n",
       "\n",
       "//@ sourceURL=gadfly.js\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
       "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
       "            factory(Snap, Gadfly);\n",
       "        });\n",
       "      } else {\n",
       "          factory(glob.Snap, glob.Gadfly);\n",
       "      }\n",
       "})(window, function (Snap, Gadfly) {\n",
       "    var fig = Snap(\"#fig-dda3658e23604bb0a8cd3139f73039e5\");\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-4\")\n",
       "   .drag(function() {}, function() {}, function() {});\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-6\")\n",
       "   .data(\"color_class\", \"color_tabby,_tabby_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-7\")\n",
       "   .data(\"color_class\", \"color_tiger_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-8\")\n",
       "   .data(\"color_class\", \"color_lynx,_catamount\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-9\")\n",
       "   .data(\"color_class\", \"color_Egyptian_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-10\")\n",
       "   .data(\"color_class\", \"color_Persian_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-12\")\n",
       "   .data(\"color_class\", \"color_tabby,_tabby_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-13\")\n",
       "   .data(\"color_class\", \"color_tiger_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-14\")\n",
       "   .data(\"color_class\", \"color_lynx,_catamount\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-15\")\n",
       "   .data(\"color_class\", \"color_Egyptian_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-16\")\n",
       "   .data(\"color_class\", \"color_Persian_cat\")\n",
       ".click(Gadfly.colorkey_swatch_click)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-19\")\n",
       "   .mouseenter(Gadfly.plot_mouseover)\n",
       ".mouseleave(Gadfly.plot_mouseout)\n",
       ".mousewheel(Gadfly.guide_background_scroll)\n",
       ".drag(Gadfly.guide_background_drag_onmove,\n",
       "      Gadfly.guide_background_drag_onstart,\n",
       "      Gadfly.guide_background_drag_onend)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-23\")\n",
       "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-23\")\n",
       "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-118\")\n",
       "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-118\")\n",
       "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-257\")\n",
       "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-257\")\n",
       "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-257\")\n",
       "   .click(Gadfly.zoomslider_zoomin_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-261\")\n",
       "   .data(\"max_pos\", 97.31)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-261\")\n",
       "   .data(\"min_pos\", 80.31)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-261\")\n",
       "   .click(Gadfly.zoomslider_track_click);\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-263\")\n",
       "   .data(\"max_pos\", 97.31)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-263\")\n",
       "   .data(\"min_pos\", 80.31)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-263\")\n",
       "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-263\")\n",
       "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-263\")\n",
       "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
       "     Gadfly.zoomslider_thumb_dragstart,\n",
       "     Gadfly.zoomslider_thumb_dragend)\n",
       ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
       ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-265\")\n",
       "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-265\")\n",
       "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
       ";\n",
       "fig.select(\"#fig-dda3658e23604bb0a8cd3139f73039e5-element-265\")\n",
       "   .click(Gadfly.zoomslider_zoomout_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "    });\n",
       "]]> </script>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "Plot(...)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using Gadfly\n",
    "\n",
    "n_plot = 5\n",
    "n_best = sortperm(vec(prob), rev=true)[1:n_plot]\n",
    "best_probs = prob[n_best]\n",
    "best_labels = classes[n_best]\n",
    "\n",
    "plot(x=1:length(best_probs), y=best_probs, color=best_labels, Geom.bar, Guide.ylabel(\"probability\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the predicted class probability is highly concentrated. Here is another example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": [
       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"
      ],
      "text/plain": [
       "RGB4 Image with:\n",
       "  data: 256x256 Array{RGB4{UfixedBase{Uint8,8}},2}\n",
       "  properties:\n",
       "    imagedescription: <suppressed>\n",
       "    spatialorder:  x y\n",
       "    pixelspacing:  1 1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img2 = imread(\"images/bird.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "indigo bunting, indigo finch, indigo bird, Passerina cyanea\n"
     ]
    }
   ],
   "source": [
    "prob, class = classify(classifier, img2)\n",
    "println(class)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 0.3.7",
   "language": "julia",
   "name": "julia-0.3"
  },
  "language_info": {
   "name": "julia",
   "version": "0.3.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}