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doc fix load_point_cloud => load_pointcloud
Summary: spelling errors in io.md see https://github.com/facebookresearch/pytorch3d/discussions/1450 Reviewed By: davidsonic Differential Revision: D43269978 fbshipit-source-id: 4bbe1f00bdeda4c51b7620e7b9cc065840303530
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@ -7,20 +7,20 @@ sidebar_label: File IO
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There is a flexible interface for loading and saving point clouds and meshes from different formats.
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There is a flexible interface for loading and saving point clouds and meshes from different formats.
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The main usage is via the `pytorch3d.io.IO` object, and its methods
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The main usage is via the `pytorch3d.io.IO` object, and its methods
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`load_mesh`, `save_mesh`, `load_point_cloud` and `save_point_cloud`.
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`load_mesh`, `save_mesh`, `load_pointcloud` and `save_pointcloud`.
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For example, to load a mesh you might do
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For example, to load a mesh you might do
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```
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```
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from pytorch3d.io import IO
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from pytorch3d.io import IO
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device=torch.device("cuda:0")
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device=torch.device("cuda:0")
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mesh = IO().load_mesh("mymesh.ply", device=device)
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mesh = IO().load_mesh("mymesh.obj", device=device)
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```
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```
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and to save a pointcloud you might do
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and to save a pointcloud you might do
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```
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```
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pcl = Pointclouds(...)
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pcl = Pointclouds(...)
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IO().save_point_cloud(pcl, "output_pointcloud.obj")
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IO().save_pointcloud(pcl, "output_pointcloud.ply")
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```
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```
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For meshes, this supports OBJ, PLY and OFF files.
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For meshes, this supports OBJ, PLY and OFF files.
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@ -31,4 +31,4 @@ In addition, there is experimental support for loading meshes from
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[glTF 2 assets](https://github.com/KhronosGroup/glTF/tree/master/specification/2.0)
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[glTF 2 assets](https://github.com/KhronosGroup/glTF/tree/master/specification/2.0)
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stored either in a GLB container file or a glTF JSON file with embedded binary data.
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stored either in a GLB container file or a glTF JSON file with embedded binary data.
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This must be enabled explicitly, as described in
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This must be enabled explicitly, as described in
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`pytorch3d/io/experimental_gltf_io.ply`.
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`pytorch3d/io/experimental_gltf_io.py`.
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