albumentations
Browse files- app.py +4 -2
- requirements.txt +1 -0
app.py
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@@ -5,7 +5,9 @@ import torch
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import torchvision
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import timm
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-
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state_dict = checkpoint["state_dict"]
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model_weights = state_dict
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for key in list(model_weights):
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@@ -13,7 +15,7 @@ for key in list(model_weights):
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def get_model():
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model = timm.create_model('convnext_base.fb_in22k_ft_in1k', pretrained=
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return model
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import torchvision
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import timm
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print(timm.__version__)
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checkpoint = torch.load('v5-epoch=19-val_loss=0.1464-val_accuracy=0.9514.ckpt', map_location=torch.device('cpu'))
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state_dict = checkpoint["state_dict"]
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model_weights = state_dict
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for key in list(model_weights):
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def get_model():
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model = timm.create_model('convnext_base.fb_in22k_ft_in1k', pretrained=False, num_classes=2)
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return model
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requirements.txt
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@@ -1,3 +1,4 @@
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torch
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torchvision
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timm
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torch
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torchvision
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timm
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+
albumentations
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