| 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 | |
| def sdf_to_voxel(sdf, level=0.02): | |
| sdf_smoothed = gaussian_filter(sdf, sigma=0.5) | |
| binary_mask = binary_fill_holes(sdf_smoothed <= level).astype(np.uint8) | |
| # structuring_element = ball(radius=1) | |
| # binary_mask_opened = binary_opening(binary_mask, footprint=structuring_element) | |
| # binary_mask_closed = binary_closing(binary_mask_opened, footprint=structuring_element) | |
| # binary_mask_eroded = binary_erosion(binary_mask_closed, structure=structuring_element) | |
| # binary_mask_dilated = binary_dilation(binary_mask_eroded, structure=structuring_element) | |
| # filled_voxel = gaussian_filter(binary_mask_dilated.astype(np.float32), sigma=1.0) | |
| # filled_voxel = filled_voxel > 0.5 | |
| filled_voxel = binary_mask | |
| return filled_voxel | |
| # def sdf_to_voxel(sdf, level=0.02): | |
| # sdf = gaussian_filter(sdf, sigma=3.0) | |
| # sdf = median_filter(sdf, size=5) | |
| # filled_voxel = binary_fill_holes(sdf <= level).astype(np.uint8) | |
| # return filled_voxel |