1. Load and Visualize Data.ipynb

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    "# Facial Keypoint Detection\n",
    "  \n",
    "This project will be all about defining and training a convolutional neural network to perform facial keypoint detection, and using computer vision techniques to transform images of faces.  The first step in any challenge like this will be to load and visualize the data you'll be working with. \n",
    "\n",
    "Let's take a look at some examples of images and corresponding facial keypoints.\n",
    "\n",
    "<img src='images/key_pts_example.png' width=50% height=50%/>\n",
    "\n",
    "Facial keypoints (also called facial landmarks) are the small magenta dots shown on each of the faces in the image above. In each training and test image, there is a single face and **68 keypoints, with coordinates (x, y), for that face**.  These keypoints mark important areas of the face: the eyes, corners of the mouth, the nose, etc. These keypoints are relevant for a variety of tasks, such as face filters, emotion recognition, pose recognition, and so on. Here they are, numbered, and you can see that specific ranges of points match different portions of the face.\n",
    "\n",
    "<img src='images/landmarks_numbered.jpg' width=30% height=30%/>\n",
    "\n",
    "---"
   ]
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   "source": [
    "## Load and Visualize Data\n",
    "\n",
    "The first step in working with any dataset is to become familiar with your data; you'll need to load in the images of faces and their keypoints and visualize them! This set of image data has been extracted from the [YouTube Faces Dataset](https://www.cs.tau.ac.il/~wolf/ytfaces/), which includes videos of people in YouTube videos. These videos have been fed through some processing steps and turned into sets of image frames containing one face and the associated keypoints.\n",
    "\n",
    "#### Training and Testing Data\n",
    "\n",
    "This facial keypoints dataset consists of 5770 color images. All of these images are separated into either a training or a test set of data.\n",
    "\n",
    "* 3462 of these images are training images, for you to use as you create a model to predict keypoints.\n",
    "* 2308 are test images, which will be used to test the accuracy of your model.\n",
    "\n",
    "The information about the images and keypoints in this dataset are summarized in CSV files, which we can read in using `pandas`. Let's read the training CSV and get the annotations in an (N, 2) array where N is the number of keypoints and 2 is the dimension of the keypoint coordinates (x, y).\n",
    "\n",
    "---"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, before we do anything, we have to load in our image data. This data is stored in a zip file and in the below cell, we access it by it's URL and unzip the data in a `/data/` directory that is separate from the workspace home directory."
   ]
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     "text": [
      "mkdir: cannot create directory ‘/data’: File exists\n",
      "--2020-05-04 09:38:05--  https://s3.amazonaws.com/video.udacity-data.com/topher/2018/May/5aea1b91_train-test-data/train-test-data.zip\n",
      "Resolving s3.amazonaws.com (s3.amazonaws.com)... 52.216.109.61\n",
      "Connecting to s3.amazonaws.com (s3.amazonaws.com)|52.216.109.61|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 338613624 (323M) [application/zip]\n",
      "Saving to: ‘/data/train-test-data.zip’\n",
      "\n",
      "train-test-data.zip 100%[===================>] 322.93M  79.2MB/s    in 4.1s    \n",
      "\n",
      "2020-05-04 09:38:09 (78.1 MB/s) - ‘/data/train-test-data.zip’ saved [338613624/338613624]\n",
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      "Archive:  /data/train-test-data.zip\n",
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      "  inflating: /data/training/Zhong_Nanshan_52.jpg  \n",
      "  inflating: /data/training_frames_keypoints.csv  \r\n"
     ]
    }
   ],
   "source": [
    "# -- DO NOT CHANGE THIS CELL -- #\n",
    "!mkdir /data\n",
    "!wget -P /data/ https://s3.amazonaws.com/video.udacity-data.com/topher/2018/May/5aea1b91_train-test-data/train-test-data.zip\n",
    "!unzip -n /data/train-test-data.zip -d /data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.4.0\n"
     ]
    }
   ],
   "source": [
    "# import the required libraries\n",
    "import glob\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "import torch \n",
    "print(torch.__version__)\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, let's load in our training data and display some stats about that dat ato make sure it's been loaded in correctly!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image name:  Luis_Fonsi_21.jpg\n",
      "Landmarks shape:  (68, 2)\n",
      "First 4 key pts: [[  45.   98.]\n",
      " [  47.  106.]\n",
      " [  49.  110.]\n",
      " [  53.  119.]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:5: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  \"\"\"\n"
     ]
    }
   ],
   "source": [
    "key_pts_frame = pd.read_csv('/data/training_frames_keypoints.csv')\n",
    "\n",
    "n = 0\n",
    "image_name = key_pts_frame.iloc[n, 0]\n",
    "key_pts = key_pts_frame.iloc[n, 1:].as_matrix()\n",
    "key_pts = key_pts.astype('float').reshape(-1, 2)\n",
    "\n",
    "print('Image name: ', image_name)\n",
    "print('Landmarks shape: ', key_pts.shape)\n",
    "print('First 4 key pts: {}'.format(key_pts[:4]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of images:  3462\n"
     ]
    }
   ],
   "source": [
    "# print out some stats about the data\n",
    "print('Number of images: ', key_pts_frame.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Look at some images\n",
    "\n",
    "Below, is a function `show_keypoints` that takes in an image and keypoints and displays them.  As you look at this data, **note that these images are not all of the same size**, and neither are the faces! To eventually train a neural network on these images, we'll need to standardize their shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_keypoints(image, key_pts):\n",
    "    \"\"\"Show image with keypoints\"\"\"\n",
    "    plt.imshow(image)\n",
    "    plt.scatter(key_pts[:, 0], key_pts[:, 1], s=20, marker='.', c='m')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:6: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  \n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f682370c278>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display a few different types of images by changing the index n\n",
    "\n",
    "# select an image by index in our data frame\n",
    "n = 1\n",
    "image_name = key_pts_frame.iloc[n, 0]\n",
    "key_pts = key_pts_frame.iloc[n, 1:].as_matrix()\n",
    "key_pts = key_pts.astype('float').reshape(-1, 2)\n",
    "\n",
    "plt.figure(figsize=(5, 5))\n",
    "show_keypoints(mpimg.imread(os.path.join('/data/training/', image_name)), key_pts)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset class and Transformations\n",
    "\n",
    "To prepare our data for training, we'll be using PyTorch's Dataset class. Much of this this code is a modified version of what can be found in the [PyTorch data loading tutorial](http://pytorch.org/tutorials/beginner/data_loading_tutorial.html).\n",
    "\n",
    "#### Dataset class\n",
    "\n",
    "``torch.utils.data.Dataset`` is an abstract class representing a\n",
    "dataset. This class will allow us to load batches of image/keypoint data, and uniformly apply transformations to our data, such as rescaling and normalizing images for training a neural network.\n",
    "\n",
    "\n",
    "Your custom dataset should inherit ``Dataset`` and override the following\n",
    "methods:\n",
    "\n",
    "-  ``__len__`` so that ``len(dataset)`` returns the size of the dataset.\n",
    "-  ``__getitem__`` to support the indexing such that ``dataset[i]`` can\n",
    "   be used to get the i-th sample of image/keypoint data.\n",
    "\n",
    "Let's create a dataset class for our face keypoints dataset. We will\n",
    "read the CSV file in ``__init__`` but leave the reading of images to\n",
    "``__getitem__``. This is memory efficient because all the images are not\n",
    "stored in the memory at once but read as required.\n",
    "\n",
    "A sample of our dataset will be a dictionary\n",
    "``{'image': image, 'keypoints': key_pts}``. Our dataset will take an\n",
    "optional argument ``transform`` so that any required processing can be\n",
    "applied on the sample. We will see the usefulness of ``transform`` in the\n",
    "next section.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import Dataset, DataLoader\n",
    "\n",
    "class FacialKeypointsDataset(Dataset):\n",
    "    \"\"\"Face Landmarks dataset.\"\"\"\n",
    "\n",
    "    def __init__(self, csv_file, root_dir, transform=None):\n",
    "        \"\"\"\n",
    "        Args:\n",
    "            csv_file (string): Path to the csv file with annotations.\n",
    "            root_dir (string): Directory with all the images.\n",
    "            transform (callable, optional): Optional transform to be applied\n",
    "                on a sample.\n",
    "        \"\"\"\n",
    "        self.key_pts_frame = pd.read_csv(csv_file)\n",
    "        self.root_dir = root_dir\n",
    "        self.transform = transform\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.key_pts_frame)\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        image_name = os.path.join(self.root_dir,\n",
    "                                self.key_pts_frame.iloc[idx, 0])\n",
    "        \n",
    "        image = mpimg.imread(image_name)\n",
    "        \n",
    "        # if image has an alpha color channel, get rid of it\n",
    "        if(image.shape[2] == 4):\n",
    "            image = image[:,:,0:3]\n",
    "        \n",
    "        key_pts = self.key_pts_frame.iloc[idx, 1:].as_matrix()\n",
    "        key_pts = key_pts.astype('float').reshape(-1, 2)\n",
    "        sample = {'image': image, 'keypoints': key_pts}\n",
    "\n",
    "        if self.transform:\n",
    "            sample = self.transform(sample)\n",
    "\n",
    "        return sample"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we've defined this class, let's instantiate the dataset and display some images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length of dataset:  3462\n"
     ]
    }
   ],
   "source": [
    "# Construct the dataset\n",
    "face_dataset = FacialKeypointsDataset(csv_file='/data/training_frames_keypoints.csv',\n",
    "                                      root_dir='/data/training/')\n",
    "\n",
    "# print some stats about the dataset\n",
    "print('Length of dataset: ', len(face_dataset))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:31: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 (282, 248, 3) (68, 2)\n",
      "1 (148, 121, 3) (68, 2)\n",
      "2 (237, 239, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f682370c5f8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f67ed7934a8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f67ed7c2320>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display a few of the images from the dataset\n",
    "num_to_display = 3\n",
    "\n",
    "for i in range(num_to_display):\n",
    "    \n",
    "    # define the size of images\n",
    "    fig = plt.figure(figsize=(20,10))\n",
    "    \n",
    "    # randomly select a sample\n",
    "    rand_i = np.random.randint(0, len(face_dataset))\n",
    "    sample = face_dataset[rand_i]\n",
    "\n",
    "    # print the shape of the image and keypoints\n",
    "    print(i, sample['image'].shape, sample['keypoints'].shape)\n",
    "\n",
    "    ax = plt.subplot(1, num_to_display, i + 1)\n",
    "    ax.set_title('Sample #{}'.format(i))\n",
    "    \n",
    "    # Using the same display function, defined earlier\n",
    "    show_keypoints(sample['image'], sample['keypoints'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transforms\n",
    "\n",
    "Now, the images above are not of the same size, and neural networks often expect images that are standardized; a fixed size, with a normalized range for color ranges and coordinates, and (for PyTorch) converted from numpy lists and arrays to Tensors.\n",
    "\n",
    "Therefore, we will need to write some pre-processing code.\n",
    "Let's create four transforms:\n",
    "\n",
    "-  ``Normalize``: to convert a color image to grayscale values with a range of [0,1] and normalize the keypoints to be in a range of about [-1, 1]\n",
    "-  ``Rescale``: to rescale an image to a desired size.\n",
    "-  ``RandomCrop``: to crop an image randomly.\n",
    "-  ``ToTensor``: to convert numpy images to torch images.\n",
    "\n",
    "\n",
    "We will write them as callable classes instead of simple functions so\n",
    "that parameters of the transform need not be passed everytime it's\n",
    "called. For this, we just need to implement ``__call__`` method and \n",
    "(if we require parameters to be passed in), the ``__init__`` method. \n",
    "We can then use a transform like this:\n",
    "\n",
    "    tx = Transform(params)\n",
    "    transformed_sample = tx(sample)\n",
    "\n",
    "Observe below how these transforms are generally applied to both the image and its keypoints.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torchvision import transforms, utils\n",
    "# tranforms\n",
    "\n",
    "class Normalize(object):\n",
    "    \"\"\"Convert a color image to grayscale and normalize the color range to [0,1].\"\"\"        \n",
    "\n",
    "    def __call__(self, sample):\n",
    "        image, key_pts = sample['image'], sample['keypoints']\n",
    "        \n",
    "        image_copy = np.copy(image)\n",
    "        key_pts_copy = np.copy(key_pts)\n",
    "\n",
    "        # convert image to grayscale\n",
    "        image_copy = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)\n",
    "        \n",
    "        # scale color range from [0, 255] to [0, 1]\n",
    "        image_copy=  image_copy/255.0\n",
    "        \n",
    "        # scale keypoints to be centered around 0 with a range of [-1, 1]\n",
    "        # mean = 100, sqrt = 50, so, pts should be (pts - 100)/50\n",
    "        key_pts_copy = (key_pts_copy - 100)/50.0\n",
    "\n",
    "\n",
    "        return {'image': image_copy, 'keypoints': key_pts_copy}\n",
    "\n",
    "\n",
    "class Rescale(object):\n",
    "    \"\"\"Rescale the image in a sample to a given size.\n",
    "\n",
    "    Args:\n",
    "        output_size (tuple or int): Desired output size. If tuple, output is\n",
    "            matched to output_size. If int, smaller of image edges is matched\n",
    "            to output_size keeping aspect ratio the same.\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, output_size):\n",
    "        assert isinstance(output_size, (int, tuple))\n",
    "        self.output_size = output_size\n",
    "\n",
    "    def __call__(self, sample):\n",
    "        image, key_pts = sample['image'], sample['keypoints']\n",
    "\n",
    "        h, w = image.shape[:2]\n",
    "        if isinstance(self.output_size, int):\n",
    "            if h > w:\n",
    "                new_h, new_w = self.output_size * h / w, self.output_size\n",
    "            else:\n",
    "                new_h, new_w = self.output_size, self.output_size * w / h\n",
    "        else:\n",
    "            new_h, new_w = self.output_size\n",
    "\n",
    "        new_h, new_w = int(new_h), int(new_w)\n",
    "\n",
    "        img = cv2.resize(image, (new_w, new_h))\n",
    "        \n",
    "        # scale the pts, too\n",
    "        key_pts = key_pts * [new_w / w, new_h / h]\n",
    "\n",
    "        return {'image': img, 'keypoints': key_pts}\n",
    "\n",
    "\n",
    "class RandomCrop(object):\n",
    "    \"\"\"Crop randomly the image in a sample.\n",
    "\n",
    "    Args:\n",
    "        output_size (tuple or int): Desired output size. If int, square crop\n",
    "            is made.\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, output_size):\n",
    "        assert isinstance(output_size, (int, tuple))\n",
    "        if isinstance(output_size, int):\n",
    "            self.output_size = (output_size, output_size)\n",
    "        else:\n",
    "            assert len(output_size) == 2\n",
    "            self.output_size = output_size\n",
    "\n",
    "    def __call__(self, sample):\n",
    "        image, key_pts = sample['image'], sample['keypoints']\n",
    "\n",
    "        h, w = image.shape[:2]\n",
    "        new_h, new_w = self.output_size\n",
    "\n",
    "        top = np.random.randint(0, h - new_h)\n",
    "        left = np.random.randint(0, w - new_w)\n",
    "\n",
    "        image = image[top: top + new_h,\n",
    "                      left: left + new_w]\n",
    "\n",
    "        key_pts = key_pts - [left, top]\n",
    "\n",
    "        return {'image': image, 'keypoints': key_pts}\n",
    "\n",
    "\n",
    "class ToTensor(object):\n",
    "    \"\"\"Convert ndarrays in sample to Tensors.\"\"\"\n",
    "\n",
    "    def __call__(self, sample):\n",
    "        image, key_pts = sample['image'], sample['keypoints']\n",
    "         \n",
    "        # if image has no grayscale color channel, add one\n",
    "        if(len(image.shape) == 2):\n",
    "            # add that third color dim\n",
    "            image = image.reshape(image.shape[0], image.shape[1], 1)\n",
    "            \n",
    "        # swap color axis because\n",
    "        # numpy image: H x W x C\n",
    "        # torch image: C X H X W\n",
    "        image = image.transpose((2, 0, 1))\n",
    "        \n",
    "        return {'image': torch.from_numpy(image),\n",
    "                'keypoints': torch.from_numpy(key_pts)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test out the transforms\n",
    "\n",
    "Let's test these transforms out to make sure they behave as expected. As you look at each transform, note that, in this case, **order does matter**. For example, you cannot crop a image using a value smaller than the original image (and the orginal images vary in size!), but, if you first rescale the original image, you can then crop it to any size smaller than the rescaled size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# test out some of these transforms\n",
    "rescale = Rescale(100)\n",
    "crop = RandomCrop(50)\n",
    "composed = transforms.Compose([Rescale(250),\n",
    "                               RandomCrop(224)])\n",
    "\n",
    "# apply the transforms to a sample image\n",
    "test_num = 500\n",
    "sample = face_dataset[test_num]\n",
    "\n",
    "fig = plt.figure()\n",
    "for i, tx in enumerate([rescale, crop, composed]):\n",
    "    transformed_sample = tx(sample)\n",
    "\n",
    "    ax = plt.subplot(1, 3, i + 1)\n",
    "    plt.tight_layout()\n",
    "    ax.set_title(type(tx).__name__)\n",
    "    show_keypoints(transformed_sample['image'], transformed_sample['keypoints'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the transformed dataset\n",
    "\n",
    "Apply the transforms in order to get grayscale images of the same shape. Verify that your transform works by printing out the shape of the resulting data (printing out a few examples should show you a consistent tensor size)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# define the data tranform\n",
    "# order matters! i.e. rescaling should come before a smaller crop\n",
    "data_transform = transforms.Compose([Rescale(250),\n",
    "                                     RandomCrop(224),\n",
    "                                     Normalize(),\n",
    "                                     ToTensor()])\n",
    "\n",
    "# create the transformed dataset\n",
    "transformed_dataset = FacialKeypointsDataset(csv_file='/data/training_frames_keypoints.csv',\n",
    "                                             root_dir='/data/training/',\n",
    "                                             transform=data_transform)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# print some stats about the transformed data\n",
    "print('Number of images: ', len(transformed_dataset))\n",
    "\n",
    "# make sure the sample tensors are the expected size\n",
    "for i in range(5):\n",
    "    sample = transformed_dataset[i]\n",
    "    print(i, sample['image'].size(), sample['keypoints'].size())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Iteration and Batching\n",
    "\n",
    "Right now, we are iterating over this data using a ``for`` loop, but we are missing out on a lot of PyTorch's dataset capabilities, specifically the abilities to:\n",
    "\n",
    "-  Batch the data\n",
    "-  Shuffle the data\n",
    "-  Load the data in parallel using ``multiprocessing`` workers.\n",
    "\n",
    "``torch.utils.data.DataLoader`` is an iterator which provides all these\n",
    "features, and we'll see this in use in the *next* notebook, Notebook 2, when we load data in batches to train a neural network!\n",
    "\n",
    "---\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ready to Train!\n",
    "\n",
    "Now that you've seen how to load and transform our data, you're ready to build a neural network to train on this data.\n",
    "\n",
    "In the next notebook, you'll be tasked with creating a CNN for facial keypoint detection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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