Estimate vobject coordinates folder

operators.fvo.estimate_vobject_coordinates_folder(client, folder_source_in='/folder_source_in', folder_trafo_out='/folder_trafo_out', folder_source_out='/folder_source_out', worker_instance_type='x2large', manager_instance_type='small', extension_file_source_in='.laz', extension_file_trafo_out='.txt', extension_file_source_out='.laz', skip_existing_files=False)

estimate_vobject_coordinates_folder(client,

folder_source_in=’/folder_source_in’,

folder_trafo_out=’/folder_trafo_out’,

folder_source_out=’/folder_source_out’,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_folder_source_in=”.laz”,

extension_folder_trafo_out=”.txt”,

extension_folder_source_out=”.laz”,

skip_existing_files = False )

Parameters:

folder_source_in – input folder data
folder_trafo_out – output trafo
folder_source_out – output folder data
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_trafo_out – File extension of files in folder for folder_trafo_out
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