Spaces:
Runtime error
Runtime error
| # -*- coding: utf-8 -*- | |
| # Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is | |
| # holder of all proprietary rights on this computer program. | |
| # You can only use this computer program if you have closed | |
| # a license agreement with MPG or you get the right to use the computer | |
| # program from someone who is authorized to grant you that right. | |
| # Any use of the computer program without a valid license is prohibited and | |
| # liable to prosecution. | |
| # | |
| # Copyright©2020 Max-Planck-Gesellschaft zur Förderung | |
| # der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute | |
| # for Intelligent Systems. All rights reserved. | |
| # | |
| # Contact: Vassilis Choutas, [email protected] | |
| import os | |
| import os.path as osp | |
| import pickle | |
| import numpy as np | |
| import torch | |
| from loguru import logger | |
| from SMPLX.transfer_model.utils.typing import Tensor | |
| def read_deformation_transfer( | |
| deformation_transfer_path: str, | |
| device=None, | |
| use_normal: bool = False, | |
| ) -> Tensor: | |
| ''' Reads a deformation transfer | |
| ''' | |
| if device is None: | |
| device = torch.device('cpu') | |
| assert osp.exists(deformation_transfer_path), ( | |
| 'Deformation transfer path does not exist:' | |
| f' {deformation_transfer_path}') | |
| logger.info( | |
| f'Loading deformation transfer from: {deformation_transfer_path}') | |
| # Read the deformation transfer matrix | |
| with open(deformation_transfer_path, 'rb') as f: | |
| def_transfer_setup = pickle.load(f, encoding='latin1') | |
| if 'mtx' in def_transfer_setup: | |
| def_matrix = def_transfer_setup['mtx'] | |
| if hasattr(def_matrix, 'todense'): | |
| def_matrix = def_matrix.todense() | |
| def_matrix = np.array(def_matrix, dtype=np.float32) | |
| if not use_normal: | |
| num_verts = def_matrix.shape[1] // 2 | |
| def_matrix = def_matrix[:, :num_verts] | |
| elif 'matrix' in def_transfer_setup: | |
| def_matrix = def_transfer_setup['matrix'] | |
| else: | |
| valid_keys = ['mtx', 'matrix'] | |
| raise KeyError(f'Deformation transfer setup must contain {valid_keys}') | |
| def_matrix = torch.tensor(def_matrix, device=device, dtype=torch.float32) | |
| return def_matrix | |
| def apply_deformation_transfer( | |
| def_matrix: Tensor, | |
| vertices: Tensor, | |
| faces: Tensor, | |
| use_normals=False | |
| ) -> Tensor: | |
| ''' Applies the deformation transfer on the given meshes | |
| ''' | |
| if use_normals: | |
| raise NotImplementedError | |
| else: | |
| def_vertices = torch.einsum('mn,bni->bmi', [def_matrix, vertices]) | |
| return def_vertices | |