Uniform down sampling folder

operators.ops3d.uniform_down_sampling_folder(client, input_folder='/input_folder', cols='', output_folder='/output_folder', every_k_points=2, worker_instance_type='x2large', manager_instance_type='small', extension_input_file='.laz', extension_output_file='.laz', skip_existing_files=False)

Uniform down sampling of point cloud

uniform_down_sampling_folder(client,

input_folder=’/input_folder’,

cols=’’,

output_folder=’/output_folder’,

every_k_points=2,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_input_folder=”.laz”,

extension_output_folder=”.laz”,

skip_existing_files = False )

Parameters:

• cols – Columns to read from input file, default is all columns

• every_k_points – Keep every k points

• input_folder – Input point cloud folder

• output_folder – Output point cloud folder

• worker_instance_type – cloud instance type of worker nodes

• manager_instance_type – cloud instance type of manager node

• extension_input_folder – File extension of files in folder for input_folder

• extension_output_folder – File extension of files in folder for output_folder

• skip_existing_files – skip files that already exist in the output folder