Wireframe estimation inference folder

operators.ml3d.wireframe_estimation_inference_folder(client, in_folders='/in_folders', out_result_folders='/out_result_folders', in_model_path='parameters_wireframe', knn_line=15, mode_wireframe_estimation='knn unassigned', num_votes=10, rotation_axis='z', worker_instance_type='x2large', manager_instance_type='small', extension_in_files='.laz', extension_out_result_files='.laz', skip_existing_files=False)
[hidden] Wireframe estimation inference

wireframe_estimation_inference_folder(client,
in_folders=’/in_folders’,
out_result_folders=’/out_result_folders’,
in_model_path=’parameters_wireframe’,
knn_line=15,
mode_wireframe_estimation=’knn unassigned’,
num_votes=10,
rotation_axis=’z’,
worker_instance_type=’x2large’,
manager_instance_type=”small”,
extension_in_folders=”.data_eval”,
extension_out_result_folders=”.result_wireframes”,
skip_existing_files = False )
Parameters:

  • in_model_path – model path

  • knn_line – knn line

  • mode_wireframe_estimation – mode for wireframe estimation

  • num_votes – number of votes for wireframe estimation

  • rotation_axis – rotation axis

  • in_folders – input folders or directory with training data

  • out_result_folders – output folders containing the wireframes

  • worker_instance_type – cloud instance type of worker nodes

  • manager_instance_type – cloud instance type of manager node

  • extension_in_folders – File extension of files in folder for in_folders

  • extension_out_result_folders – File extension of files in folder for out_result_folders

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