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import os | |
import trimesh | |
import numpy as np | |
import math | |
from scipy.special import sph_harm | |
import argparse | |
from tqdm import tqdm | |
def factratio(N, D): | |
if N >= D: | |
prod = 1.0 | |
for i in range(D+1, N+1): | |
prod *= i | |
return prod | |
else: | |
prod = 1.0 | |
for i in range(N+1, D+1): | |
prod *= i | |
return 1.0 / prod | |
def KVal(M, L): | |
return math.sqrt(((2 * L + 1) / (4 * math.pi)) * (factratio(L - M, L + M))) | |
def AssociatedLegendre(M, L, x): | |
if M < 0 or M > L or np.max(np.abs(x)) > 1.0: | |
return np.zeros_like(x) | |
pmm = np.ones_like(x) | |
if M > 0: | |
somx2 = np.sqrt((1.0 + x) * (1.0 - x)) | |
fact = 1.0 | |
for i in range(1, M+1): | |
pmm = -pmm * fact * somx2 | |
fact = fact + 2 | |
if L == M: | |
return pmm | |
else: | |
pmmp1 = x * (2 * M + 1) * pmm | |
if L == M+1: | |
return pmmp1 | |
else: | |
pll = np.zeros_like(x) | |
for i in range(M+2, L+1): | |
pll = (x * (2 * i - 1) * pmmp1 - (i + M - 1) * pmm) / (i - M) | |
pmm = pmmp1 | |
pmmp1 = pll | |
return pll | |
def SphericalHarmonic(M, L, theta, phi): | |
if M > 0: | |
return math.sqrt(2.0) * KVal(M, L) * np.cos(M * phi) * AssociatedLegendre(M, L, np.cos(theta)) | |
elif M < 0: | |
return math.sqrt(2.0) * KVal(-M, L) * np.sin(-M * phi) * AssociatedLegendre(-M, L, np.cos(theta)) | |
else: | |
return KVal(0, L) * AssociatedLegendre(0, L, np.cos(theta)) | |
def save_obj(mesh_path, verts): | |
file = open(mesh_path, 'w') | |
for v in verts: | |
file.write('v %.4f %.4f %.4f\n' % (v[0], v[1], v[2])) | |
file.close() | |
def sampleSphericalDirections(n): | |
xv = np.random.rand(n,n) | |
yv = np.random.rand(n,n) | |
theta = np.arccos(1-2 * xv) | |
phi = 2.0 * math.pi * yv | |
phi = phi.reshape(-1) | |
theta = theta.reshape(-1) | |
vx = -np.sin(theta) * np.cos(phi) | |
vy = -np.sin(theta) * np.sin(phi) | |
vz = np.cos(theta) | |
return np.stack([vx, vy, vz], 1), phi, theta | |
def getSHCoeffs(order, phi, theta): | |
shs = [] | |
for n in range(0, order+1): | |
for m in range(-n,n+1): | |
s = SphericalHarmonic(m, n, theta, phi) | |
shs.append(s) | |
return np.stack(shs, 1) | |
def computePRT(mesh_path, n, order): | |
mesh = trimesh.load(mesh_path, process=False) | |
vectors_orig, phi, theta = sampleSphericalDirections(n) | |
SH_orig = getSHCoeffs(order, phi, theta) | |
w = 4.0 * math.pi / (n*n) | |
origins = mesh.vertices | |
normals = mesh.vertex_normals | |
n_v = origins.shape[0] | |
origins = np.repeat(origins[:,None], n, axis=1).reshape(-1,3) | |
normals = np.repeat(normals[:,None], n, axis=1).reshape(-1,3) | |
PRT_all = None | |
for i in tqdm(range(n)): | |
SH = np.repeat(SH_orig[None,(i*n):((i+1)*n)], n_v, axis=0).reshape(-1,SH_orig.shape[1]) | |
vectors = np.repeat(vectors_orig[None,(i*n):((i+1)*n)], n_v, axis=0).reshape(-1,3) | |
dots = (vectors * normals).sum(1) | |
front = (dots > 0.0) | |
delta = 1e-3*min(mesh.bounding_box.extents) | |
hits = mesh.ray.intersects_any(origins + delta * normals, vectors) | |
nohits = np.logical_and(front, np.logical_not(hits)) | |
PRT = (nohits.astype(np.float) * dots)[:,None] * SH | |
if PRT_all is not None: | |
PRT_all += (PRT.reshape(-1, n, SH.shape[1]).sum(1)) | |
else: | |
PRT_all = (PRT.reshape(-1, n, SH.shape[1]).sum(1)) | |
PRT = w * PRT_all | |
# NOTE: trimesh sometimes break the original vertex order, but topology will not change. | |
# when loading PRT in other program, use the triangle list from trimesh. | |
return PRT, mesh.faces | |
def testPRT(dir_path, n=40): | |
if dir_path[-1] == '/': | |
dir_path = dir_path[:-1] | |
sub_name = dir_path.split('/')[-1][:-4] | |
obj_path = os.path.join(dir_path, sub_name + '_100k.obj') | |
os.makedirs(os.path.join(dir_path, 'bounce'), exist_ok=True) | |
PRT, F = computePRT(obj_path, n, 2) | |
np.savetxt(os.path.join(dir_path, 'bounce', 'bounce0.txt'), PRT, fmt='%.8f') | |
np.save(os.path.join(dir_path, 'bounce', 'face.npy'), F) | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser() | |
parser.add_argument('-i', '--input', type=str, default='/home/shunsuke/Downloads/rp_dennis_posed_004_OBJ') | |
parser.add_argument('-n', '--n_sample', type=int, default=40, help='squared root of number of sampling. the higher, the more accurate, but slower') | |
args = parser.parse_args() | |
testPRT(args.input) | |