datasets

Benchmark point cloud datasets with disk caching and download helpers.

Modules:

• concat –

  Concatenate several datasets into one flat index space for multi-dataset joint training.

• kitti –

  KITTI 3D object detection dataset with calibration loading and coordinate-frame conversion helpers.

• mix –

  Dataset wrapper that mixes each sample with a random partner via a pairwise transform.

• modelnet –

  ModelNet10/40 shape classification datasets, including normal-resampled and HDF5 variants.

• nuscenes –

  nuScenes 3D object detection datasets with sweep aggregation and annotation loading helpers.

• parislille3d –

  The Paris-Lille-3D (NPM3D) dataset.

• pointcloud –

  Base class for point cloud datasets cached on disk under a raw/ + processed/ layout.

• repeat –

  Dataset wrapper that lengthens an epoch by repeating an underlying dataset.

• s3dis –

  S3DIS indoor scene segmentation datasets with room loading, alignment, and tiling helpers.

• scannet –

  The ScanNet dataset as described in the paper

• scanobjectnn –

  ScanObjectNN real-world object classification dataset with its background and perturbation variants.

• semantic3d –

  The Semantic3D dataset.

• semantickitti –

  The SemanticKITTI dataset, as described in the paper

• shapenetpart –

  ShapeNetPart object part segmentation dataset.

• sunrgbd –

  The SUN RGB-D dataset for 3D object detection, as described in the paper

• toronto3d –

  The Toronto-3D dataset.

• utils –

  Download, archive extraction, and hash verification helpers for disk-cached datasets.