| from torchvision import transforms |
|
|
| THYROID_LABEL = ['Benign', 'Malignant'] |
| THYROID_SUBGROUP = [['Papillary','Follicular','Medullary']] |
|
|
|
|
| def THYROID(): |
| return (THYROID_LABEL, THYROID_SUBGROUP[0]) |
|
|
|
|
| def Transforms(name): |
| |
| data_transforms_ONE = { |
| 'valid': transforms.Compose([ |
| transforms.CenterCrop(512), |
| transforms.Resize(224), |
| transforms.ToTensor(), |
| transforms.Normalize([.5, .5, .5], [.5, .5, .5]) |
| ]), |
| 'train': transforms.Compose([ |
| transforms.CenterCrop(512), |
| transforms.RandomCrop(256), |
| transforms.Resize(224), |
| transforms.ToTensor(), |
| transforms.Normalize([.5, .5, .5], [.5, .5, .5]) |
| ]) |
| } |
| return data_transforms_ONE |
| |