Fix some Transform3D -> Transform3d

Summary: Fix some typos in comments.

Reviewed By: patricklabatut

Differential Revision: D32596645

fbshipit-source-id: 09b6d8c49f4f0301b80df626c6f9a2d5b5d9b1a7

pytorch3d/renderer/cameras.py

@@ -227,7 +227,7 @@ def transform_points(
             eps: If eps!=None, the argument is used to clamp the
                 divisor in the homogeneous normalization of the points
                 transformed to the ndc space. Please see
-                `transforms.Transform3D.transform_points` for details.
+                `transforms.Transform3d.transform_points` for details.
 
                 For `CamerasBase.transform_points`, setting `eps > 0`
                 stabilizes gradients since it leads to avoiding division
@@ -283,7 +283,7 @@ def transform_points_ndc(
             eps: If eps!=None, the argument is used to clamp the
                 divisor in the homogeneous normalization of the points
                 transformed to the ndc space. Please see
-                `transforms.Transform3D.transform_points` for details.
+                `transforms.Transform3d.transform_points` for details.
 
                 For `CamerasBase.transform_points`, setting `eps > 0`
                 stabilizes gradients since it leads to avoiding division
@@ -313,7 +313,7 @@ def transform_points_screen(
             eps: If eps!=None, the argument is used to clamp the
                 divisor in the homogeneous normalization of the points
                 transformed to the ndc space. Please see
-                `transforms.Transform3D.transform_points` for details.
+                `transforms.Transform3d.transform_points` for details.
 
                 For `CamerasBase.transform_points`, setting `eps > 0`
                 stabilizes gradients since it leads to avoiding division

pytorch3d/structures/volumes.py

@@ -124,7 +124,7 @@ class Volumes:
     appropriate `world_coordinates` argument.
 
     Internally, the mapping between `x_local` and `x_world` is represented
-    as a `Transform3D` object `Volumes._local_to_world_transform`.
+    as a `Transform3d` object `Volumes._local_to_world_transform`.
     Users can access the relevant transformations with the
     `Volumes.get_world_to_local_coords_transform()` and
     `Volumes.get_local_to_world_coords_transform()`
@@ -260,7 +260,7 @@ def _voxel_size_translation_to_transform(
     ) -> Transform3d:
         """
         Converts the `voxel_size` and `volume_translation` constructor arguments
-        to the internal `Transform3D` object `local_to_world_transform`.
+        to the internal `Transform3d` object `local_to_world_transform`.
         """
         volume_size_zyx = self.get_grid_sizes().float()
         volume_size_xyz = volume_size_zyx[:, [2, 1, 0]]

pytorch3d/transforms/transform3d.py

@@ -32,7 +32,7 @@ class Transform3d:
 
     BROADCASTING
     Transform3d objects supports broadcasting. Suppose that t1 and tN are
-    Transform3D objects with len(t1) == 1 and len(tN) == N respectively. Then we
+    Transform3d objects with len(t1) == 1 and len(tN) == N respectively. Then we
     can broadcast transforms like this:
 
     .. code-block:: python
@@ -248,7 +248,7 @@ def _get_matrix_inverse(self):
 
     def inverse(self, invert_composed: bool = False):
         """
-        Returns a new Transform3D object that represents an inverse of the
+        Returns a new Transform3d object that represents an inverse of the
         current transformation.
 
         Args:
@@ -262,7 +262,7 @@ def inverse(self, invert_composed: bool = False):
                   independently without composing them.
 
         Returns:
-            A new Transform3D object containing the inverse of the original
+            A new Transform3d object containing the inverse of the original
             transformation.
         """