visualize.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(64, 64, 64)\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import scipy.ndimage as nd\n",
    "import scipy.io as io\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits import mplot3d\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "\n",
    "# import skimage.measure as sk\n",
    "\n",
    "def plotFromVoxels(voxels):\n",
    "    z,x,y = voxels.nonzero()\n",
    "    fig = plt.figure()\n",
    "    ax = fig.add_subplot(111, projection='3d')\n",
    "    ax.scatter(x, y, -z, zdir='z', c= 'red')\n",
    "    plt.show()\n",
    "\n",
    "def getVoxelFromMat(path, cube_len=64):\n",
    "    voxels = io.loadmat(path)['instance']\n",
    "    voxels = np.pad(voxels,(1,1),'constant',constant_values=(0,0))\n",
    "    if cube_len != 32 and cube_len == 64:\n",
    "        voxels = nd.zoom(voxels, (2,2,2), mode='constant', order=0)\n",
    "    return voxels\n",
    "\n",
    "filename = '/gpfs/share/home/1501210096/datasets/ModelNet/volumetric_data/airplane/30/test/fecbd7475115dc85237c15a579990af3_9.mat'\n",
    "voxels = getVoxelFromMat(filename)\n",
    "\n",
    "# plotFromVoxels(voxels)\n",
    "print(voxels.shape)\n",
    "\n",
    "# filename = 'train_log/img/002000_04.mat'\n",
    "# f = io.loadmat(filename)\n",
    "# print(f)\n",
    "# # print(f['instance'].shape)\n",
    "\n",
    "\n",
    "save_file = 'save.mat'\n",
    "io.savemat(save_file, {'instance': voxels})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(132, 132, 132)\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
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     "output_type": "display_data"
    },
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filename = 'save.mat'\n",
    "voxels = getVoxelFromMat(filename)\n",
    "print(voxelsls.shape)\n",
    "plotFromVoxels(voxels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}