Merge pull request udacity#85 from GabrielePicco/chapther6AllowLoadFromURL

Added ability to load images from an URL

Author: jchernus

Diff for: style-transfer/Style_Transfer_Exercise.ipynb

@@ -38,11 +38,13 @@
     "%matplotlib inline\n",
     "\n",
     "from PIL import Image\n",
+    "from io import BytesIO\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
     "import torch\n",
     "import torch.optim as optim\n",
+    "import requests\n",
     "from torchvision import transforms, models"
    ]
   },
@@ -109,8 +111,11 @@
     "def load_image(img_path, max_size=400, shape=None):\n",
     "    ''' Load in and transform an image, making sure the image\n",
     "       is <= 400 pixels in the x-y dims.'''\n",
-    "    \n",
-    "    image = Image.open(img_path).convert('RGB')\n",
+    "    if \"http\" in img_path:\n",
+    "        response = requests.get(img_path)\n",
+    "        image = Image.open(BytesIO(response.content)).convert('RGB')\n",
+    "    else:\n",
+    "        image = Image.open(img_path).convert('RGB')\n",
     "    \n",
     "    # large images will slow down processing\n",
     "    if max(image.size) > max_size:\n",

Diff for: style-transfer/Style_Transfer_Solution.ipynb

@@ -38,11 +38,13 @@
     "%matplotlib inline\n",
     "\n",
     "from PIL import Image\n",
+    "from io import BytesIO\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
     "import torch\n",
     "import torch.optim as optim\n",
+    "import requests\n",
     "from torchvision import transforms, models"
    ]
   },
@@ -158,8 +160,11 @@
     "def load_image(img_path, max_size=400, shape=None):\n",
     "    ''' Load in and transform an image, making sure the image\n",
     "       is <= 400 pixels in the x-y dims.'''\n",
-    "    \n",
-    "    image = Image.open(img_path).convert('RGB')\n",
+    "    if \"http\" in img_path:\n",
+    "        response = requests.get(img_path)\n",
+    "        image = Image.open(BytesIO(response.content)).convert('RGB')\n",
+    "    else:\n",
+    "        image = Image.open(img_path).convert('RGB')\n",
     "    \n",
     "    # large images will slow down processing\n",
     "    if max(image.size) > max_size:\n",