image_through_model #49
@@ -9,7 +9,7 @@ class ResNet18Head(nn.Module):
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super().__init__()
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# copy out parts from ResNet18 with weights
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resnet18 = torchvision.models.resnet18(
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weights=torchvision.models.ResNet18_Weights.IMAGENET1K_V1,
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# weights=torchvision.models.ResNet18_Weights.IMAGENET1K_V1,
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)
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# save relevant layers
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self.conv1 = resnet18.conv1
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@@ -21,7 +21,7 @@ class ResNet18Head(nn.Module):
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self.layer3 = resnet18.layer3
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self.layer4 = resnet18.layer4
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self.avgpool = resnet18.avgpool
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self.flat = nn.Flatten() # size 512
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self.flat = nn.Flatten() # size 512
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def forward(self, x):
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x = self.conv1(x)
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