Semantic inference spunet folder

operators.ml3d.semantic_inference_spunet_folder(client, data_in_folder='/data_in_folder', in_model_parameters_path='trained_model/model_1', out_label_folder='/out_label_folder', out_probability_folder='/out_probability_folder', class_names='1,2,3,4,5,6,7,8', feature_names='red,green,blue', point_names='X,Y,Z', label_name='classification', resolution=0.05, channels='32,64,128,256,256,128,96,96', layers='2,3,4,6,2,2,2,2', number_of_votes=5, worker_instance_type='P2', manager_instance_type='small', extension_data_in_path='.laz', extension_out_label_path='.labels', extension_out_probability_path='.npy', skip_existing_files=False)
Spunet Inference

semantic_inference_spunet_folder(client,
data_in_folder=’/data_in_folder’,
in_model_parameters_path=’trained_model/model_1’,
out_label_folder=’/out_label_folder’,
out_probability_folder=’/out_probability_folder’,
class_names=’1,2,3,4,5,6,7,8’,
feature_names=’red,green,blue’,
point_names=’X,Y,Z’,
label_name=’classification’,
resolution=0.05,
channels=’32,64,128,256,256,128,96,96’,
layers=’2,3,4,6,2,2,2,2’,
number_of_votes=5,
worker_instance_type=’P2’,
manager_instance_type=”small”,
extension_data_in_folder=”.laz”,
extension_out_label_folder=”.labels”,
extension_out_probability_folder=”.npy”,
skip_existing_files = False )
Parameters:

  • in_model_parameters_path – path to model

  • 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)

  • resolution – resolution of the subsampled point cloud

  • channels – comma separated list of channels

  • layers – comma separated list of layers

  • number_of_votes – number of votes

  • data_in_folder – folder that contains the test data

  • out_label_folder – folder that contains the results

  • out_probability_folder – folder that contains the results

  • 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_out_label_folder – File extension of files in folder for out_label_folder

  • extension_out_probability_folder – File extension of files in folder for out_probability_folder

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