torch_geometric.datasets.TOSCA

class TOSCA(root: str, categories: Optional[List[str]] = None, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, pre_filter: Optional[Callable] = None, force_reload: bool = False)[source]

Bases: InMemoryDataset

来自“非刚性形状的数值几何”一书的TOSCA数据集，包含80个网格。 同一类别中的网格具有相同的三角剖分和相同数量的顶点，并以兼容的方式编号。

注意

Data objects hold mesh faces instead of edge indices. To convert the mesh to a graph, use the torch_geometric.transforms.FaceToEdge as pre_transform. To convert the mesh to a point cloud, use the torch_geometric.transforms.SamplePoints as transform 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.

  • categories (list, optional) – 要包含在数据集中的类别列表。可以包括类别 "Cat", "Centaur", "David", "Dog", "Gorilla", "Horse", "Michael", "Victoria", "Wolf"。如果设置为 None，数据集将包含所有类别。（默认值： None）

  • 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)