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Get the model output based on a given image #4

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terryyz opened this issue Feb 22, 2021 · 3 comments
Closed

Get the model output based on a given image #4

terryyz opened this issue Feb 22, 2021 · 3 comments

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@terryyz
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terryyz commented Feb 22, 2021 •
edited

Hi, thanks for providing the autoencoder model and the checkpoints of two models. I'm wondering whether there is a quick way to encode the given new image by the pretrained CDAE, feed into the BAN model and get the results based on the original question set. Just want to have a play with this :)
@terryyz
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terryyz commented Feb 22, 2021

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,
         -29126.6074, -26594.2578, -31120.8008, -33121.8359, -40312.3633,
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         -24307.5879, -26812.0645, -41332.1836]], device='cuda:0')

@terryyz
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terryyz commented Feb 23, 2021

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

@terryyz
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terryyz commented Feb 23, 2021

Solved. Should be preds instead of features.

@terryyz terryyz closed this as completed Feb 23, 2021
@terryyz terryyz reopened this Feb 24, 2021
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