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Duplicate from radames/PIFu-Clothed-Human-Digitization
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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)