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Hans1984 avatar Hans1984 commented on July 21, 2024

Hi, thanks for the attention. It's hard to tell what happen there from the limited information. However, do you check the intensities of the HDR images you use. If you use .exr images, from my experience, sometimes it will appear nagative values after do resizing.

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manu15sd avatar manu15sd commented on July 21, 2024

I'm using.exr; however, I've noticed that sometimes an identical image yields a black output, while other times it yields a standard one, so I think that it is not about intensities because some times the result is correct.

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Hans1984 avatar Hans1984 commented on July 21, 2024

Ok, I haven't encountered such problem. My suggestion is that to use a fixed seed for hyper parameters initialization.

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manu15sd avatar manu15sd commented on July 21, 2024

I can't find an exposed seed anywhere

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Hans1984 avatar Hans1984 commented on July 21, 2024

I mean to set a fixed seed, something like, torch.manual_seed(seed_value) in pytorch (you could check that in TF).

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manu15sd avatar manu15sd commented on July 21, 2024

Yep, thank you, that worked.

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