(self, mode=0, is_train=False)
| 45 | |
| 46 | class Augment_RGB_Data(): |
| 47 | def __init__(self, mode=0, is_train=False): |
| 48 | if is_train: |
| 49 | if mode == 0: |
| 50 | transform = [transforms.ToTensor(), |
| 51 | transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])] |
| 52 | elif mode == 1: |
| 53 | transform = [transforms.ToTensor(), |
| 54 | transforms.Resize([224, 224]), |
| 55 | transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]), |
| 56 | transforms.RandomErasing(scale=(0.1, 0.4)), |
| 57 | transforms.RandomRotation(degrees=5), |
| 58 | transforms.RandomHorizontalFlip(p=0.5)] |
| 59 | else: |
| 60 | raise NotImplementedError(f'Uncognized data augmentation mode') |
| 61 | else: |
| 62 | transform = [transforms.ToTensor(), |
| 63 | transforms.Resize([224, 224]), |
| 64 | transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])] |
| 65 | self.transform = transforms.Compose(transform) |
| 66 | |
| 67 | def __call__(self, input): |
| 68 | output = self.transform(input) |
nothing calls this directly
no outgoing calls
no test coverage detected