| |
|
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
| import os.path as osp |
| import argparse |
|
|
| import numpy as np |
| import torch |
|
|
| import smplx |
|
|
|
|
| def main(model_folder, |
| model_type='smplx', |
| ext='npz', |
| gender='neutral', |
| plot_joints=False, |
| num_betas=10, |
| sample_shape=True, |
| sample_expression=True, |
| num_expression_coeffs=10, |
| plotting_module='pyrender', |
| use_face_contour=False): |
|
|
| 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, |
| ext=ext) |
| print(model) |
|
|
| betas, expression = None, None |
| if sample_shape: |
| betas = torch.randn([1, model.num_betas], dtype=torch.float32) |
| if sample_expression: |
| expression = torch.randn( |
| [1, model.num_expression_coeffs], dtype=torch.float32) |
|
|
| output = model(betas=betas, expression=expression, |
| return_verts=True) |
| vertices = output.vertices.detach().cpu().numpy().squeeze() |
| joints = output.joints.detach().cpu().numpy().squeeze() |
|
|
| print('Vertices shape =', vertices.shape) |
| print('Joints shape =', joints.shape) |
|
|
| if plotting_module == 'pyrender': |
| import pyrender |
| import trimesh |
| vertex_colors = np.ones([vertices.shape[0], 4]) * [0.3, 0.3, 0.3, 0.8] |
| tri_mesh = trimesh.Trimesh(vertices, model.faces, |
| vertex_colors=vertex_colors) |
|
|
| 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) |
| elif plotting_module == 'matplotlib': |
| from matplotlib import pyplot as plt |
| from mpl_toolkits.mplot3d import Axes3D |
| from mpl_toolkits.mplot3d.art3d import Poly3DCollection |
|
|
| fig = plt.figure() |
| ax = fig.add_subplot(111, projection='3d') |
|
|
| mesh = Poly3DCollection(vertices[model.faces], alpha=0.1) |
| face_color = (1.0, 1.0, 0.9) |
| edge_color = (0, 0, 0) |
| mesh.set_edgecolor(edge_color) |
| mesh.set_facecolor(face_color) |
| ax.add_collection3d(mesh) |
| ax.scatter(joints[:, 0], joints[:, 1], joints[:, 2], color='r') |
|
|
| if plot_joints: |
| ax.scatter(joints[:, 0], joints[:, 1], joints[:, 2], alpha=0.1) |
| plt.show() |
| elif plotting_module == 'open3d': |
| import open3d as o3d |
|
|
| mesh = o3d.geometry.TriangleMesh() |
| mesh.vertices = o3d.utility.Vector3dVector( |
| vertices) |
| mesh.triangles = o3d.utility.Vector3iVector(model.faces) |
| mesh.compute_vertex_normals() |
| mesh.paint_uniform_color([0.3, 0.3, 0.3]) |
|
|
| geometry = [mesh] |
| if plot_joints: |
| joints_pcl = o3d.geometry.PointCloud() |
| joints_pcl.points = o3d.utility.Vector3dVector(joints) |
| joints_pcl.paint_uniform_color([0.7, 0.3, 0.3]) |
| geometry.append(joints_pcl) |
|
|
| o3d.visualization.draw_geometries(geometry) |
| else: |
| raise ValueError('Unknown plotting_module: {}'.format(plotting_module)) |
|
|
|
|
| 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('--model-type', default='smplx', type=str, |
| choices=['smpl', 'smplh', 'smplx', 'mano', 'flame'], |
| help='The type of model to load') |
| parser.add_argument('--gender', type=str, default='neutral', |
| help='The gender of the model') |
| parser.add_argument('--num-betas', default=10, type=int, |
| dest='num_betas', |
| help='Number of shape coefficients.') |
| parser.add_argument('--num-expression-coeffs', default=10, type=int, |
| dest='num_expression_coeffs', |
| help='Number of expression coefficients.') |
| parser.add_argument('--plotting-module', type=str, default='pyrender', |
| dest='plotting_module', |
| choices=['pyrender', 'matplotlib', 'open3d'], |
| help='The module to use for plotting the result') |
| parser.add_argument('--ext', type=str, default='npz', |
| help='Which extension to use for loading') |
| parser.add_argument('--plot-joints', default=False, |
| type=lambda arg: arg.lower() in ['true', '1'], |
| help='The path to the model folder') |
| parser.add_argument('--sample-shape', default=True, |
| dest='sample_shape', |
| type=lambda arg: arg.lower() in ['true', '1'], |
| help='Sample a random shape') |
| 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() |
|
|
| model_folder = osp.expanduser(osp.expandvars(args.model_folder)) |
| model_type = args.model_type |
| plot_joints = args.plot_joints |
| use_face_contour = args.use_face_contour |
| gender = args.gender |
| ext = args.ext |
| plotting_module = args.plotting_module |
| num_betas = args.num_betas |
| num_expression_coeffs = args.num_expression_coeffs |
| sample_shape = args.sample_shape |
| sample_expression = args.sample_expression |
|
|
| main(model_folder, model_type, ext=ext, |
| gender=gender, plot_joints=plot_joints, |
| num_betas=num_betas, |
| num_expression_coeffs=num_expression_coeffs, |
| sample_shape=sample_shape, |
| sample_expression=sample_expression, |
| plotting_module=plotting_module, |
| use_face_contour=use_face_contour) |
|
|