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doc fix load_point_cloud => load_pointcloud

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Summary:
spelling errors in io.md

see https://github.com/facebookresearch/pytorch3d/discussions/1450

Reviewed By: davidsonic

Differential Revision: D43269978

fbshipit-source-id: 4bbe1f00bdeda4c51b7620e7b9cc065840303530
This commit is contained in:
Jeremy Reizenstein 2023-03-09 10:11:13 -08:00 committed by Facebook GitHub Bot
parent a123815f40
commit 013ff4fd90
1 changed files with 4 additions and 4 deletions
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8
docs/notes/io.md
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@ -7,20 +7,20 @@ sidebar_label: File IO
There is a flexible interface for loading and saving point clouds and meshes from different formats.
The main usage is via the `pytorch3d.io.IO` object, and its methods
`load_mesh`, `save_mesh`, `load_point_cloud` and `save_point_cloud`.
`load_mesh`, `save_mesh`, `load_pointcloud` and `save_pointcloud`.
For example, to load a mesh you might do
```
from pytorch3d.io import IO
device=torch.device("cuda:0")
mesh = IO().load_mesh("mymesh.ply", device=device)
mesh = IO().load_mesh("mymesh.obj", device=device)
```
and to save a pointcloud you might do
```
pcl = Pointclouds(...)
IO().save_point_cloud(pcl, "output_pointcloud.obj")
IO().save_pointcloud(pcl, "output_pointcloud.ply")
```
For meshes, this supports OBJ, PLY and OFF files.
@ -31,4 +31,4 @@ In addition, there is experimental support for loading meshes from
[glTF 2 assets](https://github.com/KhronosGroup/glTF/tree/master/specification/2.0)
stored either in a GLB container file or a glTF JSON file with embedded binary data.
This must be enabled explicitly, as described in
`pytorch3d/io/experimental_gltf_io.ply`.
`pytorch3d/io/experimental_gltf_io.py`.