Segment objects folder

operators.tdp.segment_objects_folder(client, in_points_folder='/in_points_folder', in_labels_folder='/in_labels_folder', out_directory='segmented_object', out_prefix='object', label_col='classification', object_class=68, max_distance=2, min_points=100, worker_instance_type='P2', manager_instance_type='small', extension_in_points_file='.laz', extension_in_labels_file='.laz', skip_existing_files=False)

segment_objects_folder(client,

in_points_folder=’/in_points_folder’,

in_labels_folder=’/in_labels_folder’,

out_directory=’segmented_object’,

out_prefix=’object’,

label_col=’classification’,

object_class=68,

max_distance=2,

min_points=100,

worker_instance_type=’P2’,

manager_instance_type=”small”,

extension_in_points_folder=”.laz_files_test”,

extension_in_labels_folder=”.laz_files_test”,

skip_existing_files = False )

Parameters:

• out_directory – output directory

• out_prefix – output filename prefix

• label_col – label column id

• object_class – obejct class

• max_distance – maximum distance for segmentation

• min_points – minimum number of points

• in_points_folder – input folder points

• in_labels_folder – input folder labels

• worker_instance_type – cloud instance type of worker nodes

• manager_instance_type – cloud instance type of manager node

• extension_in_points_folder – File extension of files in folder for in_points_folder

• extension_in_labels_folder – File extension of files in folder for in_labels_folder

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