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| import numpy as np | |
| import torch | |
| import trimesh | |
| import AnimatableGaussians.config as config | |
| def _initialize_hands(self): | |
| smplx_lhand_to_mano_rhand_data = np.load(config.PROJ_DIR + '/smpl_files/mano/smplx_lhand_to_mano_rhand.npz', allow_pickle = True) | |
| smplx_rhand_to_mano_rhand_data = np.load(config.PROJ_DIR + '/smpl_files/mano/smplx_rhand_to_mano_rhand.npz', allow_pickle = True) | |
| smpl_lhand_vert_id = np.copy(smplx_lhand_to_mano_rhand_data['smpl_vert_id_to_mano']) | |
| smpl_rhand_vert_id = np.copy(smplx_rhand_to_mano_rhand_data['smpl_vert_id_to_mano']) | |
| self.smpl_lhand_vert_id = torch.from_numpy(smpl_lhand_vert_id) | |
| self.smpl_rhand_vert_id = torch.from_numpy(smpl_rhand_vert_id) | |
| self.smpl_hands_vert_id = torch.cat([self.smpl_lhand_vert_id, self.smpl_rhand_vert_id], 0) | |
| mano_face_closed = np.loadtxt(config.PROJ_DIR + '/smpl_files/mano/mano_face_close.txt').astype(np.int64) | |
| self.mano_face_closed = torch.from_numpy(mano_face_closed) | |
| self.mano_face_closed_turned = self.mano_face_closed[:, [2, 1, 0]] | |
| self.mano_face_closed_2hand = torch.cat([self.mano_face_closed[:, [2, 1, 0]], self.mano_face_closed + self.smpl_lhand_vert_id.shape[0]], 0) | |
| def generate_two_manos(self, smplx_verts: torch.Tensor): | |
| left_mano_v = smplx_verts[self.smpl_lhand_vert_id].cpu().numpy() | |
| left_mano_trimesh = trimesh.Trimesh(left_mano_v, self.mano_face_closed_turned, process = False) | |
| left_mano_n = left_mano_trimesh.vertex_normals.astype(np.float32) | |
| right_mano_v = smplx_verts[self.smpl_rhand_vert_id].cpu().numpy() | |
| right_mano_trimesh = trimesh.Trimesh(right_mano_v, self.mano_face_closed, process = False) | |
| right_mano_n = right_mano_trimesh.vertex_normals.astype(np.float32) | |
| return left_mano_v, left_mano_n, right_mano_v, right_mano_n | |