diff --git a/docs/notes/visualization.md b/docs/notes/visualization.md index ec93cb88..71aa5165 100644 --- a/docs/notes/visualization.md +++ b/docs/notes/visualization.md @@ -5,12 +5,12 @@ sidebar_label: Plotly Visualization # Overview -PyTorch3D provides a modular differentiable renderer, but for instances where we want interactive plots or are not concerned with the differentiability of the rendering process, we provide [functions to render meshes and pointclouds in plotly](../../pytorch3d/vis/plotly_vis.py). These plotly figures allow you to rotate and zoom the rendered images and support plotting batched data as multiple traces in a singular plot or divided into individual subplots. +PyTorch3D provides a modular differentiable renderer, but for instances where we want interactive plots or are not concerned with the differentiability of the rendering process, we provide [functions to render meshes and pointclouds in plotly](https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/vis/plotly_vis.py). These plotly figures allow you to rotate and zoom the rendered images and support plotting batched data as multiple traces in a singular plot or divided into individual subplots. # Examples -These rendering functions accept plotly x,y, and z axis arguments as `kwargs`, allowing us to customize the plots. Here are two plots with colored axes, a [Pointclouds plot](assets/plotly_pointclouds.png), a [batched Meshes plot in subplots](assets/plotly_meshes_batch.png), and a [batched Meshes plot with multiple traces](assets/plotly_meshes_trace.png). Refer to the [render textured meshes](../tutorials/render_textured_meshes.ipynb) and [render colored pointclouds](../tutorials/render_colored_points) tutorials for code examples. +These rendering functions accept plotly x,y, and z axis arguments as `kwargs`, allowing us to customize the plots. Here are two plots with colored axes, a [Pointclouds plot](assets/plotly_pointclouds.png), a [batched Meshes plot in subplots](assets/plotly_meshes_batch.png), and a [batched Meshes plot with multiple traces](assets/plotly_meshes_trace.png). Refer to the [render textured meshes](https://pytorch3d.org/tutorials/render_textured_meshes) and [render colored pointclouds](https://pytorch3d.org/tutorials/render_colored_points) tutorials for code examples. # Saving plots to images