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What is the recommended test_shape value? #34
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My bad. You've mentioned 448x1024 for Sintel. But still, I would like to know if there is a heuristic behind choosing this size. Like for eg, what test_shape would choose for frames of shape (240,320) or (1080,1920)? |
Dear @NagabhushanSN95, thanks for pointing it out, It helped me to let the network run on Sintel. |
Not just 2. Shape should be divisible by 32. But i dont see a pattern in how test_shape is chosen |
yes sorry you are right, it should not be just two. To be honest I don't know the exact minimum divider. Anyway the number makes sense for Sintel. the original size 436,1024 is not divisibile by 32 without remainder, whereas 448,1024 is divisible by 32 without remainder. If you look at other repositories, similar values have been used, e.g. https://github.com/princeton-vl/RAFT I hope this helps |
Oh! Okay. Thanks. But I'm planning to use ARflow on UCF-101 dataset, whose resolution is |
I am not the author of this paper, but in my view it should be ok. However if you use the pretrained model you should be careful...If I am not mistaken, I have found that the pretrained models present a very high epe #35 |
Yes. With pre-trained models, I got the best reconstruction error when using test_shape |
I'm trying to apply ARFlow on Sintel database, which has images of shape (436, 1024). What is the recommended test shape value?
For the example given, images are of shape (375, 1242), but the used test shape is (384,640). I didn't understand how you got that value
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