inferers

Inference strategies for scenes larger than one forward pass: tiling, windows, and refinement.

Modules:

• inferer –

  Abstract base class for test-time inference strategies.

• knn_window –

  KNN-window inference for large-scale point cloud segmentation.

• part_refinement –

  Nearest-neighbor refinement of part labels on top of another inferer's output.

• potential_sphere –

  Potential-driven sphere voting for large-scale point cloud segmentation.

• simple –

  Single forward-pass inference over the whole scene.

• sliding_window –

  Sliding-window inference for large-scale point cloud segmentation.

• tta –

  Test-time augmentation (TTA) inferer.

• voxel_partition –

  K-pass voxel-partition inferer with per-point scatter-back aggregation.