Semantic inference scf folder

operators.ml3d.semantic_inference_scf_folder(client, data_in_folder='/data_in_folder', class_names='1,2,3,4,5,6,7,8', feature_names='red,green,blue', point_names='x,y,z', label_name='classification', feature_dimensions='12,48,96,192,384', batch_size=2, results_labels_folder='/results_labels_folder', in_model_parameters_path='results/Log_2022-11-10_11-42-05', results_probabilities_folder='/results_probabilities_folder', number_of_votes=5, worker_instance_type='x2large', manager_instance_type='small', extension_data_in_path='.laz', extension_results_labels_path='.labels', extension_results_probabilities_path='.npy', skip_existing_files=False)

semantic_inference_scf_folder(client,
data_in_folder=’/data_in_folder’,
class_names=’1,2,3,4,5,6,7,8’,
feature_names=’red,green,blue’,
point_names=’x,y,z’,
label_name=’classification’,
feature_dimensions=’12,48,96,192,384’,
batch_size=2,
results_labels_folder=’/results_labels_folder’,
in_model_parameters_path=’results/Log_2022-11-10_11-42-05’,
results_probabilities_folder=’/results_probabilities_folder’,
number_of_votes=5,
worker_instance_type=’x2large’,
manager_instance_type=”small”,
extension_data_in_folder=”.laz”,
extension_results_labels_folder=”.labels”,
extension_results_probabilities_folder=”.npy”,
skip_existing_files = False )
Parameters:

  • class_names – comma separated list of class names. Class 0 is always given and is used to denote unlabeled points.

  • feature_names – comma separated list of features that are provided

  • point_names – comma separated list of point identifiers in (las/laz)

  • label_name – label name for (las/laz)

  • feature_dimensions – feature dimensions

  • batch_size – batch_size

  • in_model_parameters_path – path to model

  • number_of_votes – number of votes to vote for a class

  • data_in_folder – folder to folder that contains the training data

  • results_labels_folder – folder to labels

  • results_probabilities_folder – folder to probabilities

  • worker_instance_type – cloud instance type of worker nodes

  • manager_instance_type – cloud instance type of manager node

  • extension_data_in_folder – File extension of files in folder for data_in_folder

  • extension_results_labels_folder – File extension of files in folder for results_labels_folder

  • extension_results_probabilities_folder – File extension of files in folder for results_probabilities_folder

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