diffCheck.df_error_estimation module

This module contains the utility functions to compute the difference between source and target

class diffCheck.df_error_estimation.DFVizResults

Bases: object

This class compiles the resluts of the error estimation into one object

add(source, target, distances)

filter_values_based_on_valuetype(settings)

diffCheck.df_error_estimation.df_cloud_2_df_cloud_comparison(source_list, target_list)

Compute the Euclidean distance for every point of a source pcd to its closest point on a target pointcloud

diffCheck.df_error_estimation.df_cloud_2_rh_mesh_comparison(cloud_source_list, rhino_mesh_target_list, signed_flag, swap)

Computes distances between a pcd and a mesh

diffCheck.df_error_estimation.df_cloud_2_rh_mesh_distance(source, target, signed=False)

Calculate the distance between every point of a source pcd to its closest point on a target Rhino Mesh

diffCheck.df_error_estimation.rh_mesh_2_df_cloud_distance(source, target, signed=False)

Calculate the distance between every vertex of a Rhino Mesh to its closest point on a PCD