Assign point labels folder

operators.ops3d.assign_point_labels_folder(client, folder_source_in='/folder_source_in', folder_labels_in='/folder_labels_in', folder_source_out='/folder_source_out', dtype='classification', all_type='', worker_instance_type='x2large', manager_instance_type='small', extension_file_source_in='.laz', extension_file_labels_in='.npy', extension_file_source_out='.laz', skip_existing_files=False)

assign_point_labels_folder(client,

folder_source_in=’/folder_source_in’,

folder_labels_in=’/folder_labels_in’,

folder_source_out=’/folder_source_out’,

dtype=’classification’,

all_type=’’,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_folder_source_in=”.laz”,

extension_folder_labels_in=”.npy”,

extension_folder_source_out=”.laz”,

skip_existing_files = False )

Parameters:

dtype – value
all_type – values to load
folder_source_in – input folder data
folder_labels_in – input folder labels
folder_source_out – output folder
worker_instance_type – cloud instance type of worker nodes
manager_instance_type – cloud instance type of manager node
extension_folder_source_in – File extension of files in folder for folder_source_in
extension_folder_labels_in – File extension of files in folder for folder_labels_in
extension_folder_source_out – File extension of files in folder for folder_source_out
skip_existing_files – skip files that already exist in the output folder