P1_Facial_Keypoints/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",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "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",
    "---"
   ]
  },
  {
   "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."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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     "text": [
      "--2019-10-31 14:10:47--  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)... 52.216.112.21\n",
      "Connecting to s3.amazonaws.com (s3.amazonaws.com)|52.216.112.21|: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  63.6MB/s    in 5.5s    \n",
      "\n",
      "2019-10-31 14:10:52 (58.6 MB/s) - ‘/data/train-test-data.zip’ saved [338613624/338613624]\n",
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      "  inflating: /data/training/Yang_Jianli_01.jpg  \n",
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      "  inflating: /data/training/Zhang_Ziyi_40.jpg  \n",
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      "  inflating: /data/training/Zhong_Nanshan_00.jpg  \n",
      "  inflating: /data/training/Zhong_Nanshan_01.jpg  \n",
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      "  inflating: /data/training/Zhong_Nanshan_50.jpg  \n",
      "  inflating: /data/training/Zhong_Nanshan_51.jpg  \n",
      "  inflating: /data/training/Zhong_Nanshan_52.jpg  \n",
      "  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 0x7f16970e0828>"
      ]
     },
     "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 (160, 128, 3) (68, 2)\n",
      "1 (207, 169, 3) (68, 2)\n",
      "2 (236, 222, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f16617ab1d0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f16613c7fd0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f16617b40b8>"
      ]
     },
     "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 0x7f1660b47ac8>"
      ]
     },
     "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": 13,
   "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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