torch_geometric.datasets.SHREC2016
- class SHREC2016(root: str, partiality: str, category: str, train: bool = True, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, pre_filter: Optional[Callable] = None, force_reload: bool = False)[source]
Bases:
InMemoryDataset
The SHREC 2016 partial matching dataset from the “SHREC’16: Partial Matching of Deformable Shapes” paper. The reference shape can be referenced via
dataset.ref
.Note
Data objects hold mesh faces instead of edge indices. To convert the mesh to a graph, use the
torch_geometric.transforms.FaceToEdge
aspre_transform
. To convert the mesh to a point cloud, use thetorch_geometric.transforms.SamplePoints
astransform
to sample a fixed number of points on the mesh faces according to their face area.- Parameters:
root (str) – Root directory where the dataset should be saved.
partiality (str) – The partiality of the dataset (one of
"Holes"
,"Cuts"
).category (str) – The category of the dataset (one of
"Cat"
,"Centaur"
,"David"
,"Dog"
,"Horse"
,"Michael"
,"Victoria"
,"Wolf"
).train (bool, optional) – If
True
, loads the training dataset, otherwise the test dataset. (default:True
)transform (callable, optional) – A function/transform that takes in an
torch_geometric.data.Data
object and returns a transformed version. The data object will be transformed before every access. (default:None
)pre_transform (callable, optional) – A function/transform that takes in an
torch_geometric.data.Data
object and returns a transformed version. The data object will be transformed before being saved to disk. (default:None
)pre_filter (callable, optional) – A function that takes in an
torch_geometric.data.Data
object and returns a boolean value, indicating whether the data object should be included in the final dataset. (default:None
)force_reload (bool, optional) – Whether to re-process the dataset. (default:
False
)