torch_geometric.datasets.ModelNet

class ModelNet(root: str, name: str = '10', train: bool = True, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, pre_filter: Optional[Callable] = None, force_reload: bool = False)[source]

Bases: InMemoryDataset

来自“3D ShapeNets: A Deep Representation for Volumetric Shapes”论文的ModelNet10/40数据集，分别包含10个和40个类别的CAD模型。

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.

  • name (str, optional) – 数据集的名称（"10" 表示 ModelNet10，"40" 表示 ModelNet40）。（默认值："10"）

  • 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)

统计:

名称

#图表

#节点

#edges

#特性

#classes

ModelNet10

4,899

~9,508.2

~37,450.5

3

10

ModelNet40

12,311

~17,744.4

~66,060.9

3

40