src.model.deeplearn.dlrun.furthest_point_subsampling_post_processor
Classes
- class src.model.deeplearn.dlrun.furthest_point_subsampling_post_processor.FurthestPointSubsamplingPostProcessor(fps_preproc, **kwargs)
- Author:
Alberto M. Esmoris Pena
Postprocess an input in the furthest point subsampling space back to the original space before the subsampling.
See
FurthestPointSubsamplingPreProcessor.- Variables:
fps_preproc (
FurthestPointSubsamplingPreProcessor) – The preprocessor that generated the furthest point subsampling that must be reverted by the post-processor.
- __init__(fps_preproc, **kwargs)
Initialization/instantiation of a Furthest Point Subsampling post-processor.
- Parameters:
kwargs – The key-word arguments for the FurthestPointSubsamplingPostProcessor.
- __call__(inputs, reducer=None)
Executes the post-processing logic.
- Parameters:
inputs (dict) – A key-word input where the key “X” gives the coordinates of the points in the original point cloud. Also, the key “z” gives the predictions computed on a receptive field of \(R\) points that must be propagated back to the \(m\) points of the original point cloud.
reducer (
PredictionReducer) – The prediction reducer for the post-processor, if any.
- Returns:
The \(m\) point-wise predictions derived from the \(R\) input predictions on the receptive field.
- post_process(inputs, reducer)
Assists the
FurthestPointSubsamplingPreProcessor.__call__()providing the post-process logic itself.