Density based clustering folder

operators.ops3d.density_based_clustering_folder(client, foldername='/foldername', cluster_id_foldername='/cluster_id_foldername', cluster_centers_foldername='/cluster_centers_foldername', wireframe_foldername='/wireframe_foldername', epsilon=0.25, min_samples=0, dim=3, wireframe='False', worker_instance_type='x2large', manager_instance_type='small', extension_filename='.laz', extension_cluster_id_filename='.npy', extension_cluster_centers_filename='.laz', extension_wireframe_filename='.npy', skip_existing_files=False)
Density-based Point Cloud Clustering

density_based_clustering_folder(client,
foldername=’/foldername’,
cluster_id_foldername=’/cluster_id_foldername’,
cluster_centers_foldername=’/cluster_centers_foldername’,
wireframe_foldername=’/wireframe_foldername’,
epsilon=0.25,
min_samples=0,
dim=3,
wireframe=’False’,
worker_instance_type=’x2large’,
manager_instance_type=”small”,
extension_foldername=”.laz”,
extension_cluster_id_foldername=”.npy”,
extension_cluster_centers_foldername=”.laz”,
extension_wireframe_foldername=”.npy”,
skip_existing_files = False )
Parameters:

  • epsilon – DBSCAN epsilon

  • min_samples – DBSCAN min_samples

  • dim – Point dimension

  • wireframe – Whether to compute wireframe connections

  • foldername – Input .laz folder folder

  • cluster_id_foldername – Output cluster IDs folder folder

  • cluster_centers_foldername – Output cluster centers .laz folder folder

  • wireframe_foldername – Output wireframe connections folder folder

  • worker_instance_type – cloud instance type of worker nodes

  • manager_instance_type – cloud instance type of manager node

  • extension_foldername – File extension of files in folder for foldername

  • extension_cluster_id_foldername – File extension of files in folder for cluster_id_foldername

  • extension_cluster_centers_foldername – File extension of files in folder for cluster_centers_foldername

  • extension_wireframe_foldername – File extension of files in folder for wireframe_foldername

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