Return mean/std/count summary for scalar values.
(values: List[float])
| 9 | |
| 10 | |
| 11 | def summarize_scores(values: List[float]): |
| 12 | """Return mean/std/count summary for scalar values.""" |
| 13 | if not values: |
| 14 | return {"mean": 0.0, "std": 0.0, "num_samples": 0} |
| 15 | arr = torch.tensor(values, dtype=torch.float32) |
| 16 | std = arr.std(unbiased=False).item() if arr.numel() > 1 else 0.0 |
| 17 | return { |
| 18 | "mean": arr.mean().item(), |
| 19 | "std": std, |
| 20 | "num_samples": arr.numel(), |
| 21 | } |
| 22 | |
| 23 | def get_smpl_model(gender='neutral', model_path='data/body_models/smpl', batch_size=1, device='cuda'): |
| 24 | """ |
no outgoing calls
no test coverage detected