1_load_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",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
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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",
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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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      "--2021-05-31 06:07:44--  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)... 52.217.193.200\n",
      "Connecting to s3.amazonaws.com (s3.amazonaws.com)|52.217.193.200|: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  83.9MB/s    in 4.0s    \n",
      "\n",
      "2021-05-31 06:07:48 (81.5 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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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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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": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1d815b7b38>"
      ]
     },
     "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 = 100\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": 25,
   "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": 26,
   "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": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 (155, 157, 3) (68, 2)\n",
      "1 (136, 122, 3) (68, 2)\n"
     ]
    },
    {
     "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": [
      "2 (229, 169, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f54f3aa8b38>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f552409fb70>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f54f368e780>"
      ]
     },
     "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": 33,
   "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": 34,
   "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 0x7f55275082b0>"
      ]
     },
     "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": 35,
   "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": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of images:  3462\n",
      "0 torch.Size([1, 224, 224]) torch.Size([68, 2])\n",
      "1 torch.Size([1, 224, 224]) torch.Size([68, 2])\n",
      "2 torch.Size([1, 224, 224]) torch.Size([68, 2])\n",
      "3 torch.Size([1, 224, 224]) torch.Size([68, 2])\n",
      "4 torch.Size([1, 224, 224]) torch.Size([68, 2])\n"
     ]
    },
    {
     "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"
     ]
    }
   ],
   "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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