# pca_align.py - Free & Open Source import numpy as np import trimesh def align_to_principal_axes(mesh_path, output_path): # Load mesh mesh = trimesh.load(mesh_path) vertices = mesh.vertices
# Compute PCA (Principal Component Analysis) centroid = vertices.mean(axis=0) centered = vertices - centroid cov = np.cov(centered.T) eigenvalues, eigenvectors = np.linalg.eig(cov) file serge3dxmeasuringcontestandprincipa free
# Ensure right-handed coordinate system if np.linalg.det(principal_axes) < 0: principal_axes[:,2] *= -1 # pca_align