Spaces:
Runtime error
Runtime error
| import torch | |
| import torchvision | |
| from torch import nn | |
| def create_effnetb1_model(num_classes:int=101): | |
| # 1,2,3 EffNetB1의 미리 훈련된 weights, transforms, model 얻기 | |
| weights = torchvision.models.EfficientNet_B1_Weights.DEFAULT | |
| transforms = weights.transforms() | |
| model = torchvision.models.efficientnet_b1(weights=weights) | |
| # 4. 기본 모델의 layer 고정 | |
| for param in model.parameters(): | |
| param.requires_grad = False | |
| # 5. classifier head 바꾸기 | |
| model.classifier = nn.Sequential( | |
| nn.Dropout(p=0.3, inplace=True), | |
| nn.Linear(in_features=1280, out_features=num_classes) | |
| ) | |
| return model, transforms | |