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How to inference for PASTIS24 #7

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vvuonghn opened this issue Sep 10, 2023 · 3 comments
Open

How to inference for PASTIS24 #7

vvuonghn opened this issue Sep 10, 2023 · 3 comments

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@vvuonghn
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vvuonghn commented Sep 10, 2023

Hi @michaeltrs

Thank you for your release source code.

I have trained the model for fold 1 PASTIS24. The process was completed, but I don't know how to infer the model and merge it into original size HxW (128x128)

Also, There are a fews syntax bug, such as for j in unfolded_images.shape[0]:
link

@vvuonghn vvuonghn changed the title Can not re-generate the PASTIS24 syntax bug for re-generation the PASTIS24 Sep 11, 2023
@vvuonghn vvuonghn reopened this Sep 11, 2023
@vvuonghn vvuonghn changed the title syntax bug for re-generation the PASTIS24 How to inference for PASTIS24 Sep 11, 2023
@rongtongxueya
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I'm currently working on time series, but a question has been bugging me: how do you visualize the extrapolation of a CHW image using the saved BCTHW's model, and do you visualize the entire time series as a result of the extrapolation? Or do you replicate the image in the time dimension for this moment in time?

@PeterKKan
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should be:
for j in range(unfolded_images.shape[0]):

@IwantNewway
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I'm currently working on time series, but a question has been bugging me: how do you visualize the extrapolation of a CHW image using the saved BCTHW's model, and do you visualize the entire time series as a result of the extrapolation? Or do you replicate the image in the time dimension for this moment in time?

Do u fix it? i meet same question? thanks!

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