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# Copyright (c) 2020-2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.
import os
import numpy as np
import torch
from . import util
from . import texture
from . import mesh
from . import material
######################################################################################
# Utility functions
######################################################################################
def _write_weights(folder, mesh):
if mesh.v_weights is not None:
file = os.path.join(folder, 'mesh.weights')
np.save(file, mesh.v_weights.detach().cpu().numpy())
def _write_bones(folder, mesh):
if mesh.bone_mtx is not None:
file = os.path.join(folder, 'mesh.bones')
np.save(file, mesh.bone_mtx.detach().cpu().numpy())
def _find_mat(materials, name):
for mat in materials:
if mat['name'] == name:
return mat
return materials[0] # Materials 0 is the default
######################################################################################
# Create mesh object from objfile
######################################################################################
def load_obj(filename, clear_ks=True, mtl_override=None):
obj_path = os.path.dirname(filename)
# Read entire file
with open(filename) as f:
lines = f.readlines()
# Load materials
all_materials = [
{
'name' : '_default_mat',
'bsdf' : 'falcor',
'kd' : texture.Texture2D(torch.tensor([0.5, 0.5, 0.5], dtype=torch.float32, device='cuda')),
'ks' : texture.Texture2D(torch.tensor([0.0, 0.0, 0.0], dtype=torch.float32, device='cuda'))
}
]
if mtl_override is None:
for line in lines:
if len(line.split()) == 0:
continue
if line.split()[0] == 'mtllib':
all_materials += material.load_mtl(obj_path + os.path.join(line.split()[1]), clear_ks) # Read in entire material library #obj_path
else:
all_materials += material.load_mtl(mtl_override)
# load vertices
vertices, texcoords, normals = [], [], []
for line in lines:
if len(line.split()) == 0:
continue
prefix = line.split()[0].lower()
if prefix == 'v':
vertices.append([float(v) for v in line.split()[1:]][:3])
elif prefix == 'vt':
val = [float(v) for v in line.split()[1:]]
texcoords.append([val[0], 1.0 - val[1]])
elif prefix == 'vn':
normals.append([float(v) for v in line.split()[1:]])
# load faces
activeMatIdx = None
used_materials = []
faces, tfaces, nfaces, mfaces = [], [], [], []
for line in lines:
if len(line.split()) == 0:
continue
prefix = line.split()[0].lower()
if prefix == 'usemtl': # Track used materials
mat = _find_mat(all_materials, line.split()[1])
if not mat in used_materials:
used_materials.append(mat)
activeMatIdx = used_materials.index(mat)
elif prefix == 'f': # Parse face
vs = line.split()[1:]
nv = len(vs)
vv = vs[0].split('/')
v0 = int(vv[0]) - 1
if len(vv) > 1:
t0 = int(vv[1]) - 1 if vv[1] != "" else -1
n0 = int(vv[2]) - 1 if vv[2] != "" else -1
else:
t0 = -1
n0 = -1
for i in range(nv - 2): # Triangulate polygons
vv = vs[i + 1].split('/')
v1 = int(vv[0]) - 1
if len(vv) > 1:
t1 = int(vv[1]) - 1 if vv[1] != "" else -1
n1 = int(vv[2]) - 1 if vv[2] != "" else -1
else:
t1 = -1
n1 = -1
vv = vs[i + 2].split('/')
v2 = int(vv[0]) - 1
if len(vv) > 1:
t2 = int(vv[1]) - 1 if vv[1] != "" else -1
n2 = int(vv[2]) - 1 if vv[2] != "" else -1
else:
t2 = -1
n2 = -1
mfaces.append(activeMatIdx)
faces.append([v0, v1, v2])
tfaces.append([t0, t1, t2])
nfaces.append([n0, n1, n2])
assert len(tfaces) == len(faces) and len(nfaces) == len (faces)
# Create an "uber" material by combining all textures into a larger texture
if len(used_materials) > 1:
uber_material, texcoords, tfaces = material.merge_materials(used_materials, texcoords, tfaces, mfaces)
elif len(used_materials) == 1:
uber_material = used_materials[0]
else:
uber_material = None
vertices = torch.tensor(vertices, dtype=torch.float32, device='cuda')
texcoords = torch.tensor(texcoords, dtype=torch.float32, device='cuda') if len(texcoords) > 0 else None
normals = torch.tensor(normals, dtype=torch.float32, device='cuda') if len(normals) > 0 else None
faces = torch.tensor(faces, dtype=torch.int64, device='cuda')
tfaces = torch.tensor(tfaces, dtype=torch.int64, device='cuda') if texcoords is not None else None
nfaces = torch.tensor(nfaces, dtype=torch.int64, device='cuda') if normals is not None else None
# Read weights and bones if available
try:
v_weights = torch.tensor(np.load(os.path.splitext(filename)[0] + ".weights.npy"), dtype=torch.float32, device='cuda')
bone_mtx = torch.tensor(np.load(os.path.splitext(filename)[0] + ".bones.npy"), dtype=torch.float32, device='cuda')
except:
v_weights, bone_mtx = None, None
return mesh.Mesh(vertices, faces, normals, nfaces, texcoords, tfaces, v_weights=v_weights, bone_mtx=bone_mtx, material=uber_material)
######################################################################################
# Save mesh object to objfile
######################################################################################
def write_obj(folder, mesh, verbose=True):
obj_file = os.path.join(folder, 'mesh.obj')
if verbose:
print("Writing mesh: ", obj_file)
with open(obj_file, "w") as f:
f.write("mtllib mesh.mtl\n")
f.write("g default\n")
v_pos = mesh.v_pos.detach().cpu().numpy() if mesh.v_pos is not None else None
v_nrm = mesh.v_nrm.detach().cpu().numpy() if mesh.v_nrm is not None else None
v_tex = mesh.v_tex.detach().cpu().numpy() if mesh.v_tex is not None else None
t_pos_idx = mesh.t_pos_idx.detach().cpu().numpy() if mesh.t_pos_idx is not None else None
t_nrm_idx = mesh.t_nrm_idx.detach().cpu().numpy() if mesh.t_nrm_idx is not None else None
t_tex_idx = mesh.t_tex_idx.detach().cpu().numpy() if mesh.t_tex_idx is not None else None
if verbose:
print(" writing %d vertices" % len(v_pos))
for v in v_pos:
f.write('v {} {} {} \n'.format(v[0], v[1], v[2]))
if v_tex is not None:
if verbose:
print(" writing %d texcoords" % len(v_tex))
assert(len(t_pos_idx) == len(t_tex_idx))
for v in v_tex:
f.write('vt {} {} \n'.format(v[0], 1.0 - v[1]))
if v_nrm is not None:
if verbose:
print(" writing %d normals" % len(v_nrm))
assert(len(t_pos_idx) == len(t_nrm_idx))
for v in v_nrm:
f.write('vn {} {} {}\n'.format(v[0], v[1], v[2]))
# faces
f.write("s 1 \n")
f.write("g pMesh1\n")
f.write("usemtl defaultMat\n")
# Write faces
if verbose:
print(" writing %d faces" % len(t_pos_idx))
for i in range(len(t_pos_idx)):
f.write("f ")
for j in range(3):
f.write(' %s/%s/%s' % (str(t_pos_idx[i][j]+1), '' if v_tex is None else str(t_tex_idx[i][j]+1), '' if v_nrm is None else str(t_nrm_idx[i][j]+1)))
f.write("\n")
mtl_file = os.path.join(folder, 'mesh.mtl')
if verbose:
print("Writing material: ", mtl_file)
material.save_mtl(mtl_file, mesh.material)
_write_weights(folder, mesh)
_write_bones(folder, mesh)
if verbose:
print("Done exporting mesh")
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