Get the model output based on a given image about miccai19-medvqa

[terryyz]

I've modified dataset_RAD.py and test.py. But how should I interpret the textual meaning directly from preds in preds = model.classifier(features) without providing the answer?

Currently, I just got

tensor([[  4521.0752, -16908.3027, -28779.4844, -32143.1523, -29880.7891,
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         -24307.5879, -26812.0645, -41332.1836]], device='cuda:0')

[terryyz]

Got IndexError: list index out of range from return dataloader.dataset.label2ans[idx.item()] by calling print(get_answer(features, dataloader))...

[terryyz]

Solved. Should be preds instead of features.