meaning of scaling factor about pwc-net HOT 2 CLOSED

1. take the example of multiplying the last layer by 5.0 as an example, the output of the flow is 1/4 in height and width, and in training we divide the flow by 20. Therefore, we need to multiply by 20/4 = 5.
2. you may have a try by fine tuning pwcnet on your own HD dataset, and take a look at the output.

from pwc-net.

2. The HD1K data are of higher resolution (2560x1080) than the training data and the trained model works on the HD1K data. The only constraint is that you need a GPU with large memory (>= 16G), such as Volta 100, to run on full HD size.

from pwc-net.