(self, features)
| 52 | return recover_from_ric(features, self.njoints) |
| 53 | |
| 54 | def joints2feats(self, features): |
| 55 | features = process_file(features, self.njoints)[0] |
| 56 | # mean = torch.tensor(self.hparams.mean).to(features) |
| 57 | # std = torch.tensor(self.hparams.std).to(features) |
| 58 | # features = (features - mean) / std |
| 59 | return features |
| 60 | |
| 61 | def normalize(self, features): |
| 62 | mean = torch.tensor(self.hparams.mean).to(features) |
nothing calls this directly
no test coverage detected