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
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