(self, cfg, **kwargs)
| 10 | |
| 11 | class HumanML3DDataModule(BASEDataModule): |
| 12 | def __init__(self, cfg, **kwargs): |
| 13 | |
| 14 | super().__init__(collate_fn=humanml3d_collate) |
| 15 | self.cfg = cfg |
| 16 | self.save_hyperparameters(logger=False) |
| 17 | |
| 18 | # Basic info of the dataset |
| 19 | cfg.DATASET.JOINT_TYPE = 'humanml3d' |
| 20 | self.name = "humanml3d" |
| 21 | self.njoints = 22 |
| 22 | |
| 23 | # Path to the dataset |
| 24 | data_root = cfg.DATASET.HUMANML3D.ROOT |
| 25 | self.hparams.data_root = data_root |
| 26 | self.hparams.text_dir = pjoin(data_root, "texts") |
| 27 | self.hparams.motion_dir = pjoin(data_root, 'new_joint_vecs') |
| 28 | |
| 29 | # Mean and std of the dataset |
| 30 | dis_data_root = pjoin(cfg.DATASET.HUMANML3D.MEAN_STD_PATH, 't2m', "VQVAEV3_CB1024_CMT_H1024_NRES3", "meta") |
| 31 | self.hparams.mean = np.load(pjoin(dis_data_root, "mean.npy")) |
| 32 | self.hparams.std = np.load(pjoin(dis_data_root, "std.npy")) |
| 33 | |
| 34 | # Mean and std for fair evaluation |
| 35 | dis_data_root_eval = pjoin(cfg.DATASET.HUMANML3D.MEAN_STD_PATH, 't2m', "Comp_v6_KLD01", "meta") |
| 36 | self.hparams.mean_eval = np.load(pjoin(dis_data_root_eval, "mean.npy")) |
| 37 | self.hparams.std_eval = np.load(pjoin(dis_data_root_eval, "std.npy")) |
| 38 | |
| 39 | # Length of the dataset |
| 40 | self.hparams.max_motion_length = cfg.DATASET.HUMANML3D.MAX_MOTION_LEN |
| 41 | self.hparams.min_motion_length = cfg.DATASET.HUMANML3D.MIN_MOTION_LEN |
| 42 | self.hparams.max_text_len = cfg.DATASET.HUMANML3D.MAX_TEXT_LEN |
| 43 | self.hparams.unit_length = cfg.DATASET.HUMANML3D.UNIT_LEN |
| 44 | |
| 45 | # Additional parameters |
| 46 | self.hparams.debug = cfg.DEBUG |
| 47 | self.hparams.stage = cfg.TRAIN.STAGE |
| 48 | self.hparams.w_vectorizer = WordVectorizer( |
| 49 | cfg.DATASET.WORD_VERTILIZER_PATH, "our_vab") |
| 50 | |
| 51 | # Dataset switch |
| 52 | self.DatasetEval = Text2MotionDatasetEval |
| 53 | |
| 54 | if cfg.TRAIN.STAGE == "vae": |
| 55 | if cfg.model.params.motion_vae.target.split('.')[-1].lower() == "vqvae": |
| 56 | self.hparams.win_size = 64 |
| 57 | self.Dataset = MotionDatasetVQ |
| 58 | else: |
| 59 | self.Dataset = MotionDataset |
| 60 | elif 'lm' in cfg.TRAIN.STAGE: |
| 61 | self.hparams.code_path = cfg.DATASET.CODE_PATH |
| 62 | self.hparams.task_path = cfg.DATASET.TASK_PATH |
| 63 | self.hparams.std_text = cfg.DATASET.HUMANML3D.STD_TEXT |
| 64 | self.Dataset = Text2MotionDatasetCB |
| 65 | elif cfg.TRAIN.STAGE == "token": |
| 66 | self.Dataset = Text2MotionDatasetToken |
| 67 | self.DatasetEval = Text2MotionDatasetToken |
| 68 | elif cfg.TRAIN.STAGE == "m2t": |
| 69 | self.Dataset = Text2MotionDatasetM2T |
nothing calls this directly
no test coverage detected