Comments (6)
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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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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Ok, I haven't encountered such problem. My suggestion is that to use a fixed seed for hyper parameters initialization.
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I can't find an exposed seed anywhere
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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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Yep, thank you, that worked.
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