19 lines
485 B
Python
19 lines
485 B
Python
import torch.nn as nn
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from torchvision import models
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from core.const import num_classes
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class resnet18(nn.Module):
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def __init__(self):
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super(resnet18, self).__init__()
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self.model = models.resnet18(weights='IMAGENET1K_V1')
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self.num_features = self.model.fc.in_features
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self.model.fc = nn.Linear(self.num_features, num_classes)
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def forward(self, x):
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out = self.model(x)
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return out
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def pytorch_resnet18():
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return resnet18() |