def load_textures(filename_obj, filename_mtl, texture_size):
# load vertices
vertices = []
with open(filename_obj) as f:
lines = f.readlines()
for line in lines:
if len(line.split()) == 0:
continue
if line.split()[0] == 'vt':
vertices.append([float(v) for v in line.split()[1:3]])
vertices = np.vstack(vertices).astype(np.float32)
# load faces for textures
faces = []
material_names = []
material_name = ''
for line in lines:
if len(line.split()) == 0:
continue
if line.split()[0] == 'f':
vs = line.split()[1:]
nv = len(vs)
if '/' in vs[0]:
v0 = int(vs[0].split('/')[1])
else:
v0 = 0
for i in range(nv - 2):
if '/' in vs[i + 1]:
v1 = int(vs[i + 1].split('/')[1])
else:
v1 = 0
if '/' in vs[i + 2]:
v2 = int(vs[i + 2].split('/')[1])
else:
v2 = 0
faces.append((v0, v1, v2))
material_names.append(material_name)
if line.split()[0] == 'usemtl':
material_name = line.split()[1]
faces = np.vstack(faces).astype(np.int32) - 1
faces = vertices[faces]
faces = torch.from_numpy(faces).cuda()
faces[1 < faces] = faces[1 < faces] % 1
colors, texture_filenames = load_mtl(filename_mtl)
textures = torch.zeros(faces.shape[0],
texture_size,
texture_size,
texture_size,
3,
dtype=torch.float32) + 0.5
textures = textures.cuda()
#
for material_name, color in colors.items():
color = torch.from_numpy(color).cuda()
for i, material_name_f in enumerate(material_names):
if material_name == material_name_f:
textures[i, :, :, :, :] = color[None, None, None, :]
for material_name, filename_texture in texture_filenames.items():
filename_texture = os.path.join(os.path.dirname(filename_obj),
filename_texture)
image = imread(filename_texture).astype(np.float32) / 255.
# pytorch does not support negative slicing for the moment
image = image[::-1, :, :]
image = torch.from_numpy(image.copy()).cuda()
is_update = (np.array(material_names) == material_name).astype(
np.int32)
is_update = torch.from_numpy(is_update).cuda()
textures = load_textures_cuda.load_textures(image, faces, textures,
is_update)
return textures
def load_textures(filename_obj,
filename_mtl,
texture_size,
texture_wrapping='REPEAT',
use_bilinear=True):
# load vertices
vertices = []
with open(filename_obj) as f:
lines = f.readlines()
for line in lines:
if len(line.split()) == 0:
continue
if line.split()[0] == 'vt':
vertices.append([float(v) for v in line.split()[1:3]])
vertices = np.vstack(vertices).astype(np.float32)
# load faces for textures
faces = []
material_names = []
material_name = ''
for line in lines:
if len(line.split()) == 0:
continue
if line.split()[0] == 'f':
vs = line.split()[1:]
nv = len(vs)
if '/' in vs[0] and '//' not in vs[0]:
v0 = int(vs[0].split('/')[1])
else:
v0 = 0
for i in range(nv - 2):
if '/' in vs[i + 1] and '//' not in vs[i + 1]:
v1 = int(vs[i + 1].split('/')[1])
else:
v1 = 0
if '/' in vs[i + 2] and '//' not in vs[i + 2]:
v2 = int(vs[i + 2].split('/')[1])
else:
v2 = 0
faces.append((v0, v1, v2))
material_names.append(material_name)
if line.split()[0] == 'usemtl':
material_name = line.split()[1]
faces = np.vstack(faces).astype(np.int32) - 1
faces = vertices[faces]
faces = torch.from_numpy(faces).cuda()
colors, texture_filenames = load_mtl(filename_mtl)
textures = torch.zeros(faces.shape[0],
texture_size,
texture_size,
texture_size,
3,
dtype=torch.float32) + 0.5
textures = textures.cuda()
#
for material_name, color in colors.items():
color = torch.from_numpy(color).cuda()
for i, material_name_f in enumerate(material_names):
if material_name == material_name_f:
textures[i, :, :, :, :] = color[None, None, None, :]
for material_name, filename_texture in texture_filenames.items():
filename_texture = os.path.join(os.path.dirname(filename_obj),
filename_texture)
image = imread(filename_texture).astype(np.float32) / 255.
# texture image may have one channel (grey color)
if len(image.shape) == 2:
image = np.stack((image, ) * 3, -1)
# or has extral alpha channel shoule ignore for now
if image.shape[2] == 4:
image = image[:, :, :3]
# pytorch does not support negative slicing for the moment
image = image[::-1, :, :]
image = torch.from_numpy(image.copy()).cuda()
is_update = (np.array(material_names) == material_name).astype(
np.int32)
is_update = torch.from_numpy(is_update).cuda()
textures = load_textures_cuda.load_textures(
image, faces, textures, is_update,
texture_wrapping_dict[texture_wrapping], use_bilinear)
return textures