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