(self, features)
| 85 | return recover_from_ric(features, self.njoints) |
| 86 | |
| 87 | def joints2feats(self, features): |
| 88 | features = process_file(features, self.njoints)[0] |
| 89 | return features |
| 90 | |
| 91 | def normalize(self, features): |
| 92 | mean = torch.tensor(self.hparams.mean).to(features) |
nothing calls this directly
no test coverage detected