1 VinSnippetView
data_handling.efm_views.VinSnippetView(points_world, lengths, t_world_rig)Minimal snippet payload for VIN v2 batching.
1.1 Attributes
| Name | Type | Description |
|---|---|---|
| points_world | Tensor | Tensor["K (3+C)", float32] collapsed semidense points. Base columns are XYZ; optional extras include inv_dist_std and observation count (number of snippet frames that saw the point). |
| lengths | Tensor | Tensor["B"] or Tensor["1"] number of valid points in points_world (before padding). |
| t_world_rig | PoseTW | PoseTW["F 12"] historical world←rig poses. |
1.2 Methods
| Name | Description |
|---|---|
| to | Move the VIN snippet tensors to the requested device and dtype. |
1.2.1 to
data_handling.efm_views.VinSnippetView.to(device, *, dtype=None)Move the VIN snippet tensors to the requested device and dtype.