(img_tuple, mean, std)
| 49 | |
| 50 | |
| 51 | def unnormalize_img_tuple(img_tuple, mean, std): |
| 52 | if isinstance(std, torch.Tensor): |
| 53 | mean = mean.view(1, -1, 1, 1).to(img_tuple[0][1].device) |
| 54 | std = std.view(1, -1, 1, 1).to(img_tuple[0][1].device) |
| 55 | |
| 56 | return [(xx[0], (xx[1] * std + mean).clamp(min=0, max=1)) for xx in img_tuple] |
| 57 | |
| 58 | |
| 59 | def fig2img(fig): |
no outgoing calls
no test coverage detected