path: root/megapixels/notebooks/face_analysis/3d_face_plot_cpdp.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3D Face Plot\n",
    "\n",
    "Attenzione visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import os\n",
    "from os.path import join\n",
    "import sys\n",
    "import time\n",
    "from random import randint\n",
    "import random\n",
    "\n",
    "import cv2 as cv\n",
    "import numpy as np\n",
    "import imutils\n",
    "import matplotlib.animation\n",
    "%matplotlib notebook\n",
    "from glob import glob\n",
    "from matplotlib import cbook\n",
    "from matplotlib import cm\n",
    "#from matplotlib.colors import LightSource\n",
    "import face_alignment\n",
    "import numpy as np\n",
    "\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "import mpl_toolkits.mplot3d.axes3d as p3\n",
    "from matplotlib import animation\n",
    "\n",
    "from skimage import io\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "from IPython.display import clear_output\n",
    "from pathlib import Path\n",
    "\n",
    "sys.path.append('/work/megapixels_dev/megapixels/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate random hex colors\n",
    "def rhex():\n",
    "  r = lambda: random.randint(0,255)\n",
    "  return '#%02X%02X%02X' % (r(), r(), r())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# init 3d face\n",
    "# Run the 3D face alignment on a test image, without CUDA.\n",
    "fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, device='cuda:0', flip_input=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp_im = '/home/adam/Nextcloud/files-ahprojects-com/ahprojects/cpdp_politicians/trump/trump_4.jpg'\n",
    "im = cv.imread(fp_im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_3d_face_plain(im, lm):\n",
    "  preds = lm\n",
    "  fig = plt.figure(figsize=plt.figaspect(.5))\n",
    "  ax = fig.add_subplot(1, 2, 1)\n",
    "  ax.imshow(im)\n",
    "  ax.plot(preds[0:17,0],preds[0:17,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[17:22,0],preds[17:22,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[22:27,0],preds[22:27,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[27:31,0],preds[27:31,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[31:36,0],preds[31:36,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[36:42,0],preds[36:42,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[42:48,0],preds[42:48,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[48:60,0],preds[48:60,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n",
    "  ax.plot(preds[60:68,0],preds[60:68,1],marker='o',markersize=6,linestyle='-',color='w',lw=2) \n",
    "  ax.axis('off')\n",
    "\n",
    "  ax = fig.add_subplot(1, 2, 2, projection='3d')\n",
    "  surf = ax.scatter(preds[:,0]*1.2,preds[:,1],preds[:,2],c=\"cyan\", alpha=1.0, edgecolor='b')\n",
    "  ax.plot3D(preds[:17,0]*1.2,preds[:17,1], preds[:17,2], color='blue' )\n",
    "  ax.plot3D(preds[17:22,0]*1.2,preds[17:22,1],preds[17:22,2], color='blue')\n",
    "  ax.plot3D(preds[22:27,0]*1.2,preds[22:27,1],preds[22:27,2], color='blue')\n",
    "  ax.plot3D(preds[27:31,0]*1.2,preds[27:31,1],preds[27:31,2], color='blue')\n",
    "  ax.plot3D(preds[31:36,0]*1.2,preds[31:36,1],preds[31:36,2], color='blue')\n",
    "  ax.plot3D(preds[36:42,0]*1.2,preds[36:42,1],preds[36:42,2], color='blue')\n",
    "  ax.plot3D(preds[42:48,0]*1.2,preds[42:48,1],preds[42:48,2], color='blue')\n",
    "  ax.plot3D(preds[48:,0]*1.2,preds[48:,1],preds[48:,2], color='blue' )\n",
    "  \n",
    "  # pad\n",
    "  xmm = (np.min(lm[:,0]),np.max(lm[:,0]))\n",
    "  ymm = (np.min(lm[:,1]),np.max(lm[:,1]))\n",
    "  zmm = (np.min(lm[:,2]),np.max(lm[:,2]))\n",
    "  \n",
    "  print(xmm, ymm, zmm)\n",
    "#   ax.set_xticks([])\n",
    "#   ax.set_yticks([])\n",
    "#   ax.set_zticks([])\n",
    "  plt.setp( ax.get_xticklabels(), visible=False)\n",
    "  plt.setp( ax.get_yticklabels(), visible=False)\n",
    "  #ax.set_xlim(xmm[0]-50, xmm[1]+50)\n",
    "  #ax.set_ylim(ymm[0]-50, ymm[1]+50)\n",
    "  #ax.set_ylim(zmm[0]- .1*zmm[0],zmm[1] + .1*zmm[1])\n",
    "  #ax.set_ylim(103, 275)\n",
    "  #ax.set_zlim((-100,100))\n",
    "  ax.view_init(elev=15., azim=135.)\n",
    "\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "from app.utils import im_utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "im = cv.imread(fp_im)\n",
    "im_resized = im_utils.resize(im, width=600, height=600)\n",
    "im_rgb = cv.cvtColor(im, cv.COLOR_BGR2RGB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import dlib\n",
    "from app.processors import face_detector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "#face_detector = face_detector.DetectorDLIBCNN(gpu=0)  # -1 for CPU\n",
    "face_detector = face_detector.DetectorCVDNN()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "detecting face...\n"
     ]
    }
   ],
   "source": [
    "print('detecting face...')\n",
    "st = time.time()\n",
    "bboxes = face_detector.detect(im_resized, largest=True, pyramids=1)\n",
    "bbox = bboxes[0].to_dim(im_resized.shape[:2][::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(179, 87, 315, 273)\n"
     ]
    }
   ],
   "source": [
    "#bbox = bbox.expand(.1)\n",
    "bbox = bbox.to_xyxy()\n",
    "print(bbox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "points = fa.get_landmarks_from_image(im_resized, [bbox] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
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       "                \"This browser does not support binary websocket messages. \" +\n",
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       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
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       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
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       "    this.root.append(titlebar);\n",
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       "\n",
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       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
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       "    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",
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       "\n",
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       "\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",
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       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
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       "\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 overridden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"959.2166666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(225.0, 423.0) (190.0, 359.0) (-91.38113, 62.994495)\n"
     ]
    }
   ],
   "source": [
    "lm = fa.get_landmarks(im_rgb)[-1]\n",
    "generate_3d_face_plain(im_rgb, lm)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "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",
       "        fig.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 overridden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"959.2166666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(225.0, 423.0) (190.0, 359.0) (-91.38113, 62.994495)\n"
     ]
    }
   ],
   "source": [
    "im = cv.imread(fp_im)\n",
    "im_rgb = cv.cvtColor(im, cv.COLOR_BGR2RGB)\n",
    "lm = fa.get_landmarks(im_rgb)[-1]\n",
    "generate_3d_face_plain(im_rgb, lm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "\"RGB:0/51/153 (hexadecimal: 003399)\" for \"PANTONE REFLEX BLUE\" and \"RGB:255/204/0 (hexadecimal: FFCC00)\" for \"PANTONE YELLOW\" for the web palette (the limited 12\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    " # line weight\n",
    "def generate_3d_face_anim(lm, fp_out, num_frames=30, dpi=72, stroke_weight=0, size=(480,480),\n",
    "  mark_size=2, mark_type='*', mark_clr=(0,255,0), fps=10, transparent=False):\n",
    "  '''Generates 3D plot of face landmarks\n",
    "  '''\n",
    "  # convert opencv BGR numpy image to RGB\n",
    "  bg_color = '#%02x%02x%02x' % (0,51,153)\n",
    "  mark_clr = '#%02x%02x%02x' % (255,204,0)\n",
    "  \n",
    "  # scale to make larger\n",
    "  #lm = np.array([1.2*x,y,z] for x,y,z in list(lm))\n",
    "  \n",
    "  # center x,y,z\n",
    "  xmm = (np.min(lm[:,0]),np.max(lm[:,0]))\n",
    "  ymm = (np.min(lm[:,1]),np.max(lm[:,1]))\n",
    "  zmm = (np.min(lm[:,2]),np.max(lm[:,2]))\n",
    "  \n",
    "  # make copy of landmarks\n",
    "  lm_orig = lm.copy()\n",
    "  xmm = (np.min(lm_orig[:,0]),np.max(lm_orig[:,0]))\n",
    "  ymm = (np.min(lm_orig[:,1]),np.max(lm_orig[:,1]))\n",
    "  zmm = (np.min(lm_orig[:,2]),np.max(lm_orig[:,2]))\n",
    "  \n",
    "  # swap the y and z components to improve 3d rotation angles for matplotlib\n",
    "  lm = np.zeros_like(lm_orig).astype(np.uint8)\n",
    "  for i,p in enumerate(lm_orig):\n",
    "    x,y,z = p\n",
    "    lm[i] = np.array([x - xmm[0], z - zmm[0], y - ymm[0]])\n",
    "  \n",
    "  # Create plot\n",
    "  figsize = (size[0]/dpi, size[1]/dpi )\n",
    "  fig = plt.figure(figsize=figsize, dpi=dpi)  # frameon=False\n",
    "  #fig.set_size_inches(100/100, 1, forward=False)\n",
    "  fig.tight_layout()\n",
    "  fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)\n",
    "  ax = fig.add_subplot(111, projection='3d')\n",
    "  ax.set_facecolor(bg_color) # background color\n",
    "  \n",
    "  xscale, yscale, zscale = (1.2, 1.0, 1.0)\n",
    "  \n",
    "  # scatter plot the dots\n",
    "  # jaw line\n",
    "  #mark_clr = '#%02x%02x%02x' % (0,255,0)  # green\n",
    "  ax.plot3D(lm[:17,0]*1.2,lm[:17,1], lm[:17,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # stage-right eyebrow\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,0,0)  # green\n",
    "  ax.plot3D(lm[17:22,0]*1.2,lm[17:22,1],lm[17:22,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # stage-left eyebrow\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,255,0)  # yellow\n",
    "  ax.plot3D(lm[22:27,0]*1.2,lm[22:27,1],lm[22:27,2], \n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # nose ridge\n",
    "  #mark_clr = '#%02x%02x%02x' % (0,0,255)  # blue\n",
    "  ax.plot3D(lm[27:31,0]*1.2,lm[27:31,1],lm[27:31,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # nose-bottom\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,0,255)  # magenta\n",
    "  ax.plot3D(lm[31:36,0]*1.2,lm[31:36,1],lm[31:36,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # stage-left eye\n",
    "  #mark_clr = '#%02x%02x%02x' % (0,255,255)  # cyan\n",
    "  px, py, pz = lm[36:42,0]*1.2,lm[36:42,1],lm[36:42,2]\n",
    "  px = np.append(px, lm[36,0]*1.2)\n",
    "  py = np.append(py, lm[36,1])\n",
    "  pz = np.append(pz, lm[36,2])\n",
    "  ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  \n",
    "  # stage-right eye\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,255,255)  # white\n",
    "  px, py, pz = lm[42:48,0]*1.2,lm[42:48,1],lm[42:48,2]\n",
    "  px = np.append(px, lm[42,0]*1.2)\n",
    "  py = np.append(py, lm[42,1])\n",
    "  pz = np.append(pz, lm[42,2])\n",
    "  ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  \n",
    "  # mouth\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,125,0)  # orange?\n",
    "  px, py, pz = lm[48:,0]*1.2,lm[48:,1],lm[48:,2]\n",
    "  px = np.append(px, lm[48,0]*1.2)\n",
    "  py = np.append(py, lm[48,1])\n",
    "  pz = np.append(pz, lm[48,2])\n",
    "  ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr, linewidth=stroke_weight)\n",
    "  \n",
    "  rh = '#00ff00'  # edge color\n",
    "  #ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=35, edgecolor=rh)\n",
    "  #ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=1)\n",
    "  \n",
    "  # center center x,y,z points\n",
    "  cx = ((xmm[0] - xmm[1]) // 2) + xmm[1]\n",
    "  cy = ((ymm[1] - ymm[0]) // 2) + ymm[0]\n",
    "  cz = ((zmm[1] - zmm[0]) // 2) + zmm[0]\n",
    "  \n",
    "  # set initial plot view\n",
    "  ax.view_init(elev=120., azim=70.)\n",
    "  \n",
    "  # remove ticks\n",
    "  ax.set_xticks([])\n",
    "  ax.set_yticks([])\n",
    "  ax.set_zticks([])\n",
    "    \n",
    "  # remove axis\n",
    "  ax.set_frame_on(False)\n",
    "  ax.set_axis_off()\n",
    "\n",
    "  # rotation increments: from 0 to 360 in num_frames\n",
    "  phi = np.linspace(np.pi/2, 2*np.pi, num_frames)\n",
    "\n",
    "  def update(phi):\n",
    "    ax.view_init(180,phi*180./np.pi)\n",
    "  \n",
    "  ani = matplotlib.animation.FuncAnimation(fig, update, frames=phi)\n",
    "  savefig_kwargs = {'pad_inches': 0, 'transparent': transparent}\n",
    "  ani.save(fp_out, writer='imagemagick', fps=fps, savefig_kwargs=savefig_kwargs)\n",
    "  clear_output()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    " # line weight\n",
    "def generate_3d_face(lm, fp_out, num_frames=30, dpi=72, stroke_weight=0, size=(480,480),\n",
    "  mark_size=2, mark_type='*', mark_clr=(0,255,0), fps=10, transparent=False):\n",
    "  '''Generates 3D plot of face landmarks\n",
    "  '''\n",
    "  # convert opencv BGR numpy image to RGB\n",
    "  bg_color = '#%02x%02x%02x' % (0,51,153)\n",
    "  mark_clr = '#%02x%02x%02x' % (255,204,0)\n",
    "  \n",
    "  # scale to make larger\n",
    "  #lm = np.array([1.2*x,y,z] for x,y,z in list(lm))\n",
    "  \n",
    "  # center x,y,z\n",
    "  xmm = (np.min(lm[:,0]),np.max(lm[:,0]))\n",
    "  ymm = (np.min(lm[:,1]),np.max(lm[:,1]))\n",
    "  zmm = (np.min(lm[:,2]),np.max(lm[:,2]))\n",
    "  \n",
    "  # make copy of landmarks\n",
    "  lm_orig = lm.copy()\n",
    "  xmm = (np.min(lm_orig[:,0]),np.max(lm_orig[:,0]))\n",
    "  ymm = (np.min(lm_orig[:,1]),np.max(lm_orig[:,1]))\n",
    "  zmm = (np.min(lm_orig[:,2]),np.max(lm_orig[:,2]))\n",
    "  \n",
    "  # swap the y and z components to improve 3d rotation angles for matplotlib\n",
    "  lm = np.zeros_like(lm_orig).astype(np.uint8)\n",
    "  for i,p in enumerate(lm_orig):\n",
    "    x,y,z = p\n",
    "    lm[i] = np.array([x - xmm[0], z - zmm[0], y - ymm[0]])\n",
    "  \n",
    "  # Create plot\n",
    "  \n",
    "  figsize = (size[0]/dpi, size[1]/dpi )\n",
    "  fig = plt.figure(figsize=figsize, dpi=dpi)  # frameon=False\n",
    "  #fig.set_size_inches(100/100, 1, forward=False)\n",
    "  fig.tight_layout()\n",
    "  fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)\n",
    "  ax = fig.add_subplot(111, projection='3d')\n",
    "  ax.set_facecolor(bg_color) # background color\n",
    "  \n",
    "  xscale, yscale, zscale = (1.2, 1.0, 1.0)\n",
    "  \n",
    "  # scatter plot the dots\n",
    "  # jaw line\n",
    "  #mark_clr = '#%02x%02x%02x' % (0,255,0)  # green\n",
    "  ax.plot3D(lm[:17,0]*1.2,lm[:17,1], lm[:17,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # stage-right eyebrow\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,0,0)  # green\n",
    "  ax.plot3D(lm[17:22,0]*1.2,lm[17:22,1],lm[17:22,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # stage-left eyebrow\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,255,0)  # yellow\n",
    "  ax.plot3D(lm[22:27,0]*1.2,lm[22:27,1],lm[22:27,2], \n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # nose ridge\n",
    "  #mark_clr = '#%02x%02x%02x' % (0,0,255)  # blue\n",
    "  ax.plot3D(lm[27:31,0]*1.2,lm[27:31,1],lm[27:31,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # nose-bottom\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,0,255)  # magenta\n",
    "  ax.plot3D(lm[31:36,0]*1.2,lm[31:36,1],lm[31:36,2],\n",
    "            marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  # stage-left eye\n",
    "  #mark_clr = '#%02x%02x%02x' % (0,255,255)  # cyan\n",
    "  px, py, pz = lm[36:42,0]*1.2,lm[36:42,1],lm[36:42,2]\n",
    "  px = np.append(px, lm[36,0]*1.2)\n",
    "  py = np.append(py, lm[36,1])\n",
    "  pz = np.append(pz, lm[36,2])\n",
    "  ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  \n",
    "  # stage-right eye\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,255,255)  # white\n",
    "  px, py, pz = lm[42:48,0]*1.2,lm[42:48,1],lm[42:48,2]\n",
    "  px = np.append(px, lm[42,0]*1.2)\n",
    "  py = np.append(py, lm[42,1])\n",
    "  pz = np.append(pz, lm[42,2])\n",
    "  ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n",
    "  \n",
    "  # mouth\n",
    "  #mark_clr = '#%02x%02x%02x' % (255,125,0)  # orange?\n",
    "  px, py, pz = lm[48:,0]*1.2,lm[48:,1],lm[48:,2]\n",
    "  px = np.append(px, lm[48,0]*1.2)\n",
    "  py = np.append(py, lm[48,1])\n",
    "  pz = np.append(pz, lm[48,2])\n",
    "  ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr, linewidth=stroke_weight)\n",
    "  \n",
    "  rh = '#%02x%02x%02x' % (255,224,10) # edge color\n",
    "  ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=35, edgecolor=rh)\n",
    "  ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=1)\n",
    "  \n",
    "  # center center x,y,z points\n",
    "  cx = ((xmm[0] - xmm[1]) // 2) + xmm[1]\n",
    "  cy = ((ymm[1] - ymm[0]) // 2) + ymm[0]\n",
    "  cz = ((zmm[1] - zmm[0]) // 2) + zmm[0]\n",
    "  \n",
    "  # set initial plot view\n",
    "  ax.view_init(elev=180., azim=90.)\n",
    "  \n",
    "  # remove ticks\n",
    "  ax.set_xticks([])\n",
    "  ax.set_yticks([])\n",
    "  ax.set_zticks([])\n",
    "    \n",
    "  # remove axis\n",
    "  ax.set_frame_on(False)\n",
    "  ax.set_axis_off()\n",
    "\n",
    "  # rotation increments: from 0 to 360 in num_frames\n",
    "  phi = np.linspace(np.pi/2, 2*np.pi, num_frames)\n",
    "\n",
    "  plt.savefig(fp_out)\n",
    "  fig.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "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",
       "        fig.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 overridden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"1999.9499999999998\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# filepaths\n",
    "dir_out = '/home/adam/Downloads/'\n",
    "fp_out = join(dir_out, f'{Path(fp_im).stem}.svg')\n",
    "# generate 3D face\n",
    "generate_3d_face(lm,fp_out, size=(2000,2000), stroke_weight=2, mark_size=34,\n",
    "                 mark_type='*')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:megapixels]",
   "language": "python",
   "name": "conda-env-megapixels-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}