digeo.MeshPointBatch

class digeo.MeshPointBatch(faces, uvs)

Bases: object

Initialize a batch of MeshPoints.

Parameters:

• faces (Tensor)

• uvs (Tensor)

clone()

Return type:

MeshPointBatch

detach()

Return type:

MeshPointBatch

classmethod from_points(points)

Create a MeshPointBatch from an iterable of MeshPoint objects.

Parameters:

points (Iterable[MeshPoint])

Return type:

MeshPointBatch

get_barycentric_coords()

Get the barycentric coordinates of the mesh points in the batch.

Returns:

A tensor of shape (N, 3) containing the barycentric coordinates of each point in the batch.

Return type:

Tensor

interpolate(mesh, return_batch=False)

Interpolate the positions of the mesh points in the batch.

Parameters:

• mesh (Mesh) – The mesh on which the points lie. The face indices in self.faces should correspond to the faces of this mesh.

• return_batch (bool (default=False)) – If True, return the interpolated positions as a batch of shape (B, N, 3), where B is the number of meshes in the batch (if mesh is a MeshBatch) and N is the number of points in the batch. If False, return a tensor of shape (N, 3) containing the interpolated positions of the points.

Returns:

The interpolated positions of the mesh points. Shape is (N, 3) if return_batch is False, or (B, N, 3) if return_batch is True and mesh is a MeshBatch.

Return type:

Tensor

to(device: str | device) → MeshPointBatch

to(dtype: dtype) → MeshPointBatch

to(device: str | device, dtype: dtype) → MeshPointBatch

to(tensor: Tensor) → MeshPointBatch

to(*, device: str | device | None = ..., dtype: dtype | None = ...) → MeshPointBatch

Move the mesh to a different device and/or dtype. Supports PyTorch-like overloads: - to(device) - to(dtype) - to(device, dtype) - to(device=…, dtype=…)

Return type:

MeshPointBatch

to_list()

Return type:

list[MeshPoint]