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| import torch | |
| from torchvision import transforms, models | |
| def create_vit(output_classes: int = 6, seed: int = 233): | |
| transform = transforms.Compose([ | |
| transforms.Resize((256, 256)), | |
| transforms.CenterCrop(224), | |
| transforms.ToTensor(), | |
| transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), | |
| ]) | |
| model = models.vit_b_16() | |
| for param in model.parameters(): | |
| param.requires_grade = False | |
| torch.manual_seed(seed) | |
| model.heads = torch.nn.Sequential( | |
| torch.nn.Dropout(0.3), | |
| torch.nn.Linear(in_features=768, out_features=output_classes) | |
| ) | |
| return model, transform |