Remove spurious compute in _compute_vertex_normals

Summary: https://github.com/facebookresearch/pytorch3d/issues/736

Reviewed By: bottler

Differential Revision: D38881935

fbshipit-source-id: 62aa3575513ab752a5afda4a257a985032bc7f6d
This commit is contained in:
Krzysztof Chalupka 2022-08-23 10:08:14 -07:00 committed by Facebook GitHub Bot
parent 898ba5c53b
commit a65928dcb9

View File

@ -890,34 +890,22 @@ class Meshes:
verts_normals = torch.zeros_like(verts_packed)
vertices_faces = verts_packed[faces_packed]
faces_normals = torch.cross(
vertices_faces[:, 2] - vertices_faces[:, 1],
vertices_faces[:, 0] - vertices_faces[:, 1],
dim=1,
)
# NOTE: this is already applying the area weighting as the magnitude
# of the cross product is 2 x area of the triangle.
verts_normals = verts_normals.index_add(
0,
faces_packed[:, 1],
torch.cross(
vertices_faces[:, 2] - vertices_faces[:, 1],
vertices_faces[:, 0] - vertices_faces[:, 1],
dim=1,
),
0, faces_packed[:, 0], faces_normals
)
verts_normals = verts_normals.index_add(
0,
faces_packed[:, 2],
torch.cross(
vertices_faces[:, 0] - vertices_faces[:, 2],
vertices_faces[:, 1] - vertices_faces[:, 2],
dim=1,
),
0, faces_packed[:, 1], faces_normals
)
verts_normals = verts_normals.index_add(
0,
faces_packed[:, 0],
torch.cross(
vertices_faces[:, 1] - vertices_faces[:, 0],
vertices_faces[:, 2] - vertices_faces[:, 0],
dim=1,
),
0, faces_packed[:, 2], faces_normals
)
self._verts_normals_packed = torch.nn.functional.normalize(