Spaces:
Build error
Build error
File size: 6,291 Bytes
c614b0f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 | import os.path as osp
import argparse
import numpy as np
import torch
import pyrender
import trimesh
import smplx
from smplx.joint_names import Body
from tqdm.auto import tqdm, trange
from pathlib import Path
def main(
model_folder,
motion_file,
output_folder,
model_type="smplh",
ext="npz",
gender="neutral",
plot_joints=False,
num_betas=10,
sample_expression=True,
num_expression_coeffs=10,
use_face_contour=False,
):
output_folder = Path(output_folder)
assert output_folder.exists()
# open motion file
motion = np.load(motion_file, allow_pickle=True)
for k, v in motion.items():
if type(v) is float:
print(k, v)
else:
print(k, v.shape)
if "betas" in motion:
betas = motion["betas"]
else:
betas = np.zeros((num_betas,))
num_betas = len(betas)
# don't know where this is documented but it's from this part of amass
# https://github.com/nghorbani/amass/blob/master/src/amass/data/prepare_data.py#L39-L40
# gdr2num = {'male':-1, 'neutral':0, 'female':1}
# gdr2num_rev = {v:k for k,v in gdr2num.items()}
if "gender" in motion:
gender = str(motion["gender"])
else:
gender = gender
print(gender)
print(num_betas)
model = smplx.create(
model_folder,
model_type=model_type,
gender=gender,
use_face_contour=use_face_contour,
num_betas=num_betas,
num_expression_coeffs=num_expression_coeffs,
use_pca=False,
ext=ext,
)
betas, expression = torch.tensor(betas).float(), None
betas = betas.unsqueeze(0)[:, : model.num_betas]
if "poses" in motion:
poses = torch.tensor(motion["poses"]).float()
elif "smpl_poses" in motion:
poses = motion["smpl_poses"]
n = poses.shape[0]
if model_type == "smplh":
poses = np.stack(
[Body.from_smpl(p.reshape(-1, 3)).as_smplh() for p in poses]
)
poses = torch.tensor(poses.reshape(n, -1)).float()
global_orient = poses[:, :3]
if model_type == "smplh":
body_pose = poses[:, 3:66]
left_hand_pose = poses[:, 66:111]
right_hand_pose = poses[:, 111:156]
else:
body_pose = poses[:, 3:]
left_hand_pose = np.zeros((n, 3))
right_hand_pose = np.zeros((n, 3))
# if sample_expression:
# expression = torch.randn(
# [1, model.num_expression_coeffs], dtype=torch.float32)
# print(expression)
# print(betas.shape, body_pose.shape, expression.shape)
for pose_idx in trange(body_pose.size(0)):
pose_idx = [pose_idx]
# output = model(betas=betas, # expression=expression,
# return_verts=True)
output = model(
betas=betas,
global_orient=global_orient[pose_idx],
body_pose=body_pose[pose_idx],
left_hand_pose=left_hand_pose[pose_idx],
right_hand_pose=right_hand_pose[pose_idx],
# expression=expression,
return_verts=True,
)
vertices = output.vertices.detach().cpu().numpy().squeeze()
joints = output.joints.detach().cpu().numpy().squeeze()
vertex_colors = np.ones([vertices.shape[0], 4]) * [0.3, 0.3, 0.3, 0.8]
# process=False to avoid creating a new mesh
tri_mesh = trimesh.Trimesh(
vertices, model.faces, vertex_colors=vertex_colors, process=False
)
output_path = output_folder / "{0:04d}.obj".format(pose_idx[0])
tri_mesh.export(str(output_path))
if pose_idx[0] == 0:
print("displaying first pose, exit window to continue processing")
mesh = pyrender.Mesh.from_trimesh(tri_mesh)
scene = pyrender.Scene()
scene.add(mesh)
if plot_joints:
sm = trimesh.creation.uv_sphere(radius=0.005)
sm.visual.vertex_colors = [0.9, 0.1, 0.1, 1.0]
tfs = np.tile(np.eye(4), (len(joints), 1, 1))
tfs[:, :3, 3] = joints
joints_pcl = pyrender.Mesh.from_trimesh(sm, poses=tfs)
scene.add(joints_pcl)
pyrender.Viewer(scene, use_raymond_lighting=True)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="SMPL-X Demo")
parser.add_argument(
"--model-folder", required=True, type=str, help="The path to the model folder"
)
parser.add_argument(
"--motion-file",
required=True,
type=str,
help="The path to the motion file to process",
)
parser.add_argument(
"--output-folder", required=True, type=str, help="The path to the output folder"
)
parser.add_argument(
"--model-type",
default="smplh",
type=str,
choices=["smpl", "smplh", "smplx", "mano", "flame"],
help="The type of model to load",
)
parser.add_argument(
"--num-expression-coeffs",
default=10,
type=int,
dest="num_expression_coeffs",
help="Number of expression coefficients.",
)
parser.add_argument(
"--ext", type=str, default="npz", help="Which extension to use for loading"
)
parser.add_argument(
"--sample-expression",
default=True,
dest="sample_expression",
type=lambda arg: arg.lower() in ["true", "1"],
help="Sample a random expression",
)
parser.add_argument(
"--use-face-contour",
default=False,
type=lambda arg: arg.lower() in ["true", "1"],
help="Compute the contour of the face",
)
args = parser.parse_args()
def resolve(path):
return osp.expanduser(osp.expandvars(path))
model_folder = resolve(args.model_folder)
motion_file = resolve(args.motion_file)
output_folder = resolve(args.output_folder)
model_type = args.model_type
ext = args.ext
num_expression_coeffs = args.num_expression_coeffs
sample_expression = args.sample_expression
main(
model_folder,
motion_file,
output_folder,
model_type,
ext=ext,
sample_expression=sample_expression,
use_face_contour=args.use_face_contour,
)
|