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Summary: Collection of spelling things, mostly in docs / tutorials.

Reviewed By: gkioxari

Differential Revision: D26101323

fbshipit-source-id: 652f62bc9d71a4ff872efa21141225e43191353a
This commit is contained in:
Jeremy Reizenstein
2021-04-09 09:57:55 -07:00
committed by Facebook GitHub Bot
parent c2e62a5087
commit 124bb5e391
75 changed files with 220 additions and 217 deletions
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2
pytorch3d/transforms/rotation_conversions.py
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@@ -511,7 +511,7 @@ def quaternion_to_axis_angle(quaternions):
def rotation_6d_to_matrix(d6: torch.Tensor) -> torch.Tensor:
"""
Converts 6D rotation representation by Zhou et al. [1] to rotation matrix
using Gram--Schmidt orthogonalisation per Section B of [1].
using Gram--Schmidt orthogonalization per Section B of [1].
Args:
d6: 6D rotation representation, of size (*, 6)

8
pytorch3d/transforms/transform3d.py
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@@ -190,7 +190,7 @@ class Transform3d:
def compose(self, *others):
"""
Return a new Transform3d with the tranforms to compose stored as
Return a new Transform3d with the transforms to compose stored as
an internal list.
Args:
@@ -254,7 +254,7 @@ class Transform3d:
independently without composing them.
Returns:
A new Transform3D object contaning the inverse of the original
A new Transform3D object containing the inverse of the original
transformation.
"""
@@ -302,7 +302,7 @@ class Transform3d:
Args:
points: Tensor of shape (P, 3) or (N, P, 3)
eps: If eps!=None, the argument is used to clamp the
last coordinate before peforming the final division.
last coordinate before performing the final division.
The clamping corresponds to:
last_coord := (last_coord.sign() + (last_coord==0)) *
torch.clamp(last_coord.abs(), eps),
@@ -681,7 +681,7 @@ def _broadcast_bmm(a, b):
b: torch tensor of shape (N, K, K)
Returns:
a and b broadcast multipled. The output batch dimension is max(N, M).
a and b broadcast multiplied. The output batch dimension is max(N, M).
To broadcast transforms across a batch dimension if M != N then
expect that either M = 1 or N = 1. The tensor with batch dimension 1 is