Filter label noise

operators.ops3d.filter_label_noise(client, file_in_data='file.laz', file_in_labels='file.labels', file_out='result.laz', k_nearest_neighbours=5, sigma=10.0, dim=3, invalid_label=0, instance_type='x2large')

filter_label_noise( client,
file_in_data=’file.laz’,
file_in_labels=’file.labels’,
file_out=’result.laz’,
k_nearest_neighbours=5,
sigma=10.,
dim=3,
invalid_label=0,
instance_type=’x2large’ )
Parameters:
  • file_in_data – input file data

  • file_in_labels – input file labels

  • file_out – output file

  • k_nearest_neighbours – k nearest neighbours

  • sigma – sigma

  • dim – dim

  • invalid_label – invalid class label

  • instance_type – type of cloud instance used for processing