Fit line model folder

operators.ops3d.fit_line_model_folder(client, folder_folder_in='/folder_folder_in', folder_folder_out='/folder_folder_out', residual_threshold=30.05, min_samples=2, max_trials=1, max_dim=3, max_num_processes=0, worker_instance_type='x2large', manager_instance_type='small', extension_folder_in='.laz', extension_folder_out='.laz', skip_existing_files=False)

fit_line_model_folder(client,

folder_in=’/folder_in’,

folder_out=’/folder_out’,

residual_threshold=30.05,

min_samples=2,

max_trials=1,

max_dim=3,

max_num_processes=0,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_folder_in=”.segmented_object”,

extension_folder_out=”.fit_line_model”,

skip_existing_files = False )

Parameters:

• residual_threshold – maximum quantile

• min_samples – minimum quantile

• max_trials – maximum number of trials

• max_dim – max_dim 0: x, 1: y, 3: z

• max_num_processes – Number of parallel processes

• folder_folder_in – input folder

• folder_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 – File extension of files in folder for folder_folder_in

• extension_folder_out – File extension of files in folder for folder_folder_out

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