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@ -1,4 +1,5 @@
import os
import pickle
import mcubes
import numpy as np
@ -124,8 +125,9 @@ ray_d_norm = torch.norm(ray_d)
ray_d = ray_d / ray_d_norm
N = 100
t = np.linspace(-1, 1, N + 1)
N = 256
t = np.linspace(-2, 2, N + 1)
# A cube of size 2x2x2 is necessary to contain a sphere of radius 1.0
query_pts = np.stack(np.meshgrid(t, t, t), -1).astype(np.float32)
# print(query_pts.shape)
@ -167,6 +169,10 @@ fg_sigma = np.array(fg_raw_voxel)
# bg_sigma = np.array(bg_raw_voxel)
threshold = 0.5
# save the raw_voxel in pickle format
fd = open("raw_voxel_256.pkl", "wb")
pickel.dump(fg_sigma, fd)
fd.close()
# vertices, triangles = mcubes.marching_cubes(sigma, threshold)
# mesh = trimesh.Trimesh(vertices / N - .5, triangles)

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