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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   "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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      "--2019-10-29 08:53:14--  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)... 52.216.100.45\n",
      "Connecting to s3.amazonaws.com (s3.amazonaws.com)|52.216.100.45|: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  66.7MB/s    in 4.9s    \n",
      "\n",
      "2019-10-29 08:53:19 (66.2 MB/s) - ‘/data/train-test-data.zip’ saved [338613624/338613624]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  inflating: /data/training/William_Delahunt_01.jpg  \n",
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      "  inflating: /data/training_frames_keypoints.csv  \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": [],
   "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",
    "\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": 6,
   "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": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe7068f860>"
      ]
     },
     "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 = 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",
    "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": 7,
   "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": 8,
   "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": 9,
   "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 (139, 120, 3) (68, 2)\n",
      "1 (216, 192, 3) (68, 2)\n",
      "2 (196, 160, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe3ad93128>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe3a977fd0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe3ad65278>"
      ]
     },
     "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": 10,
   "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": 11,
   "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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbeb1c7e2b0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "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": 12,
   "metadata": {},
   "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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