(self, transforms, image)
| 33 | self.transforms.append(transformation) |
| 34 | |
| 35 | def apply_transforms(self, transforms, image): |
| 36 | for transform in transforms: |
| 37 | image = transform(image) |
| 38 | return image |
| 39 | |
| 40 | @torch.no_grad() |
| 41 | def transform(self, images): |