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Update tutorials to reflect plotly refactor

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Summary: Change the two affected tutorials to use plot_scene and plot_batch_individually.

Reviewed By: nikhilaravi

Differential Revision: D24235480

fbshipit-source-id: ca9d73bfb7ccf733efaf16299c15927406d7f2aa
This commit is contained in:
Amitav Baruah 2020-10-20 17:14:38 -07:00 committed by Facebook GitHub Bot
parent bf7aca320a
commit 3d1863ce6f
2 changed files with 135 additions and 28 deletions
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57
docs/tutorials/render_colored_points.ipynb
View File

@ -67,7 +67,7 @@
"\n",
"# Data structures and functions for rendering\n",
"from pytorch3d.structures import Pointclouds\n",
"from pytorch3d.vis import AxisArgs, plot_pointclouds\n",
"from pytorch3d.vis import AxisArgs, plot_batch_individually, plot_scene\n",
"from pytorch3d.renderer import (\n",
" look_at_view_transform,\n",
" FoVOrthographicCameras, \n",
@ -294,7 +294,7 @@
"source": [
"### View pointclouds in Plotly figures\n",
"\n",
"Here we use the PyTorch3D function `plot_pointclouds` to render the Pointcloud in a Plotly figure. `plot_pointclouds` returns a plotly figure with a trace for each pointcloud."
"Here we use the PyTorch3D function `plot_scene` to render the pointcloud in a Plotly figure. `plot_scene` returns a plotly figure with trace and subplots defined by the input."
]
},
{
@ -303,7 +303,11 @@
"metadata": {},
"outputs": [],
"source": [
"plot_pointclouds(point_cloud)"
"plot_scene({\n",
" \"Pointcloud\": {\n",
" \"person\": point_cloud\n",
" }\n",
"})"
]
},
{
@ -320,11 +324,38 @@
"outputs": [],
"source": [
"point_cloud_batch = Pointclouds(points=[verts, verts + 2], features=[rgb, torch.zeros_like(rgb)])\n",
"# render both in the same plot\n",
"fig = plot_pointclouds(point_cloud_batch)\n",
"# render both in the same plot in different traces\n",
"fig = plot_scene({\n",
" \"Pointcloud\": {\n",
" \"person\": point_cloud_batch[0],\n",
" \"person2\": point_cloud_batch[1]\n",
" }\n",
"})\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# render both in the same plot in one trace\n",
"fig = plot_scene({\n",
" \"Pointcloud\": {\n",
" \"2 people\": point_cloud_batch\n",
" }\n",
"})\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For batches, we can also use `plot_batch_individually` to avoid constructing the scene dictionary ourselves."
]
},
{
"cell_type": "code",
"execution_count": null,
@ -332,7 +363,7 @@
"outputs": [],
"source": [
"# render both in 1 row in different subplots\n",
"fig2 = plot_pointclouds(point_cloud_batch, in_subplots=True, ncols=2)\n",
"fig2 = plot_batch_individually(point_cloud_batch, ncols=2)\n",
"fig2.show()"
]
},
@ -351,7 +382,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"We can also modify the axis arguments and axis backgrounds, and title our plots."
"We can also modify the axis arguments and axis backgrounds for either function, and title our plots in `plot_batch_individually`."
]
},
{
@ -360,11 +391,13 @@
"metadata": {},
"outputs": [],
"source": [
"fig3 = plot_pointclouds(point_cloud_batch, xaxis={\"backgroundcolor\":\"rgb(200, 200, 230)\"},\n",
" yaxis={\"backgroundcolor\":\"rgb(230, 200, 200)\"},\n",
" zaxis={\"backgroundcolor\":\"rgb(200, 230, 200)\"}, \n",
" subplot_titles=[\"2 pointclouds\"], # this should have a title for each subplot, titles can be \"\"\n",
" axis_args=AxisArgs(showgrid=True))\n",
"fig3 = plot_batch_individually(\n",
" point_cloud_batch, \n",
" xaxis={\"backgroundcolor\":\"rgb(200, 200, 230)\"},\n",
" yaxis={\"backgroundcolor\":\"rgb(230, 200, 200)\"},\n",
" zaxis={\"backgroundcolor\":\"rgb(200, 230, 200)\"}, \n",
" subplot_titles=[\"Pointcloud1\", \"Pointcloud2\"], # this should have a title for each subplot, titles can be \"\"\n",
" axis_args=AxisArgs(showgrid=True))\n",
"fig3.show()"
]
}

106
docs/tutorials/render_textured_meshes.ipynb
View File

@ -93,7 +93,7 @@
"\n",
"# Data structures and functions for rendering\n",
"from pytorch3d.structures import Meshes\n",
"from pytorch3d.vis import AxisArgs, plot_meshes\n",
"from pytorch3d.vis import AxisArgs, plot_batch_individually, plot_scene\n",
"from pytorch3d.renderer import (\n",
" look_at_view_transform,\n",
" FoVPerspectiveCameras, \n",
@ -587,7 +587,11 @@
")\n",
"\n",
"# Render the plotly figure\n",
"fig = plot_meshes(mesh)\n",
"fig = plot_scene({\n",
" \"subplot1\": {\n",
" \"cow_mesh\": mesh\n",
" }\n",
"})\n",
"fig.show()"
]
},
@ -604,7 +608,12 @@
")\n",
"\n",
"# Render the plotly figure\n",
"plot_meshes(mesh)"
"fig = plot_scene({\n",
" \"subplot1\": {\n",
" \"cow_mesh\": mesh\n",
" }\n",
"})\n",
"fig.show()"
]
},
{
@ -619,7 +628,54 @@
" faces=[faces.to(device), faces.to(device)]\n",
")\n",
"\n",
"plot_meshes(mesh_batch)"
"# plot mesh batch in the same trace\n",
"fig = plot_scene({\n",
" \"subplot1\": {\n",
" \"cow_mesh_batch\": mesh_batch\n",
" }\n",
"})\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# plot batch of meshes in different traces\n",
"fig = plot_scene({\n",
" \"subplot1\": {\n",
" \"cow_mesh1\": mesh_batch[0],\n",
" \"cow_mesh2\": mesh_batch[1]\n",
" }\n",
"})\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# plot batch of meshes in different subplots\n",
"fig = plot_scene({\n",
" \"subplot1\": {\n",
" \"cow_mesh1\": mesh_batch[0]\n",
" },\n",
" \"subplot2\":{\n",
" \"cow_mesh2\": mesh_batch[1]\n",
" }\n",
"})\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For batches, we can also use `plot_batch_individually` to avoid constructing the scene dictionary ourselves."
]
},
{
@ -629,15 +685,12 @@
"outputs": [],
"source": [
"# extend the batch to have 4 meshes\n",
"mesh = mesh_batch.extend(2)\n",
"mesh_4 = mesh_batch.extend(2)\n",
"\n",
"# visualize the batch in different subplots, 2 per row\n",
"# title the subplots\n",
"fig = plot_meshes(mesh, in_subplots=True, ncols=2,\n",
" subplot_titles = [\"cow\" + str(i) for i in range(1,5)] # this should have a title for each subplot, titles can be \"\"\n",
" )\n",
"fig = plot_batch_individually(mesh_4)\n",
"# we can update the figure height and width\n",
"fig.update_layout(height=500, width=500)\n",
"fig.update_layout(height=1000, width=500)\n",
"fig.show()"
]
},
@ -645,7 +698,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"We can also modify the axis arguments and axis backgrounds."
"We can also modify the axis arguments and axis backgrounds in both functions. "
]
},
{
@ -654,14 +707,35 @@
"metadata": {},
"outputs": [],
"source": [
"fig2 = plot_meshes(mesh_batch, xaxis={\"backgroundcolor\":\"rgb(200, 200, 230)\"},\n",
" yaxis={\"backgroundcolor\":\"rgb(230, 200, 200)\"},\n",
" zaxis={\"backgroundcolor\":\"rgb(200, 230, 200)\"}, \n",
" subplot_titles=[\"2 meshes\"],\n",
" axis_args=AxisArgs(showgrid=True))\n",
"fig2 = plot_scene({\n",
" \"cow_plot1\": {\n",
" \"cows\": mesh_batch\n",
" }\n",
"},\n",
" xaxis={\"backgroundcolor\":\"rgb(200, 200, 230)\"},\n",
" yaxis={\"backgroundcolor\":\"rgb(230, 200, 200)\"},\n",
" zaxis={\"backgroundcolor\":\"rgb(200, 230, 200)\"}, \n",
" axis_args=AxisArgs(showgrid=True))\n",
"fig2.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fig3 = plot_batch_individually(\n",
" mesh_4, \n",
" ncols=2,\n",
" subplot_titles = [\"cow1\", \"cow2\", \"cow3\", \"cow4\"], # customize subplot titles\n",
" xaxis={\"backgroundcolor\":\"rgb(200, 200, 230)\"},\n",
" yaxis={\"backgroundcolor\":\"rgb(230, 200, 200)\"},\n",
" zaxis={\"backgroundcolor\":\"rgb(200, 230, 200)\"}, \n",
" axis_args=AxisArgs(showgrid=True))\n",
"fig3.show()"
]
},
{
"cell_type": "markdown",
"metadata": {