A leightweight package for simplifying a mesh containing node features. The algorithm from Surface Simplification Using Quadric Error Metrics was implemented using cython.
$ pip install quad_mesh_simplifyDownload this repository and build the package by running:
$ pip install -r requirements.txt
$ python setup.py build_ext --inplace
$ pip install .This package provides one simple function to reduce a given mesh. This can be done for simple meshes or meshes with vertex features.
positions (numpy array): array of shape [num_nodes x 3] containing the x, y, z position for each node
face (numpy array): array of shape [num_faces x 3] containing the indices for each triangular face
num_nodes (int): number of nodes that the final mesh will have
threshold (number, optional): threshold of vertices distance to be a valid pair
features (numpy array): features for all nodes [num_nodes x feature_length]
threshold (double): if the distance between two vertices is below this threshold, they are considered as valid pairs that can be merged.
max_err (double): no vertices are merged that have an error higher than this number. IMPORTANT: if provided it is not guaranteed that the output will have less than num_nodes vertices.
Returns: new_positions, new_face, (new_features)
from quad_mesh_simplify import simplify_mesh
new_positions, new_face = simplify_mesh(positions, face, <final_num_nodes>) from quad_mesh_simplify import simplify_mesh
new_positions, new_face = simplify_mesh(positions, face, <final_num_nodes>, features=features) from quad_mesh_simplify import simplify_mesh
new_positions, new_face = simplify_mesh(positions, face, <final_num_nodes>, threshold=0.5)