Point cloud filter label noise folder
- operators.tdp.point_cloud_filter_label_noise_folder(client, folder_in_data='/folder_in_data', folder_in_labels='/folder_in_labels', folder_out='/folder_out', k_nearest_neighbours=5, sigma=10.0, dim=3, invalid_label=0, worker_instance_type='P2', manager_instance_type='small', extension_file_in_data='.laz', extension_file_in_labels='.labels', extension_file_out='.laz', skip_existing_files=False)
- point_cloud_filter_label_noise_folder(client,folder_in_data=’/folder_in_data’,folder_in_labels=’/folder_in_labels’,folder_out=’/folder_out’,k_nearest_neighbours=5,sigma=10.,dim=3,invalid_label=0,worker_instance_type=’P2’,manager_instance_type=”small”,extension_folder_in_data=”.laz”,extension_folder_in_labels=”.labels”,extension_folder_out=”.laz”,skip_existing_files = False )
- Parameters:
k_nearest_neighbours – k nearest neighbours
sigma – sigma
dim – dim
invalid_label – invalid class label
folder_in_data – input folder data
folder_in_labels – input folder labels
folder_out – output folder
worker_instance_type – cloud instance type of worker nodes
manager_instance_type – cloud instance type of manager node
extension_folder_in_data – File extension of files in folder for folder_in_data
extension_folder_in_labels – File extension of files in folder for folder_in_labels
extension_folder_out – File extension of files in folder for folder_out
skip_existing_files – skip files that already exist in the output folder