Method feats2joints

mGPT/data/Kit.py:48–52

(self, features)

        cfg.DATASET.NFEATS = self.nfeats

    def feats2joints(self, features):
        mean = torch.tensor(self.hparams.mean).to(features)
        std = torch.tensor(self.hparams.std).to(features)
        features = features * std + mean
        return recover_from_ric(features, self.njoints)

    def joints2feats(self, features):
        features = process_file(features, self.njoints)[0]