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Hey, I see that in inference image by default you use powers of 2 for interpolation, but also support passing arbitrary "ratio". I'm trying to understand how RIFE is being trained and what are the actual possible inference timestamps.
Do you use random [0, 1] during training or only use powers of 2 as possible options? If powers of 2, what is the largest i can use? The reason i ask is because generally models don't work well for values outside of their training domain, so i'm being very cautious here
The text was updated successfully, but these errors were encountered:
Hey, I see that in inference image by default you use powers of 2 for interpolation, but also support passing arbitrary "ratio". I'm trying to understand how RIFE is being trained and what are the actual possible inference timestamps.
Do you use random [0, 1] during training or only use powers of 2 as possible options? If powers of 2, what is the largest i can use? The reason i ask is because generally models don't work well for values outside of their training domain, so i'm being very cautious here
The text was updated successfully, but these errors were encountered: