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fixes docstring rendering in estimate_normals (#530)

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Summary:
adds missing spaces in the `estimate_normals` docstrings

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/530

Reviewed By: bottler

Differential Revision: D26008667

Pulled By: nikhilaravi

fbshipit-source-id: 88cccd7e777fa2df0aea15c087db9e7fb634d93f
This commit is contained in:
Edgar Riba 2021-02-01 18:37:34 -08:00 committed by Facebook GitHub Bot
parent e42b0c4f70
commit f4f3d403f3
1 changed files with 4 additions and 4 deletions
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pytorch3d/structures/pointclouds.py
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@ -907,14 +907,14 @@ class Pointclouds(object):
detailed information about the implemented algorithm. detailed information about the implemented algorithm.
Args: Args:
**neighborhood_size**: The size of the neighborhood used to estimate the **neighborhood_size**: The size of the neighborhood used to estimate the
geometry around each point. geometry around each point.
**disambiguate_directions**: If `True`, uses the algorithm from [1] to **disambiguate_directions**: If `True`, uses the algorithm from [1] to
ensure sign consistency of the normals of neigboring points. ensure sign consistency of the normals of neigboring points.
**normals**: A tensor of normals for each input point **normals**: A tensor of normals for each input point
of shape `(minibatch, num_point, 3)`. of shape `(minibatch, num_point, 3)`.
If `pointclouds` are of `Pointclouds` class, returns a padded tensor. If `pointclouds` are of `Pointclouds` class, returns a padded tensor.
**assign_to_self**: If `True`, assigns the computed normals to the **assign_to_self**: If `True`, assigns the computed normals to the
internal buffers overwriting any previously stored normals. internal buffers overwriting any previously stored normals.
References: References: