Semantic inference pt v2m2 folder
- operators.ml3d.semantic_inference_pt_v2m2_folder(client, data_in_folder='/data_in_folder', in_model_parameters_path='trained_model/model_ptv2m2', 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, 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)
- PT v2m2 Inference
- semantic_inference_pt_v2m2_folder(client,data_in_folder=’/data_in_folder’,in_model_parameters_path=’trained_model/model_ptv2m2’,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,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
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