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after running a couple times on different images and changing
transform = T.Compose([ T.Resize(800), T.ToTensor(), T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ])
to
transform = T.Compose([ T.Resize(500), T.ToTensor(), T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ])
I get session crashed
The text was updated successfully, but these errors were encountered:
@alcinos @ashkamath is there a place where it is hogging up memory?
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after running a couple times on different images and changing
standard PyTorch mean-std input image normalization
transform = T.Compose([
T.Resize(800),
T.ToTensor(),
T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
to
standard PyTorch mean-std input image normalization
transform = T.Compose([
T.Resize(500),
T.ToTensor(),
T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
I get session crashed
The text was updated successfully, but these errors were encountered: