| 6 | |
| 7 | class ResBase(nn.Module): |
| 8 | def __init__(self, option='resnet50', pret=True, top=False): |
| 9 | super(ResBase, self).__init__() |
| 10 | self.dim = 2048 |
| 11 | self.top = top |
| 12 | if option == 'resnet18': |
| 13 | model_ft = models.resnet18(pretrained=pret) |
| 14 | self.dim = 512 |
| 15 | if option == 'resnet34': |
| 16 | model_ft = models.resnet34(pretrained=pret) |
| 17 | self.dim = 512 |
| 18 | if option == 'resnet50': |
| 19 | model_ft = models.resnet50(pretrained=pret) |
| 20 | if option == 'resnet101': |
| 21 | model_ft = models.resnet101(pretrained=pret) |
| 22 | if option == 'resnet152': |
| 23 | model_ft = models.resnet152(pretrained=pret) |
| 24 | |
| 25 | if top: |
| 26 | self.features = model_ft |
| 27 | else: |
| 28 | mod = list(model_ft.children()) |
| 29 | mod.pop() |
| 30 | self.features = nn.Sequential(*mod) |
| 31 | |
| 32 | |
| 33 | def forward(self, x): |