(x, mean=None, std=None)
| 30 | return np.pad(x, ((0,0),(0,0), (0, length - x.shape[-1])), 'wrap') |
| 31 | |
| 32 | def normalize(x, mean=None, std=None): |
| 33 | mean = np.mean(x) if mean is None else mean |
| 34 | std = np.std(x) if std is None else std |
| 35 | return (x - mean) / (std * 1.0) |
| 36 | |
| 37 | def process_voxel_ts(v, p, t=8): |
| 38 | ''' |