{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Displaying Video in IPython Notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# Import the required modules\n",
    "%pylab inline \n",
    "import cv2\n",
    "from IPython.display import clear_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Released Video Resource\n"
     ]
    }
   ],
   "source": [
    "# Grab the input device, in this case the webcam\n",
    "# You can also give path to the video file\n",
    "vid = cv2.VideoCapture(\"../data/deepdream/deepdream.mp4\")\n",
    "\n",
    "# Put the code in try-except statements\n",
    "# Catch the keyboard exception and \n",
    "# release the camera device and \n",
    "# continue with the rest of code.\n",
    "try:\n",
    "    while(True):\n",
    "        # Capture frame-by-frame\n",
    "        ret, frame = vid.read()\n",
    "        if not ret:\n",
    "            # Release the Video Device if ret is false\n",
    "            vid.release()\n",
    "            # Message to be displayed after releasing the device\n",
    "            print \"Released Video Resource\"\n",
    "            break\n",
    "        # Convert the image from OpenCV BGR format to matplotlib RGB format\n",
    "        # to display the image\n",
    "        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n",
    "        # Turn off the axis\n",
    "        axis('off')\n",
    "        # Title of the window\n",
    "        title(\"Input Stream\")\n",
    "        # Display the frame\n",
    "        imshow(frame)\n",
    "        show()\n",
    "        # Display the frame until new frame is available\n",
    "        clear_output(wait=True)\n",
    "except KeyboardInterrupt:\n",
    "    # Release the Video Device\n",
    "    vid.release()\n",
    "    # Message to be displayed after releasing the device\n",
    "    print \"Released Video Resource\"\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Below is a video of the above code in action. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!-- TODO -->\n",
       "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/2TT1EKPV_hc\" frameborder=\"0\" allowfullscreen></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<!-- TODO -->\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/2TT1EKPV_hc\" frameborder=\"0\" allowfullscreen></iframe>"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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