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