Downloads from utils in a couple of tutorials

Summary: Fixes #514, so we don't assume user of the tutorial has access to utils.

Reviewed By: nikhilaravi

Differential Revision: D29557294

fbshipit-source-id: 10ac994be65df0822d3ee4e9d690189ff13074a2

Author: bottler

docs/tutorials/fit_simple_neural_radiance_field.ipynb

@@ -106,11 +106,6 @@
     "    ray_bundle_to_ray_points,\n",
     ")\n",
     "\n",
-    "# add path for demo utils functions \n",
-    "sys.path.append(os.path.abspath(''))\n",
-    "from utils.plot_image_grid import image_grid\n",
-    "from utils.generate_cow_renders import generate_cow_renders\n",
-    "\n",
     "# obtain the utilized device\n",
     "if torch.cuda.is_available():\n",
     "    device = torch.device(\"cuda:0\")\n",
@@ -125,6 +120,35 @@
     "    device = torch.device(\"cpu\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/utils/plot_image_grid.py\n",
+    "!wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/utils/generate_cow_renders.py\n",
+    "from plot_image_grid import image_grid\n",
+    "from generate_cow_renders import generate_cow_renders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OR if running locally uncomment and run the following cell:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from utils.generate_cow_renders import generate_cow_renders\n",
+    "# from utils import image_grid"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

docs/tutorials/fit_textured_volume.ipynb

@@ -92,11 +92,6 @@
     ")\n",
     "from pytorch3d.transforms import so3_exp_map\n",
     "\n",
-    "# add path for demo utils functions \n",
-    "sys.path.append(os.path.abspath(''))\n",
-    "from utils.plot_image_grid import image_grid\n",
-    "from utils.generate_cow_renders import generate_cow_renders\n",
-    "\n",
     "# obtain the utilized device\n",
     "if torch.cuda.is_available():\n",
     "    device = torch.device(\"cuda:0\")\n",
@@ -105,6 +100,35 @@
     "    device = torch.device(\"cpu\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/utils/plot_image_grid.py\n",
+    "!wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/utils/generate_cow_renders.py\n",
+    "from plot_image_grid import image_grid\n",
+    "from generate_cow_renders import generate_cow_renders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OR if running locally uncomment and run the following cell:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from utils.generate_cow_renders import generate_cow_renders\n",
+    "# from utils import image_grid"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},