| import numpy as np | |
| from scipy.ndimage import distance_transform_edt, gaussian_filter, zoom, median_filter | |
| import matplotlib.pyplot as plt | |
| from skimage.measure import marching_cubes | |
| from scipy.ndimage import binary_fill_holes, label | |
| from mpl_toolkits.mplot3d.art3d import Poly3DCollection | |
| from scipy.spatial import Delaunay | |
| from scipy.interpolate import griddata | |
| # import trimesh | |
| def compute_sdf(voxel_matrix): | |
| inside_dist = distance_transform_edt(voxel_matrix) | |
| outside_dist = distance_transform_edt(1 - voxel_matrix) | |
| sdf = outside_dist - inside_dist | |
| # sdf = gaussian_filter(sdf, sigma=3.0) | |
| sdf = sdf / 32.0 | |
| sdf = sdf.clip(-0.2, 0.2) | |
| return sdf |